Results: Modeling and Forecasting

The UCM Procedure

Input Data Set

Input Data Set
Name WORK.PREPROCESSEDDATA
Time ID Variable Date_of_death

County=Clark

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.40678 1.30620

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.40678 1.30620

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.35915
Level Error Variance 0.50968
Season Error Variance 1.78570

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -395
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 796.06
BIC (smaller is better) 806.29
AICC (smaller is better) 796.17
HQIC (smaller is better) 800.19
CAIC (smaller is better) 809.29
Likelihood Optimization Algorithm Converged in 15 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.63668 0.15598 10.49 <.0001
Level Error Variance 0.00097308 0.0011333 0.86 0.3905
Season Error Variance 1.851008E-7 0.0001057 0.00 0.9986

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 1.99422
Root Mean Squared Error 1.41217
Mean Absolute Percentage Error 76.15010
Maximum Percent Error 75.24209
R-Square -0.19127
Adjusted R-Square -0.20205
Random Walk R-Square 0.32623
Amemiya's Adjusted R-Square -0.22361

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 7.70 0.0055
Level 1 109.66 <.0001
Season 11 13.62 0.2550

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.080551539 0.1986823

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.851008E-7

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error
Chi-Square DF Pr > ChiSq
193 FEB2016 Additive Outlier 2.63569 1.3192695 3.99 1 0.0457

Residual Diagnostics Panel

 Prediction Error = 4.6579 
 Percent = 0.0176  Prediction Error = 4.6108 
 Percent = 0.0215  Prediction Error = 4.6108 
 Percent = 0.0215  Prediction Error = 4.5637 
 Percent = 0.026  Prediction Error = 4.5637 
 Percent = 0.026  Prediction Error = 4.5166 
 Percent = 0.0314  Prediction Error = 4.5166 
 Percent = 0.0314  Prediction Error = 4.4695 
 Percent = 0.0377  Prediction Error = 4.4695 
 Percent = 0.0377  Prediction Error = 4.4224 
 Percent = 0.0451  Prediction Error = 4.4224 
 Percent = 0.0451  Prediction Error = 4.3753 
 Percent = 0.0537  Prediction Error = 4.3753 
 Percent = 0.0537  Prediction Error = 4.3282 
 Percent = 0.0637  Prediction Error = 4.3282 
 Percent = 0.0637  Prediction Error = 4.2811 
 Percent = 0.0753  Prediction Error = 4.2811 
 Percent = 0.0753  Prediction Error = 4.2341 
 Percent = 0.0886  Prediction Error = 4.2341 
 Percent = 0.0886  Prediction Error = 4.187 
 Percent = 0.1039  Prediction Error = 4.187 
 Percent = 0.1039  Prediction Error = 4.1399 
 Percent = 0.1213  Prediction Error = 4.1399 
 Percent = 0.1213  Prediction Error = 4.0928 
 Percent = 0.1412  Prediction Error = 4.0928 
 Percent = 0.1412  Prediction Error = 4.0457 
 Percent = 0.1637  Prediction Error = 4.0457 
 Percent = 0.1637  Prediction Error = 3.9986 
 Percent = 0.1891  Prediction Error = 3.9986 
 Percent = 0.1891  Prediction Error = 3.9515 
 Percent = 0.2177  Prediction Error = 3.9515 
 Percent = 0.2177  Prediction Error = 3.9044 
 Percent = 0.2498  Prediction Error = 3.9044 
 Percent = 0.2498  Prediction Error = 3.8573 
 Percent = 0.2858  Prediction Error = 3.8573 
 Percent = 0.2858  Prediction Error = 3.8102 
 Percent = 0.3259  Prediction Error = 3.8102 
 Percent = 0.3259  Prediction Error = 3.7631 
 Percent = 0.3706  Prediction Error = 3.7631 
 Percent = 0.3706  Prediction Error = 3.7161 
 Percent = 0.4201  Prediction Error = 3.7161 
 Percent = 0.4201  Prediction Error = 3.669 
 Percent = 0.475  Prediction Error = 3.669 
 Percent = 0.475  Prediction Error = 3.6219 
 Percent = 0.5355  Prediction Error = 3.6219 
 Percent = 0.5355  Prediction Error = 3.5748 
 Percent = 0.6023  Prediction Error = 3.5748 
 Percent = 0.6023  Prediction Error = 3.5277 
 Percent = 0.6756  Prediction Error = 3.5277 
 Percent = 0.6756  Prediction Error = 3.4806 
 Percent = 0.756  Prediction Error = 3.4806 
 Percent = 0.756  Prediction Error = 3.4335 
 Percent = 0.844  Prediction Error = 3.4335 
 Percent = 0.844  Prediction Error = 3.3864 
 Percent = 0.9401  Prediction Error = 3.3864 
 Percent = 0.9401  Prediction Error = 3.3393 
 Percent = 1.0448  Prediction Error = 3.3393 
 Percent = 1.0448  Prediction Error = 3.2922 
 Percent = 1.1587  Prediction Error = 3.2922 
 Percent = 1.1587  Prediction Error = 3.2451 
 Percent = 1.2822  Prediction Error = 3.2451 
 Percent = 1.2822  Prediction Error = 3.198 
 Percent = 1.4159  Prediction Error = 3.198 
 Percent = 1.4159  Prediction Error = 3.151 
 Percent = 1.5603  Prediction Error = 3.151 
 Percent = 1.5603  Prediction Error = 3.1039 
 Percent = 1.7158  Prediction Error = 3.1039 
 Percent = 1.7158  Prediction Error = 3.0568 
 Percent = 1.883  Prediction Error = 3.0568 
 Percent = 1.883  Prediction Error = 3.0097 
 Percent = 2.0621  Prediction Error = 3.0097 
 Percent = 2.0621  Prediction Error = 2.9626 
 Percent = 2.2535  Prediction Error = 2.9626 
 Percent = 2.2535  Prediction Error = 2.9155 
 Percent = 2.4575  Prediction Error = 2.9155 
 Percent = 2.4575  Prediction Error = 2.8684 
 Percent = 2.6741  Prediction Error = 2.8684 
 Percent = 2.6741  Prediction Error = 2.8213 
 Percent = 2.9034  Prediction Error = 2.8213 
 Percent = 2.9034  Prediction Error = 2.7742 
 Percent = 3.1453  Prediction Error = 2.7742 
 Percent = 3.1453  Prediction Error = 2.7271 
 Percent = 3.3995  Prediction Error = 2.7271 
 Percent = 3.3995  Prediction Error = 2.68 
 Percent = 3.6657  Prediction Error = 2.68 
 Percent = 3.6657  Prediction Error = 2.633 
 Percent = 3.9433  Prediction Error = 2.633 
 Percent = 3.9433  Prediction Error = 2.5859 
 Percent = 4.2316  Prediction Error = 2.5859 
 Percent = 4.2316  Prediction Error = 2.5388 
 Percent = 4.5297  Prediction Error = 2.5388 
 Percent = 4.5297  Prediction Error = 2.4446 
 Percent = 5.1507  Prediction Error = 2.4446 
 Percent = 5.1507  Prediction Error = 2.2562 
 Percent = 6.4517  Prediction Error = 2.2562 
 Percent = 6.4517  Prediction Error = 2.115 
 Percent = 7.4234  Prediction Error = 2.115 
 Percent = 7.4234  Prediction Error = 2.0208 
 Percent = 8.04  Prediction Error = 2.0208 
 Percent = 8.04  Prediction Error = 1.9737 
 Percent = 8.3332  Prediction Error = 1.9737 
 Percent = 8.3332  Prediction Error = 1.9266 
 Percent = 8.6138  Prediction Error = 1.9266 
 Percent = 8.6138  Prediction Error = 1.8795 
 Percent = 8.8804  Prediction Error = 1.8795 
 Percent = 8.8804  Prediction Error = 1.8324 
 Percent = 9.1314  Prediction Error = 1.8324 
 Percent = 9.1314  Prediction Error = 1.7853 
 Percent = 9.3657  Prediction Error = 1.7853 
 Percent = 9.3657  Prediction Error = 1.7382 
 Percent = 9.5822  Prediction Error = 1.7382 
 Percent = 9.5822  Prediction Error = 1.6911 
 Percent = 9.7802  Prediction Error = 1.6911 
 Percent = 9.7802  Prediction Error = 1.644 
 Percent = 9.9592  Prediction Error = 1.644 
 Percent = 9.9592  Prediction Error = 1.5969 
 Percent = 10.119  Prediction Error = 1.5969 
 Percent = 10.119  Prediction Error = 1.5499 
 Percent = 10.26  Prediction Error = 1.5499 
 Percent = 10.26  Prediction Error = 1.5028 
 Percent = 10.382  Prediction Error = 1.5028 
 Percent = 10.382  Prediction Error = 1.4557 
 Percent = 10.486  Prediction Error = 1.4557 
 Percent = 10.486  Prediction Error = 1.4086 
 Percent = 10.572  Prediction Error = 1.4086 
 Percent = 10.572  Prediction Error = 1.3615 
 Percent = 10.642  Prediction Error = 1.3615 
 Percent = 10.642  Prediction Error = 1.3144 
 Percent = 10.697  Prediction Error = 1.3144 
 Percent = 10.697  Prediction Error = 1.2673 
 Percent = 10.739  Prediction Error = 1.2673 
 Percent = 10.739  Prediction Error = 1.2202 
 Percent = 10.768  Prediction Error = 1.2202 
 Percent = 10.768  Prediction Error = 1.1731 
 Percent = 10.787  Prediction Error = 1.1731 
 Percent = 10.787  Prediction Error = 1.126 
 Percent = 10.797  Prediction Error = 1.126 
 Percent = 10.797  Prediction Error = 1.0789 
 Percent = 10.8  Prediction Error = 1.0789 
 Percent = 10.8  Prediction Error = 1.0319 
 Percent = 10.798  Prediction Error = 1.0319 
 Percent = 10.798  Prediction Error = 0.9848 
 Percent = 10.792  Prediction Error = 0.9848 
 Percent = 10.792  Prediction Error = 0.9377 
 Percent = 10.784  Prediction Error = 0.9377 
 Percent = 10.784  Prediction Error = 0.8906 
 Percent = 10.776  Prediction Error = 0.8906 
 Percent = 10.776  Prediction Error = 0.8435 
 Percent = 10.769  Prediction Error = 0.8435 
 Percent = 10.769  Prediction Error = 0.7964 
 Percent = 10.764  Prediction Error = 0.7964 
 Percent = 10.764  Prediction Error = 0.7493 
 Percent = 10.763  Prediction Error = 0.7493 
 Percent = 10.763  Prediction Error = 0.7022 
 Percent = 10.767  Prediction Error = 0.7022 
 Percent = 10.767  Prediction Error = 0.6551 
 Percent = 10.776  Prediction Error = 0.6551 
 Percent = 10.776  Prediction Error = 0.608 
 Percent = 10.791  Prediction Error = 0.608 
 Percent = 10.791  Prediction Error = 0.5609 
 Percent = 10.813  Prediction Error = 0.5609 
 Percent = 10.813  Prediction Error = 0.5138 
 Percent = 10.843  Prediction Error = 0.5138 
 Percent = 10.843  Prediction Error = 0.4668 
 Percent = 10.88  Prediction Error = 0.4668 
 Percent = 10.88  Prediction Error = 0.4197 
 Percent = 10.926  Prediction Error = 0.4197 
 Percent = 10.926  Prediction Error = 0.3726 
 Percent = 10.98  Prediction Error = 0.3726 
 Percent = 10.98  Prediction Error = 0.3255 
 Percent = 11.042  Prediction Error = 0.3255 
 Percent = 11.042  Prediction Error = 0.2784 
 Percent = 11.113  Prediction Error = 0.2784 
 Percent = 11.113  Prediction Error = 0.2313 
 Percent = 11.192  Prediction Error = 0.2313 
 Percent = 11.192  Prediction Error = 0.1842 
 Percent = 11.279  Prediction Error = 0.1842 
 Percent = 11.279  Prediction Error = 0.1371 
 Percent = 11.375  Prediction Error = 0.1371 
 Percent = 11.375  Prediction Error = 0.09 
 Percent = 11.478  Prediction Error = 0.09 
 Percent = 11.478  Prediction Error = 0.0429 
 Percent = 11.59  Prediction Error = 0.0429 
 Percent = 11.59  Prediction Error = -0.004 
 Percent = 11.708  Prediction Error = -0.004 
 Percent = 11.708  Prediction Error = -0.051 
 Percent = 11.834  Prediction Error = -0.051 
 Percent = 11.834  Prediction Error = -0.098 
 Percent = 11.966  Prediction Error = -0.098 
 Percent = 11.966  Prediction Error = -0.145 
 Percent = 12.104  Prediction Error = -0.145 
 Percent = 12.104  Prediction Error = -0.193 
 Percent = 12.248  Prediction Error = -0.193 
 Percent = 12.248  Prediction Error = -0.24 
 Percent = 12.397  Prediction Error = -0.24 
 Percent = 12.397  Prediction Error = -0.522 
 Percent = 13.346  Prediction Error = -0.522 
 Percent = 13.346  Prediction Error = -0.616 
 Percent = 13.656  Prediction Error = -0.616 
 Percent = 13.656  Prediction Error = -0.663 
 Percent = 13.804  Prediction Error = -0.663 
 Percent = 13.804  Prediction Error = -0.711 
 Percent = 13.945  Prediction Error = -0.711 
 Percent = 13.945  Prediction Error = -0.758 
 Percent = 14.076  Prediction Error = -0.758 
 Percent = 14.076  Prediction Error = -0.805 
 Percent = 14.197  Prediction Error = -0.805 
 Percent = 14.197  Prediction Error = -0.852 
 Percent = 14.304  Prediction Error = -0.852 
 Percent = 14.304  Prediction Error = -0.899 
 Percent = 14.397  Prediction Error = -0.899 
 Percent = 14.397  Prediction Error = -0.946 
 Percent = 14.473  Prediction Error = -0.946 
 Percent = 14.473  Prediction Error = -0.993 
 Percent = 14.531  Prediction Error = -0.993 
 Percent = 14.531  Prediction Error = -1.04 
 Percent = 14.568  Prediction Error = -1.04 
 Percent = 14.568  Prediction Error = -1.087 
 Percent = 14.583  Prediction Error = -1.087 
 Percent = 14.583  Prediction Error = -1.134 
 Percent = 14.575  Prediction Error = -1.134 
 Percent = 14.575  Prediction Error = -1.181 
 Percent = 14.541  Prediction Error = -1.181 
 Percent = 14.541  Prediction Error = -1.229 
 Percent = 14.482  Prediction Error = -1.229 
 Percent = 14.482  Prediction Error = -1.276 
 Percent = 14.395  Prediction Error = -1.276 
 Percent = 14.395  Prediction Error = -1.323 
 Percent = 14.281  Prediction Error = -1.323 
 Percent = 14.281  Prediction Error = -1.37 
 Percent = 14.138  Prediction Error = -1.37 
 Percent = 14.138  Prediction Error = -1.417 
 Percent = 13.967  Prediction Error = -1.417 
 Percent = 13.967  Prediction Error = -1.464 
 Percent = 13.768  Prediction Error = -1.464 
 Percent = 13.768  Prediction Error = -1.511 
 Percent = 13.541  Prediction Error = -1.511 
 Percent = 13.541  Prediction Error = -1.558 
 Percent = 13.287  Prediction Error = -1.558 
 Percent = 13.287  Prediction Error = -1.605 
 Percent = 13.007  Prediction Error = -1.605 
 Percent = 13.007  Prediction Error = -1.652 
 Percent = 12.703  Prediction Error = -1.652 
 Percent = 12.703  Prediction Error = -1.699 
 Percent = 12.375  Prediction Error = -1.699 
 Percent = 12.375  Prediction Error = -1.747 
 Percent = 12.027  Prediction Error = -1.747 
 Percent = 12.027  Prediction Error = -1.794 
 Percent = 11.659  Prediction Error = -1.794 
 Percent = 11.659  Prediction Error = -1.841 
 Percent = 11.274  Prediction Error = -1.841 
 Percent = 11.274  Prediction Error = -1.935 
 Percent = 10.462  Prediction Error = -1.935 
 Percent = 10.462  Prediction Error = -2.17 
 Percent = 8.3085  Prediction Error = -2.17 
 Percent = 8.3085  Prediction Error = -2.312 
 Percent = 7.028  Prediction Error = -2.312 
 Percent = 7.028  Prediction Error = -2.406 
 Percent = 6.2142  Prediction Error = -2.406 
 Percent = 6.2142  Prediction Error = -2.453 
 Percent = 5.8243  Prediction Error = -2.453 
 Percent = 5.8243  Prediction Error = -2.5 
 Percent = 5.4473  Prediction Error = -2.5 
 Percent = 5.4473  Prediction Error = -2.547 
 Percent = 5.0843  Prediction Error = -2.547 
 Percent = 5.0843  Prediction Error = -2.594 
 Percent = 4.736  Prediction Error = -2.594 
 Percent = 4.736  Prediction Error = -2.641 
 Percent = 4.4031  Prediction Error = -2.641 
 Percent = 4.4031  Prediction Error = -2.688 
 Percent = 4.0859  Prediction Error = -2.688 
 Percent = 4.0859  Prediction Error = -2.735 
 Percent = 3.7847  Prediction Error = -2.735 
 Percent = 3.7847  Prediction Error = -2.783 
 Percent = 3.4996  Prediction Error = -2.783 
 Percent = 3.4996  Prediction Error = -2.83 
 Percent = 3.2304  Prediction Error = -2.83 
 Percent = 3.2304  Prediction Error = -2.877 
 Percent = 2.9769  Prediction Error = -2.877 
 Percent = 2.9769  Prediction Error = -2.924 
 Percent = 2.7388  Prediction Error = -2.924 
 Percent = 2.7388  Prediction Error = -2.971 
 Percent = 2.5157  Prediction Error = -2.971 
 Percent = 2.5157  Prediction Error = -3.018 
 Percent = 2.3071  Prediction Error = -3.018 
 Percent = 2.3071  Prediction Error = -3.065 
 Percent = 2.1123  Prediction Error = -3.065 
 Percent = 2.1123  Prediction Error = -3.112 
 Percent = 1.9309  Prediction Error = -3.112 
 Percent = 1.9309  Prediction Error = -3.159 
 Percent = 1.7622  Prediction Error = -3.159 
 Percent = 1.7622  Prediction Error = -3.206 
 Percent = 1.6055  Prediction Error = -3.206 
 Percent = 1.6055  Prediction Error = -3.253 
 Percent = 1.4602  Prediction Error = -3.253 
 Percent = 1.4602  Prediction Error = -3.301 
 Percent = 1.3257  Prediction Error = -3.301 
 Percent = 1.3257  Prediction Error = -3.348 
 Percent = 1.2014  Prediction Error = -3.348 
 Percent = 1.2014  Prediction Error = -3.395 
 Percent = 1.0866  Prediction Error = -3.395 
 Percent = 1.0866  Prediction Error = -3.442 
 Percent = 0.9808  Prediction Error = -3.442 
 Percent = 0.9808  Prediction Error = -3.489 
 Percent = 0.8834  Prediction Error = -3.489 
 Percent = 0.8834  Prediction Error = -3.536 
 Percent = 0.7939  Prediction Error = -3.536 
 Percent = 0.7939  Prediction Error = -3.583 
 Percent = 0.7118  Prediction Error = -3.583 
 Percent = 0.7118  Prediction Error = -3.63 
 Percent = 0.6366  Prediction Error = -3.63 
 Percent = 0.6366  Prediction Error = -3.677 
 Percent = 0.5679  Prediction Error = -3.677 
 Percent = 0.5679  Prediction Error = -3.724 
 Percent = 0.5052  Prediction Error = -3.724 
 Percent = 0.5052  Prediction Error = -3.771 
 Percent = 0.4481  Prediction Error = -3.771 
 Percent = 0.4481  Prediction Error = -3.819 
 Percent = 0.3964  Prediction Error = -3.819 
 Percent = 0.3964  Prediction Error = -3.866 
 Percent = 0.3495  Prediction Error = -3.866 
 Percent = 0.3495  Prediction Error = -3.913 
 Percent = 0.3072  Prediction Error = -3.913 
 Percent = 0.3072  Prediction Error = -3.96 
 Percent = 0.2691  Prediction Error = -3.96 
 Percent = 0.2691  Prediction Error = -4.007 
 Percent = 0.2349  Prediction Error = -4.007 
 Percent = 0.2349  Prediction Error = -4.054 
 Percent = 0.2044  Prediction Error = -4.054 
 Percent = 0.2044  Prediction Error = -4.101 
 Percent = 0.1771  Prediction Error = -4.101 
 Percent = 0.1771  Prediction Error = -4.148 
 Percent = 0.1529  Prediction Error = -4.148 
 Percent = 0.1529  Prediction Error = -4.195 
 Percent = 0.1316  Prediction Error = -4.195 
 Percent = 0.1316  Prediction Error = -4.242 
 Percent = 0.1127  Prediction Error = -4.242 
 Percent = 0.1127  Prediction Error = -4.289 
 Percent = 0.0962  Prediction Error = -4.289 
 Percent = 0.0962  Prediction Error = -4.337 
 Percent = 0.0817  Prediction Error = -4.337 
 Percent = 0.0817  Prediction Error = -4.384 
 Percent = 0.0692  Prediction Error = -4.384 
 Percent = 0.0692  Prediction Error = -4.431 
 Percent = 0.0583  Prediction Error = -4.431 
 Percent = 0.0583  Prediction Error = -4.478 
 Percent = 0.0489  Prediction Error = -4.478 
 Percent = 0.0489  Prediction Error = -4.525 
 Percent = 0.0409  Prediction Error = -4.525 
 Percent = 0.0409  Prediction Error = -4.572 
 Percent = 0.034  Prediction Error = -4.572 
 Percent = 0.034  Prediction Error = -4.619 
 Percent = 0.0281  Prediction Error = -4.619 
 Percent = 0.0281  Prediction Error = -4.666 
 Percent = 0.0232  Prediction Error = 4.0889 
 Percent = 0.1888  Prediction Error = 4.0462 
 Percent = 0.2066  Prediction Error = 4.0462 
 Percent = 0.2066  Prediction Error = 4.0035 
 Percent = 0.226  Prediction Error = 4.0035 
 Percent = 0.226  Prediction Error = 3.9608 
 Percent = 0.2469  Prediction Error = 3.9608 
 Percent = 0.2469  Prediction Error = 3.9181 
 Percent = 0.2696  Prediction Error = 3.9181 
 Percent = 0.2696  Prediction Error = 3.8754 
 Percent = 0.294  Prediction Error = 3.8754 
 Percent = 0.294  Prediction Error = 3.8327 
 Percent = 0.3204  Prediction Error = 3.8327 
 Percent = 0.3204  Prediction Error = 3.7901 
 Percent = 0.3488  Prediction Error = 3.7901 
 Percent = 0.3488  Prediction Error = 3.7474 
 Percent = 0.3793  Prediction Error = 3.7474 
 Percent = 0.3793  Prediction Error = 3.7047 
 Percent = 0.4122  Prediction Error = 3.7047 
 Percent = 0.4122  Prediction Error = 3.662 
 Percent = 0.4475  Prediction Error = 3.662 
 Percent = 0.4475  Prediction Error = 3.6193 
 Percent = 0.4854  Prediction Error = 3.6193 
 Percent = 0.4854  Prediction Error = 3.5766 
 Percent = 0.526  Prediction Error = 3.5766 
 Percent = 0.526  Prediction Error = 3.5339 
 Percent = 0.5695  Prediction Error = 3.5339 
 Percent = 0.5695  Prediction Error = 3.4913 
 Percent = 0.616  Prediction Error = 3.4913 
 Percent = 0.616  Prediction Error = 3.4486 
 Percent = 0.6657  Prediction Error = 3.4486 
 Percent = 0.6657  Prediction Error = 3.4059 
 Percent = 0.7188  Prediction Error = 3.4059 
 Percent = 0.7188  Prediction Error = 3.3632 
 Percent = 0.7753  Prediction Error = 3.3632 
 Percent = 0.7753  Prediction Error = 3.3205 
 Percent = 0.8356  Prediction Error = 3.3205 
 Percent = 0.8356  Prediction Error = 3.2778 
 Percent = 0.8997  Prediction Error = 3.2778 
 Percent = 0.8997  Prediction Error = 3.2351 
 Percent = 0.9678  Prediction Error = 3.2351 
 Percent = 0.9678  Prediction Error = 3.1924 
 Percent = 1.0402  Prediction Error = 3.1924 
 Percent = 1.0402  Prediction Error = 3.1498 
 Percent = 1.1169  Prediction Error = 3.1498 
 Percent = 1.1169  Prediction Error = 3.1071 
 Percent = 1.1982  Prediction Error = 3.1071 
 Percent = 1.1982  Prediction Error = 3.0644 
 Percent = 1.2842  Prediction Error = 3.0644 
 Percent = 1.2842  Prediction Error = 3.0217 
 Percent = 1.3751  Prediction Error = 3.0217 
 Percent = 1.3751  Prediction Error = 2.979 
 Percent = 1.4711  Prediction Error = 2.979 
 Percent = 1.4711  Prediction Error = 2.9363 
 Percent = 1.5724  Prediction Error = 2.9363 
 Percent = 1.5724  Prediction Error = 2.8936 
 Percent = 1.6791  Prediction Error = 2.8936 
 Percent = 1.6791  Prediction Error = 2.851 
 Percent = 1.7914  Prediction Error = 2.851 
 Percent = 1.7914  Prediction Error = 2.8083 
 Percent = 1.9095  Prediction Error = 2.8083 
 Percent = 1.9095  Prediction Error = 2.7656 
 Percent = 2.0334  Prediction Error = 2.7656 
 Percent = 2.0334  Prediction Error = 2.7229 
 Percent = 2.1635  Prediction Error = 2.7229 
 Percent = 2.1635  Prediction Error = 2.6802 
 Percent = 2.2997  Prediction Error = 2.6802 
 Percent = 2.2997  Prediction Error = 2.6375 
 Percent = 2.4423  Prediction Error = 2.6375 
 Percent = 2.4423  Prediction Error = 2.5948 
 Percent = 2.5913  Prediction Error = 2.5948 
 Percent = 2.5913  Prediction Error = 2.5522 
 Percent = 2.7469  Prediction Error = 2.5522 
 Percent = 2.7469  Prediction Error = 2.5095 
 Percent = 2.9091  Prediction Error = 2.5095 
 Percent = 2.9091  Prediction Error = 2.4668 
 Percent = 3.0782  Prediction Error = 2.4668 
 Percent = 3.0782  Prediction Error = 2.4241 
 Percent = 3.254  Prediction Error = 2.4241 
 Percent = 3.254  Prediction Error = 2.3814 
 Percent = 3.4367  Prediction Error = 2.3814 
 Percent = 3.4367  Prediction Error = 2.3387 
 Percent = 3.6264  Prediction Error = 2.3387 
 Percent = 3.6264  Prediction Error = 2.296 
 Percent = 3.823  Prediction Error = 2.296 
 Percent = 3.823  Prediction Error = 2.2534 
 Percent = 4.0266  Prediction Error = 2.2534 
 Percent = 4.0266  Prediction Error = 2.2107 
 Percent = 4.2371  Prediction Error = 2.2107 
 Percent = 4.2371  Prediction Error = 2.168 
 Percent = 4.4546  Prediction Error = 2.168 
 Percent = 4.4546  Prediction Error = 2.0826 
 Percent = 4.91  Prediction Error = 2.0826 
 Percent = 4.91  Prediction Error = 1.9972 
 Percent = 5.3921  Prediction Error = 1.9972 
 Percent = 5.3921  Prediction Error = 1.9119 
 Percent = 5.8998  Prediction Error = 1.9119 
 Percent = 5.8998  Prediction Error = 1.8265 
 Percent = 6.4317  Prediction Error = 1.8265 
 Percent = 6.4317  Prediction Error = 1.7411 
 Percent = 6.9859  Prediction Error = 1.7411 
 Percent = 6.9859  Prediction Error = 1.1008 
 Percent = 11.55  Prediction Error = 1.1008 
 Percent = 11.55  Prediction Error = 0.9728 
 Percent = 12.458  Prediction Error = 0.9728 
 Percent = 12.458  Prediction Error = 0.8874 
 Percent = 13.044  Prediction Error = 0.8874 
 Percent = 13.044  Prediction Error = 0.802 
 Percent = 13.607  Prediction Error = 0.802 
 Percent = 13.607  Prediction Error = 0.7166 
 Percent = 14.142  Prediction Error = 0.7166 
 Percent = 14.142  Prediction Error = 0.674 
 Percent = 14.397  Prediction Error = 0.674 
 Percent = 14.397  Prediction Error = 0.6313 
 Percent = 14.644  Prediction Error = 0.6313 
 Percent = 14.644  Prediction Error = 0.5886 
 Percent = 14.881  Prediction Error = 0.5886 
 Percent = 14.881  Prediction Error = 0.5459 
 Percent = 15.108  Prediction Error = 0.5459 
 Percent = 15.108  Prediction Error = 0.5032 
 Percent = 15.325  Prediction Error = 0.5032 
 Percent = 15.325  Prediction Error = 0.4605 
 Percent = 15.53  Prediction Error = 0.4605 
 Percent = 15.53  Prediction Error = 0.4178 
 Percent = 15.724  Prediction Error = 0.4178 
 Percent = 15.724  Prediction Error = 0.3752 
 Percent = 15.905  Prediction Error = 0.3752 
 Percent = 15.905  Prediction Error = 0.3325 
 Percent = 16.074  Prediction Error = 0.3325 
 Percent = 16.074  Prediction Error = 0.2898 
 Percent = 16.23  Prediction Error = 0.2898 
 Percent = 16.23  Prediction Error = 0.2471 
 Percent = 16.372  Prediction Error = 0.2471 
 Percent = 16.372  Prediction Error = 0.2044 
 Percent = 16.501  Prediction Error = 0.2044 
 Percent = 16.501  Prediction Error = 0.1617 
 Percent = 16.615  Prediction Error = 0.1617 
 Percent = 16.615  Prediction Error = 0.119 
 Percent = 16.714  Prediction Error = 0.119 
 Percent = 16.714  Prediction Error = 0.0764 
 Percent = 16.799  Prediction Error = 0.0764 
 Percent = 16.799  Prediction Error = 0.0337 
 Percent = 16.868  Prediction Error = 0.0337 
 Percent = 16.868  Prediction Error = -0.009 
 Percent = 16.923  Prediction Error = -0.009 
 Percent = 16.923  Prediction Error = -0.052 
 Percent = 16.961  Prediction Error = -0.052 
 Percent = 16.961  Prediction Error = -0.094 
 Percent = 16.985  Prediction Error = -0.094 
 Percent = 16.985  Prediction Error = -0.137 
 Percent = 16.993  Prediction Error = -0.137 
 Percent = 16.993  Prediction Error = -0.18 
 Percent = 16.985  Prediction Error = -0.18 
 Percent = 16.985  Prediction Error = -0.222 
 Percent = 16.961  Prediction Error = -0.222 
 Percent = 16.961  Prediction Error = -0.265 
 Percent = 16.923  Prediction Error = -0.265 
 Percent = 16.923  Prediction Error = -0.308 
 Percent = 16.868  Prediction Error = -0.308 
 Percent = 16.868  Prediction Error = -0.351 
 Percent = 16.799  Prediction Error = -0.351 
 Percent = 16.799  Prediction Error = -0.393 
 Percent = 16.714  Prediction Error = -0.393 
 Percent = 16.714  Prediction Error = -0.436 
 Percent = 16.615  Prediction Error = -0.436 
 Percent = 16.615  Prediction Error = -0.479 
 Percent = 16.501  Prediction Error = -0.479 
 Percent = 16.501  Prediction Error = -0.521 
 Percent = 16.372  Prediction Error = -0.521 
 Percent = 16.372  Prediction Error = -0.564 
 Percent = 16.23  Prediction Error = -0.564 
 Percent = 16.23  Prediction Error = -0.607 
 Percent = 16.074  Prediction Error = -0.607 
 Percent = 16.074  Prediction Error = -0.649 
 Percent = 15.905  Prediction Error = -0.649 
 Percent = 15.905  Prediction Error = -0.692 
 Percent = 15.724  Prediction Error = -0.692 
 Percent = 15.724  Prediction Error = -0.735 
 Percent = 15.53  Prediction Error = -0.735 
 Percent = 15.53  Prediction Error = -0.777 
 Percent = 15.325  Prediction Error = -0.777 
 Percent = 15.325  Prediction Error = -0.82 
 Percent = 15.108  Prediction Error = -0.82 
 Percent = 15.108  Prediction Error = -0.863 
 Percent = 14.881  Prediction Error = -0.863 
 Percent = 14.881  Prediction Error = -0.905 
 Percent = 14.644  Prediction Error = -0.905 
 Percent = 14.644  Prediction Error = -0.948 
 Percent = 14.397  Prediction Error = -0.948 
 Percent = 14.397  Prediction Error = -0.991 
 Percent = 14.142  Prediction Error = -0.991 
 Percent = 14.142  Prediction Error = -1.076 
 Percent = 13.607  Prediction Error = -1.076 
 Percent = 13.607  Prediction Error = -1.162 
 Percent = 13.044  Prediction Error = -1.162 
 Percent = 13.044  Prediction Error = -1.674 
 Percent = 9.3721  Prediction Error = -1.674 
 Percent = 9.3721  Prediction Error = -1.845 
 Percent = 8.1511  Prediction Error = -1.845 
 Percent = 8.1511  Prediction Error = -1.973 
 Percent = 7.2706  Prediction Error = -1.973 
 Percent = 7.2706  Prediction Error = -2.058 
 Percent = 6.7061  Prediction Error = -2.058 
 Percent = 6.7061  Prediction Error = -2.143 
 Percent = 6.1629  Prediction Error = -2.143 
 Percent = 6.1629  Prediction Error = -2.229 
 Percent = 5.6429  Prediction Error = -2.229 
 Percent = 5.6429  Prediction Error = -2.314 
 Percent = 5.1478  Prediction Error = -2.314 
 Percent = 5.1478  Prediction Error = -2.399 
 Percent = 4.6789  Prediction Error = -2.399 
 Percent = 4.6789  Prediction Error = -2.442 
 Percent = 4.4546  Prediction Error = -2.442 
 Percent = 4.4546  Prediction Error = -2.485 
 Percent = 4.2371  Prediction Error = -2.485 
 Percent = 4.2371  Prediction Error = -2.528 
 Percent = 4.0266  Prediction Error = -2.528 
 Percent = 4.0266  Prediction Error = -2.57 
 Percent = 3.823  Prediction Error = -2.57 
 Percent = 3.823  Prediction Error = -2.613 
 Percent = 3.6264  Prediction Error = -2.613 
 Percent = 3.6264  Prediction Error = -2.656 
 Percent = 3.4367  Prediction Error = -2.656 
 Percent = 3.4367  Prediction Error = -2.698 
 Percent = 3.254  Prediction Error = -2.698 
 Percent = 3.254  Prediction Error = -2.741 
 Percent = 3.0782  Prediction Error = -2.741 
 Percent = 3.0782  Prediction Error = -2.784 
 Percent = 2.9091  Prediction Error = -2.784 
 Percent = 2.9091  Prediction Error = -2.826 
 Percent = 2.7469  Prediction Error = -2.826 
 Percent = 2.7469  Prediction Error = -2.869 
 Percent = 2.5913  Prediction Error = -2.869 
 Percent = 2.5913  Prediction Error = -2.912 
 Percent = 2.4423  Prediction Error = -2.912 
 Percent = 2.4423  Prediction Error = -2.954 
 Percent = 2.2997  Prediction Error = -2.954 
 Percent = 2.2997  Prediction Error = -2.997 
 Percent = 2.1635  Prediction Error = -2.997 
 Percent = 2.1635  Prediction Error = -3.04 
 Percent = 2.0334  Prediction Error = -3.04 
 Percent = 2.0334  Prediction Error = -3.082 
 Percent = 1.9095  Prediction Error = -3.082 
 Percent = 1.9095  Prediction Error = -3.125 
 Percent = 1.7914  Prediction Error = -3.125 
 Percent = 1.7914  Prediction Error = -3.168 
 Percent = 1.6791  Prediction Error = -3.168 
 Percent = 1.6791  Prediction Error = -3.21 
 Percent = 1.5724  Prediction Error = -3.21 
 Percent = 1.5724  Prediction Error = -3.253 
 Percent = 1.4711  Prediction Error = -3.253 
 Percent = 1.4711  Prediction Error = -3.296 
 Percent = 1.3751  Prediction Error = -3.296 
 Percent = 1.3751  Prediction Error = -3.339 
 Percent = 1.2842  Prediction Error = -3.339 
 Percent = 1.2842  Prediction Error = -3.381 
 Percent = 1.1982  Prediction Error = -3.381 
 Percent = 1.1982  Prediction Error = -3.424 
 Percent = 1.1169  Prediction Error = -3.424 
 Percent = 1.1169  Prediction Error = -3.467 
 Percent = 1.0402  Prediction Error = -3.467 
 Percent = 1.0402  Prediction Error = -3.509 
 Percent = 0.9678  Prediction Error = -3.509 
 Percent = 0.9678  Prediction Error = -3.552 
 Percent = 0.8997  Prediction Error = -3.552 
 Percent = 0.8997  Prediction Error = -3.595 
 Percent = 0.8356  Prediction Error = -3.595 
 Percent = 0.8356  Prediction Error = -3.637 
 Percent = 0.7753  Prediction Error = -3.637 
 Percent = 0.7753  Prediction Error = -3.68 
 Percent = 0.7188  Prediction Error = -3.68 
 Percent = 0.7188  Prediction Error = -3.723 
 Percent = 0.6657  Prediction Error = -3.723 
 Percent = 0.6657  Prediction Error = -3.765 
 Percent = 0.616  Prediction Error = -3.765 
 Percent = 0.616  Prediction Error = -3.808 
 Percent = 0.5695  Prediction Error = -3.808 
 Percent = 0.5695  Prediction Error = -3.851 
 Percent = 0.526  Prediction Error = -3.851 
 Percent = 0.526  Prediction Error = -3.893 
 Percent = 0.4854  Prediction Error = -3.893 
 Percent = 0.4854  Prediction Error = -3.936 
 Percent = 0.4475  Prediction Error = -3.936 
 Percent = 0.4475  Prediction Error = -3.979 
 Percent = 0.4122  Prediction Error = -3.979 
 Percent = 0.4122  Prediction Error = -4.022 
 Percent = 0.3793  Prediction Error = -4.022 
 Percent = 0.3793  Prediction Error = -4.064 
 Percent = 0.3488  Prediction Error = -4.064 
 Percent = 0.3488  Prediction Error = -4.107 
 Percent = 0.3204  Prediction Error = -4.107 
 Percent = 0.3204  Prediction Error = -4.15 
 Percent = 0.294  Prediction Error = -4.15 
 Percent = 0.294  Prediction Error = -4.192 
 Percent = 0.2696  Prediction Error = -4.192 
 Percent = 0.2696  Prediction Error = -4.235 
 Percent = 0.2469  Prediction Error = -4.235 
 Percent = 0.2469  Prediction Error = -4.278 
 Percent = 0.226  Prediction Error = -4.278 
 Percent = 0.226  Prediction Error = -4.32 
 Percent = 0.2066  Prediction Error = -4.32 
 Percent = 0.2066  Prediction Error = -4.363 
 Percent = 0.1888  Prediction Error = 3 
 Percent = 1.3393  Prediction Error = 3 
 Percent = 1.3393  Prediction Error = 2.4 
 Percent = 3.125  Prediction Error = 2.4 
 Percent = 3.125  Prediction Error = 1.8 
 Percent = 13.839  Prediction Error = 1.8 
 Percent = 13.839  Prediction Error = 1.2 
 Percent = 11.161  Prediction Error = 1.2 
 Percent = 11.161  Prediction Error = 0.6 
 Percent = 9.8214  Prediction Error = 0.6 
 Percent = 9.8214  Prediction Error = 0 
 Percent = 9.8214  Prediction Error = 0 
 Percent = 9.8214  Prediction Error = -0.6 
 Percent = 12.054  Prediction Error = -0.6 
 Percent = 12.054  Prediction Error = -1.2 
 Percent = 20.089  Prediction Error = -1.2 
 Percent = 20.089  Prediction Error = -1.8 
 Percent = 13.393  Prediction Error = -1.8 
 Percent = 13.393  Prediction Error = -2.4 
 Percent = 4.0179  Prediction Error = -2.4 
 Percent = 4.0179  Prediction Error = -3 
 Percent = 1.3393  Prediction Error = -3 
 Percent = 1.3393  Quantile = 2.7718 
 Residual = 3.0097  Quantile = 2.4448 
 Residual = 2.9991  Quantile = 2.2667 
 Residual = 2.767  Quantile = 2.1403 
 Residual = 2.5067  Quantile = 2.041 
 Residual = 2.5024  Quantile = 1.9585 
 Residual = 2.2831  Quantile = 1.8876 
 Residual = 2.2405  Quantile = 1.825 
 Residual = 2.2046  Quantile = 1.7688 
 Residual = 2.1616  Quantile = 1.7178 
 Residual = 2.1409  Quantile = 1.6708 
 Residual = 2.0624  Quantile = 1.6273 
 Residual = 2.0088  Quantile = 1.5866 
 Residual = 1.9597  Quantile = 1.5484 
 Residual = 1.9583  Quantile = 1.5124 
 Residual = 1.9392  Quantile = 1.4782 
 Residual = 1.9229  Quantile = 1.4457 
 Residual = 1.9213  Quantile = 1.4146 
 Residual = 1.9203  Quantile = 1.3848 
 Residual = 1.9016  Quantile = 1.3562 
 Residual = 1.8699  Quantile = 1.3287 
 Residual = 1.807  Quantile = 1.3022 
 Residual = 1.8055  Quantile = 1.2765 
 Residual = 1.7951  Quantile = 1.2516 
 Residual = 1.7937  Quantile = 1.2275 
 Residual = 1.7506  Quantile = 1.2041 
 Residual = 1.7326  Quantile = 1.1814 
 Residual = 1.7185  Quantile = 1.1592 
 Residual = 1.7154  Quantile = 1.1376 
 Residual = 1.7025  Quantile = 1.1165 
 Residual = 1.6775  Quantile = 1.0959 
 Residual = 1.6139  Quantile = 1.0757 
 Residual = 1.611  Quantile = 1.056 
 Residual = 1.5925  Quantile = 1.0367 
 Residual = 1.582  Quantile = 1.0177 
 Residual = 1.5578  Quantile = 0.9991 
 Residual = 1.5558  Quantile = 0.9809 
 Residual = 1.5549  Quantile = 0.963 
 Residual = 1.5219  Quantile = 0.9453 
 Residual = 1.514  Quantile = 0.928 
 Residual = 1.5049  Quantile = 0.911 
 Residual = 1.5036  Quantile = 0.8942 
 Residual = 1.4829  Quantile = 0.8776 
 Residual = 1.4677  Quantile = 0.8613 
 Residual = 1.448  Quantile = 0.8452 
 Residual = 1.4237  Quantile = 0.8293 
 Residual = 1.4187  Quantile = 0.8137 
 Residual = 1.4181  Quantile = 0.7982 
 Residual = 1.4153  Quantile = 0.7829 
 Residual = 1.3946  Quantile = 0.7678 
 Residual = 1.3843  Quantile = 0.7529 
 Residual = 1.2918  Quantile = 0.7381 
 Residual = 1.291  Quantile = 0.7235 
 Residual = 1.2442  Quantile = 0.7091 
 Residual = 1.2068  Quantile = 0.6948 
 Residual = 1.2009  Quantile = 0.6806 
 Residual = 1.144  Quantile = 0.6666 
 Residual = 1.0669  Quantile = 0.6527 
 Residual = 1.0594  Quantile = 0.639 
 Residual = 1.0557  Quantile = 0.6253 
 Residual = 1.0446  Quantile = 0.6118 
 Residual = 1.0276  Quantile = 0.5983 
 Residual = 1.0218  Quantile = 0.585 
 Residual = 1.0125  Quantile = 0.5718 
 Residual = 1.0018  Quantile = 0.5587 
 Residual = 1  Quantile = 0.5457 
 Residual = 0.9044  Quantile = 0.5328 
 Residual = 0.814  Quantile = 0.5199 
 Residual = 0.7762  Quantile = 0.5072 
 Residual = 0.7344  Quantile = 0.4945 
 Residual = 0.6976  Quantile = 0.4819 
 Residual = 0.6834  Quantile = 0.4694 
 Residual = 0.6569  Quantile = 0.4569 
 Residual = 0.6256  Quantile = 0.4446 
 Residual = 0.5741  Quantile = 0.4323 
 Residual = 0.5616  Quantile = 0.42 
 Residual = 0.5527  Quantile = 0.4078 
 Residual = 0.5477  Quantile = 0.3957 
 Residual = 0.5435  Quantile = 0.3837 
 Residual = 0.4957  Quantile = 0.3717 
 Residual = 0.4836  Quantile = 0.3597 
 Residual = 0.4723  Quantile = 0.3478 
 Residual = 0.465  Quantile = 0.336 
 Residual = 0.4156  Quantile = 0.3242 
 Residual = 0.3416  Quantile = 0.3124 
 Residual = 0.335  Quantile = 0.3007 
 Residual = 0.332  Quantile = 0.289 
 Residual = 0.3192  Quantile = 0.2774 
 Residual = 0.3103  Quantile = 0.2658 
 Residual = 0.2881  Quantile = 0.2542 
 Residual = 0.2396  Quantile = 0.2427 
 Residual = 0.2365  Quantile = 0.2312 
 Residual = 0.0649  Quantile = 0.2197 
 Residual = 0.0618  Quantile = 0.2083 
 Residual = 0.034  Quantile = 0.1969 
 Residual = 0.0097  Quantile = 0.1855 
 Residual = 0.0075  Quantile = 0.1741 
 Residual = 0.0059  Quantile = 0.1628 
 Residual = 0.0038  Quantile = 0.1515 
 Residual = -.0009  Quantile = 0.1402 
 Residual = -0.002  Quantile = 0.1289 
 Residual = -0.003  Quantile = 0.1176 
 Residual = -0.012  Quantile = 0.1064 
 Residual = -0.022  Quantile = 0.0952 
 Residual = -0.032  Quantile = 0.0839 
 Residual = -0.13  Quantile = 0.0727 
 Residual = -0.136  Quantile = 0.0615 
 Residual = -0.152  Quantile = 0.0503 
 Residual = -0.187  Quantile = 0.0391 
 Residual = -0.204  Quantile = 0.0279 
 Residual = -0.225  Quantile = 0.0168 
 Residual = -0.303  Quantile = 0.0056 
 Residual = -0.311  Quantile = -0.006 
 Residual = -0.331  Quantile = -0.017 
 Residual = -0.333  Quantile = -0.028 
 Residual = -0.336  Quantile = -0.039 
 Residual = -0.413  Quantile = -0.05 
 Residual = -0.465  Quantile = -0.062 
 Residual = -0.474  Quantile = -0.073 
 Residual = -0.49  Quantile = -0.084 
 Residual = -0.5  Quantile = -0.095 
 Residual = -0.513  Quantile = -0.106 
 Residual = -0.553  Quantile = -0.118 
 Residual = -0.566  Quantile = -0.129 
 Residual = -0.586  Quantile = -0.14 
 Residual = -0.587  Quantile = -0.151 
 Residual = -0.594  Quantile = -0.163 
 Residual = -0.613  Quantile = -0.174 
 Residual = -0.614  Quantile = -0.185 
 Residual = -0.653  Quantile = -0.197 
 Residual = -0.678  Quantile = -0.208 
 Residual = -0.725  Quantile = -0.22 
 Residual = -0.759  Quantile = -0.231 
 Residual = -0.768  Quantile = -0.243 
 Residual = -0.792  Quantile = -0.254 
 Residual = -0.803  Quantile = -0.266 
 Residual = -0.831  Quantile = -0.277 
 Residual = -0.86  Quantile = -0.289 
 Residual = -0.905  Quantile = -0.301 
 Residual = -0.908  Quantile = -0.312 
 Residual = -0.922  Quantile = -0.324 
 Residual = -0.946  Quantile = -0.336 
 Residual = -0.951  Quantile = -0.348 
 Residual = -0.967  Quantile = -0.36 
 Residual = -0.979  Quantile = -0.372 
 Residual = -0.984  Quantile = -0.384 
 Residual = -0.985  Quantile = -0.396 
 Residual = -0.989  Quantile = -0.408 
 Residual = -0.997  Quantile = -0.42 
 Residual = -1  Quantile = -0.432 
 Residual = -1.001  Quantile = -0.445 
 Residual = -1.004  Quantile = -0.457 
 Residual = -1.021  Quantile = -0.469 
 Residual = -1.072  Quantile = -0.482 
 Residual = -1.092  Quantile = -0.494 
 Residual = -1.107  Quantile = -0.507 
 Residual = -1.133  Quantile = -0.52 
 Residual = -1.136  Quantile = -0.533 
 Residual = -1.176  Quantile = -0.546 
 Residual = -1.22  Quantile = -0.559 
 Residual = -1.22  Quantile = -0.572 
 Residual = -1.24  Quantile = -0.585 
 Residual = -1.248  Quantile = -0.598 
 Residual = -1.248  Quantile = -0.612 
 Residual = -1.259  Quantile = -0.625 
 Residual = -1.263  Quantile = -0.639 
 Residual = -1.312  Quantile = -0.653 
 Residual = -1.326  Quantile = -0.667 
 Residual = -1.332  Quantile = -0.681 
 Residual = -1.336  Quantile = -0.695 
 Residual = -1.353  Quantile = -0.709 
 Residual = -1.381  Quantile = -0.724 
 Residual = -1.397  Quantile = -0.738 
 Residual = -1.411  Quantile = -0.753 
 Residual = -1.418  Quantile = -0.768 
 Residual = -1.431  Quantile = -0.783 
 Residual = -1.439  Quantile = -0.798 
 Residual = -1.439  Quantile = -0.814 
 Residual = -1.464  Quantile = -0.829 
 Residual = -1.468  Quantile = -0.845 
 Residual = -1.48  Quantile = -0.861 
 Residual = -1.486  Quantile = -0.878 
 Residual = -1.494  Quantile = -0.894 
 Residual = -1.511  Quantile = -0.911 
 Residual = -1.53  Quantile = -0.928 
 Residual = -1.533  Quantile = -0.945 
 Residual = -1.558  Quantile = -0.963 
 Residual = -1.57  Quantile = -0.981 
 Residual = -1.571  Quantile = -0.999 
 Residual = -1.592  Quantile = -1.018 
 Residual = -1.615  Quantile = -1.037 
 Residual = -1.65  Quantile = -1.056 
 Residual = -1.662  Quantile = -1.076 
 Residual = -1.665  Quantile = -1.096 
 Residual = -1.682  Quantile = -1.116 
 Residual = -1.684  Quantile = -1.138 
 Residual = -1.692  Quantile = -1.159 
 Residual = -1.696  Quantile = -1.181 
 Residual = -1.699  Quantile = -1.204 
 Residual = -1.707  Quantile = -1.228 
 Residual = -1.714  Quantile = -1.252 
 Residual = -1.728  Quantile = -1.276 
 Residual = -1.762  Quantile = -1.302 
 Residual = -1.772  Quantile = -1.329 
 Residual = -1.843  Quantile = -1.356 
 Residual = -1.85  Quantile = -1.385 
 Residual = -1.988  Quantile = -1.415 
 Residual = -1.993  Quantile = -1.446 
 Residual = -1.996  Quantile = -1.478 
 Residual = -1.999  Quantile = -1.512 
 Residual = -2.003  Quantile = -1.548 
 Residual = -2.011  Quantile = -1.587 
 Residual = -2.021  Quantile = -1.627 
 Residual = -2.118  Quantile = -1.671 
 Residual = -2.123  Quantile = -1.718 
 Residual = -2.146  Quantile = -1.769 
 Residual = -2.216  Quantile = -1.825 
 Residual = -2.295  Quantile = -1.888 
 Residual = -2.301  Quantile = -1.959 
 Residual = -2.396  Quantile = -2.041 
 Residual = -2.64  Quantile = -2.14 
 Residual = -2.653  Quantile = -2.267 
 Residual = -3  Quantile = -2.445 
 Residual = -3.011  Quantile = -2.772 
 Residual = -3.018  Slope = 1.4086 
 Y = -0.137  Lag = 24 
 ACF = -0.003  Lag = 23 
 ACF = -0.06  Lag = 22 
 ACF = 0.0149  Lag = 21 
 ACF = -0.141  Lag = 20 
 ACF = 0.0739  Lag = 19 
 ACF = -0.13  Lag = 18 
 ACF = -0.065  Lag = 17 
 ACF = 0.1386  Lag = 16 
 ACF = 0.1786  Lag = 15 
 ACF = 0.0319  Lag = 14 
 ACF = -0.099  Lag = 13 
 ACF = 0.0106  Lag = 12 
 ACF = -0.072  Lag = 11 
 ACF = -0.123  Lag = 10 
 ACF = 0.0773  Lag = 9 
 ACF = -0.05  Lag = 8 
 ACF = -0.017  Lag = 7 
 ACF = 0.0544  Lag = 6 
 ACF = -0.007  Lag = 5 
 ACF = -0.126  Lag = 4 
 ACF = -0.081  Lag = 3 
 ACF = -0.174  Lag = 2 
 ACF = 0.0208  Lag = 1 
 ACF = 0.0859  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.159 
 Upper = 0.1587  Lag = 23 
 Lower = -0.158 
 Upper = 0.1583  Lag = 23 
 Lower = -0.158 
 Upper = 0.1583  Lag = 22 
 Lower = -0.158 
 Upper = 0.1583  Lag = 22 
 Lower = -0.158 
 Upper = 0.1583  Lag = 21 
 Lower = -0.156 
 Upper = 0.156  Lag = 21 
 Lower = -0.156 
 Upper = 0.156  Lag = 20 
 Lower = -0.155 
 Upper = 0.1554  Lag = 20 
 Lower = -0.155 
 Upper = 0.1554  Lag = 19 
 Lower = -0.153 
 Upper = 0.1534  Lag = 19 
 Lower = -0.153 
 Upper = 0.1534  Lag = 18 
 Lower = -0.153 
 Upper = 0.1529  Lag = 18 
 Lower = -0.153 
 Upper = 0.1529  Lag = 17 
 Lower = -0.151 
 Upper = 0.1506  Lag = 17 
 Lower = -0.151 
 Upper = 0.1506  Lag = 16 
 Lower = -0.147 
 Upper = 0.1468  Lag = 16 
 Lower = -0.147 
 Upper = 0.1468  Lag = 15 
 Lower = -0.147 
 Upper = 0.1467  Lag = 15 
 Lower = -0.147 
 Upper = 0.1467  Lag = 14 
 Lower = -0.146 
 Upper = 0.1455  Lag = 14 
 Lower = -0.146 
 Upper = 0.1455  Lag = 13 
 Lower = -0.145 
 Upper = 0.1455  Lag = 13 
 Lower = -0.145 
 Upper = 0.1455  Lag = 12 
 Lower = -0.145 
 Upper = 0.1449  Lag = 12 
 Lower = -0.145 
 Upper = 0.1449  Lag = 11 
 Lower = -0.143 
 Upper = 0.143  Lag = 11 
 Lower = -0.143 
 Upper = 0.143  Lag = 10 
 Lower = -0.142 
 Upper = 0.1422  Lag = 10 
 Lower = -0.142 
 Upper = 0.1422  Lag = 9 
 Lower = -0.142 
 Upper = 0.1419  Lag = 9 
 Lower = -0.142 
 Upper = 0.1419  Lag = 8 
 Lower = -0.142 
 Upper = 0.1419  Lag = 8 
 Lower = -0.142 
 Upper = 0.1419  Lag = 7 
 Lower = -0.142 
 Upper = 0.1415  Lag = 7 
 Lower = -0.142 
 Upper = 0.1415  Lag = 6 
 Lower = -0.142 
 Upper = 0.1415  Lag = 6 
 Lower = -0.142 
 Upper = 0.1415  Lag = 5 
 Lower = -0.139 
 Upper = 0.1395  Lag = 5 
 Lower = -0.139 
 Upper = 0.1395  Lag = 4 
 Lower = -0.139 
 Upper = 0.1386  Lag = 4 
 Lower = -0.139 
 Upper = 0.1386  Lag = 3 
 Lower = -0.135 
 Upper = 0.1347  Lag = 3 
 Lower = -0.135 
 Upper = 0.1347  Lag = 2 
 Lower = -0.135 
 Upper = 0.1346  Lag = 2 
 Lower = -0.135 
 Upper = 0.1346  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.02  Lag = 23 
 PACF = -0.104  Lag = 22 
 PACF = -0.01  Lag = 21 
 PACF = -0.117  Lag = 20 
 PACF = 0.1206  Lag = 19 
 PACF = -0.083  Lag = 18 
 PACF = -0.076  Lag = 17 
 PACF = 0.0154  Lag = 16 
 PACF = 0.1806  Lag = 15 
 PACF = 0.0381  Lag = 14 
 PACF = -0.177  Lag = 13 
 PACF = 0.0459  Lag = 12 
 PACF = -0.075  Lag = 11 
 PACF = -0.157  Lag = 10 
 PACF = 0.0935  Lag = 9 
 PACF = -0.068  Lag = 8 
 PACF = -0.072  Lag = 7 
 PACF = 0.0402  Lag = 6 
 PACF = -0.017  Lag = 5 
 PACF = -0.111  Lag = 4 
 PACF = -0.054  Lag = 3 
 PACF = -0.179  Lag = 2 
 PACF = 0.0135  Lag = 1 
 PACF = 0.0859  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Sep2019 
 Loess Fit = -0.232  Date_of_death = Jul2019 
 Loess Fit = -0.231  Date_of_death = Jul2019 
 Loess Fit = -0.231  Date_of_death = Jun2019 
 Loess Fit = -0.23  Date_of_death = Jun2019 
 Loess Fit = -0.23  Date_of_death = May2019 
 Loess Fit = -0.228  Date_of_death = May2019 
 Loess Fit = -0.228  Date_of_death = Apr2019 
 Loess Fit = -0.227  Date_of_death = Apr2019 
 Loess Fit = -0.227  Date_of_death = Mar2019 
 Loess Fit = -0.226  Date_of_death = Mar2019 
 Loess Fit = -0.226  Date_of_death = Feb2019 
 Loess Fit = -0.225  Date_of_death = Feb2019 
 Loess Fit = -0.225  Date_of_death = Jan2019 
 Loess Fit = -0.223  Date_of_death = Jan2019 
 Loess Fit = -0.223  Date_of_death = Dec2018 
 Loess Fit = -0.222  Date_of_death = Dec2018 
 Loess Fit = -0.222  Date_of_death = Oct2018 
 Loess Fit = -0.221  Date_of_death = Oct2018 
 Loess Fit = -0.221  Date_of_death = Sep2018 
 Loess Fit = -0.219  Date_of_death = Sep2018 
 Loess Fit = -0.219  Date_of_death = Aug2018 
 Loess Fit = -0.218  Date_of_death = Aug2018 
 Loess Fit = -0.218  Date_of_death = Jul2018 
 Loess Fit = -0.217  Date_of_death = Jul2018 
 Loess Fit = -0.217  Date_of_death = Jun2018 
 Loess Fit = -0.216  Date_of_death = Jun2018 
 Loess Fit = -0.216  Date_of_death = May2018 
 Loess Fit = -0.214  Date_of_death = May2018 
 Loess Fit = -0.214  Date_of_death = Apr2018 
 Loess Fit = -0.213  Date_of_death = Apr2018 
 Loess Fit = -0.213  Date_of_death = Mar2018 
 Loess Fit = -0.212  Date_of_death = Mar2018 
 Loess Fit = -0.212  Date_of_death = Feb2018 
 Loess Fit = -0.21  Date_of_death = Feb2018 
 Loess Fit = -0.21  Date_of_death = Dec2017 
 Loess Fit = -0.209  Date_of_death = Dec2017 
 Loess Fit = -0.209  Date_of_death = Nov2017 
 Loess Fit = -0.208  Date_of_death = Nov2017 
 Loess Fit = -0.208  Date_of_death = Oct2017 
 Loess Fit = -0.207  Date_of_death = Oct2017 
 Loess Fit = -0.207  Date_of_death = Sep2017 
 Loess Fit = -0.205  Date_of_death = Sep2017 
 Loess Fit = -0.205  Date_of_death = Aug2017 
 Loess Fit = -0.204  Date_of_death = Aug2017 
 Loess Fit = -0.204  Date_of_death = Jul2017 
 Loess Fit = -0.203  Date_of_death = Jul2017 
 Loess Fit = -0.203  Date_of_death = Jun2017 
 Loess Fit = -0.201  Date_of_death = Jun2017 
 Loess Fit = -0.201  Date_of_death = May2017 
 Loess Fit = -0.2  Date_of_death = May2017 
 Loess Fit = -0.2  Date_of_death = Apr2017 
 Loess Fit = -0.199  Date_of_death = Apr2017 
 Loess Fit = -0.199  Date_of_death = Feb2017 
 Loess Fit = -0.198  Date_of_death = Feb2017 
 Loess Fit = -0.198  Date_of_death = Jan2017 
 Loess Fit = -0.197  Date_of_death = Jan2017 
 Loess Fit = -0.197  Date_of_death = Dec2016 
 Loess Fit = -0.196  Date_of_death = Dec2016 
 Loess Fit = -0.196  Date_of_death = Nov2016 
 Loess Fit = -0.194  Date_of_death = Nov2016 
 Loess Fit = -0.194  Date_of_death = Oct2016 
 Loess Fit = -0.193  Date_of_death = Oct2016 
 Loess Fit = -0.193  Date_of_death = Sep2016 
 Loess Fit = -0.192  Date_of_death = Sep2016 
 Loess Fit = -0.192  Date_of_death = Aug2016 
 Loess Fit = -0.191  Date_of_death = Aug2016 
 Loess Fit = -0.191  Date_of_death = Jul2016 
 Loess Fit = -0.19  Date_of_death = Jul2016 
 Loess Fit = -0.19  Date_of_death = May2016 
 Loess Fit = -0.189  Date_of_death = May2016 
 Loess Fit = -0.189  Date_of_death = Apr2016 
 Loess Fit = -0.188  Date_of_death = Apr2016 
 Loess Fit = -0.188  Date_of_death = Mar2016 
 Loess Fit = -0.187  Date_of_death = Mar2016 
 Loess Fit = -0.187  Date_of_death = Feb2016 
 Loess Fit = -0.185  Date_of_death = Feb2016 
 Loess Fit = -0.185  Date_of_death = Jan2016 
 Loess Fit = -0.184  Date_of_death = Jan2016 
 Loess Fit = -0.184  Date_of_death = Dec2015 
 Loess Fit = -0.183  Date_of_death = Dec2015 
 Loess Fit = -0.183  Date_of_death = Nov2015 
 Loess Fit = -0.182  Date_of_death = Nov2015 
 Loess Fit = -0.182  Date_of_death = Oct2015 
 Loess Fit = -0.181  Date_of_death = Oct2015 
 Loess Fit = -0.181  Date_of_death = Sep2015 
 Loess Fit = -0.18  Date_of_death = Sep2015 
 Loess Fit = -0.18  Date_of_death = Jul2015 
 Loess Fit = -0.179  Date_of_death = Jul2015 
 Loess Fit = -0.179  Date_of_death = Jun2015 
 Loess Fit = -0.177  Date_of_death = Jun2015 
 Loess Fit = -0.177  Date_of_death = May2015 
 Loess Fit = -0.176  Date_of_death = May2015 
 Loess Fit = -0.176  Date_of_death = Apr2015 
 Loess Fit = -0.175  Date_of_death = Apr2015 
 Loess Fit = -0.175  Date_of_death = Mar2015 
 Loess Fit = -0.174  Date_of_death = Mar2015 
 Loess Fit = -0.174  Date_of_death = Feb2015 
 Loess Fit = -0.173  Date_of_death = Feb2015 
 Loess Fit = -0.173  Date_of_death = Jan2015 
 Loess Fit = -0.172  Date_of_death = Jan2015 
 Loess Fit = -0.172  Date_of_death = Dec2014 
 Loess Fit = -0.171  Date_of_death = Dec2014 
 Loess Fit = -0.171  Date_of_death = Nov2014 
 Loess Fit = -0.169  Date_of_death = Nov2014 
 Loess Fit = -0.169  Date_of_death = Sep2014 
 Loess Fit = -0.168  Date_of_death = Sep2014 
 Loess Fit = -0.168  Date_of_death = Aug2014 
 Loess Fit = -0.167  Date_of_death = Aug2014 
 Loess Fit = -0.167  Date_of_death = Jul2014 
 Loess Fit = -0.165  Date_of_death = Jul2014 
 Loess Fit = -0.165  Date_of_death = Jun2014 
 Loess Fit = -0.164  Date_of_death = Jun2014 
 Loess Fit = -0.164  Date_of_death = May2014 
 Loess Fit = -0.163  Date_of_death = May2014 
 Loess Fit = -0.163  Date_of_death = Apr2014 
 Loess Fit = -0.161  Date_of_death = Apr2014 
 Loess Fit = -0.161  Date_of_death = Mar2014 
 Loess Fit = -0.16  Date_of_death = Mar2014 
 Loess Fit = -0.16  Date_of_death = Feb2014 
 Loess Fit = -0.159  Date_of_death = Feb2014 
 Loess Fit = -0.159  Date_of_death = Dec2013 
 Loess Fit = -0.157  Date_of_death = Dec2013 
 Loess Fit = -0.157  Date_of_death = Nov2013 
 Loess Fit = -0.156  Date_of_death = Nov2013 
 Loess Fit = -0.156  Date_of_death = Oct2013 
 Loess Fit = -0.155  Date_of_death = Oct2013 
 Loess Fit = -0.155  Date_of_death = Sep2013 
 Loess Fit = -0.154  Date_of_death = Sep2013 
 Loess Fit = -0.154  Date_of_death = Aug2013 
 Loess Fit = -0.152  Date_of_death = Aug2013 
 Loess Fit = -0.152  Date_of_death = Jul2013 
 Loess Fit = -0.151  Date_of_death = Jul2013 
 Loess Fit = -0.151  Date_of_death = Jun2013 
 Loess Fit = -0.15  Date_of_death = Jun2013 
 Loess Fit = -0.15  Date_of_death = May2013 
 Loess Fit = -0.148  Date_of_death = May2013 
 Loess Fit = -0.148  Date_of_death = Apr2013 
 Loess Fit = -0.147  Date_of_death = Apr2013 
 Loess Fit = -0.147  Date_of_death = Feb2013 
 Loess Fit = -0.146  Date_of_death = Feb2013 
 Loess Fit = -0.146  Date_of_death = Jan2013 
 Loess Fit = -0.144  Date_of_death = Jan2013 
 Loess Fit = -0.144  Date_of_death = Dec2012 
 Loess Fit = -0.143  Date_of_death = Dec2012 
 Loess Fit = -0.143  Date_of_death = Nov2012 
 Loess Fit = -0.142  Date_of_death = Nov2012 
 Loess Fit = -0.142  Date_of_death = Oct2012 
 Loess Fit = -0.14  Date_of_death = Oct2012 
 Loess Fit = -0.14  Date_of_death = Sep2012 
 Loess Fit = -0.139  Date_of_death = Sep2012 
 Loess Fit = -0.139  Date_of_death = Aug2012 
 Loess Fit = -0.138  Date_of_death = Aug2012 
 Loess Fit = -0.138  Date_of_death = Jul2012 
 Loess Fit = -0.137  Date_of_death = Jul2012 
 Loess Fit = -0.137  Date_of_death = Jun2012 
 Loess Fit = -0.137  Date_of_death = Jun2012 
 Loess Fit = -0.137  Date_of_death = Apr2012 
 Loess Fit = -0.136  Date_of_death = Apr2012 
 Loess Fit = -0.136  Date_of_death = Mar2012 
 Loess Fit = -0.135  Date_of_death = Mar2012 
 Loess Fit = -0.135  Date_of_death = Feb2012 
 Loess Fit = -0.135  Date_of_death = Feb2012 
 Loess Fit = -0.135  Date_of_death = Jan2012 
 Loess Fit = -0.134  Date_of_death = Jan2012 
 Loess Fit = -0.134  Date_of_death = Dec2011 
 Loess Fit = -0.133  Date_of_death = Dec2011 
 Loess Fit = -0.133  Date_of_death = Nov2011 
 Loess Fit = -0.132  Date_of_death = Nov2011 
 Loess Fit = -0.132  Date_of_death = Oct2011 
 Loess Fit = -0.132  Date_of_death = Oct2011 
 Loess Fit = -0.132  Date_of_death = Sep2011 
 Loess Fit = -0.131  Date_of_death = Sep2011 
 Loess Fit = -0.131  Date_of_death = Aug2011 
 Loess Fit = -0.13  Date_of_death = Aug2011 
 Loess Fit = -0.13  Date_of_death = Jun2011 
 Loess Fit = -0.13  Date_of_death = Jun2011 
 Loess Fit = -0.13  Date_of_death = May2011 
 Loess Fit = -0.129  Date_of_death = May2011 
 Loess Fit = -0.129  Date_of_death = Apr2011 
 Loess Fit = -0.128  Date_of_death = Apr2011 
 Loess Fit = -0.128  Date_of_death = Mar2011 
 Loess Fit = -0.127  Date_of_death = Mar2011 
 Loess Fit = -0.127  Date_of_death = Feb2011 
 Loess Fit = -0.127  Date_of_death = Feb2011 
 Loess Fit = -0.127  Date_of_death = Jan2011 
 Loess Fit = -0.126  Date_of_death = Jan2011 
 Loess Fit = -0.126  Date_of_death = Dec2010 
 Loess Fit = -0.125  Date_of_death = Dec2010 
 Loess Fit = -0.125  Date_of_death = Nov2010 
 Loess Fit = -0.125  Date_of_death = Nov2010 
 Loess Fit = -0.125  Date_of_death = Sep2010 
 Loess Fit = -0.124  Date_of_death = Sep2010 
 Loess Fit = -0.124  Date_of_death = Aug2010 
 Loess Fit = -0.123  Date_of_death = Aug2010 
 Loess Fit = -0.123  Date_of_death = Jul2010 
 Loess Fit = -0.122  Date_of_death = Jul2010 
 Loess Fit = -0.122  Date_of_death = Jun2010 
 Loess Fit = -0.122  Date_of_death = Jun2010 
 Loess Fit = -0.122  Date_of_death = May2010 
 Loess Fit = -0.121  Date_of_death = May2010 
 Loess Fit = -0.121  Date_of_death = Apr2010 
 Loess Fit = -0.121  Date_of_death = Apr2010 
 Loess Fit = -0.121  Date_of_death = Mar2010 
 Loess Fit = -0.121  Date_of_death = Mar2010 
 Loess Fit = -0.121  Date_of_death = Feb2010 
 Loess Fit = -0.12  Date_of_death = Feb2010 
 Loess Fit = -0.12  Date_of_death = Jan2010 
 Loess Fit = -0.12  Date_of_death = Jan2010 
 Loess Fit = -0.12  Date_of_death = Nov2009 
 Loess Fit = -0.12  Date_of_death = Nov2009 
 Loess Fit = -0.12  Date_of_death = Oct2009 
 Loess Fit = -0.12  Date_of_death = Oct2009 
 Loess Fit = -0.12  Date_of_death = Sep2009 
 Loess Fit = -0.12  Date_of_death = Sep2009 
 Loess Fit = -0.12  Date_of_death = Aug2009 
 Loess Fit = -0.12  Date_of_death = Aug2009 
 Loess Fit = -0.12  Date_of_death = Jul2009 
 Loess Fit = -0.12  Date_of_death = Jul2009 
 Loess Fit = -0.12  Date_of_death = Jun2009 
 Loess Fit = -0.12  Date_of_death = Jun2009 
 Loess Fit = -0.12  Date_of_death = May2009 
 Loess Fit = -0.12  Date_of_death = May2009 
 Loess Fit = -0.12  Date_of_death = Apr2009 
 Loess Fit = -0.12  Date_of_death = Apr2009 
 Loess Fit = -0.12  Date_of_death = Mar2009 
 Loess Fit = -0.12  Date_of_death = Mar2009 
 Loess Fit = -0.12  Date_of_death = Jan2009 
 Loess Fit = -0.119  Date_of_death = Jan2009 
 Loess Fit = -0.119  Date_of_death = Dec2008 
 Loess Fit = -0.119  Date_of_death = Dec2008 
 Loess Fit = -0.119  Date_of_death = Nov2008 
 Loess Fit = -0.119  Date_of_death = Nov2008 
 Loess Fit = -0.119  Date_of_death = Oct2008 
 Loess Fit = -0.119  Date_of_death = Oct2008 
 Loess Fit = -0.119  Date_of_death = Sep2008 
 Loess Fit = -0.119  Date_of_death = Sep2008 
 Loess Fit = -0.119  Date_of_death = Aug2008 
 Loess Fit = -0.119  Date_of_death = Aug2008 
 Loess Fit = -0.119  Date_of_death = Jul2008 
 Loess Fit = -0.119  Date_of_death = Jul2008 
 Loess Fit = -0.119  Date_of_death = Jun2008 
 Loess Fit = -0.119  Date_of_death = Jun2008 
 Loess Fit = -0.119  Date_of_death = May2008 
 Loess Fit = -0.119  Date_of_death = May2008 
 Loess Fit = -0.119  Date_of_death = Mar2008 
 Loess Fit = -0.119  Date_of_death = Mar2008 
 Loess Fit = -0.119  Date_of_death = Feb2008 
 Loess Fit = -0.119  Date_of_death = Feb2008 
 Loess Fit = -0.119  Date_of_death = Jan2008 
 Loess Fit = -0.118  Date_of_death = Jan2008 
 Loess Fit = -0.118  Date_of_death = Dec2007 
 Loess Fit = -0.118  Date_of_death = Dec2007 
 Loess Fit = -0.118  Date_of_death = Nov2007 
 Loess Fit = -0.118  Date_of_death = Nov2007 
 Loess Fit = -0.118  Date_of_death = Oct2007 
 Loess Fit = -0.118  Date_of_death = Oct2007 
 Loess Fit = -0.118  Date_of_death = Sep2007 
 Loess Fit = -0.118  Date_of_death = Sep2007 
 Loess Fit = -0.118  Date_of_death = Aug2007 
 Loess Fit = -0.117  Date_of_death = Aug2007 
 Loess Fit = -0.117  Date_of_death = Jul2007 
 Loess Fit = -0.117  Date_of_death = Jul2007 
 Loess Fit = -0.117  Date_of_death = May2007 
 Loess Fit = -0.117  Date_of_death = May2007 
 Loess Fit = -0.117  Date_of_death = Apr2007 
 Loess Fit = -0.117  Date_of_death = Apr2007 
 Loess Fit = -0.117  Date_of_death = Mar2007 
 Loess Fit = -0.116  Date_of_death = Mar2007 
 Loess Fit = -0.116  Date_of_death = Feb2007 
 Loess Fit = -0.116  Date_of_death = Feb2007 
 Loess Fit = -0.116  Date_of_death = Jan2007 
 Loess Fit = -0.116  Date_of_death = Jan2007 
 Loess Fit = -0.116  Date_of_death = Dec2006 
 Loess Fit = -0.116  Date_of_death = Dec2006 
 Loess Fit = -0.116  Date_of_death = Nov2006 
 Loess Fit = -0.115  Date_of_death = Nov2006 
 Loess Fit = -0.115  Date_of_death = Oct2006 
 Loess Fit = -0.115  Date_of_death = Oct2006 
 Loess Fit = -0.115  Date_of_death = Aug2006 
 Loess Fit = -0.115  Date_of_death = Aug2006 
 Loess Fit = -0.115  Date_of_death = Jul2006 
 Loess Fit = -0.115  Date_of_death = Jul2006 
 Loess Fit = -0.115  Date_of_death = Jun2006 
 Loess Fit = -0.114  Date_of_death = Jun2006 
 Loess Fit = -0.114  Date_of_death = May2006 
 Loess Fit = -0.114  Date_of_death = May2006 
 Loess Fit = -0.114  Date_of_death = Apr2006 
 Loess Fit = -0.114  Date_of_death = Apr2006 
 Loess Fit = -0.114  Date_of_death = Mar2006 
 Loess Fit = -0.114  Date_of_death = Mar2006 
 Loess Fit = -0.114  Date_of_death = Feb2006 
 Loess Fit = -0.113  Date_of_death = Feb2006 
 Loess Fit = -0.113  Date_of_death = Jan2006 
 Loess Fit = -0.113  Date_of_death = Jan2006 
 Loess Fit = -0.113  Date_of_death = Dec2005 
 Loess Fit = -0.113  Date_of_death = Dec2005 
 Loess Fit = -0.113  Date_of_death = Oct2005 
 Loess Fit = -0.113  Date_of_death = Oct2005 
 Loess Fit = -0.113  Date_of_death = Sep2005 
 Loess Fit = -0.112  Date_of_death = Sep2005 
 Loess Fit = -0.112  Date_of_death = Aug2005 
 Loess Fit = -0.112  Date_of_death = Aug2005 
 Loess Fit = -0.112  Date_of_death = Jul2005 
 Loess Fit = -0.111  Date_of_death = Jul2005 
 Loess Fit = -0.111  Date_of_death = Jun2005 
 Loess Fit = -0.111  Date_of_death = Jun2005 
 Loess Fit = -0.111  Date_of_death = May2005 
 Loess Fit = -0.11  Date_of_death = May2005 
 Loess Fit = -0.11  Date_of_death = Apr2005 
 Loess Fit = -0.11  Date_of_death = Apr2005 
 Loess Fit = -0.11  Date_of_death = Mar2005 
 Loess Fit = -0.109  Date_of_death = Mar2005 
 Loess Fit = -0.109  Date_of_death = Jan2005 
 Loess Fit = -0.109  Date_of_death = Jan2005 
 Loess Fit = -0.109  Date_of_death = Dec2004 
 Loess Fit = -0.108  Date_of_death = Dec2004 
 Loess Fit = -0.108  Date_of_death = Nov2004 
 Loess Fit = -0.108  Date_of_death = Nov2004 
 Loess Fit = -0.108  Date_of_death = Oct2004 
 Loess Fit = -0.107  Date_of_death = Oct2004 
 Loess Fit = -0.107  Date_of_death = Sep2004 
 Loess Fit = -0.107  Date_of_death = Sep2004 
 Loess Fit = -0.107  Date_of_death = Aug2004 
 Loess Fit = -0.106  Date_of_death = Aug2004 
 Loess Fit = -0.106  Date_of_death = Jul2004 
 Loess Fit = -0.106  Date_of_death = Jul2004 
 Loess Fit = -0.106  Date_of_death = Jun2004 
 Loess Fit = -0.105  Date_of_death = Jun2004 
 Loess Fit = -0.105  Date_of_death = May2004 
 Loess Fit = -0.104  Date_of_death = May2004 
 Loess Fit = -0.104  Date_of_death = Mar2004 
 Loess Fit = -0.104  Date_of_death = Mar2004 
 Loess Fit = -0.104  Date_of_death = Feb2004 
 Loess Fit = -0.103  Date_of_death = Feb2004 
 Loess Fit = -0.103  Date_of_death = Jan2004 
 Loess Fit = -0.103  Date_of_death = Jan2004 
 Loess Fit = -0.103  Date_of_death = Dec2003 
 Loess Fit = -0.102  Date_of_death = Dec2003 
 Loess Fit = -0.102  Date_of_death = Nov2003 
 Loess Fit = -0.102  Date_of_death = Nov2003 
 Loess Fit = -0.102  Date_of_death = Oct2003 
 Loess Fit = -0.101  Date_of_death = Oct2003 
 Loess Fit = -0.101  Date_of_death = Sep2003 
 Loess Fit = -0.101  Date_of_death = Sep2003 
 Loess Fit = -0.101  Date_of_death = Aug2003 
 Loess Fit = -0.1  Date_of_death = Aug2003 
 Loess Fit = -0.1  Date_of_death = Jul2003 
 Loess Fit = -0.1  Date_of_death = Jul2003 
 Loess Fit = -0.1  Date_of_death = May2003 
 Loess Fit = -0.099  Date_of_death = May2003 
 Loess Fit = -0.099  Date_of_death = Apr2003 
 Loess Fit = -0.099  Date_of_death = Apr2003 
 Loess Fit = -0.099  Date_of_death = Mar2003 
 Loess Fit = -0.098  Date_of_death = Mar2003 
 Loess Fit = -0.098  Date_of_death = Feb2003 
 Loess Fit = -0.097  Date_of_death = Feb2003 
 Loess Fit = -0.097  Date_of_death = Jan2003 
 Loess Fit = -0.096  Date_of_death = Jan2003 
 Loess Fit = -0.096  Date_of_death = Dec2002 
 Loess Fit = -0.096  Date_of_death = Dec2002 
 Loess Fit = -0.096  Date_of_death = Nov2002 
 Loess Fit = -0.095  Date_of_death = Nov2002 
 Loess Fit = -0.095  Date_of_death = Oct2002 
 Loess Fit = -0.094  Date_of_death = Oct2002 
 Loess Fit = -0.094  Date_of_death = Aug2002 
 Loess Fit = -0.094  Date_of_death = Aug2002 
 Loess Fit = -0.094  Date_of_death = Jul2002 
 Loess Fit = -0.093  Date_of_death = Jul2002 
 Loess Fit = -0.093  Date_of_death = Jun2002 
 Loess Fit = -0.092  Date_of_death = Jun2002 
 Loess Fit = -0.092  Date_of_death = May2002 
 Loess Fit = -0.091  Date_of_death = May2002 
 Loess Fit = -0.091  Date_of_death = Apr2002 
 Loess Fit = -0.091  Date_of_death = Apr2002 
 Loess Fit = -0.091  Date_of_death = Mar2002 
 Loess Fit = -0.09  Date_of_death = Mar2002 
 Loess Fit = -0.09  Date_of_death = Feb2002 
 Loess Fit = -0.089  Date_of_death = Feb2002 
 Loess Fit = -0.089  Date_of_death = Jan2002 
 Loess Fit = -0.088  Date_of_death = Jan2002 
 Loess Fit = -0.088  Date_of_death = Dec2001 
 Loess Fit = -0.088  Date_of_death = Dec2001 
 Loess Fit = -0.088  Date_of_death = Oct2001 
 Loess Fit = -0.087  Date_of_death = Oct2001 
 Loess Fit = -0.087  Date_of_death = Sep2001 
 Loess Fit = -0.086  Date_of_death = Sep2001 
 Loess Fit = -0.086  Date_of_death = Aug2001 
 Loess Fit = -0.086  Date_of_death = Aug2001 
 Loess Fit = -0.086  Date_of_death = Jul2001 
 Loess Fit = -0.085  Date_of_death = Jul2001 
 Loess Fit = -0.085  Date_of_death = Jun2001 
 Loess Fit = -0.084  Date_of_death = Jun2001 
 Loess Fit = -0.084  Date_of_death = May2001 
 Loess Fit = -0.083  Date_of_death = May2001 
 Loess Fit = -0.083  Date_of_death = Apr2001 
 Loess Fit = -0.083  Date_of_death = Apr2001 
 Loess Fit = -0.083  Date_of_death = Mar2001 
 Loess Fit = -0.082  Date_of_death = Mar2001 
 Loess Fit = -0.082  Date_of_death = Feb2001 
 Loess Fit = -0.081  Date_of_death = Sep2019 
 Prediction Error = -1.001  Date_of_death = Aug2019 
 Prediction Error = -1.072  Date_of_death = Jul2019 
 Prediction Error = -1.092  Date_of_death = Jun2019 
 Prediction Error = -0.413  Date_of_death = May2019 
 Prediction Error = -1.332  Date_of_death = Apr2019 
 Prediction Error = -1.411  Date_of_death = Mar2019 
 Prediction Error = 0.4957  Date_of_death = Feb2019 
 Prediction Error = 0.5616  Date_of_death = Jan2019 
 Prediction Error = 0.2396  Date_of_death = Dec2018 
 Prediction Error = -1.397  Date_of_death = Nov2018 
 Prediction Error = -1.762  Date_of_death = Oct2018 
 Prediction Error = 0.6976  Date_of_death = Sep2018 
 Prediction Error = -0.136  Date_of_death = Aug2018 
 Prediction Error = 1.9597  Date_of_death = Jul2018 
 Prediction Error = -0.152  Date_of_death = Jun2018 
 Prediction Error = -1.57  Date_of_death = May2018 
 Prediction Error = -1.486  Date_of_death = Apr2018 
 Prediction Error = -1.571  Date_of_death = Mar2018 
 Prediction Error = -1.714  Date_of_death = Feb2018 
 Prediction Error = -0.614  Date_of_death = Jan2018 
 Prediction Error = -0.979  Date_of_death = Dec2017 
 Prediction Error = 1.582  Date_of_death = Nov2017 
 Prediction Error = -0.905  Date_of_death = Oct2017 
 Prediction Error = 1.7185  Date_of_death = Sep2017 
 Prediction Error = -0.225  Date_of_death = Aug2017 
 Prediction Error = -1.248  Date_of_death = Jul2017 
 Prediction Error = -0.311  Date_of_death = Jun2017 
 Prediction Error = 1.4237  Date_of_death = May2017 
 Prediction Error = -0.586  Date_of_death = Apr2017 
 Prediction Error = 1.5036  Date_of_death = Mar2017 
 Prediction Error = 1.4153  Date_of_death = Feb2017 
 Prediction Error = -0.594  Date_of_death = Jan2017 
 Prediction Error = -0.984  Date_of_death = Dec2016 
 Prediction Error = -1.511  Date_of_death = Nov2016 
 Prediction Error = 1.2009  Date_of_death = Oct2016 
 Prediction Error = -0.303  Date_of_death = Sep2016 
 Prediction Error = 1.9229  Date_of_death = Aug2016 
 Prediction Error = -0.204  Date_of_death = Jul2016 
 Prediction Error = -1.353  Date_of_death = Jun2016 
 Prediction Error = -1.696  Date_of_death = May2016 
 Prediction Error = -1.728  Date_of_death = Apr2016 
 Prediction Error = -0.613  Date_of_death = Mar2016 
 Prediction Error = 0.332  Date_of_death = Feb2016 
 Prediction Error = 2.5067  Date_of_death = Jan2016 
 Prediction Error = 2.1616  Date_of_death = Dec2015 
 Prediction Error = -0.513  Date_of_death = Nov2015 
 Prediction Error = -0.86  Date_of_death = Oct2015 
 Prediction Error = -1.418  Date_of_death = Sep2015 
 Prediction Error = -1.24  Date_of_death = Aug2015 
 Prediction Error = 0.7762  Date_of_death = Jul2015 
 Prediction Error = 0.6569  Date_of_death = Jun2015 
 Prediction Error = 1.4187  Date_of_death = May2015 
 Prediction Error = 1.448  Date_of_death = Apr2015 
 Prediction Error = 1.6139  Date_of_death = Mar2015 
 Prediction Error = -1.682  Date_of_death = Feb2015 
 Prediction Error = -0.49  Date_of_death = Jan2015 
 Prediction Error = -0.922  Date_of_death = Dec2014 
 Prediction Error = -1.665  Date_of_death = Nov2014 
 Prediction Error = -0.967  Date_of_death = Oct2014 
 Prediction Error = -0.474  Date_of_death = Sep2014 
 Prediction Error = 1.9203  Date_of_death = Aug2014 
 Prediction Error = 1.9583  Date_of_death = Jul2014 
 Prediction Error = -0.331  Date_of_death = Jun2014 
 Prediction Error = 0.465  Date_of_death = May2014 
 Prediction Error = -1.707  Date_of_death = Apr2014 
 Prediction Error = -0.5  Date_of_death = Mar2014 
 Prediction Error = 1.3843  Date_of_death = Feb2014 
 Prediction Error = -0.553  Date_of_death = Jan2014 
 Prediction Error = -1.021  Date_of_death = Dec2013 
 Prediction Error = -0.725  Date_of_death = Nov2013 
 Prediction Error = 1.144  Date_of_death = Oct2013 
 Prediction Error = 1.7154  Date_of_death = Sep2013 
 Prediction Error = 2.1409  Date_of_death = Aug2013 
 Prediction Error = -1.107  Date_of_death = Jul2013 
 Prediction Error = -1.439  Date_of_death = Jun2013 
 Prediction Error = 1.5925  Date_of_death = May2013 
 Prediction Error = 1.4677  Date_of_death = Apr2013 
 Prediction Error = 1.7326  Date_of_death = Mar2013 
 Prediction Error = 1.611  Date_of_death = Feb2013 
 Prediction Error = 0.6256  Date_of_death = Jan2013 
 Prediction Error = 1.2442  Date_of_death = Dec2012 
 Prediction Error = -1.699  Date_of_death = Nov2012 
 Prediction Error = -0.792  Date_of_death = Oct2012 
 Prediction Error = -1.312  Date_of_death = Sep2012 
 Prediction Error = -0.908  Date_of_death = Aug2012 
 Prediction Error = -1.176  Date_of_death = Jul2012 
 Prediction Error = -1.533  Date_of_death = Jun2012 
 Prediction Error = -1.558  Date_of_death = May2012 
 Prediction Error = 1.5549  Date_of_death = Apr2012 
 Prediction Error = -1.468  Date_of_death = Mar2012 
 Prediction Error = -1.662  Date_of_death = Feb2012 
 Prediction Error = -0.587  Date_of_death = Jan2012 
 Prediction Error = 2.2831  Date_of_death = Dec2011 
 Prediction Error = -2.021  Date_of_death = Nov2011 
 Prediction Error = -2.146  Date_of_death = Oct2011 
 Prediction Error = 1.7025  Date_of_death = Sep2011 
 Prediction Error = -1.133  Date_of_death = Aug2011 
 Prediction Error = 1.9016  Date_of_death = Jul2011 
 Prediction Error = -0.653  Date_of_death = Jun2011 
 Prediction Error = 1.5578  Date_of_death = May2011 
 Prediction Error = -1.65  Date_of_death = Apr2011 
 Prediction Error = 0.5435  Date_of_death = Mar2011 
 Prediction Error = -1.85  Date_of_death = Feb2011 
 Prediction Error = -0.678  Date_of_death = Jan2011 
 Prediction Error = 0.2365  Date_of_death = Dec2010 
 Prediction Error = 1.0557  Date_of_death = Nov2010 
 Prediction Error = -1.263  Date_of_death = Oct2010 
 Prediction Error = 1.8699  Date_of_death = Sep2010 
 Prediction Error = -0.13  Date_of_death = Aug2010 
 Prediction Error = -1.248  Date_of_death = Jul2010 
 Prediction Error = -0.759  Date_of_death = Jun2010 
 Prediction Error = -0.566  Date_of_death = May2010 
 Prediction Error = 0.3416  Date_of_death = Apr2010 
 Prediction Error = -1.684  Date_of_death = Mar2010 
 Prediction Error = -2.118  Date_of_death = Feb2010 
 Prediction Error = -0.831  Date_of_death = Jan2010 
 Prediction Error = -0.951  Date_of_death = Dec2009 
 Prediction Error = 1.0669  Date_of_death = Nov2009 
 Prediction Error = -2.64  Date_of_death = Oct2009 
 Prediction Error = -1.439  Date_of_death = Sep2009 
 Prediction Error = -0.333  Date_of_death = Aug2009 
 Prediction Error = 1.807  Date_of_death = Jul2009 
 Prediction Error = -0.985  Date_of_death = Jun2009 
 Prediction Error = 1.4829  Date_of_death = May2009 
 Prediction Error = 1.3946  Date_of_death = Apr2009 
 Prediction Error = 1.4181  Date_of_death = Mar2009 
 Prediction Error = -2.396  Date_of_death = Feb2009 
 Prediction Error = 1.2918  Date_of_death = Jan2009 
 Prediction Error = 0.0649  Date_of_death = Dec2008 
 Prediction Error = -2.216  Date_of_death = Nov2008 
 Prediction Error = 0.4156  Date_of_death = Oct2008 
 Prediction Error = -0.465  Date_of_death = Sep2008 
 Prediction Error = 1.9392  Date_of_death = Aug2008 
 Prediction Error = -0.187  Date_of_death = Jul2008 
 Prediction Error = 1.2068  Date_of_death = Jun2008 
 Prediction Error = -1.692  Date_of_death = May2008 
 Prediction Error = -1.843  Date_of_death = Apr2008 
 Prediction Error = 1.5558  Date_of_death = Mar2008 
 Prediction Error = -1.592  Date_of_death = Feb2008 
 Prediction Error = 0.2881  Date_of_death = Jan2008 
 Prediction Error = 0.034  Date_of_death = Dec2007 
 Prediction Error = 0.9044  Date_of_death = Nov2007 
 Prediction Error = 0.4836  Date_of_death = Oct2007 
 Prediction Error = 1.7951  Date_of_death = Sep2007 
 Prediction Error = -1.22  Date_of_death = Aug2007 
 Prediction Error = -1.381  Date_of_death = Jul2007 
 Prediction Error = -2.123  Date_of_death = Jun2007 
 Prediction Error = 0.3103  Date_of_death = May2007 
 Prediction Error = -0.989  Date_of_death = Apr2007 
 Prediction Error = 1.7506  Date_of_death = Mar2007 
 Prediction Error = 0.4723  Date_of_death = Feb2007 
 Prediction Error = 0.335  Date_of_death = Jan2007 
 Prediction Error = -1.136  Date_of_death = Dec2006 
 Prediction Error = 1.0446  Date_of_death = Nov2006 
 Prediction Error = 0.5527  Date_of_death = Oct2006 
 Prediction Error = -1.464  Date_of_death = Sep2006 
 Prediction Error = 2.0624  Date_of_death = Aug2006 
 Prediction Error = 1.9213  Date_of_death = Jul2006 
 Prediction Error = -1.259  Date_of_death = Jun2006 
 Prediction Error = -0.768  Date_of_death = May2006 
 Prediction Error = -2.295  Date_of_death = Apr2006 
 Prediction Error = -1.48  Date_of_death = Mar2006 
 Prediction Error = -3.018  Date_of_death = Feb2006 
 Prediction Error = 0.3192  Date_of_death = Jan2006 
 Prediction Error = -1.431  Date_of_death = Dec2005 
 Prediction Error = -0.032  Date_of_death = Nov2005 
 Prediction Error = 0.5741  Date_of_death = Oct2005 
 Prediction Error = 1.7937  Date_of_death = Sep2005 
 Prediction Error = -1.22  Date_of_death = Aug2005 
 Prediction Error = 2.2046  Date_of_death = Jul2005 
 Prediction Error = 0.814  Date_of_death = Jun2005 
 Prediction Error = -0.997  Date_of_death = May2005 
 Prediction Error = -1.615  Date_of_death = Apr2005 
 Prediction Error = 1.8055  Date_of_death = Mar2005 
 Prediction Error = 0.0059  Date_of_death = Feb2005 
 Prediction Error = -0.803  Date_of_death = Jan2005 
 Prediction Error = -1.772  Date_of_death = Dec2004 
 Prediction Error = -0.022  Date_of_death = Nov2004 
 Prediction Error = 0.7344  Date_of_death = Oct2004 
 Prediction Error = -1.53  Date_of_death = Sep2004 
 Prediction Error = 2.2405  Date_of_death = Aug2004 
 Prediction Error = 2.767  Date_of_death = Jul2004 
 Prediction Error = 1.0276  Date_of_death = Jun2004 
 Prediction Error = 1.291  Date_of_death = May2004 
 Prediction Error = 0.5477  Date_of_death = Apr2004 
 Prediction Error = 1.0594  Date_of_death = Mar2004 
 Prediction Error = 0.0618  Date_of_death = Feb2004 
 Prediction Error = -0.946  Date_of_death = Jan2004 
 Prediction Error = -2.301  Date_of_death = Dec2003 
 Prediction Error = -2.653  Date_of_death = Nov2003 
 Prediction Error = 1.0218  Date_of_death = Oct2003 
 Prediction Error = -1.993  Date_of_death = Sep2003 
 Prediction Error = -1  Date_of_death = Aug2003 
 Prediction Error = -0.336  Date_of_death = Jul2003 
 Prediction Error = -0.002  Date_of_death = Jun2003 
 Prediction Error = 1.6775  Date_of_death = May2003 
 Prediction Error = 0.6834  Date_of_death = Apr2003 
 Prediction Error = -1.326  Date_of_death = Mar2003 
 Prediction Error = 0.0075  Date_of_death = Feb2003 
 Prediction Error = -1.336  Date_of_death = Jan2003 
 Prediction Error = 1.0018  Date_of_death = Dec2002 
 Prediction Error = -1.004  Date_of_death = Nov2002 
 Prediction Error = 1.5049  Date_of_death = Oct2002 
 Prediction Error = 1.514  Date_of_death = Sep2002 
 Prediction Error = -1.494  Date_of_death = Aug2002 
 Prediction Error = 1.0125  Date_of_death = Jul2002 
 Prediction Error = 1.5219  Date_of_death = Jun2002 
 Prediction Error = -1.988  Date_of_death = May2002 
 Prediction Error = -1.999  Date_of_death = Apr2002 
 Prediction Error = -2.011  Date_of_death = Mar2002 
 Prediction Error = -0.012  Date_of_death = Feb2002 
 Prediction Error = 2.5024  Date_of_death = Jan2002 
 Prediction Error = 2.0088  Date_of_death = Dec2001 
 Prediction Error = 0.0097  Date_of_death = Nov2001 
 Prediction Error = -3  Date_of_death = Oct2001 
 Prediction Error = -3.011  Date_of_death = Sep2001 
 Prediction Error = 2.9991  Date_of_death = Aug2001 
 Prediction Error = -.0009  Date_of_death = Jul2001 
 Prediction Error = 3.0097  Date_of_death = Jun2001 
 Prediction Error = -1.996  Date_of_death = May2001 
 Prediction Error = 0.0038  Date_of_death = Apr2001 
 Prediction Error = -2.003  Date_of_death = Mar2001 
 Prediction Error = -0.003  Date_of_death = Feb2001 
 Prediction Error = 1  Date_of_death = Sep2019 
 2*STD = 2.6516 
 -2*STD = -2.652  Date_of_death = Aug2019 
 2*STD = 2.6516 
 -2*STD = -2.652  Date_of_death = Aug2019 
 2*STD = 2.6516 
 -2*STD = -2.652  Date_of_death = Jul2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Jul2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Jun2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Jun2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = May2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = May2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Apr2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Apr2019 
 2*STD = 2.6517 
 -2*STD = -2.652  Date_of_death = Mar2019 
 2*STD = 2.6518 
 -2*STD = -2.652  Date_of_death = Mar2019 
 2*STD = 2.6518 
 -2*STD = -2.652  Date_of_death = Feb2019 
 2*STD = 2.6518 
 -2*STD = -2.652  Date_of_death = Feb2019 
 2*STD = 2.6518 
 -2*STD = -2.652  Date_of_death = Jan2019 
 2*STD = 2.6549 
 -2*STD = -2.655  Date_of_death = Jan2019 
 2*STD = 2.6549 
 -2*STD = -2.655  Date_of_death = Dec2018 
 2*STD = 2.6549 
 -2*STD = -2.655  Date_of_death = Dec2018 
 2*STD = 2.6549 
 -2*STD = -2.655  Date_of_death = Nov2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Nov2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Oct2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Oct2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Sep2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Sep2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Aug2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Aug2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Jul2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Jul2018 
 2*STD = 2.655 
 -2*STD = -2.655  Date_of_death = Jun2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = Jun2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = May2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = May2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = Apr2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = Apr2018 
 2*STD = 2.6551 
 -2*STD = -2.655  Date_of_death = Mar2018 
 2*STD = 2.6552 
 -2*STD = -2.655  Date_of_death = Mar2018 
 2*STD = 2.6552 
 -2*STD = -2.655  Date_of_death = Feb2018 
 2*STD = 2.6552 
 -2*STD = -2.655  Date_of_death = Feb2018 
 2*STD = 2.6552 
 -2*STD = -2.655  Date_of_death = Jan2018 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Jan2018 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Dec2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Dec2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Nov2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Nov2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Oct2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Oct2017 
 2*STD = 2.6587 
 -2*STD = -2.659  Date_of_death = Sep2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Sep2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Aug2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Aug2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Jul2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Jul2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Jun2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = Jun2017 
 2*STD = 2.6588 
 -2*STD = -2.659  Date_of_death = May2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = May2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = Apr2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = Apr2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = Mar2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = Mar2017 
 2*STD = 2.6589 
 -2*STD = -2.659  Date_of_death = Feb2017 
 2*STD = 2.659 
 -2*STD = -2.659  Date_of_death = Feb2017 
 2*STD = 2.659 
 -2*STD = -2.659  Date_of_death = Jan2017 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Jan2017 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Dec2016 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Dec2016 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Nov2016 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Nov2016 
 2*STD = 2.6629 
 -2*STD = -2.663  Date_of_death = Oct2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Oct2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Sep2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Sep2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Aug2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Aug2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Jul2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Jul2016 
 2*STD = 2.663 
 -2*STD = -2.663  Date_of_death = Jun2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = Jun2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = May2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = May2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = Apr2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = Apr2016 
 2*STD = 2.6631 
 -2*STD = -2.663  Date_of_death = Mar2016 
 2*STD = 2.6632 
 -2*STD = -2.663  Date_of_death = Mar2016 
 2*STD = 2.6632 
 -2*STD = -2.663  Date_of_death = Feb2016 
 2*STD = 2.6632 
 -2*STD = -2.663  Date_of_death = Feb2016 
 2*STD = 2.6632 
 -2*STD = -2.663  Date_of_death = Jan2016 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Jan2016 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Dec2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Dec2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Nov2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Nov2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Oct2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Oct2015 
 2*STD = 2.6677 
 -2*STD = -2.668  Date_of_death = Sep2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Sep2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Aug2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Aug2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Jul2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Jul2015 
 2*STD = 2.6678 
 -2*STD = -2.668  Date_of_death = Jun2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = Jun2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = May2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = May2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = Apr2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = Apr2015 
 2*STD = 2.6679 
 -2*STD = -2.668  Date_of_death = Mar2015 
 2*STD = 2.668 
 -2*STD = -2.668  Date_of_death = Mar2015 
 2*STD = 2.668 
 -2*STD = -2.668  Date_of_death = Feb2015 
 2*STD = 2.668 
 -2*STD = -2.668  Date_of_death = Feb2015 
 2*STD = 2.668 
 -2*STD = -2.668  Date_of_death = Jan2015 
 2*STD = 2.6731 
 -2*STD = -2.673  Date_of_death = Jan2015 
 2*STD = 2.6731 
 -2*STD = -2.673  Date_of_death = Dec2014 
 2*STD = 2.6731 
 -2*STD = -2.673  Date_of_death = Dec2014 
 2*STD = 2.6731 
 -2*STD = -2.673  Date_of_death = Nov2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Nov2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Oct2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Oct2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Sep2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Sep2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Aug2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Aug2014 
 2*STD = 2.6732 
 -2*STD = -2.673  Date_of_death = Jul2014 
 2*STD = 2.6733 
 -2*STD = -2.673  Date_of_death = Jul2014 
 2*STD = 2.6733 
 -2*STD = -2.673  Date_of_death = Jun2014 
 2*STD = 2.6733 
 -2*STD = -2.673  Date_of_death = Jun2014 
 2*STD = 2.6733 
 -2*STD = -2.673  Date_of_death = May2014 
 2*STD = 2.6734 
 -2*STD = -2.673  Date_of_death = May2014 
 2*STD = 2.6734 
 -2*STD = -2.673  Date_of_death = Apr2014 
 2*STD = 2.6734 
 -2*STD = -2.673  Date_of_death = Apr2014 
 2*STD = 2.6734 
 -2*STD = -2.673  Date_of_death = Mar2014 
 2*STD = 2.6735 
 -2*STD = -2.673  Date_of_death = Mar2014 
 2*STD = 2.6735 
 -2*STD = -2.673  Date_of_death = Feb2014 
 2*STD = 2.6735 
 -2*STD = -2.674  Date_of_death = Feb2014 
 2*STD = 2.6735 
 -2*STD = -2.674  Date_of_death = Jan2014 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Jan2014 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Dec2013 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Dec2013 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Nov2013 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Nov2013 
 2*STD = 2.6794 
 -2*STD = -2.679  Date_of_death = Oct2013 
 2*STD = 2.6795 
 -2*STD = -2.679  Date_of_death = Oct2013 
 2*STD = 2.6795 
 -2*STD = -2.679  Date_of_death = Sep2013 
 2*STD = 2.6795 
 -2*STD = -2.68  Date_of_death = Sep2013 
 2*STD = 2.6795 
 -2*STD = -2.68  Date_of_death = Aug2013 
 2*STD = 2.6795 
 -2*STD = -2.68  Date_of_death = Aug2013 
 2*STD = 2.6795 
 -2*STD = -2.68  Date_of_death = Jul2013 
 2*STD = 2.6796 
 -2*STD = -2.68  Date_of_death = Jul2013 
 2*STD = 2.6796 
 -2*STD = -2.68  Date_of_death = Jun2013 
 2*STD = 2.6796 
 -2*STD = -2.68  Date_of_death = Jun2013 
 2*STD = 2.6796 
 -2*STD = -2.68  Date_of_death = May2013 
 2*STD = 2.6797 
 -2*STD = -2.68  Date_of_death = May2013 
 2*STD = 2.6797 
 -2*STD = -2.68  Date_of_death = Apr2013 
 2*STD = 2.6797 
 -2*STD = -2.68  Date_of_death = Apr2013 
 2*STD = 2.6797 
 -2*STD = -2.68  Date_of_death = Mar2013 
 2*STD = 2.6798 
 -2*STD = -2.68  Date_of_death = Mar2013 
 2*STD = 2.6798 
 -2*STD = -2.68  Date_of_death = Feb2013 
 2*STD = 2.6798 
 -2*STD = -2.68  Date_of_death = Feb2013 
 2*STD = 2.6798 
 -2*STD = -2.68  Date_of_death = Jan2013 
 2*STD = 2.6867 
 -2*STD = -2.687  Date_of_death = Jan2013 
 2*STD = 2.6867 
 -2*STD = -2.687  Date_of_death = Dec2012 
 2*STD = 2.6867 
 -2*STD = -2.687  Date_of_death = Dec2012 
 2*STD = 2.6867 
 -2*STD = -2.687  Date_of_death = Nov2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Nov2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Oct2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Oct2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Sep2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Sep2012 
 2*STD = 2.6868 
 -2*STD = -2.687  Date_of_death = Aug2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = Aug2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = Jul2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = Jul2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = Jun2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = Jun2012 
 2*STD = 2.6869 
 -2*STD = -2.687  Date_of_death = May2012 
 2*STD = 2.687 
 -2*STD = -2.687  Date_of_death = May2012 
 2*STD = 2.687 
 -2*STD = -2.687  Date_of_death = Apr2012 
 2*STD = 2.687 
 -2*STD = -2.687  Date_of_death = Apr2012 
 2*STD = 2.687 
 -2*STD = -2.687  Date_of_death = Mar2012 
 2*STD = 2.6871 
 -2*STD = -2.687  Date_of_death = Mar2012 
 2*STD = 2.6871 
 -2*STD = -2.687  Date_of_death = Feb2012 
 2*STD = 2.6871 
 -2*STD = -2.687  Date_of_death = Feb2012 
 2*STD = 2.6871 
 -2*STD = -2.687  Date_of_death = Jan2012 
 2*STD = 2.6953 
 -2*STD = -2.695  Date_of_death = Jan2012 
 2*STD = 2.6953 
 -2*STD = -2.695  Date_of_death = Dec2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Dec2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Nov2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Nov2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Oct2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Oct2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Sep2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Sep2011 
 2*STD = 2.6954 
 -2*STD = -2.695  Date_of_death = Aug2011 
 2*STD = 2.6955 
 -2*STD = -2.695  Date_of_death = Aug2011 
 2*STD = 2.6955 
 -2*STD = -2.695  Date_of_death = Jul2011 
 2*STD = 2.6955 
 -2*STD = -2.696  Date_of_death = Jul2011 
 2*STD = 2.6955 
 -2*STD = -2.696  Date_of_death = Jun2011 
 2*STD = 2.6956 
 -2*STD = -2.696  Date_of_death = Jun2011 
 2*STD = 2.6956 
 -2*STD = -2.696  Date_of_death = May2011 
 2*STD = 2.6956 
 -2*STD = -2.696  Date_of_death = May2011 
 2*STD = 2.6956 
 -2*STD = -2.696  Date_of_death = Apr2011 
 2*STD = 2.6957 
 -2*STD = -2.696  Date_of_death = Apr2011 
 2*STD = 2.6957 
 -2*STD = -2.696  Date_of_death = Mar2011 
 2*STD = 2.6957 
 -2*STD = -2.696  Date_of_death = Mar2011 
 2*STD = 2.6957 
 -2*STD = -2.696  Date_of_death = Feb2011 
 2*STD = 2.6958 
 -2*STD = -2.696  Date_of_death = Feb2011 
 2*STD = 2.6958 
 -2*STD = -2.696  Date_of_death = Jan2011 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Jan2011 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Dec2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Dec2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Nov2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Nov2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Oct2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Oct2010 
 2*STD = 2.7057 
 -2*STD = -2.706  Date_of_death = Sep2010 
 2*STD = 2.7058 
 -2*STD = -2.706  Date_of_death = Sep2010 
 2*STD = 2.7058 
 -2*STD = -2.706  Date_of_death = Aug2010 
 2*STD = 2.7058 
 -2*STD = -2.706  Date_of_death = Aug2010 
 2*STD = 2.7058 
 -2*STD = -2.706  Date_of_death = Jul2010 
 2*STD = 2.7059 
 -2*STD = -2.706  Date_of_death = Jul2010 
 2*STD = 2.7059 
 -2*STD = -2.706  Date_of_death = Jun2010 
 2*STD = 2.7059 
 -2*STD = -2.706  Date_of_death = Jun2010 
 2*STD = 2.7059 
 -2*STD = -2.706  Date_of_death = May2010 
 2*STD = 2.706 
 -2*STD = -2.706  Date_of_death = May2010 
 2*STD = 2.706 
 -2*STD = -2.706  Date_of_death = Apr2010 
 2*STD = 2.706 
 -2*STD = -2.706  Date_of_death = Apr2010 
 2*STD = 2.706 
 -2*STD = -2.706  Date_of_death = Mar2010 
 2*STD = 2.7061 
 -2*STD = -2.706  Date_of_death = Mar2010 
 2*STD = 2.7061 
 -2*STD = -2.706  Date_of_death = Feb2010 
 2*STD = 2.7061 
 -2*STD = -2.706  Date_of_death = Feb2010 
 2*STD = 2.7061 
 -2*STD = -2.706  Date_of_death = Jan2010 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Jan2010 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Dec2009 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Dec2009 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Nov2009 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Nov2009 
 2*STD = 2.7183 
 -2*STD = -2.718  Date_of_death = Oct2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Oct2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Sep2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Sep2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Aug2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Aug2009 
 2*STD = 2.7184 
 -2*STD = -2.718  Date_of_death = Jul2009 
 2*STD = 2.7185 
 -2*STD = -2.718  Date_of_death = Jul2009 
 2*STD = 2.7185 
 -2*STD = -2.718  Date_of_death = Jun2009 
 2*STD = 2.7185 
 -2*STD = -2.719  Date_of_death = Jun2009 
 2*STD = 2.7185 
 -2*STD = -2.719  Date_of_death = May2009 
 2*STD = 2.7186 
 -2*STD = -2.719  Date_of_death = May2009 
 2*STD = 2.7186 
 -2*STD = -2.719  Date_of_death = Apr2009 
 2*STD = 2.7186 
 -2*STD = -2.719  Date_of_death = Apr2009 
 2*STD = 2.7186 
 -2*STD = -2.719  Date_of_death = Mar2009 
 2*STD = 2.7187 
 -2*STD = -2.719  Date_of_death = Mar2009 
 2*STD = 2.7187 
 -2*STD = -2.719  Date_of_death = Feb2009 
 2*STD = 2.7188 
 -2*STD = -2.719  Date_of_death = Feb2009 
 2*STD = 2.7188 
 -2*STD = -2.719  Date_of_death = Jan2009 
 2*STD = 2.734 
 -2*STD = -2.734  Date_of_death = Jan2009 
 2*STD = 2.734 
 -2*STD = -2.734  Date_of_death = Dec2008 
 2*STD = 2.734 
 -2*STD = -2.734  Date_of_death = Dec2008 
 2*STD = 2.734 
 -2*STD = -2.734  Date_of_death = Nov2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Nov2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Oct2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Oct2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Sep2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Sep2008 
 2*STD = 2.7341 
 -2*STD = -2.734  Date_of_death = Aug2008 
 2*STD = 2.7342 
 -2*STD = -2.734  Date_of_death = Aug2008 
 2*STD = 2.7342 
 -2*STD = -2.734  Date_of_death = Jul2008 
 2*STD = 2.7342 
 -2*STD = -2.734  Date_of_death = Jul2008 
 2*STD = 2.7342 
 -2*STD = -2.734  Date_of_death = Jun2008 
 2*STD = 2.7343 
 -2*STD = -2.734  Date_of_death = Jun2008 
 2*STD = 2.7343 
 -2*STD = -2.734  Date_of_death = May2008 
 2*STD = 2.7343 
 -2*STD = -2.734  Date_of_death = May2008 
 2*STD = 2.7343 
 -2*STD = -2.734  Date_of_death = Apr2008 
 2*STD = 2.7344 
 -2*STD = -2.734  Date_of_death = Apr2008 
 2*STD = 2.7344 
 -2*STD = -2.734  Date_of_death = Mar2008 
 2*STD = 2.7344 
 -2*STD = -2.734  Date_of_death = Mar2008 
 2*STD = 2.7344 
 -2*STD = -2.734  Date_of_death = Feb2008 
 2*STD = 2.7345 
 -2*STD = -2.735  Date_of_death = Feb2008 
 2*STD = 2.7345 
 -2*STD = -2.735  Date_of_death = Jan2008 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Jan2008 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Dec2007 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Dec2007 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Nov2007 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Nov2007 
 2*STD = 2.7542 
 -2*STD = -2.754  Date_of_death = Oct2007 
 2*STD = 2.7543 
 -2*STD = -2.754  Date_of_death = Oct2007 
 2*STD = 2.7543 
 -2*STD = -2.754  Date_of_death = Sep2007 
 2*STD = 2.7543 
 -2*STD = -2.754  Date_of_death = Sep2007 
 2*STD = 2.7543 
 -2*STD = -2.754  Date_of_death = Aug2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = Aug2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = Jul2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = Jul2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = Jun2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = Jun2007 
 2*STD = 2.7544 
 -2*STD = -2.754  Date_of_death = May2007 
 2*STD = 2.7545 
 -2*STD = -2.754  Date_of_death = May2007 
 2*STD = 2.7545 
 -2*STD = -2.754  Date_of_death = Apr2007 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Apr2007 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Mar2007 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Mar2007 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Feb2007 
 2*STD = 2.7547 
 -2*STD = -2.755  Date_of_death = Feb2007 
 2*STD = 2.7547 
 -2*STD = -2.755  Date_of_death = Jan2007 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Jan2007 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Dec2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Dec2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Nov2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Nov2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Oct2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Oct2006 
 2*STD = 2.7811 
 -2*STD = -2.781  Date_of_death = Sep2006 
 2*STD = 2.7812 
 -2*STD = -2.781  Date_of_death = Sep2006 
 2*STD = 2.7812 
 -2*STD = -2.781  Date_of_death = Aug2006 
 2*STD = 2.7812 
 -2*STD = -2.781  Date_of_death = Aug2006 
 2*STD = 2.7812 
 -2*STD = -2.781  Date_of_death = Jul2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = Jul2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = Jun2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = Jun2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = May2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = May2006 
 2*STD = 2.7813 
 -2*STD = -2.781  Date_of_death = Apr2006 
 2*STD = 2.7814 
 -2*STD = -2.781  Date_of_death = Apr2006 
 2*STD = 2.7814 
 -2*STD = -2.781  Date_of_death = Mar2006 
 2*STD = 2.7815 
 -2*STD = -2.781  Date_of_death = Mar2006 
 2*STD = 2.7815 
 -2*STD = -2.781  Date_of_death = Feb2006 
 2*STD = 2.7815 
 -2*STD = -2.782  Date_of_death = Feb2006 
 2*STD = 2.7815 
 -2*STD = -2.782  Date_of_death = Jan2006 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Jan2006 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Dec2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Dec2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Nov2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Nov2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Oct2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Oct2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Sep2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Sep2005 
 2*STD = 2.8186 
 -2*STD = -2.819  Date_of_death = Aug2005 
 2*STD = 2.8187 
 -2*STD = -2.819  Date_of_death = Aug2005 
 2*STD = 2.8187 
 -2*STD = -2.819  Date_of_death = Jul2005 
 2*STD = 2.8187 
 -2*STD = -2.819  Date_of_death = Jul2005 
 2*STD = 2.8187 
 -2*STD = -2.819  Date_of_death = Jun2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = Jun2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = May2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = May2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = Apr2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = Apr2005 
 2*STD = 2.8188 
 -2*STD = -2.819  Date_of_death = Mar2005 
 2*STD = 2.8189 
 -2*STD = -2.819  Date_of_death = Mar2005 
 2*STD = 2.8189 
 -2*STD = -2.819  Date_of_death = Feb2005 
 2*STD = 2.819 
 -2*STD = -2.819  Date_of_death = Feb2005 
 2*STD = 2.819 
 -2*STD = -2.819  Date_of_death = Jan2005 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Jan2005 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Dec2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Dec2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Nov2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Nov2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Oct2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Oct2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Sep2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Sep2004 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Aug2004 
 2*STD = 2.8745 
 -2*STD = -2.874  Date_of_death = Aug2004 
 2*STD = 2.8745 
 -2*STD = -2.874  Date_of_death = Jul2004 
 2*STD = 2.8745 
 -2*STD = -2.874  Date_of_death = Jul2004 
 2*STD = 2.8745 
 -2*STD = -2.874  Date_of_death = Jun2004 
 2*STD = 2.8745 
 -2*STD = -2.875  Date_of_death = Jun2004 
 2*STD = 2.8745 
 -2*STD = -2.875  Date_of_death = May2004 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = May2004 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = Apr2004 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = Apr2004 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = Mar2004 
 2*STD = 2.8747 
 -2*STD = -2.875  Date_of_death = Mar2004 
 2*STD = 2.8747 
 -2*STD = -2.875  Date_of_death = Feb2004 
 2*STD = 2.8747 
 -2*STD = -2.875  Date_of_death = Feb2004 
 2*STD = 2.8747 
 -2*STD = -2.875  Date_of_death = Jan2004 
 2*STD = 2.9659 
 -2*STD = -2.966  Date_of_death = Jan2004 
 2*STD = 2.9659 
 -2*STD = -2.966  Date_of_death = Dec2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Dec2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Nov2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Nov2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Oct2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Oct2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Sep2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Sep2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Aug2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Aug2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Jul2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Jul2003 
 2*STD = 2.966 
 -2*STD = -2.966  Date_of_death = Jun2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Jun2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = May2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = May2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Apr2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Apr2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Mar2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Mar2003 
 2*STD = 2.9661 
 -2*STD = -2.966  Date_of_death = Feb2003 
 2*STD = 2.9662 
 -2*STD = -2.966  Date_of_death = Feb2003 
 2*STD = 2.9662 
 -2*STD = -2.966  Date_of_death = Jan2003 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Jan2003 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Dec2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Dec2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Nov2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Nov2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Oct2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Oct2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Sep2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Sep2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Aug2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Aug2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Jul2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Jul2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Jun2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = Jun2002 
 2*STD = 3.1427 
 -2*STD = -3.143  Date_of_death = May2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = May2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Apr2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Apr2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Mar2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Mar2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Feb2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Feb2002 
 2*STD = 3.1428 
 -2*STD = -3.143  Date_of_death = Jan2002 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Jan2002 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Dec2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Dec2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Nov2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Nov2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Oct2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Oct2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Sep2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Sep2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Aug2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Aug2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Jul2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Jul2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Jun2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Jun2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = May2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = May2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Apr2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Apr2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Mar2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Mar2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Date_of_death = Feb2001 
 2*STD = 3.6249 
 -2*STD = -3.625  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 OCT2019 2.194152 1.32580 -0.404372 4.792675
238 NOV2019 2.512591 1.32605 -0.086424 5.111605
239 DEC2019 2.199461 1.32630 -0.400041 4.798962
240 JAN2020 1.675808 1.32655 -0.924176 4.275792
241 FEB2020 1.364240 1.32542 -1.233526 3.962007
242 MAR2020 2.416760 1.32566 -0.181481 5.015001
243 APR2020 2.219292 1.32590 -0.379420 4.818003
244 MAY2020 2.171808 1.32614 -0.427370 4.770986
245 JUN2020 2.324344 1.32637 -0.275296 4.923985
246 JUL2020 1.976857 1.32661 -0.623242 4.576957
247 AUG2020 1.979393 1.32684 -0.621161 4.579947
248 SEP2020 1.931914 1.32707 -0.669091 4.532918

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 1.9319  Date_of_death = Aug2020 
 Forecast = 1.9794  Date_of_death = Aug2020 
 Forecast = 1.9794  Date_of_death = Jul2020 
 Forecast = 1.9769  Date_of_death = Jul2020 
 Forecast = 1.9769  Date_of_death = Jun2020 
 Forecast = 2.3243  Date_of_death = Jun2020 
 Forecast = 2.3243  Date_of_death = May2020 
 Forecast = 2.1718  Date_of_death = May2020 
 Forecast = 2.1718  Date_of_death = Apr2020 
 Forecast = 2.2193  Date_of_death = Apr2020 
 Forecast = 2.2193  Date_of_death = Mar2020 
 Forecast = 2.4168  Date_of_death = Mar2020 
 Forecast = 2.4168  Date_of_death = Feb2020 
 Forecast = 1.3642  Date_of_death = Feb2020 
 Forecast = 1.3642  Date_of_death = Jan2020 
 Forecast = 1.6758  Date_of_death = Jan2020 
 Forecast = 1.6758  Date_of_death = Dec2019 
 Forecast = 2.1995  Date_of_death = Dec2019 
 Forecast = 2.1995  Date_of_death = Nov2019 
 Forecast = 2.5126  Date_of_death = Nov2019 
 Forecast = 2.5126  Date_of_death = Oct2019 
 Forecast = 2.1942  Date_of_death = Sep2020 
 Upper 95% = 4.5329 
 Lower 95% = -0.6691  Date_of_death = Aug2020 
 Upper 95% = 4.5799 
 Lower 95% = -0.6212  Date_of_death = Aug2020 
 Upper 95% = 4.5799 
 Lower 95% = -0.6212  Date_of_death = Jul2020 
 Upper 95% = 4.5770 
 Lower 95% = -0.6232  Date_of_death = Jul2020 
 Upper 95% = 4.5770 
 Lower 95% = -0.6232  Date_of_death = Jun2020 
 Upper 95% = 4.9240 
 Lower 95% = -0.2753  Date_of_death = Jun2020 
 Upper 95% = 4.9240 
 Lower 95% = -0.2753  Date_of_death = May2020 
 Upper 95% = 4.7710 
 Lower 95% = -0.4274  Date_of_death = May2020 
 Upper 95% = 4.7710 
 Lower 95% = -0.4274  Date_of_death = Apr2020 
 Upper 95% = 4.8180 
 Lower 95% = -0.3794  Date_of_death = Apr2020 
 Upper 95% = 4.8180 
 Lower 95% = -0.3794  Date_of_death = Mar2020 
 Upper 95% = 5.0150 
 Lower 95% = -0.1815  Date_of_death = Mar2020 
 Upper 95% = 5.0150 
 Lower 95% = -0.1815  Date_of_death = Feb2020 
 Upper 95% = 3.9620 
 Lower 95% = -1.2335  Date_of_death = Feb2020 
 Upper 95% = 3.9620 
 Lower 95% = -1.2335  Date_of_death = Jan2020 
 Upper 95% = 4.2758 
 Lower 95% = -0.9242  Date_of_death = Jan2020 
 Upper 95% = 4.2758 
 Lower 95% = -0.9242  Date_of_death = Dec2019 
 Upper 95% = 4.7990 
 Lower 95% = -0.4000  Date_of_death = Dec2019 
 Upper 95% = 4.7990 
 Lower 95% = -0.4000  Date_of_death = Nov2019 
 Upper 95% = 5.1116 
 Lower 95% = -0.0864  Date_of_death = Nov2019 
 Upper 95% = 5.1116 
 Lower 95% = -0.0864  Date_of_death = Oct2019 
 Upper 95% = 4.7927 
 Lower 95% = -0.4044
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 1.9319  Date_of_death = Aug2020 
 Forecast = 1.9794  Date_of_death = Aug2020 
 Forecast = 1.9794  Date_of_death = Jul2020 
 Forecast = 1.9769  Date_of_death = Jul2020 
 Forecast = 1.9769  Date_of_death = Jun2020 
 Forecast = 2.3243  Date_of_death = Jun2020 
 Forecast = 2.3243  Date_of_death = May2020 
 Forecast = 2.1718  Date_of_death = May2020 
 Forecast = 2.1718  Date_of_death = Apr2020 
 Forecast = 2.2193  Date_of_death = Apr2020 
 Forecast = 2.2193  Date_of_death = Mar2020 
 Forecast = 2.4168  Date_of_death = Mar2020 
 Forecast = 2.4168  Date_of_death = Feb2020 
 Forecast = 1.3642  Date_of_death = Feb2020 
 Forecast = 1.3642  Date_of_death = Jan2020 
 Forecast = 1.6758  Date_of_death = Jan2020 
 Forecast = 1.6758  Date_of_death = Dec2019 
 Forecast = 2.1995  Date_of_death = Dec2019 
 Forecast = 2.1995  Date_of_death = Nov2019 
 Forecast = 2.5126  Date_of_death = Nov2019 
 Forecast = 2.5126  Date_of_death = Oct2019 
 Forecast = 2.1942  Date_of_death = Oct2019 
 Forecast = 2.1942  Date_of_death = Sep2019 
 Forecast = 2.0009  Date_of_death = Sep2019 
 Forecast = 2.0009  Date_of_death = Aug2019 
 Forecast = 2.0723  Date_of_death = Aug2019 
 Forecast = 2.0723  Date_of_death = Jul2019 
 Forecast = 2.0916  Date_of_death = Jul2019 
 Forecast = 2.0916  Date_of_death = Jun2019 
 Forecast = 2.4133  Date_of_death = Jun2019 
 Forecast = 2.4133  Date_of_death = May2019 
 Forecast = 2.3323  Date_of_death = May2019 
 Forecast = 2.3323  Date_of_death = Apr2019 
 Forecast = 2.4110  Date_of_death = Apr2019 
 Forecast = 2.4110  Date_of_death = Mar2019 
 Forecast = 2.5043  Date_of_death = Mar2019 
 Forecast = 2.5043  Date_of_death = Feb2019 
 Forecast = 1.4384  Date_of_death = Feb2019 
 Forecast = 1.4384  Date_of_death = Jan2019 
 Forecast = 1.7604  Date_of_death = Jan2019 
 Forecast = 1.7604  Date_of_death = Dec2018 
 Forecast = 2.3966  Date_of_death = Dec2018 
 Forecast = 2.3966  Date_of_death = Nov2018 
 Forecast = 2.7625  Date_of_death = Nov2018 
 Forecast = 2.7625  Date_of_death = Oct2018 
 Forecast = 2.3024  Date_of_death = Oct2018 
 Forecast = 2.3024  Date_of_death = Sep2018 
 Forecast = 2.1364  Date_of_death = Sep2018 
 Forecast = 2.1364  Date_of_death = Aug2018 
 Forecast = 2.0403  Date_of_death = Aug2018 
 Forecast = 2.0403  Date_of_death = Jul2018 
 Forecast = 2.1522  Date_of_death = Jul2018 
 Forecast = 2.1522  Date_of_death = Jun2018 
 Forecast = 2.5699  Date_of_death = Jun2018 
 Forecast = 2.5699  Date_of_death = May2018 
 Forecast = 2.4861  Date_of_death = May2018 
 Forecast = 2.4861  Date_of_death = Apr2018 
 Forecast = 2.5708  Date_of_death = Apr2018 
 Forecast = 2.5708  Date_of_death = Mar2018 
 Forecast = 2.7142  Date_of_death = Mar2018 
 Forecast = 2.7142  Date_of_death = Feb2018 
 Forecast = 1.6137  Date_of_death = Feb2018 
 Forecast = 1.6137  Date_of_death = Jan2018 
 Forecast = 1.9794  Date_of_death = Jan2018 
 Forecast = 1.9794  Date_of_death = Dec2017 
 Forecast = 2.4180  Date_of_death = Dec2017 
 Forecast = 2.4180  Date_of_death = Nov2017 
 Forecast = 2.9045  Date_of_death = Nov2017 
 Forecast = 2.9045  Date_of_death = Oct2017 
 Forecast = 2.2815  Date_of_death = Oct2017 
 Forecast = 2.2815  Date_of_death = Sep2017 
 Forecast = 2.2254  Date_of_death = Sep2017 
 Forecast = 2.2254  Date_of_death = Aug2017 
 Forecast = 2.2480  Date_of_death = Aug2017 
 Forecast = 2.2480  Date_of_death = Jul2017 
 Forecast = 2.3114  Date_of_death = Jul2017 
 Forecast = 2.3114  Date_of_death = Jun2017 
 Forecast = 2.5763  Date_of_death = Jun2017 
 Forecast = 2.5763  Date_of_death = May2017 
 Forecast = 2.5861  Date_of_death = May2017 
 Forecast = 2.5861  Date_of_death = Apr2017 
 Forecast = 2.4964  Date_of_death = Apr2017 
 Forecast = 2.4964  Date_of_death = Mar2017 
 Forecast = 2.5847  Date_of_death = Mar2017 
 Forecast = 2.5847  Date_of_death = Feb2017 
 Forecast = 1.5944  Date_of_death = Feb2017 
 Forecast = 1.5944  Date_of_death = Jan2017 
 Forecast = 1.9841  Date_of_death = Jan2017 
 Forecast = 1.9841  Date_of_death = Dec2016 
 Forecast = 2.5111  Date_of_death = Dec2016 
 Forecast = 2.5111  Date_of_death = Nov2016 
 Forecast = 2.7991  Date_of_death = Nov2016 
 Forecast = 2.7991  Date_of_death = Oct2016 
 Forecast = 2.3031  Date_of_death = Oct2016 
 Forecast = 2.3031  Date_of_death = Sep2016 
 Forecast = 2.0771  Date_of_death = Sep2016 
 Forecast = 2.0771  Date_of_death = Aug2016 
 Forecast = 2.2040  Date_of_death = Aug2016 
 Forecast = 2.2040  Date_of_death = Jul2016 
 Forecast = 2.3529  Date_of_death = Jul2016 
 Forecast = 2.3529  Date_of_death = Jun2016 
 Forecast = 2.6962  Date_of_death = Jun2016 
 Forecast = 2.6962  Date_of_death = May2016 
 Forecast = 2.7278  Date_of_death = May2016 
 Forecast = 2.7278  Date_of_death = Apr2016 
 Forecast = 2.6132  Date_of_death = Apr2016 
 Forecast = 2.6132  Date_of_death = Mar2016 
 Forecast = 2.6680  Date_of_death = Mar2016 
 Forecast = 2.6680  Date_of_death = Feb2016 
 Forecast = 1.4933  Date_of_death = Feb2016 
 Forecast = 1.4933  Date_of_death = Jan2016 
 Forecast = 1.8384  Date_of_death = Jan2016 
 Forecast = 1.8384  Date_of_death = Dec2015 
 Forecast = 2.5127  Date_of_death = Dec2015 
 Forecast = 2.5127  Date_of_death = Nov2015 
 Forecast = 2.8602  Date_of_death = Nov2015 
 Forecast = 2.8602  Date_of_death = Oct2015 
 Forecast = 2.4183  Date_of_death = Oct2015 
 Forecast = 2.4183  Date_of_death = Sep2015 
 Forecast = 2.2399  Date_of_death = Sep2015 
 Forecast = 2.2399  Date_of_death = Aug2015 
 Forecast = 2.2238  Date_of_death = Aug2015 
 Forecast = 2.2238  Date_of_death = Jul2015 
 Forecast = 2.3431  Date_of_death = Jul2015 
 Forecast = 2.3431  Date_of_death = Jun2015 
 Forecast = 2.5813  Date_of_death = Jun2015 
 Forecast = 2.5813  Date_of_death = May2015 
 Forecast = 2.5520  Date_of_death = May2015 
 Forecast = 2.5520  Date_of_death = Apr2015 
 Forecast = 2.3861  Date_of_death = Apr2015 
 Forecast = 2.3861  Date_of_death = Mar2015 
 Forecast = 2.6824  Date_of_death = Mar2015 
 Forecast = 2.6824  Date_of_death = Feb2015 
 Forecast = 1.4896  Date_of_death = Feb2015 
 Forecast = 1.4896  Date_of_death = Jan2015 
 Forecast = 1.9222  Date_of_death = Jan2015 
 Forecast = 1.9222  Date_of_death = Dec2014 
 Forecast = 2.6651  Date_of_death = Dec2014 
 Forecast = 2.6651  Date_of_death = Nov2014 
 Forecast = 2.9668  Date_of_death = Nov2014 
 Forecast = 2.9668  Date_of_death = Oct2014 
 Forecast = 2.4739  Date_of_death = Oct2014 
 Forecast = 2.4739  Date_of_death = Sep2014 
 Forecast = 2.0797  Date_of_death = Sep2014 
 Forecast = 2.0797  Date_of_death = Aug2014 
 Forecast = 2.0417  Date_of_death = Aug2014 
 Forecast = 2.0417  Date_of_death = Jul2014 
 Forecast = 2.3314  Date_of_death = Jul2014 
 Forecast = 2.3314  Date_of_death = Jun2014 
 Forecast = 2.5350  Date_of_death = Jun2014 
 Forecast = 2.5350  Date_of_death = May2014 
 Forecast = 2.7073  Date_of_death = May2014 
 Forecast = 2.7073  Date_of_death = Apr2014 
 Forecast = 2.5004  Date_of_death = Apr2014 
 Forecast = 2.5004  Date_of_death = Mar2014 
 Forecast = 2.6157  Date_of_death = Mar2014 
 Forecast = 2.6157  Date_of_death = Feb2014 
 Forecast = 1.5525  Date_of_death = Feb2014 
 Forecast = 1.5525  Date_of_death = Jan2014 
 Forecast = 2.0212  Date_of_death = Jan2014 
 Forecast = 2.0212  Date_of_death = Dec2013 
 Forecast = 2.7246  Date_of_death = Dec2013 
 Forecast = 2.7246  Date_of_death = Nov2013 
 Forecast = 2.8560  Date_of_death = Nov2013 
 Forecast = 2.8560  Date_of_death = Oct2013 
 Forecast = 2.2846  Date_of_death = Oct2013 
 Forecast = 2.2846  Date_of_death = Sep2013 
 Forecast = 1.8591  Date_of_death = Sep2013 
 Forecast = 1.8591  Date_of_death = Aug2013 
 Forecast = 2.1073  Date_of_death = Aug2013 
 Forecast = 2.1073  Date_of_death = Jul2013 
 Forecast = 2.4386  Date_of_death = Jul2013 
 Forecast = 2.4386  Date_of_death = Jun2013 
 Forecast = 2.4075  Date_of_death = Jun2013 
 Forecast = 2.4075  Date_of_death = May2013 
 Forecast = 2.5323  Date_of_death = May2013 
 Forecast = 2.5323  Date_of_death = Apr2013 
 Forecast = 2.2674  Date_of_death = Apr2013 
 Forecast = 2.2674  Date_of_death = Mar2013 
 Forecast = 2.3890  Date_of_death = Mar2013 
 Forecast = 2.3890  Date_of_death = Feb2013 
 Forecast = 1.3744  Date_of_death = Feb2013 
 Forecast = 1.3744  Date_of_death = Jan2013 
 Forecast = 1.7558  Date_of_death = Jan2013 
 Forecast = 1.7558  Date_of_death = Dec2012 
 Forecast = 2.6985  Date_of_death = Dec2012 
 Forecast = 2.6985  Date_of_death = Nov2012 
 Forecast = 2.7923  Date_of_death = Nov2012 
 Forecast = 2.7923  Date_of_death = Oct2012 
 Forecast = 2.3119  Date_of_death = Oct2012 
 Forecast = 2.3119  Date_of_death = Sep2012 
 Forecast = 1.9081  Date_of_death = Sep2012 
 Forecast = 1.9081  Date_of_death = Aug2012 
 Forecast = 2.1758  Date_of_death = Aug2012 
 Forecast = 2.1758  Date_of_death = Jul2012 
 Forecast = 2.5333  Date_of_death = Jul2012 
 Forecast = 2.5333  Date_of_death = Jun2012 
 Forecast = 2.5582  Date_of_death = Jun2012 
 Forecast = 2.5582  Date_of_death = May2012 
 Forecast = 2.4451  Date_of_death = May2012 
 Forecast = 2.4451  Date_of_death = Apr2012 
 Forecast = 2.4685  Date_of_death = Apr2012 
 Forecast = 2.4685  Date_of_death = Mar2012 
 Forecast = 2.6623  Date_of_death = Mar2012 
 Forecast = 2.6623  Date_of_death = Feb2012 
 Forecast = 1.5874  Date_of_death = Feb2012 
 Forecast = 1.5874  Date_of_death = Jan2012 
 Forecast = 1.7169  Date_of_death = Jan2012 
 Forecast = 1.7169  Date_of_death = Dec2011 
 Forecast = 3.0213  Date_of_death = Dec2011 
 Forecast = 3.0213  Date_of_death = Nov2011 
 Forecast = 3.1464  Date_of_death = Nov2011 
 Forecast = 3.1464  Date_of_death = Oct2011 
 Forecast = 2.2975  Date_of_death = Oct2011 
 Forecast = 2.2975  Date_of_death = Sep2011 
 Forecast = 2.1328  Date_of_death = Sep2011 
 Forecast = 2.1328  Date_of_death = Aug2011 
 Forecast = 2.0984  Date_of_death = Aug2011 
 Forecast = 2.0984  Date_of_death = Jul2011 
 Forecast = 2.6528  Date_of_death = Jul2011 
 Forecast = 2.6528  Date_of_death = Jun2011 
 Forecast = 2.4422  Date_of_death = Jun2011 
 Forecast = 2.4422  Date_of_death = May2011 
 Forecast = 2.6498  Date_of_death = May2011 
 Forecast = 2.6498  Date_of_death = Apr2011 
 Forecast = 2.4565  Date_of_death = Apr2011 
 Forecast = 2.4565  Date_of_death = Mar2011 
 Forecast = 2.8498  Date_of_death = Mar2011 
 Forecast = 2.8498  Date_of_death = Feb2011 
 Forecast = 1.6777  Date_of_death = Feb2011 
 Forecast = 1.6777  Date_of_death = Jan2011 
 Forecast = 1.7635  Date_of_death = Jan2011 
 Forecast = 1.7635  Date_of_death = Dec2010 
 Forecast = 2.9443  Date_of_death = Dec2010 
 Forecast = 2.9443  Date_of_death = Nov2010 
 Forecast = 3.2627  Date_of_death = Nov2010 
 Forecast = 3.2627  Date_of_death = Oct2010 
 Forecast = 2.1301  Date_of_death = Oct2010 
 Forecast = 2.1301  Date_of_death = Sep2010 
 Forecast = 2.1300  Date_of_death = Sep2010 
 Forecast = 2.1300  Date_of_death = Aug2010 
 Forecast = 2.2481  Date_of_death = Aug2010 
 Forecast = 2.2481  Date_of_death = Jul2010 
 Forecast = 2.7585  Date_of_death = Jul2010 
 Forecast = 2.7585  Date_of_death = Jun2010 
 Forecast = 2.5659  Date_of_death = Jun2010 
 Forecast = 2.5659  Date_of_death = May2010 
 Forecast = 2.6584  Date_of_death = May2010 
 Forecast = 2.6584  Date_of_death = Apr2010 
 Forecast = 2.6844  Date_of_death = Apr2010 
 Forecast = 2.6844  Date_of_death = Mar2010 
 Forecast = 3.1179  Date_of_death = Mar2010 
 Forecast = 3.1179  Date_of_death = Feb2010 
 Forecast = 1.8305  Date_of_death = Feb2010 
 Forecast = 1.8305  Date_of_death = Jan2010 
 Forecast = 1.9507  Date_of_death = Jan2010 
 Forecast = 1.9507  Date_of_death = Dec2009 
 Forecast = 2.9331  Date_of_death = Dec2009 
 Forecast = 2.9331  Date_of_death = Nov2009 
 Forecast = 3.6396  Date_of_death = Nov2009 
 Forecast = 3.6396  Date_of_death = Oct2009 
 Forecast = 2.4391  Date_of_death = Oct2009 
 Forecast = 2.4391  Date_of_death = Sep2009 
 Forecast = 2.3328  Date_of_death = Sep2009 
 Forecast = 2.3328  Date_of_death = Aug2009 
 Forecast = 2.1930  Date_of_death = Aug2009 
 Forecast = 2.1930  Date_of_death = Jul2009 
 Forecast = 2.9855  Date_of_death = Jul2009 
 Forecast = 2.9855  Date_of_death = Jun2009 
 Forecast = 2.5171  Date_of_death = Jun2009 
 Forecast = 2.5171  Date_of_death = May2009 
 Forecast = 2.6054  Date_of_death = May2009 
 Forecast = 2.6054  Date_of_death = Apr2009 
 Forecast = 2.5819  Date_of_death = Apr2009 
 Forecast = 2.5819  Date_of_death = Mar2009 
 Forecast = 3.3963  Date_of_death = Mar2009 
 Forecast = 3.3963  Date_of_death = Feb2009 
 Forecast = 1.7082  Date_of_death = Feb2009 
 Forecast = 1.7082  Date_of_death = Jan2009 
 Forecast = 1.9351  Date_of_death = Jan2009 
 Forecast = 1.9351  Date_of_death = Dec2008 
 Forecast = 3.2164  Date_of_death = Dec2008 
 Forecast = 3.2164  Date_of_death = Nov2008 
 Forecast = 3.5844  Date_of_death = Nov2008 
 Forecast = 3.5844  Date_of_death = Oct2008 
 Forecast = 2.4653  Date_of_death = Oct2008 
 Forecast = 2.4653  Date_of_death = Sep2008 
 Forecast = 2.0608  Date_of_death = Sep2008 
 Forecast = 2.0608  Date_of_death = Aug2008 
 Forecast = 2.1873  Date_of_death = Aug2008 
 Forecast = 2.1873  Date_of_death = Jul2008 
 Forecast = 2.7932  Date_of_death = Jul2008 
 Forecast = 2.7932  Date_of_death = Jun2008 
 Forecast = 2.6918  Date_of_death = Jun2008 
 Forecast = 2.6918  Date_of_death = May2008 
 Forecast = 2.8432  Date_of_death = May2008 
 Forecast = 2.8432  Date_of_death = Apr2008 
 Forecast = 2.4442  Date_of_death = Apr2008 
 Forecast = 2.4442  Date_of_death = Mar2008 
 Forecast = 3.5920  Date_of_death = Mar2008 
 Forecast = 3.5920  Date_of_death = Feb2008 
 Forecast = 1.7119  Date_of_death = Feb2008 
 Forecast = 1.7119  Date_of_death = Jan2008 
 Forecast = 1.9660  Date_of_death = Jan2008 
 Forecast = 1.9660  Date_of_death = Dec2007 
 Forecast = 3.0956  Date_of_death = Dec2007 
 Forecast = 3.0956  Date_of_death = Nov2007 
 Forecast = 3.5164  Date_of_death = Nov2007 
 Forecast = 3.5164  Date_of_death = Oct2007 
 Forecast = 2.2049  Date_of_death = Oct2007 
 Forecast = 2.2049  Date_of_death = Sep2007 
 Forecast = 2.2200  Date_of_death = Sep2007 
 Forecast = 2.2200  Date_of_death = Aug2007 
 Forecast = 2.3806  Date_of_death = Aug2007 
 Forecast = 2.3806  Date_of_death = Jul2007 
 Forecast = 3.1232  Date_of_death = Jul2007 
 Forecast = 3.1232  Date_of_death = Jun2007 
 Forecast = 2.6897  Date_of_death = Jun2007 
 Forecast = 2.6897  Date_of_death = May2007 
 Forecast = 2.9885  Date_of_death = May2007 
 Forecast = 2.9885  Date_of_death = Apr2007 
 Forecast = 2.2494  Date_of_death = Apr2007 
 Forecast = 2.2494  Date_of_death = Mar2007 
 Forecast = 3.5277  Date_of_death = Mar2007 
 Forecast = 3.5277  Date_of_death = Feb2007 
 Forecast = 1.6650  Date_of_death = Feb2007 
 Forecast = 1.6650  Date_of_death = Jan2007 
 Forecast = 2.1360  Date_of_death = Jan2007 
 Forecast = 2.1360  Date_of_death = Dec2006 
 Forecast = 2.9554  Date_of_death = Dec2006 
 Forecast = 2.9554  Date_of_death = Nov2006 
 Forecast = 3.4473  Date_of_death = Nov2006 
 Forecast = 3.4473  Date_of_death = Oct2006 
 Forecast = 2.4644  Date_of_death = Oct2006 
 Forecast = 2.4644  Date_of_death = Sep2006 
 Forecast = 1.9376  Date_of_death = Sep2006 
 Forecast = 1.9376  Date_of_death = Aug2006 
 Forecast = 2.0787  Date_of_death = Aug2006 
 Forecast = 2.0787  Date_of_death = Jul2006 
 Forecast = 3.2594  Date_of_death = Jul2006 
 Forecast = 3.2594  Date_of_death = Jun2006 
 Forecast = 2.7676  Date_of_death = Jun2006 
 Forecast = 2.7676  Date_of_death = May2006 
 Forecast = 3.2953  Date_of_death = May2006 
 Forecast = 3.2953  Date_of_death = Apr2006 
 Forecast = 2.4800  Date_of_death = Apr2006 
 Forecast = 2.4800  Date_of_death = Mar2006 
 Forecast = 4.0180  Date_of_death = Mar2006 
 Forecast = 4.0180  Date_of_death = Feb2006 
 Forecast = 1.6808  Date_of_death = Feb2006 
 Forecast = 1.6808  Date_of_death = Jan2006 
 Forecast = 2.4309  Date_of_death = Jan2006 
 Forecast = 2.4309  Date_of_death = Dec2005 
 Forecast = 3.0317  Date_of_death = Dec2005 
 Forecast = 3.0317  Date_of_death = Nov2005 
 Forecast = 3.4259  Date_of_death = Nov2005 
 Forecast = 3.4259  Date_of_death = Oct2005 
 Forecast = 2.2063  Date_of_death = Oct2005 
 Forecast = 2.2063  Date_of_death = Sep2005 
 Forecast = 2.2199  Date_of_death = Sep2005 
 Forecast = 2.2199  Date_of_death = Aug2005 
 Forecast = 1.7954  Date_of_death = Aug2005 
 Forecast = 1.7954  Date_of_death = Jul2005 
 Forecast = 3.1860  Date_of_death = Jul2005 
 Forecast = 3.1860  Date_of_death = Jun2005 
 Forecast = 2.9967  Date_of_death = Jun2005 
 Forecast = 2.9967  Date_of_death = May2005 
 Forecast = 3.6147  Date_of_death = May2005 
 Forecast = 3.6147  Date_of_death = Apr2005 
 Forecast = 2.1945  Date_of_death = Apr2005 
 Forecast = 2.1945  Date_of_death = Mar2005 
 Forecast = 3.9941  Date_of_death = Mar2005 
 Forecast = 3.9941  Date_of_death = Feb2005 
 Forecast = 1.8030  Date_of_death = Feb2005 
 Forecast = 1.8030  Date_of_death = Jan2005 
 Forecast = 2.7718  Date_of_death = Jan2005 
 Forecast = 2.7718  Date_of_death = Dec2004 
 Forecast = 3.0223  Date_of_death = Dec2004 
 Forecast = 3.0223  Date_of_death = Nov2004 
 Forecast = 3.2656  Date_of_death = Nov2004 
 Forecast = 3.2656  Date_of_death = Oct2004 
 Forecast = 2.5304  Date_of_death = Oct2004 
 Forecast = 2.5304  Date_of_death = Sep2004 
 Forecast = 1.7595  Date_of_death = Sep2004 
 Forecast = 1.7595  Date_of_death = Aug2004 
 Forecast = 1.2330  Date_of_death = Aug2004 
 Forecast = 1.2330  Date_of_death = Jul2004 
 Forecast = 2.9724  Date_of_death = Jul2004 
 Forecast = 2.9724  Date_of_death = Jun2004 
 Forecast = 2.7090  Date_of_death = Jun2004 
 Forecast = 2.7090  Date_of_death = May2004 
 Forecast = 3.4523  Date_of_death = May2004 
 Forecast = 3.4523  Date_of_death = Apr2004 
 Forecast = 1.9406  Date_of_death = Apr2004 
 Forecast = 1.9406  Date_of_death = Mar2004 
 Forecast = 3.9382  Date_of_death = Mar2004 
 Forecast = 3.9382  Date_of_death = Feb2004 
 Forecast = 1.9456  Date_of_death = Feb2004 
 Forecast = 1.9456  Date_of_death = Jan2004 
 Forecast = 3.3011  Date_of_death = Jan2004 
 Forecast = 3.3011  Date_of_death = Dec2003 
 Forecast = 3.6535  Date_of_death = Dec2003 
 Forecast = 3.6535  Date_of_death = Nov2003 
 Forecast = 2.9782  Date_of_death = Nov2003 
 Forecast = 2.9782  Date_of_death = Oct2003 
 Forecast = 2.9927  Date_of_death = Oct2003 
 Forecast = 2.9927  Date_of_death = Sep2003 
 Forecast = 1.9999  Date_of_death = Sep2003 
 Forecast = 1.9999  Date_of_death = Aug2003 
 Forecast = 1.3357  Date_of_death = Aug2003 
 Forecast = 1.3357  Date_of_death = Jul2003 
 Forecast = 3.0023  Date_of_death = Jul2003 
 Forecast = 3.0023  Date_of_death = Jun2003 
 Forecast = 2.3225  Date_of_death = Jun2003 
 Forecast = 2.3225  Date_of_death = May2003 
 Forecast = 3.3166  Date_of_death = May2003 
 Forecast = 3.3166  Date_of_death = Apr2003 
 Forecast = 2.3263  Date_of_death = Apr2003 
 Forecast = 2.3263  Date_of_death = Mar2003 
 Forecast = 3.9925  Date_of_death = Mar2003 
 Forecast = 3.9925  Date_of_death = Feb2003 
 Forecast = 2.3360  Date_of_death = Feb2003 
 Forecast = 2.3360  Date_of_death = Jan2003 
 Forecast = 2.9982  Date_of_death = Jan2003 
 Forecast = 2.9982  Date_of_death = Dec2002 
 Forecast = 4.0036  Date_of_death = Dec2002 
 Forecast = 4.0036  Date_of_death = Nov2002 
 Forecast = 2.4951  Date_of_death = Nov2002 
 Forecast = 2.4951  Date_of_death = Oct2002 
 Forecast = 2.4860  Date_of_death = Oct2002 
 Forecast = 2.4860  Date_of_death = Sep2002 
 Forecast = 2.4937  Date_of_death = Sep2002 
 Forecast = 2.4937  Date_of_death = Aug2002 
 Forecast = 0.9875  Date_of_death = Aug2002 
 Forecast = 0.9875  Date_of_death = Jul2002 
 Forecast = 2.4781  Date_of_death = Jul2002 
 Forecast = 2.4781  Date_of_death = Jun2002 
 Forecast = 2.9883  Date_of_death = Jun2002 
 Forecast = 2.9883  Date_of_death = May2002 
 Forecast = 3.9993  Date_of_death = May2002 
 Forecast = 3.9993  Date_of_death = Apr2002 
 Forecast = 3.0109  Date_of_death = Apr2002 
 Forecast = 3.0109  Date_of_death = Mar2002 
 Forecast = 4.0115  Date_of_death = Mar2002 
 Forecast = 4.0115  Date_of_death = Feb2002 
 Forecast = 1.4976  Date_of_death = Feb2002 
 Forecast = 1.4976  Date_of_death = Jan2002 
 Forecast = 1.9912  Date_of_death = Jan2002 
 Forecast = 1.9912  Date_of_death = Dec2001 
 Forecast = 3.9903  Date_of_death = Dec2001 
 Forecast = 3.9903  Date_of_death = Nov2001 
 Forecast = 4.0000  Date_of_death = Nov2001 
 Forecast = 4.0000  Date_of_death = Oct2001 
 Forecast = 4.0106  Date_of_death = Oct2001 
 Forecast = 4.0106  Date_of_death = Sep2001 
 Forecast = 1.0009  Date_of_death = Sep2001 
 Forecast = 1.0009  Date_of_death = Aug2001 
 Forecast = 1.0009  Date_of_death = Aug2001 
 Forecast = 1.0009  Date_of_death = Jul2001 
 Forecast = 0.9903  Date_of_death = Jul2001 
 Forecast = 0.9903  Date_of_death = Jun2001 
 Forecast = 3.9965  Date_of_death = Jun2001 
 Forecast = 3.9965  Date_of_death = May2001 
 Forecast = 3.9962  Date_of_death = May2001 
 Forecast = 3.9962  Date_of_death = Apr2001 
 Forecast = 4.0030  Date_of_death = Apr2001 
 Forecast = 4.0030  Date_of_death = Mar2001 
 Forecast = 4.0033  Date_of_death = Mar2001 
 Forecast = 4.0033  Date_of_death = Feb2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 1.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 2.0000  Date_of_death = May2019 
 incidents = 1.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 3.0000  Date_of_death = Feb2019 
 incidents = 2.0000  Date_of_death = Jan2019 
 incidents = 2.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 1.0000  Date_of_death = Oct2018 
 incidents = 3.0000  Date_of_death = Sep2018 
 incidents = 2.0000  Date_of_death = Aug2018 
 incidents = 4.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 1.0000  Date_of_death = Apr2018 
 incidents = 1.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 1.0000  Date_of_death = Dec2017 
 incidents = 4.0000  Date_of_death = Nov2017 
 incidents = 2.0000  Date_of_death = Oct2017 
 incidents = 4.0000  Date_of_death = Sep2017 
 incidents = 2.0000  Date_of_death = Aug2017 
 incidents = 1.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 4.0000  Date_of_death = May2017 
 incidents = 2.0000  Date_of_death = Apr2017 
 incidents = 4.0000  Date_of_death = Mar2017 
 incidents = 4.0000  Date_of_death = Feb2017 
 incidents = 1.0000  Date_of_death = Jan2017 
 incidents = 1.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 4.0000  Date_of_death = Oct2016 
 incidents = 2.0000  Date_of_death = Sep2016 
 incidents = 4.0000  Date_of_death = Aug2016 
 incidents = 2.0000  Date_of_death = Jul2016 
 incidents = 1.0000  Date_of_death = Jun2016 
 incidents = 1.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 2.0000  Date_of_death = Mar2016 
 incidents = 3.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 4.0000  Date_of_death = Dec2015 
 incidents = 2.0000  Date_of_death = Nov2015 
 incidents = 2.0000  Date_of_death = Oct2015 
 incidents = 1.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 3.0000  Date_of_death = Jul2015 
 incidents = 3.0000  Date_of_death = Jun2015 
 incidents = 4.0000  Date_of_death = May2015 
 incidents = 4.0000  Date_of_death = Apr2015 
 incidents = 4.0000  Date_of_death = Mar2015 
 incidents = 1.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 1.0000  Date_of_death = Dec2014 
 incidents = 1.0000  Date_of_death = Nov2014 
 incidents = 2.0000  Date_of_death = Oct2014 
 incidents = 2.0000  Date_of_death = Sep2014 
 incidents = 4.0000  Date_of_death = Aug2014 
 incidents = 4.0000  Date_of_death = Jul2014 
 incidents = 2.0000  Date_of_death = Jun2014 
 incidents = 3.0000  Date_of_death = May2014 
 incidents = 1.0000  Date_of_death = Apr2014 
 incidents = 2.0000  Date_of_death = Mar2014 
 incidents = 4.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 2.0000  Date_of_death = Nov2013 
 incidents = 4.0000  Date_of_death = Oct2013 
 incidents = 4.0000  Date_of_death = Sep2013 
 incidents = 4.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 4.0000  Date_of_death = May2013 
 incidents = 4.0000  Date_of_death = Apr2013 
 incidents = 4.0000  Date_of_death = Mar2013 
 incidents = 4.0000  Date_of_death = Feb2013 
 incidents = 2.0000  Date_of_death = Jan2013 
 incidents = 3.0000  Date_of_death = Dec2012 
 incidents = 1.0000  Date_of_death = Nov2012 
 incidents = 2.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 1.0000  Date_of_death = Aug2012 
 incidents = 1.0000  Date_of_death = Jul2012 
 incidents = 1.0000  Date_of_death = Jun2012 
 incidents = 1.0000  Date_of_death = May2012 
 incidents = 4.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 1.0000  Date_of_death = Jan2012 
 incidents = 4.0000  Date_of_death = Dec2011 
 incidents = 1.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 4.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 4.0000  Date_of_death = Jul2011 
 incidents = 2.0000  Date_of_death = Jun2011 
 incidents = 4.0000  Date_of_death = May2011 
 incidents = 1.0000  Date_of_death = Apr2011 
 incidents = 3.0000  Date_of_death = Mar2011 
 incidents = 1.0000  Date_of_death = Feb2011 
 incidents = 1.0000  Date_of_death = Jan2011 
 incidents = 2.0000  Date_of_death = Dec2010 
 incidents = 4.0000  Date_of_death = Nov2010 
 incidents = 2.0000  Date_of_death = Oct2010 
 incidents = 4.0000  Date_of_death = Sep2010 
 incidents = 2.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 2.0000  Date_of_death = Jun2010 
 incidents = 2.0000  Date_of_death = May2010 
 incidents = 3.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 1.0000  Date_of_death = Dec2009 
 incidents = 4.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 1.0000  Date_of_death = Sep2009 
 incidents = 2.0000  Date_of_death = Aug2009 
 incidents = 4.0000  Date_of_death = Jul2009 
 incidents = 2.0000  Date_of_death = Jun2009 
 incidents = 4.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 4.0000  Date_of_death = Mar2009 
 incidents = 1.0000  Date_of_death = Feb2009 
 incidents = 3.0000  Date_of_death = Jan2009 
 incidents = 2.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 2.0000  Date_of_death = Sep2008 
 incidents = 4.0000  Date_of_death = Aug2008 
 incidents = 2.0000  Date_of_death = Jul2008 
 incidents = 4.0000  Date_of_death = Jun2008 
 incidents = 1.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 4.0000  Date_of_death = Mar2008 
 incidents = 2.0000  Date_of_death = Feb2008 
 incidents = 2.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 4.0000  Date_of_death = Nov2007 
 incidents = 4.0000  Date_of_death = Oct2007 
 incidents = 4.0000  Date_of_death = Sep2007 
 incidents = 1.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 3.0000  Date_of_death = May2007 
 incidents = 2.0000  Date_of_death = Apr2007 
 incidents = 4.0000  Date_of_death = Mar2007 
 incidents = 4.0000  Date_of_death = Feb2007 
 incidents = 2.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 4.0000  Date_of_death = Nov2006 
 incidents = 4.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 4.0000  Date_of_death = Aug2006 
 incidents = 4.0000  Date_of_death = Jul2006 
 incidents = 2.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 1.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 2.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 3.0000  Date_of_death = Nov2005 
 incidents = 4.0000  Date_of_death = Oct2005 
 incidents = 4.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 4.0000  Date_of_death = Jul2005 
 incidents = 4.0000  Date_of_death = Jun2005 
 incidents = 2.0000  Date_of_death = May2005 
 incidents = 2.0000  Date_of_death = Apr2005 
 incidents = 4.0000  Date_of_death = Mar2005 
 incidents = 4.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 3.0000  Date_of_death = Nov2004 
 incidents = 4.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 4.0000  Date_of_death = Aug2004 
 incidents = 4.0000  Date_of_death = Jul2004 
 incidents = 4.0000  Date_of_death = Jun2004 
 incidents = 4.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 3.0000  Date_of_death = Mar2004 
 incidents = 4.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 4.0000  Date_of_death = Oct2003 
 incidents = 1.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 3.0000  Date_of_death = Jun2003 
 incidents = 4.0000  Date_of_death = May2003 
 incidents = 4.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 4.0000  Date_of_death = Feb2003 
 incidents = 1.0000  Date_of_death = Jan2003 
 incidents = 4.0000  Date_of_death = Dec2002 
 incidents = 3.0000  Date_of_death = Nov2002 
 incidents = 4.0000  Date_of_death = Oct2002 
 incidents = 4.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 2.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 1.0000  Date_of_death = May2002 
 incidents = 2.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 4.0000  Date_of_death = Feb2002 
 incidents = 4.0000  Date_of_death = Jan2002 
 incidents = 4.0000  Date_of_death = Dec2001 
 incidents = 4.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 1.0000  Date_of_death = Sep2001 
 incidents = 4.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 4.0000  Date_of_death = Jun2001 
 incidents = 2.0000  Date_of_death = May2001 
 incidents = 4.0000  Date_of_death = Apr2001 
 incidents = 2.0000  Date_of_death = Mar2001 
 incidents = 4.0000  Date_of_death = Feb2001 
 incidents = 2.0000  Date_of_death = Sep2020 
 Upper 95% = 4.5329 
 Lower 95% = -0.6691  Date_of_death = Aug2020 
 Upper 95% = 4.5799 
 Lower 95% = -0.6212  Date_of_death = Aug2020 
 Upper 95% = 4.5799 
 Lower 95% = -0.6212  Date_of_death = Jul2020 
 Upper 95% = 4.5770 
 Lower 95% = -0.6232  Date_of_death = Jul2020 
 Upper 95% = 4.5770 
 Lower 95% = -0.6232  Date_of_death = Jun2020 
 Upper 95% = 4.9240 
 Lower 95% = -0.2753  Date_of_death = Jun2020 
 Upper 95% = 4.9240 
 Lower 95% = -0.2753  Date_of_death = May2020 
 Upper 95% = 4.7710 
 Lower 95% = -0.4274  Date_of_death = May2020 
 Upper 95% = 4.7710 
 Lower 95% = -0.4274  Date_of_death = Apr2020 
 Upper 95% = 4.8180 
 Lower 95% = -0.3794  Date_of_death = Apr2020 
 Upper 95% = 4.8180 
 Lower 95% = -0.3794  Date_of_death = Mar2020 
 Upper 95% = 5.0150 
 Lower 95% = -0.1815  Date_of_death = Mar2020 
 Upper 95% = 5.0150 
 Lower 95% = -0.1815  Date_of_death = Feb2020 
 Upper 95% = 3.9620 
 Lower 95% = -1.2335  Date_of_death = Feb2020 
 Upper 95% = 3.9620 
 Lower 95% = -1.2335  Date_of_death = Jan2020 
 Upper 95% = 4.2758 
 Lower 95% = -0.9242  Date_of_death = Jan2020 
 Upper 95% = 4.2758 
 Lower 95% = -0.9242  Date_of_death = Dec2019 
 Upper 95% = 4.7990 
 Lower 95% = -0.4000  Date_of_death = Dec2019 
 Upper 95% = 4.7990 
 Lower 95% = -0.4000  Date_of_death = Nov2019 
 Upper 95% = 5.1116 
 Lower 95% = -0.0864  Date_of_death = Nov2019 
 Upper 95% = 5.1116 
 Lower 95% = -0.0864  Date_of_death = Oct2019 
 Upper 95% = 4.7927 
 Lower 95% = -0.4044
Forecast Plot

County=Cook

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 OCT2019 237 0 1.00000 6.00000 2.85654 1.96271

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 OCT2019 237 0 1.00000 6.00000 2.85654 1.96271

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.06877
Level Error Variance 1.15079
Season Error Variance 3.80885

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -491.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 988.42
BIC (smaller is better) 998.66
AICC (smaller is better) 988.52
HQIC (smaller is better) 992.55
CAIC (smaller is better) 1001.7
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.81662 0.36440 10.47 <.0001
Level Error Variance 0.00098475 0.0023703 0.42 0.6778
Season Error Variance 4.033745E-8 0.00002663 0.00 0.9988

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.58835
Root Mean Squared Error 2.14204
Mean Absolute Percentage Error 89.25113
Maximum Percent Error 83.33333
R-Square -0.20709
Adjusted R-Square -0.21796
Random Walk R-Square 0.33433
Amemiya's Adjusted R-Square -0.23971

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 8.74 0.0031
Level 1 156.71 <.0001
Season 11 11.05 0.4393

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.089934955 0.2468335

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.033745E-8

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error
Chi-Square DF Pr > ChiSq
107 DEC2008 Additive Outlier 4.17065 2.011465 4.30 1 0.0381
117 OCT2009 Additive Outlier 4.06424 2.0088385 4.09 1 0.0431

Residual Diagnostics Panel

 Prediction Error = 7.1904 
 Percent = 0.0317  Prediction Error = 7.1122 
 Percent = 0.0406  Prediction Error = 7.1122 
 Percent = 0.0406  Prediction Error = 7.0339 
 Percent = 0.0517  Prediction Error = 7.0339 
 Percent = 0.0517  Prediction Error = 6.9557 
 Percent = 0.0653  Prediction Error = 6.9557 
 Percent = 0.0653  Prediction Error = 6.8775 
 Percent = 0.082  Prediction Error = 6.8775 
 Percent = 0.082  Prediction Error = 6.7993 
 Percent = 0.1022  Prediction Error = 6.7993 
 Percent = 0.1022  Prediction Error = 6.721 
 Percent = 0.1265  Prediction Error = 6.721 
 Percent = 0.1265  Prediction Error = 6.6428 
 Percent = 0.1556  Prediction Error = 6.6428 
 Percent = 0.1556  Prediction Error = 6.5646 
 Percent = 0.1901  Prediction Error = 6.5646 
 Percent = 0.1901  Prediction Error = 6.4863 
 Percent = 0.2308  Prediction Error = 6.4863 
 Percent = 0.2308  Prediction Error = 6.4081 
 Percent = 0.2784  Prediction Error = 6.4081 
 Percent = 0.2784  Prediction Error = 6.3299 
 Percent = 0.3336  Prediction Error = 6.3299 
 Percent = 0.3336  Prediction Error = 6.2517 
 Percent = 0.3974  Prediction Error = 6.2517 
 Percent = 0.3974  Prediction Error = 6.1734 
 Percent = 0.4705  Prediction Error = 6.1734 
 Percent = 0.4705  Prediction Error = 6.0952 
 Percent = 0.5537  Prediction Error = 6.0952 
 Percent = 0.5537  Prediction Error = 6.017 
 Percent = 0.6478  Prediction Error = 6.017 
 Percent = 0.6478  Prediction Error = 5.9387 
 Percent = 0.7536  Prediction Error = 5.9387 
 Percent = 0.7536  Prediction Error = 5.8605 
 Percent = 0.8717  Prediction Error = 5.8605 
 Percent = 0.8717  Prediction Error = 5.7823 
 Percent = 1.003  Prediction Error = 5.7823 
 Percent = 1.003  Prediction Error = 5.7041 
 Percent = 1.1478  Prediction Error = 5.7041 
 Percent = 1.1478  Prediction Error = 5.6258 
 Percent = 1.3068  Prediction Error = 5.6258 
 Percent = 1.3068  Prediction Error = 5.5476 
 Percent = 1.4804  Prediction Error = 5.5476 
 Percent = 1.4804  Prediction Error = 5.4694 
 Percent = 1.669  Prediction Error = 5.4694 
 Percent = 1.669  Prediction Error = 5.3911 
 Percent = 1.8728  Prediction Error = 5.3911 
 Percent = 1.8728  Prediction Error = 5.3129 
 Percent = 2.0919  Prediction Error = 5.3129 
 Percent = 2.0919  Prediction Error = 5.2347 
 Percent = 2.3266  Prediction Error = 5.2347 
 Percent = 2.3266  Prediction Error = 5.1565 
 Percent = 2.5766  Prediction Error = 5.1565 
 Percent = 2.5766  Prediction Error = 5.0782 
 Percent = 2.842  Prediction Error = 5.0782 
 Percent = 2.842  Prediction Error = 5 
 Percent = 3.1225  Prediction Error = 5 
 Percent = 3.1225  Prediction Error = 4.9218 
 Percent = 3.4177  Prediction Error = 4.9218 
 Percent = 3.4177  Prediction Error = 4.8435 
 Percent = 3.7271  Prediction Error = 4.8435 
 Percent = 3.7271  Prediction Error = 4.7653 
 Percent = 4.0502  Prediction Error = 4.7653 
 Percent = 4.0502  Prediction Error = 4.6871 
 Percent = 4.3861  Prediction Error = 4.6871 
 Percent = 4.3861  Prediction Error = 4.6089 
 Percent = 4.7339  Prediction Error = 4.6089 
 Percent = 4.7339  Prediction Error = 3.983 
 Percent = 7.7574  Prediction Error = 3.983 
 Percent = 7.7574  Prediction Error = 3.8266 
 Percent = 8.4956  Prediction Error = 3.8266 
 Percent = 8.4956  Prediction Error = 3.7483 
 Percent = 8.8457  Prediction Error = 3.7483 
 Percent = 8.8457  Prediction Error = 3.6701 
 Percent = 9.1788  Prediction Error = 3.6701 
 Percent = 9.1788  Prediction Error = 3.5919 
 Percent = 9.4916  Prediction Error = 3.5919 
 Percent = 9.4916  Prediction Error = 3.5137 
 Percent = 9.781  Prediction Error = 3.5137 
 Percent = 9.781  Prediction Error = 3.4354 
 Percent = 10.044  Prediction Error = 3.4354 
 Percent = 10.044  Prediction Error = 3.3572 
 Percent = 10.279  Prediction Error = 3.3572 
 Percent = 10.279  Prediction Error = 3.279 
 Percent = 10.483  Prediction Error = 3.279 
 Percent = 10.483  Prediction Error = 3.2007 
 Percent = 10.656  Prediction Error = 3.2007 
 Percent = 10.656  Prediction Error = 3.1225 
 Percent = 10.796  Prediction Error = 3.1225 
 Percent = 10.796  Prediction Error = 3.0443 
 Percent = 10.903  Prediction Error = 3.0443 
 Percent = 10.903  Prediction Error = 2.9661 
 Percent = 10.979  Prediction Error = 2.9661 
 Percent = 10.979  Prediction Error = 2.8878 
 Percent = 11.024  Prediction Error = 2.8878 
 Percent = 11.024  Prediction Error = 2.8096 
 Percent = 11.04  Prediction Error = 2.8096 
 Percent = 11.04  Prediction Error = 2.7314 
 Percent = 11.031  Prediction Error = 2.7314 
 Percent = 11.031  Prediction Error = 2.6531 
 Percent = 11.001  Prediction Error = 2.6531 
 Percent = 11.001  Prediction Error = 2.5749 
 Percent = 10.952  Prediction Error = 2.5749 
 Percent = 10.952  Prediction Error = 2.4967 
 Percent = 10.889  Prediction Error = 2.4967 
 Percent = 10.889  Prediction Error = 2.262 
 Percent = 10.669  Prediction Error = 2.262 
 Percent = 10.669  Prediction Error = 2.1838 
 Percent = 10.603  Prediction Error = 2.1838 
 Percent = 10.603  Prediction Error = 2.1055 
 Percent = 10.547  Prediction Error = 2.1055 
 Percent = 10.547  Prediction Error = 2.0273 
 Percent = 10.508  Prediction Error = 2.0273 
 Percent = 10.508  Prediction Error = 1.9491 
 Percent = 10.49  Prediction Error = 1.9491 
 Percent = 10.49  Prediction Error = 1.8709 
 Percent = 10.497  Prediction Error = 1.8709 
 Percent = 10.497  Prediction Error = 1.7926 
 Percent = 10.532  Prediction Error = 1.7926 
 Percent = 10.532  Prediction Error = 1.7144 
 Percent = 10.599  Prediction Error = 1.7144 
 Percent = 10.599  Prediction Error = 1.6362 
 Percent = 10.699  Prediction Error = 1.6362 
 Percent = 10.699  Prediction Error = 1.5579 
 Percent = 10.836  Prediction Error = 1.5579 
 Percent = 10.836  Prediction Error = 1.4797 
 Percent = 11.011  Prediction Error = 1.4797 
 Percent = 11.011  Prediction Error = 1.4015 
 Percent = 11.224  Prediction Error = 1.4015 
 Percent = 11.224  Prediction Error = 1.3233 
 Percent = 11.476  Prediction Error = 1.3233 
 Percent = 11.476  Prediction Error = 1.245 
 Percent = 11.767  Prediction Error = 1.245 
 Percent = 11.767  Prediction Error = 1.1668 
 Percent = 12.096  Prediction Error = 1.1668 
 Percent = 12.096  Prediction Error = 1.0886 
 Percent = 12.462  Prediction Error = 1.0886 
 Percent = 12.462  Prediction Error = 1.0103 
 Percent = 12.862  Prediction Error = 1.0103 
 Percent = 12.862  Prediction Error = 0.9321 
 Percent = 13.296  Prediction Error = 0.9321 
 Percent = 13.296  Prediction Error = 0.8539 
 Percent = 13.761  Prediction Error = 0.8539 
 Percent = 13.761  Prediction Error = 0.7756 
 Percent = 14.253  Prediction Error = 0.7756 
 Percent = 14.253  Prediction Error = 0.6974 
 Percent = 14.769  Prediction Error = 0.6974 
 Percent = 14.769  Prediction Error = 0.228 
 Percent = 18.133  Prediction Error = 0.228 
 Percent = 18.133  Prediction Error = 0.0716 
 Percent = 19.234  Prediction Error = 0.0716 
 Percent = 19.234  Prediction Error = -0.007 
 Percent = 19.757  Prediction Error = -0.007 
 Percent = 19.757  Prediction Error = -0.085 
 Percent = 20.253  Prediction Error = -0.085 
 Percent = 20.253  Prediction Error = -0.163 
 Percent = 20.718  Prediction Error = -0.163 
 Percent = 20.718  Prediction Error = -0.241 
 Percent = 21.146  Prediction Error = -0.241 
 Percent = 21.146  Prediction Error = -0.32 
 Percent = 21.534  Prediction Error = -0.32 
 Percent = 21.534  Prediction Error = -0.398 
 Percent = 21.878  Prediction Error = -0.398 
 Percent = 21.878  Prediction Error = -0.476 
 Percent = 22.174  Prediction Error = -0.476 
 Percent = 22.174  Prediction Error = -0.554 
 Percent = 22.419  Prediction Error = -0.554 
 Percent = 22.419  Prediction Error = -0.632 
 Percent = 22.612  Prediction Error = -0.632 
 Percent = 22.612  Prediction Error = -0.711 
 Percent = 22.752  Prediction Error = -0.711 
 Percent = 22.752  Prediction Error = -0.789 
 Percent = 22.838  Prediction Error = -0.789 
 Percent = 22.838  Prediction Error = -0.867 
 Percent = 22.87  Prediction Error = -0.867 
 Percent = 22.87  Prediction Error = -0.945 
 Percent = 22.848  Prediction Error = -0.945 
 Percent = 22.848  Prediction Error = -1.024 
 Percent = 22.774  Prediction Error = -1.024 
 Percent = 22.774  Prediction Error = -1.102 
 Percent = 22.649  Prediction Error = -1.102 
 Percent = 22.649  Prediction Error = -1.18 
 Percent = 22.475  Prediction Error = -1.18 
 Percent = 22.475  Prediction Error = -1.258 
 Percent = 22.253  Prediction Error = -1.258 
 Percent = 22.253  Prediction Error = -1.337 
 Percent = 21.985  Prediction Error = -1.337 
 Percent = 21.985  Prediction Error = -1.415 
 Percent = 21.674  Prediction Error = -1.415 
 Percent = 21.674  Prediction Error = -1.493 
 Percent = 21.322  Prediction Error = -1.493 
 Percent = 21.322  Prediction Error = -1.571 
 Percent = 20.93  Prediction Error = -1.571 
 Percent = 20.93  Prediction Error = -1.649 
 Percent = 20.501  Prediction Error = -1.649 
 Percent = 20.501  Prediction Error = -1.728 
 Percent = 20.035  Prediction Error = -1.728 
 Percent = 20.035  Prediction Error = -1.806 
 Percent = 19.536  Prediction Error = -1.806 
 Percent = 19.536  Prediction Error = -1.884 
 Percent = 19.005  Prediction Error = -1.884 
 Percent = 19.005  Prediction Error = -1.962 
 Percent = 18.443  Prediction Error = -1.962 
 Percent = 18.443  Prediction Error = -2.041 
 Percent = 17.853  Prediction Error = -2.041 
 Percent = 17.853  Prediction Error = -2.119 
 Percent = 17.237  Prediction Error = -2.119 
 Percent = 17.237  Prediction Error = -2.197 
 Percent = 16.596  Prediction Error = -2.197 
 Percent = 16.596  Prediction Error = -2.353 
 Percent = 15.254  Prediction Error = -2.353 
 Percent = 15.254  Prediction Error = -2.745 
 Percent = 11.69  Prediction Error = -2.745 
 Percent = 11.69  Prediction Error = -2.979 
 Percent = 9.5614  Prediction Error = -2.979 
 Percent = 9.5614  Prediction Error = -3.136 
 Percent = 8.2139  Prediction Error = -3.136 
 Percent = 8.2139  Prediction Error = -3.214 
 Percent = 7.5727  Prediction Error = -3.214 
 Percent = 7.5727  Prediction Error = -3.292 
 Percent = 6.9575  Prediction Error = -3.292 
 Percent = 6.9575  Prediction Error = -3.37 
 Percent = 6.3708  Prediction Error = -3.37 
 Percent = 6.3708  Prediction Error = -3.449 
 Percent = 5.815  Prediction Error = -3.449 
 Percent = 5.815  Prediction Error = -3.527 
 Percent = 5.2918  Prediction Error = -3.527 
 Percent = 5.2918  Prediction Error = -3.605 
 Percent = 4.8024  Prediction Error = -3.605 
 Percent = 4.8024  Prediction Error = -3.683 
 Percent = 4.3476  Prediction Error = -3.683 
 Percent = 4.3476  Prediction Error = -3.762 
 Percent = 3.9276  Prediction Error = -3.762 
 Percent = 3.9276  Prediction Error = -3.84 
 Percent = 3.5422  Prediction Error = -3.84 
 Percent = 3.5422  Prediction Error = -3.918 
 Percent = 3.1907  Prediction Error = -3.918 
 Percent = 3.1907  Prediction Error = -3.996 
 Percent = 2.8721  Prediction Error = -3.996 
 Percent = 2.8721  Prediction Error = -4.075 
 Percent = 2.5851  Prediction Error = -4.075 
 Percent = 2.5851  Prediction Error = -4.153 
 Percent = 2.3278  Prediction Error = -4.153 
 Percent = 2.3278  Prediction Error = -4.231 
 Percent = 2.0985  Prediction Error = -4.231 
 Percent = 2.0985  Prediction Error = -4.309 
 Percent = 1.8949  Prediction Error = -4.309 
 Percent = 1.8949  Prediction Error = -4.387 
 Percent = 1.715  Prediction Error = -4.387 
 Percent = 1.715  Prediction Error = -4.466 
 Percent = 1.5564  Prediction Error = -4.466 
 Percent = 1.5564  Prediction Error = -4.544 
 Percent = 1.4168  Prediction Error = -4.544 
 Percent = 1.4168  Prediction Error = -4.622 
 Percent = 1.2939  Prediction Error = -4.622 
 Percent = 1.2939  Prediction Error = -4.7 
 Percent = 1.1857  Prediction Error = -4.7 
 Percent = 1.1857  Prediction Error = -4.779 
 Percent = 1.0901  Prediction Error = -4.779 
 Percent = 1.0901  Prediction Error = -4.857 
 Percent = 1.005  Prediction Error = -4.857 
 Percent = 1.005  Prediction Error = -4.935 
 Percent = 0.9289  Prediction Error = -4.935 
 Percent = 0.9289  Prediction Error = -5.013 
 Percent = 0.8602  Prediction Error = -5.013 
 Percent = 0.8602  Prediction Error = -5.092 
 Percent = 0.7975  Prediction Error = -5.092 
 Percent = 0.7975  Prediction Error = -5.17 
 Percent = 0.7396  Prediction Error = -5.17 
 Percent = 0.7396  Prediction Error = -5.248 
 Percent = 0.6857  Prediction Error = -5.248 
 Percent = 0.6857  Prediction Error = -5.326 
 Percent = 0.635  Prediction Error = -5.326 
 Percent = 0.635  Prediction Error = -5.404 
 Percent = 0.5869  Prediction Error = -5.404 
 Percent = 0.5869  Prediction Error = -5.483 
 Percent = 0.541  Prediction Error = -5.483 
 Percent = 0.541  Prediction Error = -5.561 
 Percent = 0.4971  Prediction Error = -5.561 
 Percent = 0.4971  Prediction Error = -5.639 
 Percent = 0.4549  Prediction Error = -5.639 
 Percent = 0.4549  Prediction Error = -5.717 
 Percent = 0.4144  Prediction Error = -5.717 
 Percent = 0.4144  Prediction Error = -5.796 
 Percent = 0.3756  Prediction Error = -5.796 
 Percent = 0.3756  Prediction Error = -5.874 
 Percent = 0.3387  Prediction Error = -5.874 
 Percent = 0.3387  Prediction Error = -5.952 
 Percent = 0.3036  Prediction Error = -5.952 
 Percent = 0.3036  Prediction Error = -6.03 
 Percent = 0.2705  Prediction Error = -6.03 
 Percent = 0.2705  Prediction Error = -6.108 
 Percent = 0.2394  Prediction Error = -6.108 
 Percent = 0.2394  Prediction Error = -6.187 
 Percent = 0.2106  Prediction Error = -6.187 
 Percent = 0.2106  Prediction Error = -6.265 
 Percent = 0.1839  Prediction Error = -6.265 
 Percent = 0.1839  Prediction Error = -6.343 
 Percent = 0.1595  Prediction Error = -6.343 
 Percent = 0.1595  Prediction Error = -6.421 
 Percent = 0.1373  Prediction Error = -6.421 
 Percent = 0.1373  Prediction Error = -6.5 
 Percent = 0.1174  Prediction Error = -6.5 
 Percent = 0.1174  Prediction Error = -6.578 
 Percent = 0.0996  Prediction Error = -6.578 
 Percent = 0.0996  Prediction Error = -6.656 
 Percent = 0.0839  Prediction Error = -6.656 
 Percent = 0.0839  Prediction Error = -6.734 
 Percent = 0.0701  Prediction Error = -6.734 
 Percent = 0.0701  Prediction Error = -6.813 
 Percent = 0.0581  Prediction Error = -6.813 
 Percent = 0.0581  Prediction Error = -6.891 
 Percent = 0.0478  Prediction Error = -6.891 
 Percent = 0.0478  Prediction Error = -6.969 
 Percent = 0.0391  Prediction Error = -6.969 
 Percent = 0.0391  Prediction Error = -7.047 
 Percent = 0.0317  Prediction Error = -7.047 
 Percent = 0.0317  Prediction Error = -7.125 
 Percent = 0.0254  Prediction Error = -7.125 
 Percent = 0.0254  Prediction Error = -7.204 
 Percent = 0.0203  Prediction Error = 6.537 
 Percent = 0.248  Prediction Error = 6.472 
 Percent = 0.2715  Prediction Error = 6.472 
 Percent = 0.2715  Prediction Error = 6.407 
 Percent = 0.2969  Prediction Error = 6.407 
 Percent = 0.2969  Prediction Error = 6.3421 
 Percent = 0.3244  Prediction Error = 6.3421 
 Percent = 0.3244  Prediction Error = 6.2771 
 Percent = 0.3542  Prediction Error = 6.2771 
 Percent = 0.3542  Prediction Error = 6.2121 
 Percent = 0.3863  Prediction Error = 6.2121 
 Percent = 0.3863  Prediction Error = 6.1471 
 Percent = 0.4209  Prediction Error = 6.1471 
 Percent = 0.4209  Prediction Error = 6.0821 
 Percent = 0.4582  Prediction Error = 6.0821 
 Percent = 0.4582  Prediction Error = 6.0172 
 Percent = 0.4984  Prediction Error = 6.0172 
 Percent = 0.4984  Prediction Error = 5.9522 
 Percent = 0.5416  Prediction Error = 5.9522 
 Percent = 0.5416  Prediction Error = 5.8872 
 Percent = 0.588  Prediction Error = 5.8872 
 Percent = 0.588  Prediction Error = 5.8222 
 Percent = 0.6378  Prediction Error = 5.8222 
 Percent = 0.6378  Prediction Error = 5.7572 
 Percent = 0.6911  Prediction Error = 5.7572 
 Percent = 0.6911  Prediction Error = 5.6923 
 Percent = 0.7482  Prediction Error = 5.6923 
 Percent = 0.7482  Prediction Error = 5.6273 
 Percent = 0.8094  Prediction Error = 5.6273 
 Percent = 0.8094  Prediction Error = 5.5623 
 Percent = 0.8747  Prediction Error = 5.5623 
 Percent = 0.8747  Prediction Error = 5.4973 
 Percent = 0.9444  Prediction Error = 5.4973 
 Percent = 0.9444  Prediction Error = 5.4324 
 Percent = 1.0187  Prediction Error = 5.4324 
 Percent = 1.0187  Prediction Error = 5.3674 
 Percent = 1.0978  Prediction Error = 5.3674 
 Percent = 1.0978  Prediction Error = 5.3024 
 Percent = 1.1821  Prediction Error = 5.3024 
 Percent = 1.1821  Prediction Error = 5.2374 
 Percent = 1.2716  Prediction Error = 5.2374 
 Percent = 1.2716  Prediction Error = 5.1724 
 Percent = 1.3666  Prediction Error = 5.1724 
 Percent = 1.3666  Prediction Error = 5.1075 
 Percent = 1.4675  Prediction Error = 5.1075 
 Percent = 1.4675  Prediction Error = 5.0425 
 Percent = 1.5742  Prediction Error = 5.0425 
 Percent = 1.5742  Prediction Error = 4.9775 
 Percent = 1.6873  Prediction Error = 4.9775 
 Percent = 1.6873  Prediction Error = 4.9125 
 Percent = 1.8067  Prediction Error = 4.9125 
 Percent = 1.8067  Prediction Error = 4.8476 
 Percent = 1.9329  Prediction Error = 4.8476 
 Percent = 1.9329  Prediction Error = 4.7826 
 Percent = 2.0659  Prediction Error = 4.7826 
 Percent = 2.0659  Prediction Error = 4.7176 
 Percent = 2.2061  Prediction Error = 4.7176 
 Percent = 2.2061  Prediction Error = 4.6526 
 Percent = 2.3537  Prediction Error = 4.6526 
 Percent = 2.3537  Prediction Error = 4.5876 
 Percent = 2.5088  Prediction Error = 4.5876 
 Percent = 2.5088  Prediction Error = 4.5227 
 Percent = 2.6717  Prediction Error = 4.5227 
 Percent = 2.6717  Prediction Error = 4.4577 
 Percent = 2.8425  Prediction Error = 4.4577 
 Percent = 2.8425  Prediction Error = 4.3927 
 Percent = 3.0215  Prediction Error = 4.3927 
 Percent = 3.0215  Prediction Error = 4.3277 
 Percent = 3.2088  Prediction Error = 4.3277 
 Percent = 3.2088  Prediction Error = 4.2627 
 Percent = 3.4046  Prediction Error = 4.2627 
 Percent = 3.4046  Prediction Error = 4.1978 
 Percent = 3.609  Prediction Error = 4.1978 
 Percent = 3.609  Prediction Error = 4.1328 
 Percent = 3.8222  Prediction Error = 4.1328 
 Percent = 3.8222  Prediction Error = 4.0678 
 Percent = 4.0443  Prediction Error = 4.0678 
 Percent = 4.0443  Prediction Error = 4.0028 
 Percent = 4.2753  Prediction Error = 4.0028 
 Percent = 4.2753  Prediction Error = 3.9379 
 Percent = 4.5154  Prediction Error = 3.9379 
 Percent = 4.5154  Prediction Error = 3.8729 
 Percent = 4.7646  Prediction Error = 3.8729 
 Percent = 4.7646  Prediction Error = 3.8079 
 Percent = 5.0229  Prediction Error = 3.8079 
 Percent = 5.0229  Prediction Error = 3.7429 
 Percent = 5.2904  Prediction Error = 3.7429 
 Percent = 5.2904  Prediction Error = 3.6779 
 Percent = 5.567  Prediction Error = 3.6779 
 Percent = 5.567  Prediction Error = 3.613 
 Percent = 5.8527  Prediction Error = 3.613 
 Percent = 5.8527  Prediction Error = 3.483 
 Percent = 6.4511  Prediction Error = 3.483 
 Percent = 6.4511  Prediction Error = 3.3531 
 Percent = 7.0845  Prediction Error = 3.3531 
 Percent = 7.0845  Prediction Error = 3.2231 
 Percent = 7.7516  Prediction Error = 3.2231 
 Percent = 7.7516  Prediction Error = 3.0931 
 Percent = 8.4504  Prediction Error = 3.0931 
 Percent = 8.4504  Prediction Error = 2.9632 
 Percent = 9.1785  Prediction Error = 2.9632 
 Percent = 9.1785  Prediction Error = 1.9885 
 Percent = 15.174  Prediction Error = 1.9885 
 Percent = 15.174  Prediction Error = 1.7936 
 Percent = 16.369  Prediction Error = 1.7936 
 Percent = 16.369  Prediction Error = 1.6636 
 Percent = 17.138  Prediction Error = 1.6636 
 Percent = 17.138  Prediction Error = 1.5337 
 Percent = 17.877  Prediction Error = 1.5337 
 Percent = 17.877  Prediction Error = 1.4037 
 Percent = 18.58  Prediction Error = 1.4037 
 Percent = 18.58  Prediction Error = 1.3387 
 Percent = 18.916  Prediction Error = 1.3387 
 Percent = 18.916  Prediction Error = 1.2738 
 Percent = 19.24  Prediction Error = 1.2738 
 Percent = 19.24  Prediction Error = 1.2088 
 Percent = 19.552  Prediction Error = 1.2088 
 Percent = 19.552  Prediction Error = 1.1438 
 Percent = 19.85  Prediction Error = 1.1438 
 Percent = 19.85  Prediction Error = 1.0788 
 Percent = 20.135  Prediction Error = 1.0788 
 Percent = 20.135  Prediction Error = 1.0138 
 Percent = 20.405  Prediction Error = 1.0138 
 Percent = 20.405  Prediction Error = 0.9489 
 Percent = 20.659  Prediction Error = 0.9489 
 Percent = 20.659  Prediction Error = 0.8839 
 Percent = 20.898  Prediction Error = 0.8839 
 Percent = 20.898  Prediction Error = 0.8189 
 Percent = 21.119  Prediction Error = 0.8189 
 Percent = 21.119  Prediction Error = 0.7539 
 Percent = 21.324  Prediction Error = 0.7539 
 Percent = 21.324  Prediction Error = 0.6889 
 Percent = 21.511  Prediction Error = 0.6889 
 Percent = 21.511  Prediction Error = 0.624 
 Percent = 21.679  Prediction Error = 0.624 
 Percent = 21.679  Prediction Error = 0.559 
 Percent = 21.829  Prediction Error = 0.559 
 Percent = 21.829  Prediction Error = 0.494 
 Percent = 21.96  Prediction Error = 0.494 
 Percent = 21.96  Prediction Error = 0.429 
 Percent = 22.071  Prediction Error = 0.429 
 Percent = 22.071  Prediction Error = 0.3641 
 Percent = 22.163  Prediction Error = 0.3641 
 Percent = 22.163  Prediction Error = 0.2991 
 Percent = 22.234  Prediction Error = 0.2991 
 Percent = 22.234  Prediction Error = 0.2341 
 Percent = 22.285  Prediction Error = 0.2341 
 Percent = 22.285  Prediction Error = 0.1691 
 Percent = 22.316  Prediction Error = 0.1691 
 Percent = 22.316  Prediction Error = 0.1041 
 Percent = 22.326  Prediction Error = 0.1041 
 Percent = 22.326  Prediction Error = 0.0392 
 Percent = 22.316  Prediction Error = 0.0392 
 Percent = 22.316  Prediction Error = -0.026 
 Percent = 22.285  Prediction Error = -0.026 
 Percent = 22.285  Prediction Error = -0.091 
 Percent = 22.234  Prediction Error = -0.091 
 Percent = 22.234  Prediction Error = -0.156 
 Percent = 22.163  Prediction Error = -0.156 
 Percent = 22.163  Prediction Error = -0.221 
 Percent = 22.071  Prediction Error = -0.221 
 Percent = 22.071  Prediction Error = -0.286 
 Percent = 21.96  Prediction Error = -0.286 
 Percent = 21.96  Prediction Error = -0.351 
 Percent = 21.829  Prediction Error = -0.351 
 Percent = 21.829  Prediction Error = -0.416 
 Percent = 21.679  Prediction Error = -0.416 
 Percent = 21.679  Prediction Error = -0.481 
 Percent = 21.511  Prediction Error = -0.481 
 Percent = 21.511  Prediction Error = -0.546 
 Percent = 21.324  Prediction Error = -0.546 
 Percent = 21.324  Prediction Error = -0.611 
 Percent = 21.119  Prediction Error = -0.611 
 Percent = 21.119  Prediction Error = -0.676 
 Percent = 20.898  Prediction Error = -0.676 
 Percent = 20.898  Prediction Error = -0.741 
 Percent = 20.659  Prediction Error = -0.741 
 Percent = 20.659  Prediction Error = -0.806 
 Percent = 20.405  Prediction Error = -0.806 
 Percent = 20.405  Prediction Error = -0.871 
 Percent = 20.135  Prediction Error = -0.871 
 Percent = 20.135  Prediction Error = -0.936 
 Percent = 19.85  Prediction Error = -0.936 
 Percent = 19.85  Prediction Error = -1 
 Percent = 19.552  Prediction Error = -1 
 Percent = 19.552  Prediction Error = -1.065 
 Percent = 19.24  Prediction Error = -1.065 
 Percent = 19.24  Prediction Error = -1.13 
 Percent = 18.916  Prediction Error = -1.13 
 Percent = 18.916  Prediction Error = -1.195 
 Percent = 18.58  Prediction Error = -1.195 
 Percent = 18.58  Prediction Error = -1.325 
 Percent = 17.877  Prediction Error = -1.325 
 Percent = 17.877  Prediction Error = -1.455 
 Percent = 17.138  Prediction Error = -1.455 
 Percent = 17.138  Prediction Error = -2.235 
 Percent = 12.314  Prediction Error = -2.235 
 Percent = 12.314  Prediction Error = -2.495 
 Percent = 10.709  Prediction Error = -2.495 
 Percent = 10.709  Prediction Error = -2.69 
 Percent = 9.5525  Prediction Error = -2.69 
 Percent = 9.5525  Prediction Error = -2.82 
 Percent = 8.811  Prediction Error = -2.82 
 Percent = 8.811  Prediction Error = -2.95 
 Percent = 8.0972  Prediction Error = -2.95 
 Percent = 8.0972  Prediction Error = -3.08 
 Percent = 7.4139  Prediction Error = -3.08 
 Percent = 7.4139  Prediction Error = -3.21 
 Percent = 6.7635  Prediction Error = -3.21 
 Percent = 6.7635  Prediction Error = -3.34 
 Percent = 6.1474  Prediction Error = -3.34 
 Percent = 6.1474  Prediction Error = -3.405 
 Percent = 5.8527  Prediction Error = -3.405 
 Percent = 5.8527  Prediction Error = -3.47 
 Percent = 5.567  Prediction Error = -3.47 
 Percent = 5.567  Prediction Error = -3.535 
 Percent = 5.2904  Prediction Error = -3.535 
 Percent = 5.2904  Prediction Error = -3.6 
 Percent = 5.0229  Prediction Error = -3.6 
 Percent = 5.0229  Prediction Error = -3.665 
 Percent = 4.7646  Prediction Error = -3.665 
 Percent = 4.7646  Prediction Error = -3.73 
 Percent = 4.5154  Prediction Error = -3.73 
 Percent = 4.5154  Prediction Error = -3.795 
 Percent = 4.2753  Prediction Error = -3.795 
 Percent = 4.2753  Prediction Error = -3.86 
 Percent = 4.0443  Prediction Error = -3.86 
 Percent = 4.0443  Prediction Error = -3.925 
 Percent = 3.8222  Prediction Error = -3.925 
 Percent = 3.8222  Prediction Error = -3.989 
 Percent = 3.609  Prediction Error = -3.989 
 Percent = 3.609  Prediction Error = -4.054 
 Percent = 3.4046  Prediction Error = -4.054 
 Percent = 3.4046  Prediction Error = -4.119 
 Percent = 3.2088  Prediction Error = -4.119 
 Percent = 3.2088  Prediction Error = -4.184 
 Percent = 3.0215  Prediction Error = -4.184 
 Percent = 3.0215  Prediction Error = -4.249 
 Percent = 2.8425  Prediction Error = -4.249 
 Percent = 2.8425  Prediction Error = -4.314 
 Percent = 2.6717  Prediction Error = -4.314 
 Percent = 2.6717  Prediction Error = -4.379 
 Percent = 2.5088  Prediction Error = -4.379 
 Percent = 2.5088  Prediction Error = -4.444 
 Percent = 2.3537  Prediction Error = -4.444 
 Percent = 2.3537  Prediction Error = -4.509 
 Percent = 2.2061  Prediction Error = -4.509 
 Percent = 2.2061  Prediction Error = -4.574 
 Percent = 2.0659  Prediction Error = -4.574 
 Percent = 2.0659  Prediction Error = -4.639 
 Percent = 1.9329  Prediction Error = -4.639 
 Percent = 1.9329  Prediction Error = -4.704 
 Percent = 1.8067  Prediction Error = -4.704 
 Percent = 1.8067  Prediction Error = -4.769 
 Percent = 1.6873  Prediction Error = -4.769 
 Percent = 1.6873  Prediction Error = -4.834 
 Percent = 1.5742  Prediction Error = -4.834 
 Percent = 1.5742  Prediction Error = -4.899 
 Percent = 1.4675  Prediction Error = -4.899 
 Percent = 1.4675  Prediction Error = -4.964 
 Percent = 1.3666  Prediction Error = -4.964 
 Percent = 1.3666  Prediction Error = -5.029 
 Percent = 1.2716  Prediction Error = -5.029 
 Percent = 1.2716  Prediction Error = -5.094 
 Percent = 1.1821  Prediction Error = -5.094 
 Percent = 1.1821  Prediction Error = -5.159 
 Percent = 1.0978  Prediction Error = -5.159 
 Percent = 1.0978  Prediction Error = -5.224 
 Percent = 1.0187  Prediction Error = -5.224 
 Percent = 1.0187  Prediction Error = -5.289 
 Percent = 0.9444  Prediction Error = -5.289 
 Percent = 0.9444  Prediction Error = -5.354 
 Percent = 0.8747  Prediction Error = -5.354 
 Percent = 0.8747  Prediction Error = -5.419 
 Percent = 0.8094  Prediction Error = -5.419 
 Percent = 0.8094  Prediction Error = -5.484 
 Percent = 0.7482  Prediction Error = -5.484 
 Percent = 0.7482  Prediction Error = -5.549 
 Percent = 0.6911  Prediction Error = -5.549 
 Percent = 0.6911  Prediction Error = -5.614 
 Percent = 0.6378  Prediction Error = -5.614 
 Percent = 0.6378  Prediction Error = -5.679 
 Percent = 0.588  Prediction Error = -5.679 
 Percent = 0.588  Prediction Error = -5.744 
 Percent = 0.5416  Prediction Error = -5.744 
 Percent = 0.5416  Prediction Error = -5.809 
 Percent = 0.4984  Prediction Error = -5.809 
 Percent = 0.4984  Prediction Error = -5.874 
 Percent = 0.4582  Prediction Error = -5.874 
 Percent = 0.4582  Prediction Error = -5.939 
 Percent = 0.4209  Prediction Error = -5.939 
 Percent = 0.4209  Prediction Error = -6.004 
 Percent = 0.3863  Prediction Error = -6.004 
 Percent = 0.3863  Prediction Error = -6.069 
 Percent = 0.3542  Prediction Error = -6.069 
 Percent = 0.3542  Prediction Error = -6.134 
 Percent = 0.3244  Prediction Error = -6.134 
 Percent = 0.3244  Prediction Error = -6.199 
 Percent = 0.2969  Prediction Error = -6.199 
 Percent = 0.2969  Prediction Error = -6.264 
 Percent = 0.2715  Prediction Error = -6.264 
 Percent = 0.2715  Prediction Error = -6.329 
 Percent = 0.248  Prediction Error = 4.8 
 Percent = 3.1111  Prediction Error = 4.8 
 Percent = 3.1111  Prediction Error = 3.6 
 Percent = 10.222  Prediction Error = 3.6 
 Percent = 10.222  Prediction Error = 2.4 
 Percent = 11.556  Prediction Error = 2.4 
 Percent = 11.556  Prediction Error = 1.2 
 Percent = 10.222  Prediction Error = 1.2 
 Percent = 10.222  Prediction Error = 0 
 Percent = 20.444  Prediction Error = 0 
 Percent = 20.444  Prediction Error = -1.2 
 Percent = 24.444  Prediction Error = -1.2 
 Percent = 24.444  Prediction Error = -2.4 
 Percent = 16.444  Prediction Error = -2.4 
 Percent = 16.444  Prediction Error = -3.6 
 Percent = 2.6667  Prediction Error = -3.6 
 Percent = 2.6667  Prediction Error = -4.8 
 Percent = 0.8889  Prediction Error = -4.8 
 Percent = 0.8889  Quantile = 2.7733 
 Residual = 5  Quantile = 2.4464 
 Residual = 4.9903  Quantile = 2.2684 
 Residual = 4.5423  Quantile = 2.1421 
 Residual = 4.5378  Quantile = 2.0429 
 Residual = 4.5186  Quantile = 1.9604 
 Residual = 4.5084  Quantile = 1.8895 
 Residual = 4.372  Quantile = 1.827 
 Residual = 4.1367  Quantile = 1.7709 
 Residual = 4.0404  Quantile = 1.7198 
 Residual = 3.9981  Quantile = 1.6729 
 Residual = 3.9526  Quantile = 1.6294 
 Residual = 3.8486  Quantile = 1.5888 
 Residual = 3.779  Quantile = 1.5507 
 Residual = 3.6754  Quantile = 1.5147 
 Residual = 3.6318  Quantile = 1.4805 
 Residual = 3.5819  Quantile = 1.448 
 Residual = 3.4986  Quantile = 1.417 
 Residual = 3.46  Quantile = 1.3872 
 Residual = 3.4525  Quantile = 1.3587 
 Residual = 3.3793  Quantile = 1.3312 
 Residual = 3.3231  Quantile = 1.3047 
 Residual = 3.3212  Quantile = 1.279 
 Residual = 3.3134  Quantile = 1.2542 
 Residual = 3.2237  Quantile = 1.2301 
 Residual = 3.175  Quantile = 1.2068 
 Residual = 3.1546  Quantile = 1.184 
 Residual = 3.0818  Quantile = 1.1619 
 Residual = 3.0597  Quantile = 1.1403 
 Residual = 3.0543  Quantile = 1.1192 
 Residual = 3.0216  Quantile = 1.0987 
 Residual = 2.9985  Quantile = 1.0785 
 Residual = 2.998  Quantile = 1.0588 
 Residual = 2.9937  Quantile = 1.0395 
 Residual = 2.9648  Quantile = 1.0206 
 Residual = 2.9539  Quantile = 1.0021 
 Residual = 2.9271  Quantile = 0.9838 
 Residual = 2.909  Quantile = 0.9659 
 Residual = 2.8767  Quantile = 0.9483 
 Residual = 2.8447  Quantile = 0.931 
 Residual = 2.7865  Quantile = 0.914 
 Residual = 2.7425  Quantile = 0.8972 
 Residual = 2.679  Quantile = 0.8807 
 Residual = 2.6078  Quantile = 0.8644 
 Residual = 2.6035  Quantile = 0.8484 
 Residual = 2.5833  Quantile = 0.8325 
 Residual = 2.5353  Quantile = 0.8169 
 Residual = 2.4999  Quantile = 0.8015 
 Residual = 2.4482  Quantile = 0.7862 
 Residual = 2.4472  Quantile = 0.7711 
 Residual = 2.258  Quantile = 0.7562 
 Residual = 2.212  Quantile = 0.7415 
 Residual = 2.0058  Quantile = 0.7269 
 Residual = 1.9942  Quantile = 0.7125 
 Residual = 1.9369  Quantile = 0.6983 
 Residual = 1.8528  Quantile = 0.6841 
 Residual = 1.8059  Quantile = 0.6701 
 Residual = 1.7689  Quantile = 0.6563 
 Residual = 1.7554  Quantile = 0.6425 
 Residual = 1.6883  Quantile = 0.6289 
 Residual = 1.6125  Quantile = 0.6154 
 Residual = 1.4973  Quantile = 0.602 
 Residual = 1.477  Quantile = 0.5887 
 Residual = 1.4247  Quantile = 0.5755 
 Residual = 1.2145  Quantile = 0.5625 
 Residual = 1.126  Quantile = 0.5495 
 Residual = 1.1078  Quantile = 0.5366 
 Residual = 1.1002  Quantile = 0.5238 
 Residual = 1.0021  Quantile = 0.511 
 Residual = 0.9945  Quantile = 0.4984 
 Residual = 0.9844  Quantile = 0.4858 
 Residual = 0.8879  Quantile = 0.4734 
 Residual = 0.8271  Quantile = 0.4609 
 Residual = 0.8251  Quantile = 0.4486 
 Residual = 0.7498  Quantile = 0.4363 
 Residual = 0.6951  Quantile = 0.4241 
 Residual = 0.6893  Quantile = 0.412 
 Residual = 0.6493  Quantile = 0.3999 
 Residual = 0.6492  Quantile = 0.3879 
 Residual = 0.6173  Quantile = 0.3759 
 Residual = 0.5872  Quantile = 0.364 
 Residual = 0.5097  Quantile = 0.3521 
 Residual = 0.5085  Quantile = 0.3403 
 Residual = 0.5019  Quantile = 0.3285 
 Residual = 0.4638  Quantile = 0.3168 
 Residual = 0.429  Quantile = 0.3051 
 Residual = 0.4028  Quantile = 0.2935 
 Residual = 0.3579  Quantile = 0.2819 
 Residual = 0.3533  Quantile = 0.2703 
 Residual = 0.1507  Quantile = 0.2588 
 Residual = 0.0262  Quantile = 0.2473 
 Residual = 0.0187  Quantile = 0.2359 
 Residual = 0.0152  Quantile = 0.2244 
 Residual = 0.0116  Quantile = 0.213 
 Residual = 0.0053  Quantile = 0.2017 
 Residual = 0.0015  Quantile = 0.1903 
 Residual = -0.002  Quantile = 0.179 
 Residual = -0.002  Quantile = 0.1677 
 Residual = -0.003  Quantile = 0.1564 
 Residual = -0.004  Quantile = 0.1452 
 Residual = -0.007  Quantile = 0.1339 
 Residual = -0.015  Quantile = 0.1227 
 Residual = -0.031  Quantile = 0.1115 
 Residual = -0.08  Quantile = 0.1003 
 Residual = -0.116  Quantile = 0.0891 
 Residual = -0.19  Quantile = 0.078 
 Residual = -0.256  Quantile = 0.0668 
 Residual = -0.309  Quantile = 0.0557 
 Residual = -0.314  Quantile = 0.0445 
 Residual = -0.33  Quantile = 0.0334 
 Residual = -0.377  Quantile = 0.0223 
 Residual = -0.384  Quantile = 0.0111 
 Residual = -0.404  Quantile = 0 
 Residual = -0.466  Quantile = -0.011 
 Residual = -0.47  Quantile = -0.022 
 Residual = -0.493  Quantile = -0.033 
 Residual = -0.499  Quantile = -0.045 
 Residual = -0.509  Quantile = -0.056 
 Residual = -0.516  Quantile = -0.067 
 Residual = -0.538  Quantile = -0.078 
 Residual = -0.551  Quantile = -0.089 
 Residual = -0.552  Quantile = -0.1 
 Residual = -0.554  Quantile = -0.112 
 Residual = -0.563  Quantile = -0.123 
 Residual = -0.58  Quantile = -0.134 
 Residual = -0.586  Quantile = -0.145 
 Residual = -0.606  Quantile = -0.156 
 Residual = -0.609  Quantile = -0.168 
 Residual = -0.61  Quantile = -0.179 
 Residual = -0.613  Quantile = -0.19 
 Residual = -0.625  Quantile = -0.202 
 Residual = -0.639  Quantile = -0.213 
 Residual = -0.662  Quantile = -0.224 
 Residual = -0.688  Quantile = -0.236 
 Residual = -0.689  Quantile = -0.247 
 Residual = -0.69  Quantile = -0.259 
 Residual = -0.699  Quantile = -0.27 
 Residual = -0.701  Quantile = -0.282 
 Residual = -0.709  Quantile = -0.293 
 Residual = -0.751  Quantile = -0.305 
 Residual = -0.819  Quantile = -0.317 
 Residual = -0.822  Quantile = -0.329 
 Residual = -0.851  Quantile = -0.34 
 Residual = -0.855  Quantile = -0.352 
 Residual = -0.866  Quantile = -0.364 
 Residual = -0.887  Quantile = -0.376 
 Residual = -0.888  Quantile = -0.388 
 Residual = -0.928  Quantile = -0.4 
 Residual = -0.952  Quantile = -0.412 
 Residual = -0.963  Quantile = -0.424 
 Residual = -0.972  Quantile = -0.436 
 Residual = -1.023  Quantile = -0.449 
 Residual = -1.036  Quantile = -0.461 
 Residual = -1.048  Quantile = -0.473 
 Residual = -1.084  Quantile = -0.486 
 Residual = -1.104  Quantile = -0.498 
 Residual = -1.212  Quantile = -0.511 
 Residual = -1.262  Quantile = -0.524 
 Residual = -1.301  Quantile = -0.537 
 Residual = -1.318  Quantile = -0.549 
 Residual = -1.334  Quantile = -0.562 
 Residual = -1.342  Quantile = -0.576 
 Residual = -1.354  Quantile = -0.589 
 Residual = -1.382  Quantile = -0.602 
 Residual = -1.402  Quantile = -0.615 
 Residual = -1.421  Quantile = -0.629 
 Residual = -1.443  Quantile = -0.643 
 Residual = -1.471  Quantile = -0.656 
 Residual = -1.486  Quantile = -0.67 
 Residual = -1.49  Quantile = -0.684 
 Residual = -1.496  Quantile = -0.698 
 Residual = -1.517  Quantile = -0.713 
 Residual = -1.521  Quantile = -0.727 
 Residual = -1.579  Quantile = -0.742 
 Residual = -1.619  Quantile = -0.756 
 Residual = -1.667  Quantile = -0.771 
 Residual = -1.672  Quantile = -0.786 
 Residual = -1.729  Quantile = -0.801 
 Residual = -1.74  Quantile = -0.817 
 Residual = -1.779  Quantile = -0.833 
 Residual = -1.787  Quantile = -0.848 
 Residual = -1.825  Quantile = -0.864 
 Residual = -1.843  Quantile = -0.881 
 Residual = -1.846  Quantile = -0.897 
 Residual = -1.848  Quantile = -0.914 
 Residual = -1.886  Quantile = -0.931 
 Residual = -1.913  Quantile = -0.948 
 Residual = -1.958  Quantile = -0.966 
 Residual = -1.97  Quantile = -0.984 
 Residual = -1.99  Quantile = -1.002 
 Residual = -2.002  Quantile = -1.021 
 Residual = -2.101  Quantile = -1.04 
 Residual = -2.106  Quantile = -1.059 
 Residual = -2.151  Quantile = -1.079 
 Residual = -2.162  Quantile = -1.099 
 Residual = -2.165  Quantile = -1.119 
 Residual = -2.174  Quantile = -1.14 
 Residual = -2.188  Quantile = -1.162 
 Residual = -2.203  Quantile = -1.184 
 Residual = -2.22  Quantile = -1.207 
 Residual = -2.244  Quantile = -1.23 
 Residual = -2.246  Quantile = -1.254 
 Residual = -2.305  Quantile = -1.279 
 Residual = -2.313  Quantile = -1.305 
 Residual = -2.33  Quantile = -1.331 
 Residual = -2.366  Quantile = -1.359 
 Residual = -2.373  Quantile = -1.387 
 Residual = -2.495  Quantile = -1.417 
 Residual = -2.506  Quantile = -1.448 
 Residual = -2.509  Quantile = -1.481 
 Residual = -2.562  Quantile = -1.515 
 Residual = -2.575  Quantile = -1.551 
 Residual = -2.607  Quantile = -1.589 
 Residual = -2.744  Quantile = -1.629 
 Residual = -2.753  Quantile = -1.673 
 Residual = -2.78  Quantile = -1.72 
 Residual = -2.83  Quantile = -1.771 
 Residual = -2.993  Quantile = -1.827 
 Residual = -3.006  Quantile = -1.89 
 Residual = -3.012  Quantile = -1.96 
 Residual = -3.015  Quantile = -2.043 
 Residual = -3.304  Quantile = -2.142 
 Residual = -3.501  Quantile = -2.268 
 Residual = -3.989  Quantile = -2.446 
 Residual = -5.01  Quantile = -2.773 
 Residual = -5.013  Slope = 2.1443 
 Y = 0.1041  Lag = 24 
 ACF = 0.0274  Lag = 23 
 ACF = -0.051  Lag = 22 
 ACF = 0.0167  Lag = 21 
 ACF = 0.0087  Lag = 20 
 ACF = 0.0397  Lag = 19 
 ACF = -0.037  Lag = 18 
 ACF = 0.051  Lag = 17 
 ACF = 0.0485  Lag = 16 
 ACF = 0.0472  Lag = 15 
 ACF = -0.034  Lag = 14 
 ACF = -0.04  Lag = 13 
 ACF = -0.002  Lag = 12 
 ACF = -47E-5  Lag = 11 
 ACF = -0.025  Lag = 10 
 ACF = -0.029  Lag = 9 
 ACF = 0.012  Lag = 8 
 ACF = -0.07  Lag = 7 
 ACF = -0.035  Lag = 6 
 ACF = 0.0796  Lag = 5 
 ACF = 0.0068  Lag = 4 
 ACF = 0.0322  Lag = 3 
 ACF = 0.01  Lag = 2 
 ACF = -0.101  Lag = 1 
 ACF = 0.0682  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.139 
 Upper = 0.1393  Lag = 23 
 Lower = -0.139 
 Upper = 0.139  Lag = 23 
 Lower = -0.139 
 Upper = 0.139  Lag = 22 
 Lower = -0.139 
 Upper = 0.139  Lag = 22 
 Lower = -0.139 
 Upper = 0.139  Lag = 21 
 Lower = -0.139 
 Upper = 0.1389  Lag = 21 
 Lower = -0.139 
 Upper = 0.1389  Lag = 20 
 Lower = -0.139 
 Upper = 0.1387  Lag = 20 
 Lower = -0.139 
 Upper = 0.1387  Lag = 19 
 Lower = -0.139 
 Upper = 0.1386  Lag = 19 
 Lower = -0.139 
 Upper = 0.1386  Lag = 18 
 Lower = -0.138 
 Upper = 0.1382  Lag = 18 
 Lower = -0.138 
 Upper = 0.1382  Lag = 17 
 Lower = -0.138 
 Upper = 0.1379  Lag = 17 
 Lower = -0.138 
 Upper = 0.1379  Lag = 16 
 Lower = -0.138 
 Upper = 0.1376  Lag = 16 
 Lower = -0.138 
 Upper = 0.1376  Lag = 15 
 Lower = -0.138 
 Upper = 0.1375  Lag = 15 
 Lower = -0.138 
 Upper = 0.1375  Lag = 14 
 Lower = -0.137 
 Upper = 0.1373  Lag = 14 
 Lower = -0.137 
 Upper = 0.1373  Lag = 13 
 Lower = -0.137 
 Upper = 0.1373  Lag = 13 
 Lower = -0.137 
 Upper = 0.1373  Lag = 12 
 Lower = -0.137 
 Upper = 0.1373  Lag = 12 
 Lower = -0.137 
 Upper = 0.1373  Lag = 11 
 Lower = -0.137 
 Upper = 0.1372  Lag = 11 
 Lower = -0.137 
 Upper = 0.1372  Lag = 10 
 Lower = -0.137 
 Upper = 0.1371  Lag = 10 
 Lower = -0.137 
 Upper = 0.1371  Lag = 9 
 Lower = -0.137 
 Upper = 0.1371  Lag = 9 
 Lower = -0.137 
 Upper = 0.1371  Lag = 8 
 Lower = -0.136 
 Upper = 0.1364  Lag = 8 
 Lower = -0.136 
 Upper = 0.1364  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 6 
 Lower = -0.135 
 Upper = 0.1355  Lag = 6 
 Lower = -0.135 
 Upper = 0.1355  Lag = 5 
 Lower = -0.135 
 Upper = 0.1355  Lag = 5 
 Lower = -0.135 
 Upper = 0.1355  Lag = 4 
 Lower = -0.135 
 Upper = 0.1353  Lag = 4 
 Lower = -0.135 
 Upper = 0.1353  Lag = 3 
 Lower = -0.135 
 Upper = 0.1353  Lag = 3 
 Lower = -0.135 
 Upper = 0.1353  Lag = 2 
 Lower = -0.134 
 Upper = 0.134  Lag = 2 
 Lower = -0.134 
 Upper = 0.134  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0355  Lag = 23 
 PACF = -0.061  Lag = 22 
 PACF = 0.009  Lag = 21 
 PACF = -0.01  Lag = 20 
 PACF = 0.0574  Lag = 19 
 PACF = -0.038  Lag = 18 
 PACF = 0.0537  Lag = 17 
 PACF = 0.0382  Lag = 16 
 PACF = 0.0507  Lag = 15 
 PACF = -0.035  Lag = 14 
 PACF = -0.03  Lag = 13 
 PACF = 0.0013  Lag = 12 
 PACF = -0.008  Lag = 11 
 PACF = -0.013  Lag = 10 
 PACF = -0.048  Lag = 9 
 PACF = 0.0101  Lag = 8 
 PACF = -0.048  Lag = 7 
 PACF = -0.049  Lag = 6 
 PACF = 0.0851  Lag = 5 
 PACF = 0.0065  Lag = 4 
 PACF = 0.0191  Lag = 3 
 PACF = 0.0253  Lag = 2 
 PACF = -0.106  Lag = 1 
 PACF = 0.0682  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Oct2019 
 Loess Fit = 0.4789  Date_of_death = Aug2019 
 Loess Fit = 0.4738  Date_of_death = Aug2019 
 Loess Fit = 0.4738  Date_of_death = Jul2019 
 Loess Fit = 0.4686  Date_of_death = Jul2019 
 Loess Fit = 0.4686  Date_of_death = Jun2019 
 Loess Fit = 0.4635  Date_of_death = Jun2019 
 Loess Fit = 0.4635  Date_of_death = May2019 
 Loess Fit = 0.4584  Date_of_death = May2019 
 Loess Fit = 0.4584  Date_of_death = Apr2019 
 Loess Fit = 0.4532  Date_of_death = Apr2019 
 Loess Fit = 0.4532  Date_of_death = Mar2019 
 Loess Fit = 0.4481  Date_of_death = Mar2019 
 Loess Fit = 0.4481  Date_of_death = Feb2019 
 Loess Fit = 0.443  Date_of_death = Feb2019 
 Loess Fit = 0.443  Date_of_death = Jan2019 
 Loess Fit = 0.4378  Date_of_death = Jan2019 
 Loess Fit = 0.4378  Date_of_death = Nov2018 
 Loess Fit = 0.4327  Date_of_death = Nov2018 
 Loess Fit = 0.4327  Date_of_death = Oct2018 
 Loess Fit = 0.4276  Date_of_death = Oct2018 
 Loess Fit = 0.4276  Date_of_death = Sep2018 
 Loess Fit = 0.4224  Date_of_death = Sep2018 
 Loess Fit = 0.4224  Date_of_death = Aug2018 
 Loess Fit = 0.4173  Date_of_death = Aug2018 
 Loess Fit = 0.4173  Date_of_death = Jul2018 
 Loess Fit = 0.4122  Date_of_death = Jul2018 
 Loess Fit = 0.4122  Date_of_death = Jun2018 
 Loess Fit = 0.407  Date_of_death = Jun2018 
 Loess Fit = 0.407  Date_of_death = May2018 
 Loess Fit = 0.4019  Date_of_death = May2018 
 Loess Fit = 0.4019  Date_of_death = Apr2018 
 Loess Fit = 0.3968  Date_of_death = Apr2018 
 Loess Fit = 0.3968  Date_of_death = Feb2018 
 Loess Fit = 0.3916  Date_of_death = Feb2018 
 Loess Fit = 0.3916  Date_of_death = Jan2018 
 Loess Fit = 0.3865  Date_of_death = Jan2018 
 Loess Fit = 0.3865  Date_of_death = Dec2017 
 Loess Fit = 0.3814  Date_of_death = Dec2017 
 Loess Fit = 0.3814  Date_of_death = Nov2017 
 Loess Fit = 0.3762  Date_of_death = Nov2017 
 Loess Fit = 0.3762  Date_of_death = Oct2017 
 Loess Fit = 0.3711  Date_of_death = Oct2017 
 Loess Fit = 0.3711  Date_of_death = Sep2017 
 Loess Fit = 0.366  Date_of_death = Sep2017 
 Loess Fit = 0.366  Date_of_death = Aug2017 
 Loess Fit = 0.3608  Date_of_death = Aug2017 
 Loess Fit = 0.3608  Date_of_death = Jul2017 
 Loess Fit = 0.3557  Date_of_death = Jul2017 
 Loess Fit = 0.3557  Date_of_death = Jun2017 
 Loess Fit = 0.3506  Date_of_death = Jun2017 
 Loess Fit = 0.3506  Date_of_death = Apr2017 
 Loess Fit = 0.3462  Date_of_death = Apr2017 
 Loess Fit = 0.3462  Date_of_death = Mar2017 
 Loess Fit = 0.3418  Date_of_death = Mar2017 
 Loess Fit = 0.3418  Date_of_death = Feb2017 
 Loess Fit = 0.3374  Date_of_death = Feb2017 
 Loess Fit = 0.3374  Date_of_death = Jan2017 
 Loess Fit = 0.333  Date_of_death = Jan2017 
 Loess Fit = 0.333  Date_of_death = Dec2016 
 Loess Fit = 0.3286  Date_of_death = Dec2016 
 Loess Fit = 0.3286  Date_of_death = Nov2016 
 Loess Fit = 0.3242  Date_of_death = Nov2016 
 Loess Fit = 0.3242  Date_of_death = Oct2016 
 Loess Fit = 0.3198  Date_of_death = Oct2016 
 Loess Fit = 0.3198  Date_of_death = Sep2016 
 Loess Fit = 0.3154  Date_of_death = Sep2016 
 Loess Fit = 0.3154  Date_of_death = Jul2016 
 Loess Fit = 0.311  Date_of_death = Jul2016 
 Loess Fit = 0.311  Date_of_death = Jun2016 
 Loess Fit = 0.3066  Date_of_death = Jun2016 
 Loess Fit = 0.3066  Date_of_death = May2016 
 Loess Fit = 0.3021  Date_of_death = May2016 
 Loess Fit = 0.3021  Date_of_death = Apr2016 
 Loess Fit = 0.2977  Date_of_death = Apr2016 
 Loess Fit = 0.2977  Date_of_death = Mar2016 
 Loess Fit = 0.2933  Date_of_death = Mar2016 
 Loess Fit = 0.2933  Date_of_death = Feb2016 
 Loess Fit = 0.2889  Date_of_death = Feb2016 
 Loess Fit = 0.2889  Date_of_death = Jan2016 
 Loess Fit = 0.2845  Date_of_death = Jan2016 
 Loess Fit = 0.2845  Date_of_death = Dec2015 
 Loess Fit = 0.2801  Date_of_death = Dec2015 
 Loess Fit = 0.2801  Date_of_death = Oct2015 
 Loess Fit = 0.2757  Date_of_death = Oct2015 
 Loess Fit = 0.2757  Date_of_death = Sep2015 
 Loess Fit = 0.2713  Date_of_death = Sep2015 
 Loess Fit = 0.2713  Date_of_death = Aug2015 
 Loess Fit = 0.2669  Date_of_death = Aug2015 
 Loess Fit = 0.2669  Date_of_death = Jul2015 
 Loess Fit = 0.2625  Date_of_death = Jul2015 
 Loess Fit = 0.2625  Date_of_death = Jun2015 
 Loess Fit = 0.2581  Date_of_death = Jun2015 
 Loess Fit = 0.2581  Date_of_death = May2015 
 Loess Fit = 0.2537  Date_of_death = May2015 
 Loess Fit = 0.2537  Date_of_death = Apr2015 
 Loess Fit = 0.2493  Date_of_death = Apr2015 
 Loess Fit = 0.2493  Date_of_death = Mar2015 
 Loess Fit = 0.2449  Date_of_death = Mar2015 
 Loess Fit = 0.2449  Date_of_death = Jan2015 
 Loess Fit = 0.2405  Date_of_death = Jan2015 
 Loess Fit = 0.2405  Date_of_death = Dec2014 
 Loess Fit = 0.2364  Date_of_death = Dec2014 
 Loess Fit = 0.2364  Date_of_death = Nov2014 
 Loess Fit = 0.2323  Date_of_death = Nov2014 
 Loess Fit = 0.2323  Date_of_death = Oct2014 
 Loess Fit = 0.2282  Date_of_death = Oct2014 
 Loess Fit = 0.2282  Date_of_death = Sep2014 
 Loess Fit = 0.2241  Date_of_death = Sep2014 
 Loess Fit = 0.2241  Date_of_death = Aug2014 
 Loess Fit = 0.22  Date_of_death = Aug2014 
 Loess Fit = 0.22  Date_of_death = Jul2014 
 Loess Fit = 0.2159  Date_of_death = Jul2014 
 Loess Fit = 0.2159  Date_of_death = Jun2014 
 Loess Fit = 0.2118  Date_of_death = Jun2014 
 Loess Fit = 0.2118  Date_of_death = May2014 
 Loess Fit = 0.2077  Date_of_death = May2014 
 Loess Fit = 0.2077  Date_of_death = Mar2014 
 Loess Fit = 0.2036  Date_of_death = Mar2014 
 Loess Fit = 0.2036  Date_of_death = Feb2014 
 Loess Fit = 0.1995  Date_of_death = Feb2014 
 Loess Fit = 0.1995  Date_of_death = Jan2014 
 Loess Fit = 0.1954  Date_of_death = Jan2014 
 Loess Fit = 0.1954  Date_of_death = Dec2013 
 Loess Fit = 0.1913  Date_of_death = Dec2013 
 Loess Fit = 0.1913  Date_of_death = Nov2013 
 Loess Fit = 0.1871  Date_of_death = Nov2013 
 Loess Fit = 0.1871  Date_of_death = Oct2013 
 Loess Fit = 0.183  Date_of_death = Oct2013 
 Loess Fit = 0.183  Date_of_death = Sep2013 
 Loess Fit = 0.1789  Date_of_death = Sep2013 
 Loess Fit = 0.1789  Date_of_death = Aug2013 
 Loess Fit = 0.1748  Date_of_death = Aug2013 
 Loess Fit = 0.1748  Date_of_death = Jun2013 
 Loess Fit = 0.1707  Date_of_death = Jun2013 
 Loess Fit = 0.1707  Date_of_death = May2013 
 Loess Fit = 0.1666  Date_of_death = May2013 
 Loess Fit = 0.1666  Date_of_death = Apr2013 
 Loess Fit = 0.1625  Date_of_death = Apr2013 
 Loess Fit = 0.1625  Date_of_death = Mar2013 
 Loess Fit = 0.1584  Date_of_death = Mar2013 
 Loess Fit = 0.1584  Date_of_death = Feb2013 
 Loess Fit = 0.1543  Date_of_death = Feb2013 
 Loess Fit = 0.1543  Date_of_death = Jan2013 
 Loess Fit = 0.1502  Date_of_death = Jan2013 
 Loess Fit = 0.1502  Date_of_death = Dec2012 
 Loess Fit = 0.1461  Date_of_death = Dec2012 
 Loess Fit = 0.1461  Date_of_death = Nov2012 
 Loess Fit = 0.142  Date_of_death = Nov2012 
 Loess Fit = 0.142  Date_of_death = Oct2012 
 Loess Fit = 0.1379  Date_of_death = Oct2012 
 Loess Fit = 0.1379  Date_of_death = Aug2012 
 Loess Fit = 0.1326  Date_of_death = Aug2012 
 Loess Fit = 0.1326  Date_of_death = Jul2012 
 Loess Fit = 0.1273  Date_of_death = Jul2012 
 Loess Fit = 0.1273  Date_of_death = Jun2012 
 Loess Fit = 0.122  Date_of_death = Jun2012 
 Loess Fit = 0.122  Date_of_death = May2012 
 Loess Fit = 0.1167  Date_of_death = May2012 
 Loess Fit = 0.1167  Date_of_death = Apr2012 
 Loess Fit = 0.1114  Date_of_death = Apr2012 
 Loess Fit = 0.1114  Date_of_death = Mar2012 
 Loess Fit = 0.1061  Date_of_death = Mar2012 
 Loess Fit = 0.1061  Date_of_death = Feb2012 
 Loess Fit = 0.1008  Date_of_death = Feb2012 
 Loess Fit = 0.1008  Date_of_death = Jan2012 
 Loess Fit = 0.0955  Date_of_death = Jan2012 
 Loess Fit = 0.0955  Date_of_death = Nov2011 
 Loess Fit = 0.0902  Date_of_death = Nov2011 
 Loess Fit = 0.0902  Date_of_death = Oct2011 
 Loess Fit = 0.0849  Date_of_death = Oct2011 
 Loess Fit = 0.0849  Date_of_death = Sep2011 
 Loess Fit = 0.0796  Date_of_death = Sep2011 
 Loess Fit = 0.0796  Date_of_death = Aug2011 
 Loess Fit = 0.0744  Date_of_death = Aug2011 
 Loess Fit = 0.0744  Date_of_death = Jul2011 
 Loess Fit = 0.0691  Date_of_death = Jul2011 
 Loess Fit = 0.0691  Date_of_death = Jun2011 
 Loess Fit = 0.0638  Date_of_death = Jun2011 
 Loess Fit = 0.0638  Date_of_death = May2011 
 Loess Fit = 0.0585  Date_of_death = May2011 
 Loess Fit = 0.0585  Date_of_death = Apr2011 
 Loess Fit = 0.0532  Date_of_death = Apr2011 
 Loess Fit = 0.0532  Date_of_death = Mar2011 
 Loess Fit = 0.0479  Date_of_death = Mar2011 
 Loess Fit = 0.0479  Date_of_death = Jan2011 
 Loess Fit = 0.0426  Date_of_death = Jan2011 
 Loess Fit = 0.0426  Date_of_death = Dec2010 
 Loess Fit = 0.0373  Date_of_death = Dec2010 
 Loess Fit = 0.0373  Date_of_death = Nov2010 
 Loess Fit = 0.032  Date_of_death = Nov2010 
 Loess Fit = 0.032  Date_of_death = Oct2010 
 Loess Fit = 0.0267  Date_of_death = Oct2010 
 Loess Fit = 0.0267  Date_of_death = Sep2010 
 Loess Fit = 0.0214  Date_of_death = Sep2010 
 Loess Fit = 0.0214  Date_of_death = Aug2010 
 Loess Fit = 0.0161  Date_of_death = Aug2010 
 Loess Fit = 0.0161  Date_of_death = Jul2010 
 Loess Fit = 0.0108  Date_of_death = Jul2010 
 Loess Fit = 0.0108  Date_of_death = Jun2010 
 Loess Fit = 0.0055  Date_of_death = Jun2010 
 Loess Fit = 0.0055  Date_of_death = Apr2010 
 Loess Fit = 0.0045  Date_of_death = Apr2010 
 Loess Fit = 0.0045  Date_of_death = Mar2010 
 Loess Fit = 0.0035  Date_of_death = Mar2010 
 Loess Fit = 0.0035  Date_of_death = Feb2010 
 Loess Fit = 0.0025  Date_of_death = Feb2010 
 Loess Fit = 0.0025  Date_of_death = Jan2010 
 Loess Fit = 0.0016  Date_of_death = Jan2010 
 Loess Fit = 0.0016  Date_of_death = Dec2009 
 Loess Fit = .00063  Date_of_death = Dec2009 
 Loess Fit = .00063  Date_of_death = Nov2009 
 Loess Fit = -32E-5  Date_of_death = Nov2009 
 Loess Fit = -32E-5  Date_of_death = Oct2009 
 Loess Fit = -0.001  Date_of_death = Oct2009 
 Loess Fit = -0.001  Date_of_death = Sep2009 
 Loess Fit = -0.002  Date_of_death = Sep2009 
 Loess Fit = -0.002  Date_of_death = Jul2009 
 Loess Fit = -0.003  Date_of_death = Jul2009 
 Loess Fit = -0.003  Date_of_death = Jun2009 
 Loess Fit = -0.004  Date_of_death = Jun2009 
 Loess Fit = -0.004  Date_of_death = May2009 
 Loess Fit = -0.005  Date_of_death = May2009 
 Loess Fit = -0.005  Date_of_death = Apr2009 
 Loess Fit = -0.006  Date_of_death = Apr2009 
 Loess Fit = -0.006  Date_of_death = Mar2009 
 Loess Fit = -0.007  Date_of_death = Mar2009 
 Loess Fit = -0.007  Date_of_death = Feb2009 
 Loess Fit = -0.008  Date_of_death = Feb2009 
 Loess Fit = -0.008  Date_of_death = Jan2009 
 Loess Fit = -0.009  Date_of_death = Jan2009 
 Loess Fit = -0.009  Date_of_death = Dec2008 
 Loess Fit = -0.01  Date_of_death = Dec2008 
 Loess Fit = -0.01  Date_of_death = Oct2008 
 Loess Fit = -0.011  Date_of_death = Oct2008 
 Loess Fit = -0.011  Date_of_death = Sep2008 
 Loess Fit = -0.012  Date_of_death = Sep2008 
 Loess Fit = -0.012  Date_of_death = Aug2008 
 Loess Fit = -0.013  Date_of_death = Aug2008 
 Loess Fit = -0.013  Date_of_death = Jul2008 
 Loess Fit = -0.014  Date_of_death = Jul2008 
 Loess Fit = -0.014  Date_of_death = Jun2008 
 Loess Fit = -0.015  Date_of_death = Jun2008 
 Loess Fit = -0.015  Date_of_death = May2008 
 Loess Fit = -0.016  Date_of_death = May2008 
 Loess Fit = -0.016  Date_of_death = Apr2008 
 Loess Fit = -0.017  Date_of_death = Apr2008 
 Loess Fit = -0.017  Date_of_death = Mar2008 
 Loess Fit = -0.018  Date_of_death = Mar2008 
 Loess Fit = -0.018  Date_of_death = Feb2008 
 Loess Fit = -0.018  Date_of_death = Feb2008 
 Loess Fit = -0.018  Date_of_death = Dec2007 
 Loess Fit = -0.018  Date_of_death = Dec2007 
 Loess Fit = -0.018  Date_of_death = Nov2007 
 Loess Fit = -0.017  Date_of_death = Nov2007 
 Loess Fit = -0.017  Date_of_death = Oct2007 
 Loess Fit = -0.016  Date_of_death = Oct2007 
 Loess Fit = -0.016  Date_of_death = Sep2007 
 Loess Fit = -0.015  Date_of_death = Sep2007 
 Loess Fit = -0.015  Date_of_death = Aug2007 
 Loess Fit = -0.014  Date_of_death = Aug2007 
 Loess Fit = -0.014  Date_of_death = Jul2007 
 Loess Fit = -0.013  Date_of_death = Jul2007 
 Loess Fit = -0.013  Date_of_death = Jun2007 
 Loess Fit = -0.012  Date_of_death = Jun2007 
 Loess Fit = -0.012  Date_of_death = May2007 
 Loess Fit = -0.012  Date_of_death = May2007 
 Loess Fit = -0.012  Date_of_death = Mar2007 
 Loess Fit = -0.011  Date_of_death = Mar2007 
 Loess Fit = -0.011  Date_of_death = Feb2007 
 Loess Fit = -0.01  Date_of_death = Feb2007 
 Loess Fit = -0.01  Date_of_death = Jan2007 
 Loess Fit = -0.009  Date_of_death = Jan2007 
 Loess Fit = -0.009  Date_of_death = Dec2006 
 Loess Fit = -0.008  Date_of_death = Dec2006 
 Loess Fit = -0.008  Date_of_death = Nov2006 
 Loess Fit = -0.007  Date_of_death = Nov2006 
 Loess Fit = -0.007  Date_of_death = Oct2006 
 Loess Fit = -0.006  Date_of_death = Oct2006 
 Loess Fit = -0.006  Date_of_death = Sep2006 
 Loess Fit = -0.006  Date_of_death = Sep2006 
 Loess Fit = -0.006  Date_of_death = Aug2006 
 Loess Fit = -0.005  Date_of_death = Aug2006 
 Loess Fit = -0.005  Date_of_death = Jul2006 
 Loess Fit = -0.004  Date_of_death = Jul2006 
 Loess Fit = -0.004  Date_of_death = May2006 
 Loess Fit = -0.003  Date_of_death = May2006 
 Loess Fit = -0.003  Date_of_death = Apr2006 
 Loess Fit = -0.002  Date_of_death = Apr2006 
 Loess Fit = -0.002  Date_of_death = Mar2006 
 Loess Fit = -0.001  Date_of_death = Mar2006 
 Loess Fit = -0.001  Date_of_death = Feb2006 
 Loess Fit = -42E-5  Date_of_death = Feb2006 
 Loess Fit = -42E-5  Date_of_death = Jan2006 
 Loess Fit = .00044  Date_of_death = Jan2006 
 Loess Fit = .00044  Date_of_death = Dec2005 
 Loess Fit = 0.0013  Date_of_death = Dec2005 
 Loess Fit = 0.0013  Date_of_death = Nov2005 
 Loess Fit = 0.0022  Date_of_death = Nov2005 
 Loess Fit = 0.0022  Date_of_death = Oct2005 
 Loess Fit = 0.003  Date_of_death = Oct2005 
 Loess Fit = 0.003  Date_of_death = Aug2005 
 Loess Fit = 0.004  Date_of_death = Aug2005 
 Loess Fit = 0.004  Date_of_death = Jul2005 
 Loess Fit = 0.0049  Date_of_death = Jul2005 
 Loess Fit = 0.0049  Date_of_death = Jun2005 
 Loess Fit = 0.0059  Date_of_death = Jun2005 
 Loess Fit = 0.0059  Date_of_death = May2005 
 Loess Fit = 0.0068  Date_of_death = May2005 
 Loess Fit = 0.0068  Date_of_death = Apr2005 
 Loess Fit = 0.0078  Date_of_death = Apr2005 
 Loess Fit = 0.0078  Date_of_death = Mar2005 
 Loess Fit = 0.0087  Date_of_death = Mar2005 
 Loess Fit = 0.0087  Date_of_death = Feb2005 
 Loess Fit = 0.0097  Date_of_death = Feb2005 
 Loess Fit = 0.0097  Date_of_death = Jan2005 
 Loess Fit = 0.0106  Date_of_death = Jan2005 
 Loess Fit = 0.0106  Date_of_death = Nov2004 
 Loess Fit = 0.0116  Date_of_death = Nov2004 
 Loess Fit = 0.0116  Date_of_death = Oct2004 
 Loess Fit = 0.0126  Date_of_death = Oct2004 
 Loess Fit = 0.0126  Date_of_death = Sep2004 
 Loess Fit = 0.0135  Date_of_death = Sep2004 
 Loess Fit = 0.0135  Date_of_death = Aug2004 
 Loess Fit = 0.0145  Date_of_death = Aug2004 
 Loess Fit = 0.0145  Date_of_death = Jul2004 
 Loess Fit = 0.0154  Date_of_death = Jul2004 
 Loess Fit = 0.0154  Date_of_death = Jun2004 
 Loess Fit = 0.0164  Date_of_death = Jun2004 
 Loess Fit = 0.0164  Date_of_death = May2004 
 Loess Fit = 0.0173  Date_of_death = May2004 
 Loess Fit = 0.0173  Date_of_death = Apr2004 
 Loess Fit = 0.0183  Date_of_death = Apr2004 
 Loess Fit = 0.0183  Date_of_death = Mar2004 
 Loess Fit = 0.0192  Date_of_death = Mar2004 
 Loess Fit = 0.0192  Date_of_death = Jan2004 
 Loess Fit = 0.0202  Date_of_death = Jan2004 
 Loess Fit = 0.0202  Date_of_death = Dec2003 
 Loess Fit = 0.0211  Date_of_death = Dec2003 
 Loess Fit = 0.0211  Date_of_death = Nov2003 
 Loess Fit = 0.0221  Date_of_death = Nov2003 
 Loess Fit = 0.0221  Date_of_death = Oct2003 
 Loess Fit = 0.023  Date_of_death = Oct2003 
 Loess Fit = 0.023  Date_of_death = Sep2003 
 Loess Fit = 0.024  Date_of_death = Sep2003 
 Loess Fit = 0.024  Date_of_death = Aug2003 
 Loess Fit = 0.0249  Date_of_death = Aug2003 
 Loess Fit = 0.0249  Date_of_death = Jul2003 
 Loess Fit = 0.0259  Date_of_death = Jul2003 
 Loess Fit = 0.0259  Date_of_death = Jun2003 
 Loess Fit = 0.0269  Date_of_death = Jun2003 
 Loess Fit = 0.0269  Date_of_death = Apr2003 
 Loess Fit = 0.0277  Date_of_death = Apr2003 
 Loess Fit = 0.0277  Date_of_death = Mar2003 
 Loess Fit = 0.0286  Date_of_death = Mar2003 
 Loess Fit = 0.0286  Date_of_death = Feb2003 
 Loess Fit = 0.0295  Date_of_death = Feb2003 
 Loess Fit = 0.0295  Date_of_death = Jan2003 
 Loess Fit = 0.0304  Date_of_death = Jan2003 
 Loess Fit = 0.0304  Date_of_death = Dec2002 
 Loess Fit = 0.0313  Date_of_death = Dec2002 
 Loess Fit = 0.0313  Date_of_death = Nov2002 
 Loess Fit = 0.0322  Date_of_death = Nov2002 
 Loess Fit = 0.0322  Date_of_death = Oct2002 
 Loess Fit = 0.0331  Date_of_death = Oct2002 
 Loess Fit = 0.0331  Date_of_death = Sep2002 
 Loess Fit = 0.0339  Date_of_death = Sep2002 
 Loess Fit = 0.0339  Date_of_death = Jul2002 
 Loess Fit = 0.0348  Date_of_death = Jul2002 
 Loess Fit = 0.0348  Date_of_death = Jun2002 
 Loess Fit = 0.0357  Date_of_death = Jun2002 
 Loess Fit = 0.0357  Date_of_death = May2002 
 Loess Fit = 0.0366  Date_of_death = May2002 
 Loess Fit = 0.0366  Date_of_death = Apr2002 
 Loess Fit = 0.0375  Date_of_death = Apr2002 
 Loess Fit = 0.0375  Date_of_death = Mar2002 
 Loess Fit = 0.0384  Date_of_death = Mar2002 
 Loess Fit = 0.0384  Date_of_death = Feb2002 
 Loess Fit = 0.0392  Date_of_death = Feb2002 
 Loess Fit = 0.0392  Date_of_death = Jan2002 
 Loess Fit = 0.0401  Date_of_death = Jan2002 
 Loess Fit = 0.0401  Date_of_death = Dec2001 
 Loess Fit = 0.041  Date_of_death = Dec2001 
 Loess Fit = 0.041  Date_of_death = Oct2001 
 Loess Fit = 0.0419  Date_of_death = Oct2001 
 Loess Fit = 0.0419  Date_of_death = Sep2001 
 Loess Fit = 0.0428  Date_of_death = Sep2001 
 Loess Fit = 0.0428  Date_of_death = Aug2001 
 Loess Fit = 0.0437  Date_of_death = Aug2001 
 Loess Fit = 0.0437  Date_of_death = Jul2001 
 Loess Fit = 0.0446  Date_of_death = Jul2001 
 Loess Fit = 0.0446  Date_of_death = Jun2001 
 Loess Fit = 0.0454  Date_of_death = Jun2001 
 Loess Fit = 0.0454  Date_of_death = May2001 
 Loess Fit = 0.0463  Date_of_death = May2001 
 Loess Fit = 0.0463  Date_of_death = Apr2001 
 Loess Fit = 0.0472  Date_of_death = Apr2001 
 Loess Fit = 0.0472  Date_of_death = Mar2001 
 Loess Fit = 0.0481  Date_of_death = Mar2001 
 Loess Fit = 0.0481  Date_of_death = Feb2001 
 Loess Fit = 0.049  Date_of_death = Oct2019 
 Prediction Error = -1.521  Date_of_death = Sep2019 
 Prediction Error = -1.913  Date_of_death = Aug2019 
 Prediction Error = 3.175  Date_of_death = Jul2019 
 Prediction Error = -1.848  Date_of_death = Jun2019 
 Prediction Error = -2.83  Date_of_death = May2019 
 Prediction Error = 0.6492  Date_of_death = Apr2019 
 Prediction Error = 2.679  Date_of_death = Mar2019 
 Prediction Error = -2.244  Date_of_death = Feb2019 
 Prediction Error = -1.74  Date_of_death = Jan2019 
 Prediction Error = 2.6035  Date_of_death = Dec2018 
 Prediction Error = -1.471  Date_of_death = Nov2018 
 Prediction Error = -0.309  Date_of_death = Oct2018 
 Prediction Error = 3.6754  Date_of_death = Sep2018 
 Prediction Error = 3.3231  Date_of_death = Aug2018 
 Prediction Error = -0.855  Date_of_death = Jul2018 
 Prediction Error = -0.866  Date_of_death = Jun2018 
 Prediction Error = -0.822  Date_of_death = May2018 
 Prediction Error = 2.8767  Date_of_death = Apr2018 
 Prediction Error = 2.909  Date_of_death = Mar2018 
 Prediction Error = 3.0543  Date_of_death = Feb2018 
 Prediction Error = 2.5833  Date_of_death = Jan2018 
 Prediction Error = 2.9539  Date_of_death = Dec2017 
 Prediction Error = 3.9981  Date_of_death = Nov2017 
 Prediction Error = -2.203  Date_of_death = Oct2017 
 Prediction Error = 4.1367  Date_of_death = Sep2017 
 Prediction Error = -0.516  Date_of_death = Aug2017 
 Prediction Error = -0.701  Date_of_death = Jul2017 
 Prediction Error = -0.709  Date_of_death = Jun2017 
 Prediction Error = -1.729  Date_of_death = May2017 
 Prediction Error = -2.106  Date_of_death = Apr2017 
 Prediction Error = 3.2237  Date_of_death = Mar2017 
 Prediction Error = 3.3793  Date_of_death = Feb2017 
 Prediction Error = -0.33  Date_of_death = Jan2017 
 Prediction Error = 1.1002  Date_of_death = Dec2016 
 Prediction Error = -1.036  Date_of_death = Nov2016 
 Prediction Error = 3.0597  Date_of_death = Oct2016 
 Prediction Error = -0.887  Date_of_death = Sep2016 
 Prediction Error = 3.779  Date_of_death = Aug2016 
 Prediction Error = 3.6318  Date_of_death = Jul2016 
 Prediction Error = -0.625  Date_of_death = Jun2016 
 Prediction Error = -2.78  Date_of_death = May2016 
 Prediction Error = 1.1078  Date_of_death = Apr2016 
 Prediction Error = -1.787  Date_of_death = Mar2016 
 Prediction Error = -0.606  Date_of_death = Feb2016 
 Prediction Error = 2.9271  Date_of_death = Jan2016 
 Prediction Error = -1.97  Date_of_death = Dec2015 
 Prediction Error = -1.048  Date_of_death = Nov2015 
 Prediction Error = 3.3212  Date_of_death = Oct2015 
 Prediction Error = -0.888  Date_of_death = Sep2015 
 Prediction Error = -1.301  Date_of_death = Aug2015 
 Prediction Error = -1.517  Date_of_death = Jul2015 
 Prediction Error = 0.3533  Date_of_death = Jun2015 
 Prediction Error = -3.012  Date_of_death = May2015 
 Prediction Error = -2.101  Date_of_death = Apr2015 
 Prediction Error = -1.99  Date_of_death = Mar2015 
 Prediction Error = 3.5819  Date_of_death = Feb2015 
 Prediction Error = 3.0818  Date_of_death = Jan2015 
 Prediction Error = -2.151  Date_of_death = Dec2014 
 Prediction Error = -0.08  Date_of_death = Nov2014 
 Prediction Error = -1.886  Date_of_death = Oct2014 
 Prediction Error = 1.126  Date_of_death = Sep2014 
 Prediction Error = 3.9526  Date_of_death = Aug2014 
 Prediction Error = 1.6125  Date_of_death = Jul2014 
 Prediction Error = 0.4028  Date_of_death = Jun2014 
 Prediction Error = 2.212  Date_of_death = May2014 
 Prediction Error = -1.084  Date_of_death = Apr2014 
 Prediction Error = 1.2145  Date_of_death = Mar2014 
 Prediction Error = -1.443  Date_of_death = Feb2014 
 Prediction Error = -0.952  Date_of_death = Jan2014 
 Prediction Error = 3.1546  Date_of_death = Dec2013 
 Prediction Error = 0.0015  Date_of_death = Nov2013 
 Prediction Error = 3.4986  Date_of_death = Oct2013 
 Prediction Error = 2.4472  Date_of_death = Sep2013 
 Prediction Error = -1.023  Date_of_death = Aug2013 
 Prediction Error = -1.421  Date_of_death = Jul2013 
 Prediction Error = -0.58  Date_of_death = Jun2013 
 Prediction Error = -2.993  Date_of_death = May2013 
 Prediction Error = -2.246  Date_of_death = Apr2013 
 Prediction Error = -1.958  Date_of_death = Mar2013 
 Prediction Error = 0.5872  Date_of_death = Feb2013 
 Prediction Error = 3.3134  Date_of_death = Jan2013 
 Prediction Error = -0.928  Date_of_death = Dec2012 
 Prediction Error = -1.104  Date_of_death = Nov2012 
 Prediction Error = -0.609  Date_of_death = Oct2012 
 Prediction Error = -0.699  Date_of_death = Sep2012 
 Prediction Error = -0.116  Date_of_death = Aug2012 
 Prediction Error = -0.538  Date_of_death = Jul2012 
 Prediction Error = 1.477  Date_of_death = Jun2012 
 Prediction Error = -3.304  Date_of_death = May2012 
 Prediction Error = -2.495  Date_of_death = Apr2012 
 Prediction Error = 0.0053  Date_of_death = Mar2012 
 Prediction Error = 1.6883  Date_of_death = Feb2012 
 Prediction Error = -0.819  Date_of_death = Jan2012 
 Prediction Error = -2.188  Date_of_death = Dec2011 
 Prediction Error = -0.19  Date_of_death = Nov2011 
 Prediction Error = -1.843  Date_of_death = Oct2011 
 Prediction Error = -0.851  Date_of_death = Sep2011 
 Prediction Error = -1.318  Date_of_death = Aug2011 
 Prediction Error = -0.688  Date_of_death = Jul2011 
 Prediction Error = 2.6078  Date_of_death = Jun2011 
 Prediction Error = 1.8059  Date_of_death = May2011 
 Prediction Error = -0.563  Date_of_death = Apr2011 
 Prediction Error = -2.22  Date_of_death = Mar2011 
 Prediction Error = 0.6951  Date_of_death = Feb2011 
 Prediction Error = 0.1507  Date_of_death = Jan2011 
 Prediction Error = -1.342  Date_of_death = Dec2010 
 Prediction Error = -1.354  Date_of_death = Nov2010 
 Prediction Error = -0.963  Date_of_death = Oct2010 
 Prediction Error = -0.972  Date_of_death = Sep2010 
 Prediction Error = -1.486  Date_of_death = Aug2010 
 Prediction Error = 2.5353  Date_of_death = Jul2010 
 Prediction Error = -1.579  Date_of_death = Jun2010 
 Prediction Error = 1.9369  Date_of_death = May2010 
 Prediction Error = -1.779  Date_of_death = Apr2010 
 Prediction Error = 0.8271  Date_of_death = Mar2010 
 Prediction Error = -0.377  Date_of_death = Feb2010 
 Prediction Error = 3.4525  Date_of_death = Jan2010 
 Prediction Error = -0.384  Date_of_death = Dec2009 
 Prediction Error = 1.8528  Date_of_death = Nov2009 
 Prediction Error = -2.165  Date_of_death = Oct2009 
 Prediction Error = 4.5378  Date_of_death = Sep2009 
 Prediction Error = -0.466  Date_of_death = Aug2009 
 Prediction Error = -0.47  Date_of_death = Jul2009 
 Prediction Error = -0.586  Date_of_death = Jun2009 
 Prediction Error = -0.031  Date_of_death = May2009 
 Prediction Error = 1.4247  Date_of_death = Apr2009 
 Prediction Error = -2.373  Date_of_death = Mar2009 
 Prediction Error = -1.496  Date_of_death = Feb2009 
 Prediction Error = -0.613  Date_of_death = Jan2009 
 Prediction Error = 2.9648  Date_of_death = Dec2008 
 Prediction Error = 4.372  Date_of_death = Nov2008 
 Prediction Error = -1.262  Date_of_death = Oct2008 
 Prediction Error = 0.6173  Date_of_death = Sep2008 
 Prediction Error = 1.7554  Date_of_death = Aug2008 
 Prediction Error = 1.7689  Date_of_death = Jul2008 
 Prediction Error = -0.61  Date_of_death = Jun2008 
 Prediction Error = 0.0152  Date_of_death = May2008 
 Prediction Error = 2.7865  Date_of_death = Apr2008 
 Prediction Error = -2.607  Date_of_death = Mar2008 
 Prediction Error = -1.619  Date_of_death = Feb2008 
 Prediction Error = 0.5097  Date_of_death = Jan2008 
 Prediction Error = 3.46  Date_of_death = Dec2007 
 Prediction Error = 0.4638  Date_of_death = Nov2007 
 Prediction Error = -1.402  Date_of_death = Oct2007 
 Prediction Error = -0.404  Date_of_death = Sep2007 
 Prediction Error = 0.8879  Date_of_death = Aug2007 
 Prediction Error = -0.256  Date_of_death = Jul2007 
 Prediction Error = -0.689  Date_of_death = Jun2007 
 Prediction Error = 0.0262  Date_of_death = May2007 
 Prediction Error = -2.562  Date_of_death = Apr2007 
 Prediction Error = 2.7425  Date_of_death = Mar2007 
 Prediction Error = -0.69  Date_of_death = Feb2007 
 Prediction Error = -0.551  Date_of_death = Jan2007 
 Prediction Error = -1.825  Date_of_death = Dec2006 
 Prediction Error = -0.662  Date_of_death = Nov2006 
 Prediction Error = -1.672  Date_of_death = Oct2006 
 Prediction Error = -0.509  Date_of_death = Sep2006 
 Prediction Error = 4.5186  Date_of_death = Aug2006 
 Prediction Error = -1.49  Date_of_death = Jul2006 
 Prediction Error = -2.002  Date_of_death = Jun2006 
 Prediction Error = -0.002  Date_of_death = May2006 
 Prediction Error = -1.846  Date_of_death = Apr2006 
 Prediction Error = 0.8251  Date_of_death = Mar2006 
 Prediction Error = 3.8486  Date_of_death = Feb2006 
 Prediction Error = 4.0404  Date_of_death = Jan2006 
 Prediction Error = -2.174  Date_of_death = Dec2005 
 Prediction Error = 0.429  Date_of_death = Nov2005 
 Prediction Error = 2.8447  Date_of_death = Oct2005 
 Prediction Error = 0.6493  Date_of_death = Sep2005 
 Prediction Error = -0.552  Date_of_death = Aug2005 
 Prediction Error = -0.554  Date_of_death = Jul2005 
 Prediction Error = -2.366  Date_of_death = Jun2005 
 Prediction Error = 2.4482  Date_of_death = May2005 
 Prediction Error = -2.162  Date_of_death = Apr2005 
 Prediction Error = -2.575  Date_of_death = Mar2005 
 Prediction Error = -1.382  Date_of_death = Feb2005 
 Prediction Error = 0.0187  Date_of_death = Jan2005 
 Prediction Error = -2.744  Date_of_death = Dec2004 
 Prediction Error = 0.5085  Date_of_death = Nov2004 
 Prediction Error = -2.753  Date_of_death = Oct2004 
 Prediction Error = 0.7498  Date_of_death = Sep2004 
 Prediction Error = 0.5019  Date_of_death = Aug2004 
 Prediction Error = -0.751  Date_of_death = Jul2004 
 Prediction Error = -3.015  Date_of_death = Jun2004 
 Prediction Error = 2.998  Date_of_death = May2004 
 Prediction Error = 2.258  Date_of_death = Apr2004 
 Prediction Error = 3.0216  Date_of_death = Mar2004 
 Prediction Error = 4.5423  Date_of_death = Feb2004 
 Prediction Error = -1.212  Date_of_death = Jan2004 
 Prediction Error = -2.305  Date_of_death = Dec2003 
 Prediction Error = -0.639  Date_of_death = Nov2003 
 Prediction Error = -2.313  Date_of_death = Oct2003 
 Prediction Error = -0.314  Date_of_death = Sep2003 
 Prediction Error = 0.6893  Date_of_death = Aug2003 
 Prediction Error = 0.3579  Date_of_death = Jul2003 
 Prediction Error = -3.989  Date_of_death = Jun2003 
 Prediction Error = 0.0116  Date_of_death = May2003 
 Prediction Error = -2.33  Date_of_death = Apr2003 
 Prediction Error = -1.334  Date_of_death = Mar2003 
 Prediction Error = 2.0058  Date_of_death = Feb2003 
 Prediction Error = -1.667  Date_of_death = Jan2003 
 Prediction Error = -5.01  Date_of_death = Dec2002 
 Prediction Error = 1.9942  Date_of_death = Nov2002 
 Prediction Error = 2.4999  Date_of_death = Oct2002 
 Prediction Error = 1.0021  Date_of_death = Sep2002 
 Prediction Error = -0.499  Date_of_death = Aug2002 
 Prediction Error = -2.506  Date_of_death = Jul2002 
 Prediction Error = 1.4973  Date_of_death = Jun2002 
 Prediction Error = 4.5084  Date_of_death = May2002 
 Prediction Error = -0.493  Date_of_death = Apr2002 
 Prediction Error = -3.501  Date_of_death = Mar2002 
 Prediction Error = -0.002  Date_of_death = Feb2002 
 Prediction Error = -2.509  Date_of_death = Jan2002 
 Prediction Error = -0.003  Date_of_death = Dec2001 
 Prediction Error = -0.004  Date_of_death = Nov2001 
 Prediction Error = -5.013  Date_of_death = Oct2001 
 Prediction Error = -0.015  Date_of_death = Sep2001 
 Prediction Error = 0.9844  Date_of_death = Aug2001 
 Prediction Error = 4.9903  Date_of_death = Jul2001 
 Prediction Error = 2.9937  Date_of_death = Jun2001 
 Prediction Error = 0.9945  Date_of_death = May2001 
 Prediction Error = 2.9985  Date_of_death = Apr2001 
 Prediction Error = -3.006  Date_of_death = Mar2001 
 Prediction Error = -0.007  Date_of_death = Feb2001 
 Prediction Error = 5  Date_of_death = Oct2019 
 2*STD = 4.0324 
 -2*STD = -4.032  Date_of_death = Sep2019 
 2*STD = 4.0324 
 -2*STD = -4.032  Date_of_death = Sep2019 
 2*STD = 4.0324 
 -2*STD = -4.032  Date_of_death = Aug2019 
 2*STD = 4.0325 
 -2*STD = -4.032  Date_of_death = Aug2019 
 2*STD = 4.0325 
 -2*STD = -4.032  Date_of_death = Jul2019 
 2*STD = 4.0325 
 -2*STD = -4.032  Date_of_death = Jul2019 
 2*STD = 4.0325 
 -2*STD = -4.032  Date_of_death = Jun2019 
 2*STD = 4.0325 
 -2*STD = -4.033  Date_of_death = Jun2019 
 2*STD = 4.0325 
 -2*STD = -4.033  Date_of_death = May2019 
 2*STD = 4.0325 
 -2*STD = -4.033  Date_of_death = May2019 
 2*STD = 4.0325 
 -2*STD = -4.033  Date_of_death = Apr2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Apr2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Mar2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Mar2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Feb2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Feb2019 
 2*STD = 4.0326 
 -2*STD = -4.033  Date_of_death = Jan2019 
 2*STD = 4.0375 
 -2*STD = -4.037  Date_of_death = Jan2019 
 2*STD = 4.0375 
 -2*STD = -4.037  Date_of_death = Dec2018 
 2*STD = 4.0375 
 -2*STD = -4.038  Date_of_death = Dec2018 
 2*STD = 4.0375 
 -2*STD = -4.038  Date_of_death = Nov2018 
 2*STD = 4.0375 
 -2*STD = -4.038  Date_of_death = Nov2018 
 2*STD = 4.0375 
 -2*STD = -4.038  Date_of_death = Oct2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Oct2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Sep2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Sep2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Aug2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Aug2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Jul2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Jul2018 
 2*STD = 4.0376 
 -2*STD = -4.038  Date_of_death = Jun2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = Jun2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = May2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = May2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = Apr2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = Apr2018 
 2*STD = 4.0377 
 -2*STD = -4.038  Date_of_death = Mar2018 
 2*STD = 4.0378 
 -2*STD = -4.038  Date_of_death = Mar2018 
 2*STD = 4.0378 
 -2*STD = -4.038  Date_of_death = Feb2018 
 2*STD = 4.0378 
 -2*STD = -4.038  Date_of_death = Feb2018 
 2*STD = 4.0378 
 -2*STD = -4.038  Date_of_death = Jan2018 
 2*STD = 4.0432 
 -2*STD = -4.043  Date_of_death = Jan2018 
 2*STD = 4.0432 
 -2*STD = -4.043  Date_of_death = Dec2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Dec2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Nov2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Nov2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Oct2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Oct2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Sep2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Sep2017 
 2*STD = 4.0433 
 -2*STD = -4.043  Date_of_death = Aug2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Aug2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Jul2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Jul2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Jun2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Jun2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = May2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = May2017 
 2*STD = 4.0434 
 -2*STD = -4.043  Date_of_death = Apr2017 
 2*STD = 4.0435 
 -2*STD = -4.043  Date_of_death = Apr2017 
 2*STD = 4.0435 
 -2*STD = -4.043  Date_of_death = Mar2017 
 2*STD = 4.0435 
 -2*STD = -4.044  Date_of_death = Mar2017 
 2*STD = 4.0435 
 -2*STD = -4.044  Date_of_death = Feb2017 
 2*STD = 4.0435 
 -2*STD = -4.044  Date_of_death = Feb2017 
 2*STD = 4.0435 
 -2*STD = -4.044  Date_of_death = Jan2017 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Jan2017 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Dec2016 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Dec2016 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Nov2016 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Nov2016 
 2*STD = 4.0497 
 -2*STD = -4.05  Date_of_death = Oct2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Oct2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Sep2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Sep2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Aug2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Aug2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Jul2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Jul2016 
 2*STD = 4.0498 
 -2*STD = -4.05  Date_of_death = Jun2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = Jun2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = May2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = May2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = Apr2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = Apr2016 
 2*STD = 4.0499 
 -2*STD = -4.05  Date_of_death = Mar2016 
 2*STD = 4.05 
 -2*STD = -4.05  Date_of_death = Mar2016 
 2*STD = 4.05 
 -2*STD = -4.05  Date_of_death = Feb2016 
 2*STD = 4.05 
 -2*STD = -4.05  Date_of_death = Feb2016 
 2*STD = 4.05 
 -2*STD = -4.05  Date_of_death = Jan2016 
 2*STD = 4.057 
 -2*STD = -4.057  Date_of_death = Jan2016 
 2*STD = 4.057 
 -2*STD = -4.057  Date_of_death = Dec2015 
 2*STD = 4.057 
 -2*STD = -4.057  Date_of_death = Dec2015 
 2*STD = 4.057 
 -2*STD = -4.057  Date_of_death = Nov2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Nov2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Oct2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Oct2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Sep2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Sep2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Aug2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Aug2015 
 2*STD = 4.0571 
 -2*STD = -4.057  Date_of_death = Jul2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = Jul2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = Jun2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = Jun2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = May2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = May2015 
 2*STD = 4.0572 
 -2*STD = -4.057  Date_of_death = Apr2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Apr2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Mar2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Mar2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Feb2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Feb2015 
 2*STD = 4.0573 
 -2*STD = -4.057  Date_of_death = Jan2015 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Jan2015 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Dec2014 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Dec2014 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Nov2014 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Nov2014 
 2*STD = 4.0654 
 -2*STD = -4.065  Date_of_death = Oct2014 
 2*STD = 4.0655 
 -2*STD = -4.065  Date_of_death = Oct2014 
 2*STD = 4.0655 
 -2*STD = -4.065  Date_of_death = Sep2014 
 2*STD = 4.0655 
 -2*STD = -4.065  Date_of_death = Sep2014 
 2*STD = 4.0655 
 -2*STD = -4.065  Date_of_death = Aug2014 
 2*STD = 4.0655 
 -2*STD = -4.066  Date_of_death = Aug2014 
 2*STD = 4.0655 
 -2*STD = -4.066  Date_of_death = Jul2014 
 2*STD = 4.0655 
 -2*STD = -4.066  Date_of_death = Jul2014 
 2*STD = 4.0655 
 -2*STD = -4.066  Date_of_death = Jun2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = Jun2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = May2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = May2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = Apr2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = Apr2014 
 2*STD = 4.0656 
 -2*STD = -4.066  Date_of_death = Mar2014 
 2*STD = 4.0657 
 -2*STD = -4.066  Date_of_death = Mar2014 
 2*STD = 4.0657 
 -2*STD = -4.066  Date_of_death = Feb2014 
 2*STD = 4.0657 
 -2*STD = -4.066  Date_of_death = Feb2014 
 2*STD = 4.0657 
 -2*STD = -4.066  Date_of_death = Jan2014 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Jan2014 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Dec2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Dec2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Nov2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Nov2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Oct2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Oct2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Sep2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Sep2013 
 2*STD = 4.0751 
 -2*STD = -4.075  Date_of_death = Aug2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = Aug2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = Jul2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = Jul2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = Jun2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = Jun2013 
 2*STD = 4.0752 
 -2*STD = -4.075  Date_of_death = May2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = May2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = Apr2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = Apr2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = Mar2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = Mar2013 
 2*STD = 4.0753 
 -2*STD = -4.075  Date_of_death = Feb2013 
 2*STD = 4.0754 
 -2*STD = -4.075  Date_of_death = Feb2013 
 2*STD = 4.0754 
 -2*STD = -4.075  Date_of_death = Jan2013 
 2*STD = 4.0863 
 -2*STD = -4.086  Date_of_death = Jan2013 
 2*STD = 4.0863 
 -2*STD = -4.086  Date_of_death = Dec2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Dec2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Nov2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Nov2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Oct2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Oct2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Sep2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Sep2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Aug2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Aug2012 
 2*STD = 4.0864 
 -2*STD = -4.086  Date_of_death = Jul2012 
 2*STD = 4.0865 
 -2*STD = -4.086  Date_of_death = Jul2012 
 2*STD = 4.0865 
 -2*STD = -4.086  Date_of_death = Jun2012 
 2*STD = 4.0865 
 -2*STD = -4.087  Date_of_death = Jun2012 
 2*STD = 4.0865 
 -2*STD = -4.087  Date_of_death = May2012 
 2*STD = 4.0865 
 -2*STD = -4.087  Date_of_death = May2012 
 2*STD = 4.0865 
 -2*STD = -4.087  Date_of_death = Apr2012 
 2*STD = 4.0866 
 -2*STD = -4.087  Date_of_death = Apr2012 
 2*STD = 4.0866 
 -2*STD = -4.087  Date_of_death = Mar2012 
 2*STD = 4.0866 
 -2*STD = -4.087  Date_of_death = Mar2012 
 2*STD = 4.0866 
 -2*STD = -4.087  Date_of_death = Feb2012 
 2*STD = 4.0867 
 -2*STD = -4.087  Date_of_death = Feb2012 
 2*STD = 4.0867 
 -2*STD = -4.087  Date_of_death = Jan2012 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Jan2012 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Dec2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Dec2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Nov2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Nov2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Oct2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Oct2011 
 2*STD = 4.0997 
 -2*STD = -4.1  Date_of_death = Sep2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Sep2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Aug2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Aug2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Jul2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Jul2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Jun2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = Jun2011 
 2*STD = 4.0998 
 -2*STD = -4.1  Date_of_death = May2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = May2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = Apr2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = Apr2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = Mar2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = Mar2011 
 2*STD = 4.0999 
 -2*STD = -4.1  Date_of_death = Feb2011 
 2*STD = 4.1 
 -2*STD = -4.1  Date_of_death = Feb2011 
 2*STD = 4.1 
 -2*STD = -4.1  Date_of_death = Jan2011 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Jan2011 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Dec2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Dec2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Nov2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Nov2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Oct2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Oct2010 
 2*STD = 4.1157 
 -2*STD = -4.116  Date_of_death = Sep2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Sep2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Aug2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Aug2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Jul2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Jul2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Jun2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = Jun2010 
 2*STD = 4.1158 
 -2*STD = -4.116  Date_of_death = May2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = May2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = Apr2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = Apr2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = Mar2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = Mar2010 
 2*STD = 4.1159 
 -2*STD = -4.116  Date_of_death = Feb2010 
 2*STD = 4.116 
 -2*STD = -4.116  Date_of_death = Feb2010 
 2*STD = 4.116 
 -2*STD = -4.116  Date_of_death = Jan2010 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Jan2010 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Dec2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Dec2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Nov2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Nov2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Oct2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Oct2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Sep2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Sep2009 
 2*STD = 4.1353 
 -2*STD = -4.135  Date_of_death = Aug2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Aug2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Jul2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Jul2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Jun2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Jun2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = May2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = May2009 
 2*STD = 4.1354 
 -2*STD = -4.135  Date_of_death = Apr2009 
 2*STD = 4.1355 
 -2*STD = -4.135  Date_of_death = Apr2009 
 2*STD = 4.1355 
 -2*STD = -4.135  Date_of_death = Mar2009 
 2*STD = 4.1355 
 -2*STD = -4.136  Date_of_death = Mar2009 
 2*STD = 4.1355 
 -2*STD = -4.136  Date_of_death = Feb2009 
 2*STD = 4.1355 
 -2*STD = -4.136  Date_of_death = Feb2009 
 2*STD = 4.1355 
 -2*STD = -4.136  Date_of_death = Jan2009 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Jan2009 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Dec2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Dec2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Nov2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Nov2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Oct2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Oct2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Sep2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Sep2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Aug2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Aug2008 
 2*STD = 4.1598 
 -2*STD = -4.16  Date_of_death = Jul2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Jul2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Jun2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Jun2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = May2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = May2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Apr2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Apr2008 
 2*STD = 4.1599 
 -2*STD = -4.16  Date_of_death = Mar2008 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = Mar2008 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = Feb2008 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = Feb2008 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = Jan2008 
 2*STD = 4.1912 
 -2*STD = -4.191  Date_of_death = Jan2008 
 2*STD = 4.1912 
 -2*STD = -4.191  Date_of_death = Dec2007 
 2*STD = 4.1912 
 -2*STD = -4.191  Date_of_death = Dec2007 
 2*STD = 4.1912 
 -2*STD = -4.191  Date_of_death = Nov2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Nov2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Oct2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Oct2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Sep2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Sep2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Aug2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Aug2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Jul2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Jul2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Jun2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = Jun2007 
 2*STD = 4.1913 
 -2*STD = -4.191  Date_of_death = May2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = May2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = Apr2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = Apr2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = Mar2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = Mar2007 
 2*STD = 4.1914 
 -2*STD = -4.191  Date_of_death = Feb2007 
 2*STD = 4.1915 
 -2*STD = -4.191  Date_of_death = Feb2007 
 2*STD = 4.1915 
 -2*STD = -4.191  Date_of_death = Jan2007 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Jan2007 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Dec2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Dec2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Nov2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Nov2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Oct2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Oct2006 
 2*STD = 4.2331 
 -2*STD = -4.233  Date_of_death = Sep2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Sep2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Aug2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Aug2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Jul2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Jul2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Jun2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Jun2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = May2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = May2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Apr2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Apr2006 
 2*STD = 4.2332 
 -2*STD = -4.233  Date_of_death = Mar2006 
 2*STD = 4.2333 
 -2*STD = -4.233  Date_of_death = Mar2006 
 2*STD = 4.2333 
 -2*STD = -4.233  Date_of_death = Feb2006 
 2*STD = 4.2333 
 -2*STD = -4.233  Date_of_death = Feb2006 
 2*STD = 4.2333 
 -2*STD = -4.233  Date_of_death = Jan2006 
 2*STD = 4.2914 
 -2*STD = -4.291  Date_of_death = Jan2006 
 2*STD = 4.2914 
 -2*STD = -4.291  Date_of_death = Dec2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Dec2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Nov2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Nov2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Oct2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Oct2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Sep2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Sep2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Aug2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Aug2005 
 2*STD = 4.2915 
 -2*STD = -4.291  Date_of_death = Jul2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = Jul2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = Jun2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = Jun2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = May2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = May2005 
 2*STD = 4.2915 
 -2*STD = -4.292  Date_of_death = Apr2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Apr2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Mar2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Mar2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Feb2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Feb2005 
 2*STD = 4.2916 
 -2*STD = -4.292  Date_of_death = Jan2005 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Jan2005 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Dec2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Dec2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Nov2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Nov2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Oct2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Oct2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Sep2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Sep2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Aug2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Aug2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Jul2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Jul2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Jun2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Jun2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = May2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = May2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Apr2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Apr2004 
 2*STD = 4.3781 
 -2*STD = -4.378  Date_of_death = Mar2004 
 2*STD = 4.3782 
 -2*STD = -4.378  Date_of_death = Mar2004 
 2*STD = 4.3782 
 -2*STD = -4.378  Date_of_death = Feb2004 
 2*STD = 4.3782 
 -2*STD = -4.378  Date_of_death = Feb2004 
 2*STD = 4.3782 
 -2*STD = -4.378  Date_of_death = Jan2004 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Jan2004 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Dec2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Dec2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Nov2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Nov2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Oct2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Oct2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Sep2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Sep2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Aug2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Aug2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Jul2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Jul2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Jun2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Jun2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = May2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = May2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Apr2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Apr2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Mar2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Mar2003 
 2*STD = 4.5196 
 -2*STD = -4.52  Date_of_death = Feb2003 
 2*STD = 4.5197 
 -2*STD = -4.52  Date_of_death = Feb2003 
 2*STD = 4.5197 
 -2*STD = -4.52  Date_of_death = Jan2003 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Jan2003 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Dec2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Dec2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Nov2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Nov2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Oct2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Oct2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Sep2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Sep2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Aug2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Aug2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Jul2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Jul2002 
 2*STD = 4.7914 
 -2*STD = -4.791  Date_of_death = Jun2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Jun2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = May2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = May2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Apr2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Apr2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Mar2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Mar2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Feb2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Feb2002 
 2*STD = 4.7915 
 -2*STD = -4.791  Date_of_death = Jan2002 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Jan2002 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Dec2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Dec2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Nov2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Nov2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Oct2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Oct2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Sep2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Sep2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Aug2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Aug2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Jul2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Jul2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Jun2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Jun2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = May2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = May2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Apr2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Apr2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Mar2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Mar2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Date_of_death = Feb2001 
 2*STD = 5.5299 
 -2*STD = -5.53  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 NOV2019 3.238375 2.01620 -0.713297 7.190047
239 DEC2019 2.342190 2.01632 -1.609730 6.294111
240 JAN2020 3.498637 2.01645 -0.453529 7.450804
241 FEB2020 3.588838 2.01441 -0.359335 7.537011
242 MAR2020 3.087462 2.01453 -0.860953 7.035877
243 APR2020 3.436087 2.01466 -0.512568 7.384742
244 MAY2020 3.334711 2.01478 -0.614182 7.283604
245 JUN2020 3.633334 2.01490 -0.315795 7.582463
246 JUL2020 2.731959 2.01502 -1.217404 6.681322
247 AUG2020 2.980584 2.01514 -0.969011 6.930179
248 SEP2020 2.779208 2.01525 -1.170617 6.729033
249 OCT2020 2.427833 2.01537 -1.522221 6.377887

Forecasts Only Plot

 Date_of_death = Oct2020 
 Forecast = 2.4278  Date_of_death = Sep2020 
 Forecast = 2.7792  Date_of_death = Sep2020 
 Forecast = 2.7792  Date_of_death = Aug2020 
 Forecast = 2.9806  Date_of_death = Aug2020 
 Forecast = 2.9806  Date_of_death = Jul2020 
 Forecast = 2.7320  Date_of_death = Jul2020 
 Forecast = 2.7320  Date_of_death = Jun2020 
 Forecast = 3.6333  Date_of_death = Jun2020 
 Forecast = 3.6333  Date_of_death = May2020 
 Forecast = 3.3347  Date_of_death = May2020 
 Forecast = 3.3347  Date_of_death = Apr2020 
 Forecast = 3.4361  Date_of_death = Apr2020 
 Forecast = 3.4361  Date_of_death = Mar2020 
 Forecast = 3.0875  Date_of_death = Mar2020 
 Forecast = 3.0875  Date_of_death = Feb2020 
 Forecast = 3.5888  Date_of_death = Feb2020 
 Forecast = 3.5888  Date_of_death = Jan2020 
 Forecast = 3.4986  Date_of_death = Jan2020 
 Forecast = 3.4986  Date_of_death = Dec2019 
 Forecast = 2.3422  Date_of_death = Dec2019 
 Forecast = 2.3422  Date_of_death = Nov2019 
 Forecast = 3.2384  Date_of_death = Oct2020 
 Upper 95% = 6.3779 
 Lower 95% = -1.5222  Date_of_death = Sep2020 
 Upper 95% = 6.7290 
 Lower 95% = -1.1706  Date_of_death = Sep2020 
 Upper 95% = 6.7290 
 Lower 95% = -1.1706  Date_of_death = Aug2020 
 Upper 95% = 6.9302 
 Lower 95% = -0.9690  Date_of_death = Aug2020 
 Upper 95% = 6.9302 
 Lower 95% = -0.9690  Date_of_death = Jul2020 
 Upper 95% = 6.6813 
 Lower 95% = -1.2174  Date_of_death = Jul2020 
 Upper 95% = 6.6813 
 Lower 95% = -1.2174  Date_of_death = Jun2020 
 Upper 95% = 7.5825 
 Lower 95% = -0.3158  Date_of_death = Jun2020 
 Upper 95% = 7.5825 
 Lower 95% = -0.3158  Date_of_death = May2020 
 Upper 95% = 7.2836 
 Lower 95% = -0.6142  Date_of_death = May2020 
 Upper 95% = 7.2836 
 Lower 95% = -0.6142  Date_of_death = Apr2020 
 Upper 95% = 7.3847 
 Lower 95% = -0.5126  Date_of_death = Apr2020 
 Upper 95% = 7.3847 
 Lower 95% = -0.5126  Date_of_death = Mar2020 
 Upper 95% = 7.0359 
 Lower 95% = -0.8610  Date_of_death = Mar2020 
 Upper 95% = 7.0359 
 Lower 95% = -0.8610  Date_of_death = Feb2020 
 Upper 95% = 7.5370 
 Lower 95% = -0.3593  Date_of_death = Feb2020 
 Upper 95% = 7.5370 
 Lower 95% = -0.3593  Date_of_death = Jan2020 
 Upper 95% = 7.4508 
 Lower 95% = -0.4535  Date_of_death = Jan2020 
 Upper 95% = 7.4508 
 Lower 95% = -0.4535  Date_of_death = Dec2019 
 Upper 95% = 6.2941 
 Lower 95% = -1.6097  Date_of_death = Dec2019 
 Upper 95% = 6.2941 
 Lower 95% = -1.6097  Date_of_death = Nov2019 
 Upper 95% = 7.1900 
 Lower 95% = -0.7133
Forecast Only Plot

Forecasts Plot

 X = 21823  Date_of_death = Oct2020 
 Forecast = 2.4278  Date_of_death = Sep2020 
 Forecast = 2.7792  Date_of_death = Sep2020 
 Forecast = 2.7792  Date_of_death = Aug2020 
 Forecast = 2.9806  Date_of_death = Aug2020 
 Forecast = 2.9806  Date_of_death = Jul2020 
 Forecast = 2.7320  Date_of_death = Jul2020 
 Forecast = 2.7320  Date_of_death = Jun2020 
 Forecast = 3.6333  Date_of_death = Jun2020 
 Forecast = 3.6333  Date_of_death = May2020 
 Forecast = 3.3347  Date_of_death = May2020 
 Forecast = 3.3347  Date_of_death = Apr2020 
 Forecast = 3.4361  Date_of_death = Apr2020 
 Forecast = 3.4361  Date_of_death = Mar2020 
 Forecast = 3.0875  Date_of_death = Mar2020 
 Forecast = 3.0875  Date_of_death = Feb2020 
 Forecast = 3.5888  Date_of_death = Feb2020 
 Forecast = 3.5888  Date_of_death = Jan2020 
 Forecast = 3.4986  Date_of_death = Jan2020 
 Forecast = 3.4986  Date_of_death = Dec2019 
 Forecast = 2.3422  Date_of_death = Dec2019 
 Forecast = 2.3422  Date_of_death = Nov2019 
 Forecast = 3.2384  Date_of_death = Nov2019 
 Forecast = 3.2384  Date_of_death = Oct2019 
 Forecast = 2.5208  Date_of_death = Oct2019 
 Forecast = 2.5208  Date_of_death = Sep2019 
 Forecast = 2.9132  Date_of_death = Sep2019 
 Forecast = 2.9132  Date_of_death = Aug2019 
 Forecast = 2.8250  Date_of_death = Aug2019 
 Forecast = 2.8250  Date_of_death = Jul2019 
 Forecast = 2.8481  Date_of_death = Jul2019 
 Forecast = 2.8481  Date_of_death = Jun2019 
 Forecast = 3.8304  Date_of_death = Jun2019 
 Forecast = 3.8304  Date_of_death = May2019 
 Forecast = 3.3508  Date_of_death = May2019 
 Forecast = 3.3508  Date_of_death = Apr2019 
 Forecast = 3.3210  Date_of_death = Apr2019 
 Forecast = 3.3210  Date_of_death = Mar2019 
 Forecast = 3.2437  Date_of_death = Mar2019 
 Forecast = 3.2437  Date_of_death = Feb2019 
 Forecast = 3.7397  Date_of_death = Feb2019 
 Forecast = 3.7397  Date_of_death = Jan2019 
 Forecast = 3.3965  Date_of_death = Jan2019 
 Forecast = 3.3965  Date_of_death = Dec2018 
 Forecast = 2.4707  Date_of_death = Dec2018 
 Forecast = 2.4707  Date_of_death = Nov2018 
 Forecast = 3.3094  Date_of_death = Nov2018 
 Forecast = 3.3094  Date_of_death = Oct2018 
 Forecast = 2.3246  Date_of_death = Oct2018 
 Forecast = 2.3246  Date_of_death = Sep2018 
 Forecast = 2.6769  Date_of_death = Sep2018 
 Forecast = 2.6769  Date_of_death = Aug2018 
 Forecast = 2.8548  Date_of_death = Aug2018 
 Forecast = 2.8548  Date_of_death = Jul2018 
 Forecast = 2.8662  Date_of_death = Jul2018 
 Forecast = 2.8662  Date_of_death = Jun2018 
 Forecast = 3.8217  Date_of_death = Jun2018 
 Forecast = 3.8217  Date_of_death = May2018 
 Forecast = 3.1233  Date_of_death = May2018 
 Forecast = 3.1233  Date_of_death = Apr2018 
 Forecast = 3.0910  Date_of_death = Apr2018 
 Forecast = 3.0910  Date_of_death = Mar2018 
 Forecast = 2.9457  Date_of_death = Mar2018 
 Forecast = 2.9457  Date_of_death = Feb2018 
 Forecast = 3.4167  Date_of_death = Feb2018 
 Forecast = 3.4167  Date_of_death = Jan2018 
 Forecast = 3.0461  Date_of_death = Jan2018 
 Forecast = 3.0461  Date_of_death = Dec2017 
 Forecast = 2.0019  Date_of_death = Dec2017 
 Forecast = 2.0019  Date_of_death = Nov2017 
 Forecast = 3.2034  Date_of_death = Nov2017 
 Forecast = 3.2034  Date_of_death = Oct2017 
 Forecast = 1.8633  Date_of_death = Oct2017 
 Forecast = 1.8633  Date_of_death = Sep2017 
 Forecast = 2.5164  Date_of_death = Sep2017 
 Forecast = 2.5164  Date_of_death = Aug2017 
 Forecast = 2.7010  Date_of_death = Aug2017 
 Forecast = 2.7010  Date_of_death = Jul2017 
 Forecast = 2.7092  Date_of_death = Jul2017 
 Forecast = 2.7092  Date_of_death = Jun2017 
 Forecast = 3.7291  Date_of_death = Jun2017 
 Forecast = 3.7291  Date_of_death = May2017 
 Forecast = 3.1063  Date_of_death = May2017 
 Forecast = 3.1063  Date_of_death = Apr2017 
 Forecast = 2.7763  Date_of_death = Apr2017 
 Forecast = 2.7763  Date_of_death = Mar2017 
 Forecast = 2.6207  Date_of_death = Mar2017 
 Forecast = 2.6207  Date_of_death = Feb2017 
 Forecast = 3.3305  Date_of_death = Feb2017 
 Forecast = 3.3305  Date_of_death = Jan2017 
 Forecast = 2.8998  Date_of_death = Jan2017 
 Forecast = 2.8998  Date_of_death = Dec2016 
 Forecast = 2.0362  Date_of_death = Dec2016 
 Forecast = 2.0362  Date_of_death = Nov2016 
 Forecast = 2.9403  Date_of_death = Nov2016 
 Forecast = 2.9403  Date_of_death = Oct2016 
 Forecast = 1.8875  Date_of_death = Oct2016 
 Forecast = 1.8875  Date_of_death = Sep2016 
 Forecast = 2.2210  Date_of_death = Sep2016 
 Forecast = 2.2210  Date_of_death = Aug2016 
 Forecast = 2.3682  Date_of_death = Aug2016 
 Forecast = 2.3682  Date_of_death = Jul2016 
 Forecast = 2.6246  Date_of_death = Jul2016 
 Forecast = 2.6246  Date_of_death = Jun2016 
 Forecast = 3.7797  Date_of_death = Jun2016 
 Forecast = 3.7797  Date_of_death = May2016 
 Forecast = 2.8922  Date_of_death = May2016 
 Forecast = 2.8922  Date_of_death = Apr2016 
 Forecast = 2.7866  Date_of_death = Apr2016 
 Forecast = 2.7866  Date_of_death = Mar2016 
 Forecast = 2.6056  Date_of_death = Mar2016 
 Forecast = 2.6056  Date_of_death = Feb2016 
 Forecast = 3.0729  Date_of_death = Feb2016 
 Forecast = 3.0729  Date_of_death = Jan2016 
 Forecast = 2.9703  Date_of_death = Jan2016 
 Forecast = 2.9703  Date_of_death = Dec2015 
 Forecast = 2.0478  Date_of_death = Dec2015 
 Forecast = 2.0478  Date_of_death = Nov2015 
 Forecast = 2.6788  Date_of_death = Nov2015 
 Forecast = 2.6788  Date_of_death = Oct2015 
 Forecast = 1.8879  Date_of_death = Oct2015 
 Forecast = 1.8879  Date_of_death = Sep2015 
 Forecast = 2.3014  Date_of_death = Sep2015 
 Forecast = 2.3014  Date_of_death = Aug2015 
 Forecast = 2.5173  Date_of_death = Aug2015 
 Forecast = 2.5173  Date_of_death = Jul2015 
 Forecast = 2.6467  Date_of_death = Jul2015 
 Forecast = 2.6467  Date_of_death = Jun2015 
 Forecast = 4.0121  Date_of_death = Jun2015 
 Forecast = 4.0121  Date_of_death = May2015 
 Forecast = 3.1014  Date_of_death = May2015 
 Forecast = 3.1014  Date_of_death = Apr2015 
 Forecast = 2.9897  Date_of_death = Apr2015 
 Forecast = 2.9897  Date_of_death = Mar2015 
 Forecast = 2.4181  Date_of_death = Mar2015 
 Forecast = 2.4181  Date_of_death = Feb2015 
 Forecast = 2.9182  Date_of_death = Feb2015 
 Forecast = 2.9182  Date_of_death = Jan2015 
 Forecast = 3.1509  Date_of_death = Jan2015 
 Forecast = 3.1509  Date_of_death = Dec2014 
 Forecast = 2.0803  Date_of_death = Dec2014 
 Forecast = 2.0803  Date_of_death = Nov2014 
 Forecast = 2.8855  Date_of_death = Nov2014 
 Forecast = 2.8855  Date_of_death = Oct2014 
 Forecast = 1.8740  Date_of_death = Oct2014 
 Forecast = 1.8740  Date_of_death = Sep2014 
 Forecast = 2.0474  Date_of_death = Sep2014 
 Forecast = 2.0474  Date_of_death = Aug2014 
 Forecast = 2.3875  Date_of_death = Aug2014 
 Forecast = 2.3875  Date_of_death = Jul2014 
 Forecast = 2.5972  Date_of_death = Jul2014 
 Forecast = 2.5972  Date_of_death = Jun2014 
 Forecast = 3.7880  Date_of_death = Jun2014 
 Forecast = 3.7880  Date_of_death = May2014 
 Forecast = 3.0844  Date_of_death = May2014 
 Forecast = 3.0844  Date_of_death = Apr2014 
 Forecast = 2.7855  Date_of_death = Apr2014 
 Forecast = 2.7855  Date_of_death = Mar2014 
 Forecast = 2.4428  Date_of_death = Mar2014 
 Forecast = 2.4428  Date_of_death = Feb2014 
 Forecast = 2.9523  Date_of_death = Feb2014 
 Forecast = 2.9523  Date_of_death = Jan2014 
 Forecast = 2.8454  Date_of_death = Jan2014 
 Forecast = 2.8454  Date_of_death = Dec2013 
 Forecast = 1.9985  Date_of_death = Dec2013 
 Forecast = 1.9985  Date_of_death = Nov2013 
 Forecast = 2.5014  Date_of_death = Nov2013 
 Forecast = 2.5014  Date_of_death = Oct2013 
 Forecast = 1.5528  Date_of_death = Oct2013 
 Forecast = 1.5528  Date_of_death = Sep2013 
 Forecast = 2.0234  Date_of_death = Sep2013 
 Forecast = 2.0234  Date_of_death = Aug2013 
 Forecast = 2.4211  Date_of_death = Aug2013 
 Forecast = 2.4211  Date_of_death = Jul2013 
 Forecast = 2.5797  Date_of_death = Jul2013 
 Forecast = 2.5797  Date_of_death = Jun2013 
 Forecast = 3.9934  Date_of_death = Jun2013 
 Forecast = 3.9934  Date_of_death = May2013 
 Forecast = 3.2460  Date_of_death = May2013 
 Forecast = 3.2460  Date_of_death = Apr2013 
 Forecast = 2.9575  Date_of_death = Apr2013 
 Forecast = 2.9575  Date_of_death = Mar2013 
 Forecast = 2.4128  Date_of_death = Mar2013 
 Forecast = 2.4128  Date_of_death = Feb2013 
 Forecast = 2.6866  Date_of_death = Feb2013 
 Forecast = 2.6866  Date_of_death = Jan2013 
 Forecast = 2.9276  Date_of_death = Jan2013 
 Forecast = 2.9276  Date_of_death = Dec2012 
 Forecast = 2.1041  Date_of_death = Dec2012 
 Forecast = 2.1041  Date_of_death = Nov2012 
 Forecast = 2.6094  Date_of_death = Nov2012 
 Forecast = 2.6094  Date_of_death = Oct2012 
 Forecast = 1.6989  Date_of_death = Oct2012 
 Forecast = 1.6989  Date_of_death = Sep2012 
 Forecast = 2.1162  Date_of_death = Sep2012 
 Forecast = 2.1162  Date_of_death = Aug2012 
 Forecast = 2.5376  Date_of_death = Aug2012 
 Forecast = 2.5376  Date_of_death = Jul2012 
 Forecast = 2.5230  Date_of_death = Jul2012 
 Forecast = 2.5230  Date_of_death = Jun2012 
 Forecast = 4.3043  Date_of_death = Jun2012 
 Forecast = 4.3043  Date_of_death = May2012 
 Forecast = 3.4948  Date_of_death = May2012 
 Forecast = 3.4948  Date_of_death = Apr2012 
 Forecast = 2.9947  Date_of_death = Apr2012 
 Forecast = 2.9947  Date_of_death = Mar2012 
 Forecast = 2.3117  Date_of_death = Mar2012 
 Forecast = 2.3117  Date_of_death = Feb2012 
 Forecast = 2.8195  Date_of_death = Feb2012 
 Forecast = 2.8195  Date_of_death = Jan2012 
 Forecast = 3.1877  Date_of_death = Jan2012 
 Forecast = 3.1877  Date_of_death = Dec2011 
 Forecast = 2.1895  Date_of_death = Dec2011 
 Forecast = 2.1895  Date_of_death = Nov2011 
 Forecast = 2.8428  Date_of_death = Nov2011 
 Forecast = 2.8428  Date_of_death = Oct2011 
 Forecast = 1.8509  Date_of_death = Oct2011 
 Forecast = 1.8509  Date_of_death = Sep2011 
 Forecast = 2.3178  Date_of_death = Sep2011 
 Forecast = 2.3178  Date_of_death = Aug2011 
 Forecast = 2.6883  Date_of_death = Aug2011 
 Forecast = 2.6883  Date_of_death = Jul2011 
 Forecast = 2.3922  Date_of_death = Jul2011 
 Forecast = 2.3922  Date_of_death = Jun2011 
 Forecast = 4.1941  Date_of_death = Jun2011 
 Forecast = 4.1941  Date_of_death = May2011 
 Forecast = 3.5630  Date_of_death = May2011 
 Forecast = 3.5630  Date_of_death = Apr2011 
 Forecast = 3.2201  Date_of_death = Apr2011 
 Forecast = 3.2201  Date_of_death = Mar2011 
 Forecast = 2.3049  Date_of_death = Mar2011 
 Forecast = 2.3049  Date_of_death = Feb2011 
 Forecast = 2.8493  Date_of_death = Feb2011 
 Forecast = 2.8493  Date_of_death = Jan2011 
 Forecast = 3.3419  Date_of_death = Jan2011 
 Forecast = 3.3419  Date_of_death = Dec2010 
 Forecast = 2.3541  Date_of_death = Dec2010 
 Forecast = 2.3541  Date_of_death = Nov2010 
 Forecast = 2.9630  Date_of_death = Nov2010 
 Forecast = 2.9630  Date_of_death = Oct2010 
 Forecast = 1.9721  Date_of_death = Oct2010 
 Forecast = 1.9721  Date_of_death = Sep2010 
 Forecast = 2.4857  Date_of_death = Sep2010 
 Forecast = 2.4857  Date_of_death = Aug2010 
 Forecast = 2.4647  Date_of_death = Aug2010 
 Forecast = 2.4647  Date_of_death = Jul2010 
 Forecast = 2.5791  Date_of_death = Jul2010 
 Forecast = 2.5791  Date_of_death = Jun2010 
 Forecast = 4.0631  Date_of_death = Jun2010 
 Forecast = 4.0631  Date_of_death = May2010 
 Forecast = 3.7793  Date_of_death = May2010 
 Forecast = 3.7793  Date_of_death = Apr2010 
 Forecast = 3.1729  Date_of_death = Apr2010 
 Forecast = 3.1729  Date_of_death = Mar2010 
 Forecast = 2.3769  Date_of_death = Mar2010 
 Forecast = 2.3769  Date_of_death = Feb2010 
 Forecast = 2.5475  Date_of_death = Feb2010 
 Forecast = 2.5475  Date_of_death = Jan2010 
 Forecast = 3.3838  Date_of_death = Jan2010 
 Forecast = 3.3838  Date_of_death = Dec2009 
 Forecast = 2.1472  Date_of_death = Dec2009 
 Forecast = 2.1472  Date_of_death = Nov2009 
 Forecast = 3.1650  Date_of_death = Nov2009 
 Forecast = 3.1650  Date_of_death = Oct2009 
 Forecast = 1.4622  Date_of_death = Oct2009 
 Forecast = 1.4622  Date_of_death = Sep2009 
 Forecast = 2.4661  Date_of_death = Sep2009 
 Forecast = 2.4661  Date_of_death = Aug2009 
 Forecast = 2.4701  Date_of_death = Aug2009 
 Forecast = 2.4701  Date_of_death = Jul2009 
 Forecast = 2.5861  Date_of_death = Jul2009 
 Forecast = 2.5861  Date_of_death = Jun2009 
 Forecast = 4.0311  Date_of_death = Jun2009 
 Forecast = 4.0311  Date_of_death = May2009 
 Forecast = 3.5753  Date_of_death = May2009 
 Forecast = 3.5753  Date_of_death = Apr2009 
 Forecast = 3.3726  Date_of_death = Apr2009 
 Forecast = 3.3726  Date_of_death = Mar2009 
 Forecast = 2.4963  Date_of_death = Mar2009 
 Forecast = 2.4963  Date_of_death = Feb2009 
 Forecast = 2.6129  Date_of_death = Feb2009 
 Forecast = 2.6129  Date_of_death = Jan2009 
 Forecast = 3.0352  Date_of_death = Jan2009 
 Forecast = 3.0352  Date_of_death = Dec2008 
 Forecast = 1.6280  Date_of_death = Dec2008 
 Forecast = 1.6280  Date_of_death = Nov2008 
 Forecast = 3.2623  Date_of_death = Nov2008 
 Forecast = 3.2623  Date_of_death = Oct2008 
 Forecast = 1.3827  Date_of_death = Oct2008 
 Forecast = 1.3827  Date_of_death = Sep2008 
 Forecast = 2.2446  Date_of_death = Sep2008 
 Forecast = 2.2446  Date_of_death = Aug2008 
 Forecast = 2.2311  Date_of_death = Aug2008 
 Forecast = 2.2311  Date_of_death = Jul2008 
 Forecast = 2.6103  Date_of_death = Jul2008 
 Forecast = 2.6103  Date_of_death = Jun2008 
 Forecast = 3.9848  Date_of_death = Jun2008 
 Forecast = 3.9848  Date_of_death = May2008 
 Forecast = 3.2135  Date_of_death = May2008 
 Forecast = 3.2135  Date_of_death = Apr2008 
 Forecast = 3.6075  Date_of_death = Apr2008 
 Forecast = 3.6075  Date_of_death = Mar2008 
 Forecast = 2.6193  Date_of_death = Mar2008 
 Forecast = 2.6193  Date_of_death = Feb2008 
 Forecast = 2.4903  Date_of_death = Feb2008 
 Forecast = 2.4903  Date_of_death = Jan2008 
 Forecast = 2.5400  Date_of_death = Jan2008 
 Forecast = 2.5400  Date_of_death = Dec2007 
 Forecast = 1.5362  Date_of_death = Dec2007 
 Forecast = 1.5362  Date_of_death = Nov2007 
 Forecast = 3.4022  Date_of_death = Nov2007 
 Forecast = 3.4022  Date_of_death = Oct2007 
 Forecast = 1.4044  Date_of_death = Oct2007 
 Forecast = 1.4044  Date_of_death = Sep2007 
 Forecast = 2.1121  Date_of_death = Sep2007 
 Forecast = 2.1121  Date_of_death = Aug2007 
 Forecast = 2.2561  Date_of_death = Aug2007 
 Forecast = 2.2561  Date_of_death = Jul2007 
 Forecast = 2.6888  Date_of_death = Jul2007 
 Forecast = 2.6888  Date_of_death = Jun2007 
 Forecast = 3.9738  Date_of_death = Jun2007 
 Forecast = 3.9738  Date_of_death = May2007 
 Forecast = 3.5623  Date_of_death = May2007 
 Forecast = 3.5623  Date_of_death = Apr2007 
 Forecast = 3.2575  Date_of_death = Apr2007 
 Forecast = 3.2575  Date_of_death = Mar2007 
 Forecast = 2.6903  Date_of_death = Mar2007 
 Forecast = 2.6903  Date_of_death = Feb2007 
 Forecast = 2.5508  Date_of_death = Feb2007 
 Forecast = 2.5508  Date_of_death = Jan2007 
 Forecast = 2.8253  Date_of_death = Jan2007 
 Forecast = 2.8253  Date_of_death = Dec2006 
 Forecast = 1.6624  Date_of_death = Dec2006 
 Forecast = 1.6624  Date_of_death = Nov2006 
 Forecast = 3.6723  Date_of_death = Nov2006 
 Forecast = 3.6723  Date_of_death = Oct2006 
 Forecast = 1.5088  Date_of_death = Oct2006 
 Forecast = 1.5088  Date_of_death = Sep2006 
 Forecast = 1.4814  Date_of_death = Sep2006 
 Forecast = 1.4814  Date_of_death = Aug2006 
 Forecast = 2.4900  Date_of_death = Aug2006 
 Forecast = 2.4900  Date_of_death = Jul2006 
 Forecast = 3.0019  Date_of_death = Jul2006 
 Forecast = 3.0019  Date_of_death = Jun2006 
 Forecast = 4.0019  Date_of_death = Jun2006 
 Forecast = 4.0019  Date_of_death = May2006 
 Forecast = 3.8465  Date_of_death = May2006 
 Forecast = 3.8465  Date_of_death = Apr2006 
 Forecast = 3.1749  Date_of_death = Apr2006 
 Forecast = 3.1749  Date_of_death = Mar2006 
 Forecast = 2.1514  Date_of_death = Mar2006 
 Forecast = 2.1514  Date_of_death = Feb2006 
 Forecast = 1.9596  Date_of_death = Feb2006 
 Forecast = 1.9596  Date_of_death = Jan2006 
 Forecast = 3.1740  Date_of_death = Jan2006 
 Forecast = 3.1740  Date_of_death = Dec2005 
 Forecast = 1.5710  Date_of_death = Dec2005 
 Forecast = 1.5710  Date_of_death = Nov2005 
 Forecast = 3.1553  Date_of_death = Nov2005 
 Forecast = 3.1553  Date_of_death = Oct2005 
 Forecast = 1.3507  Date_of_death = Oct2005 
 Forecast = 1.3507  Date_of_death = Sep2005 
 Forecast = 1.5524  Date_of_death = Sep2005 
 Forecast = 1.5524  Date_of_death = Aug2005 
 Forecast = 2.5542  Date_of_death = Aug2005 
 Forecast = 2.5542  Date_of_death = Jul2005 
 Forecast = 3.3656  Date_of_death = Jul2005 
 Forecast = 3.3656  Date_of_death = Jun2005 
 Forecast = 3.5518  Date_of_death = Jun2005 
 Forecast = 3.5518  Date_of_death = May2005 
 Forecast = 4.1622  Date_of_death = May2005 
 Forecast = 4.1622  Date_of_death = Apr2005 
 Forecast = 3.5750  Date_of_death = Apr2005 
 Forecast = 3.5750  Date_of_death = Mar2005 
 Forecast = 2.3818  Date_of_death = Mar2005 
 Forecast = 2.3818  Date_of_death = Feb2005 
 Forecast = 1.9813  Date_of_death = Feb2005 
 Forecast = 1.9813  Date_of_death = Jan2005 
 Forecast = 3.7438  Date_of_death = Jan2005 
 Forecast = 3.7438  Date_of_death = Dec2004 
 Forecast = 1.4915  Date_of_death = Dec2004 
 Forecast = 1.4915  Date_of_death = Nov2004 
 Forecast = 3.7534  Date_of_death = Nov2004 
 Forecast = 3.7534  Date_of_death = Oct2004 
 Forecast = 1.2502  Date_of_death = Oct2004 
 Forecast = 1.2502  Date_of_death = Sep2004 
 Forecast = 1.4981  Date_of_death = Sep2004 
 Forecast = 1.4981  Date_of_death = Aug2004 
 Forecast = 2.7514  Date_of_death = Aug2004 
 Forecast = 2.7514  Date_of_death = Jul2004 
 Forecast = 4.0148  Date_of_death = Jul2004 
 Forecast = 4.0148  Date_of_death = Jun2004 
 Forecast = 3.0020  Date_of_death = Jun2004 
 Forecast = 3.0020  Date_of_death = May2004 
 Forecast = 3.7420  Date_of_death = May2004 
 Forecast = 3.7420  Date_of_death = Apr2004 
 Forecast = 2.9784  Date_of_death = Apr2004 
 Forecast = 2.9784  Date_of_death = Mar2004 
 Forecast = 1.4577  Date_of_death = Mar2004 
 Forecast = 1.4577  Date_of_death = Feb2004 
 Forecast = 2.2119  Date_of_death = Feb2004 
 Forecast = 2.2119  Date_of_death = Jan2004 
 Forecast = 4.3049  Date_of_death = Jan2004 
 Forecast = 4.3049  Date_of_death = Dec2003 
 Forecast = 1.6395  Date_of_death = Dec2003 
 Forecast = 1.6395  Date_of_death = Nov2003 
 Forecast = 4.3133  Date_of_death = Nov2003 
 Forecast = 4.3133  Date_of_death = Oct2003 
 Forecast = 1.3137  Date_of_death = Oct2003 
 Forecast = 1.3137  Date_of_death = Sep2003 
 Forecast = 1.3107  Date_of_death = Sep2003 
 Forecast = 1.3107  Date_of_death = Aug2003 
 Forecast = 2.6421  Date_of_death = Aug2003 
 Forecast = 2.6421  Date_of_death = Jul2003 
 Forecast = 4.9887  Date_of_death = Jul2003 
 Forecast = 4.9887  Date_of_death = Jun2003 
 Forecast = 2.9884  Date_of_death = Jun2003 
 Forecast = 2.9884  Date_of_death = May2003 
 Forecast = 4.3296  Date_of_death = May2003 
 Forecast = 4.3296  Date_of_death = Apr2003 
 Forecast = 3.3344  Date_of_death = Apr2003 
 Forecast = 3.3344  Date_of_death = Mar2003 
 Forecast = 0.9942  Date_of_death = Mar2003 
 Forecast = 0.9942  Date_of_death = Feb2003 
 Forecast = 2.6667  Date_of_death = Feb2003 
 Forecast = 2.6667  Date_of_death = Jan2003 
 Forecast = 6.0100  Date_of_death = Jan2003 
 Forecast = 6.0100  Date_of_death = Dec2002 
 Forecast = 1.0058  Date_of_death = Dec2002 
 Forecast = 1.0058  Date_of_death = Nov2002 
 Forecast = 3.5001  Date_of_death = Nov2002 
 Forecast = 3.5001  Date_of_death = Oct2002 
 Forecast = 0.9979  Date_of_death = Oct2002 
 Forecast = 0.9979  Date_of_death = Sep2002 
 Forecast = 1.4993  Date_of_death = Sep2002 
 Forecast = 1.4993  Date_of_death = Aug2002 
 Forecast = 3.5059  Date_of_death = Aug2002 
 Forecast = 3.5059  Date_of_death = Jul2002 
 Forecast = 4.5027  Date_of_death = Jul2002 
 Forecast = 4.5027  Date_of_death = Jun2002 
 Forecast = 1.4916  Date_of_death = Jun2002 
 Forecast = 1.4916  Date_of_death = May2002 
 Forecast = 4.4927  Date_of_death = May2002 
 Forecast = 4.4927  Date_of_death = Apr2002 
 Forecast = 4.5015  Date_of_death = Apr2002 
 Forecast = 4.5015  Date_of_death = Mar2002 
 Forecast = 1.0018  Date_of_death = Mar2002 
 Forecast = 1.0018  Date_of_death = Feb2002 
 Forecast = 3.5085  Date_of_death = Feb2002 
 Forecast = 3.5085  Date_of_death = Jan2002 
 Forecast = 6.0030  Date_of_death = Jan2002 
 Forecast = 6.0030  Date_of_death = Dec2001 
 Forecast = 1.0043  Date_of_death = Dec2001 
 Forecast = 1.0043  Date_of_death = Nov2001 
 Forecast = 6.0133  Date_of_death = Nov2001 
 Forecast = 6.0133  Date_of_death = Oct2001 
 Forecast = 1.0152  Date_of_death = Oct2001 
 Forecast = 1.0152  Date_of_death = Sep2001 
 Forecast = 1.0156  Date_of_death = Sep2001 
 Forecast = 1.0156  Date_of_death = Aug2001 
 Forecast = 1.0097  Date_of_death = Aug2001 
 Forecast = 1.0097  Date_of_death = Jul2001 
 Forecast = 3.0063  Date_of_death = Jul2001 
 Forecast = 3.0063  Date_of_death = Jun2001 
 Forecast = 1.0055  Date_of_death = Jun2001 
 Forecast = 1.0055  Date_of_death = May2001 
 Forecast = 3.0015  Date_of_death = May2001 
 Forecast = 3.0015  Date_of_death = Apr2001 
 Forecast = 6.0064  Date_of_death = Apr2001 
 Forecast = 6.0064  Date_of_death = Mar2001 
 Forecast = 1.0071  Date_of_death = Mar2001 
 Forecast = 1.0071  Date_of_death = Feb2001 
 Forecast = 1.0000  Date_of_death = Oct2019 
 incidents = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 6.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 1.0000  Date_of_death = May2019 
 incidents = 4.0000  Date_of_death = Apr2019 
 incidents = 6.0000  Date_of_death = Mar2019 
 incidents = 1.0000  Date_of_death = Feb2019 
 incidents = 2.0000  Date_of_death = Jan2019 
 incidents = 6.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 3.0000  Date_of_death = Oct2018 
 incidents = 6.0000  Date_of_death = Sep2018 
 incidents = 6.0000  Date_of_death = Aug2018 
 incidents = 2.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 3.0000  Date_of_death = May2018 
 incidents = 6.0000  Date_of_death = Apr2018 
 incidents = 6.0000  Date_of_death = Mar2018 
 incidents = 6.0000  Date_of_death = Feb2018 
 incidents = 6.0000  Date_of_death = Jan2018 
 incidents = 6.0000  Date_of_death = Dec2017 
 incidents = 6.0000  Date_of_death = Nov2017 
 incidents = 1.0000  Date_of_death = Oct2017 
 incidents = 6.0000  Date_of_death = Sep2017 
 incidents = 2.0000  Date_of_death = Aug2017 
 incidents = 2.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 2.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 6.0000  Date_of_death = Mar2017 
 incidents = 6.0000  Date_of_death = Feb2017 
 incidents = 3.0000  Date_of_death = Jan2017 
 incidents = 4.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 6.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 6.0000  Date_of_death = Aug2016 
 incidents = 6.0000  Date_of_death = Jul2016 
 incidents = 2.0000  Date_of_death = Jun2016 
 incidents = 1.0000  Date_of_death = May2016 
 incidents = 4.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 2.0000  Date_of_death = Feb2016 
 incidents = 6.0000  Date_of_death = Jan2016 
 incidents = 1.0000  Date_of_death = Dec2015 
 incidents = 1.0000  Date_of_death = Nov2015 
 incidents = 6.0000  Date_of_death = Oct2015 
 incidents = 1.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 1.0000  Date_of_death = Jul2015 
 incidents = 3.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 6.0000  Date_of_death = Feb2015 
 incidents = 6.0000  Date_of_death = Jan2015 
 incidents = 1.0000  Date_of_death = Dec2014 
 incidents = 2.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 3.0000  Date_of_death = Sep2014 
 incidents = 6.0000  Date_of_death = Aug2014 
 incidents = 4.0000  Date_of_death = Jul2014 
 incidents = 3.0000  Date_of_death = Jun2014 
 incidents = 6.0000  Date_of_death = May2014 
 incidents = 2.0000  Date_of_death = Apr2014 
 incidents = 4.0000  Date_of_death = Mar2014 
 incidents = 1.0000  Date_of_death = Feb2014 
 incidents = 2.0000  Date_of_death = Jan2014 
 incidents = 6.0000  Date_of_death = Dec2013 
 incidents = 2.0000  Date_of_death = Nov2013 
 incidents = 6.0000  Date_of_death = Oct2013 
 incidents = 4.0000  Date_of_death = Sep2013 
 incidents = 1.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 2.0000  Date_of_death = Jun2013 
 incidents = 1.0000  Date_of_death = May2013 
 incidents = 1.0000  Date_of_death = Apr2013 
 incidents = 1.0000  Date_of_death = Mar2013 
 incidents = 3.0000  Date_of_death = Feb2013 
 incidents = 6.0000  Date_of_death = Jan2013 
 incidents = 2.0000  Date_of_death = Dec2012 
 incidents = 1.0000  Date_of_death = Nov2012 
 incidents = 2.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 2.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 4.0000  Date_of_death = Jun2012 
 incidents = 1.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 3.0000  Date_of_death = Mar2012 
 incidents = 4.0000  Date_of_death = Feb2012 
 incidents = 2.0000  Date_of_death = Jan2012 
 incidents = 1.0000  Date_of_death = Dec2011 
 incidents = 2.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 1.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 2.0000  Date_of_death = Jul2011 
 incidents = 5.0000  Date_of_death = Jun2011 
 incidents = 6.0000  Date_of_death = May2011 
 incidents = 3.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 3.0000  Date_of_death = Feb2011 
 incidents = 3.0000  Date_of_death = Jan2011 
 incidents = 2.0000  Date_of_death = Dec2010 
 incidents = 1.0000  Date_of_death = Nov2010 
 incidents = 2.0000  Date_of_death = Oct2010 
 incidents = 1.0000  Date_of_death = Sep2010 
 incidents = 1.0000  Date_of_death = Aug2010 
 incidents = 5.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 6.0000  Date_of_death = May2010 
 incidents = 2.0000  Date_of_death = Apr2010 
 incidents = 4.0000  Date_of_death = Mar2010 
 incidents = 2.0000  Date_of_death = Feb2010 
 incidents = 6.0000  Date_of_death = Jan2010 
 incidents = 3.0000  Date_of_death = Dec2009 
 incidents = 4.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 6.0000  Date_of_death = Sep2009 
 incidents = 2.0000  Date_of_death = Aug2009 
 incidents = 2.0000  Date_of_death = Jul2009 
 incidents = 2.0000  Date_of_death = Jun2009 
 incidents = 4.0000  Date_of_death = May2009 
 incidents = 5.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 1.0000  Date_of_death = Feb2009 
 incidents = 2.0000  Date_of_death = Jan2009 
 incidents = 6.0000  Date_of_death = Dec2008 
 incidents = 6.0000  Date_of_death = Nov2008 
 incidents = 2.0000  Date_of_death = Oct2008 
 incidents = 2.0000  Date_of_death = Sep2008 
 incidents = 4.0000  Date_of_death = Aug2008 
 incidents = 4.0000  Date_of_death = Jul2008 
 incidents = 2.0000  Date_of_death = Jun2008 
 incidents = 4.0000  Date_of_death = May2008 
 incidents = 6.0000  Date_of_death = Apr2008 
 incidents = 1.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 3.0000  Date_of_death = Jan2008 
 incidents = 6.0000  Date_of_death = Dec2007 
 incidents = 2.0000  Date_of_death = Nov2007 
 incidents = 2.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 3.0000  Date_of_death = Aug2007 
 incidents = 2.0000  Date_of_death = Jul2007 
 incidents = 2.0000  Date_of_death = Jun2007 
 incidents = 4.0000  Date_of_death = May2007 
 incidents = 1.0000  Date_of_death = Apr2007 
 incidents = 6.0000  Date_of_death = Mar2007 
 incidents = 2.0000  Date_of_death = Feb2007 
 incidents = 2.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 1.0000  Date_of_death = Nov2006 
 incidents = 2.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 6.0000  Date_of_death = Aug2006 
 incidents = 1.0000  Date_of_death = Jul2006 
 incidents = 1.0000  Date_of_death = Jun2006 
 incidents = 4.0000  Date_of_death = May2006 
 incidents = 2.0000  Date_of_death = Apr2006 
 incidents = 4.0000  Date_of_death = Mar2006 
 incidents = 6.0000  Date_of_death = Feb2006 
 incidents = 6.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 2.0000  Date_of_death = Nov2005 
 incidents = 6.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 2.0000  Date_of_death = Jul2005 
 incidents = 1.0000  Date_of_death = Jun2005 
 incidents = 6.0000  Date_of_death = May2005 
 incidents = 2.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 2.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 2.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 2.0000  Date_of_death = Sep2004 
 incidents = 2.0000  Date_of_death = Aug2004 
 incidents = 2.0000  Date_of_death = Jul2004 
 incidents = 1.0000  Date_of_death = Jun2004 
 incidents = 6.0000  Date_of_death = May2004 
 incidents = 6.0000  Date_of_death = Apr2004 
 incidents = 6.0000  Date_of_death = Mar2004 
 incidents = 6.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 2.0000  Date_of_death = Oct2003 
 incidents = 1.0000  Date_of_death = Sep2003 
 incidents = 2.0000  Date_of_death = Aug2003 
 incidents = 3.0000  Date_of_death = Jul2003 
 incidents = 1.0000  Date_of_death = Jun2003 
 incidents = 3.0000  Date_of_death = May2003 
 incidents = 2.0000  Date_of_death = Apr2003 
 incidents = 2.0000  Date_of_death = Mar2003 
 incidents = 3.0000  Date_of_death = Feb2003 
 incidents = 1.0000  Date_of_death = Jan2003 
 incidents = 1.0000  Date_of_death = Dec2002 
 incidents = 3.0000  Date_of_death = Nov2002 
 incidents = 6.0000  Date_of_death = Oct2002 
 incidents = 2.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 1.0000  Date_of_death = Jul2002 
 incidents = 6.0000  Date_of_death = Jun2002 
 incidents = 6.0000  Date_of_death = May2002 
 incidents = 4.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 6.0000  Date_of_death = Dec2001 
 incidents = 1.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 1.0000  Date_of_death = Sep2001 
 incidents = 2.0000  Date_of_death = Aug2001 
 incidents = 6.0000  Date_of_death = Jul2001 
 incidents = 6.0000  Date_of_death = Jun2001 
 incidents = 2.0000  Date_of_death = May2001 
 incidents = 6.0000  Date_of_death = Apr2001 
 incidents = 3.0000  Date_of_death = Mar2001 
 incidents = 1.0000  Date_of_death = Feb2001 
 incidents = 6.0000  Date_of_death = Oct2020 
 Upper 95% = 6.3779 
 Lower 95% = -1.5222  Date_of_death = Sep2020 
 Upper 95% = 6.7290 
 Lower 95% = -1.1706  Date_of_death = Sep2020 
 Upper 95% = 6.7290 
 Lower 95% = -1.1706  Date_of_death = Aug2020 
 Upper 95% = 6.9302 
 Lower 95% = -0.9690  Date_of_death = Aug2020 
 Upper 95% = 6.9302 
 Lower 95% = -0.9690  Date_of_death = Jul2020 
 Upper 95% = 6.6813 
 Lower 95% = -1.2174  Date_of_death = Jul2020 
 Upper 95% = 6.6813 
 Lower 95% = -1.2174  Date_of_death = Jun2020 
 Upper 95% = 7.5825 
 Lower 95% = -0.3158  Date_of_death = Jun2020 
 Upper 95% = 7.5825 
 Lower 95% = -0.3158  Date_of_death = May2020 
 Upper 95% = 7.2836 
 Lower 95% = -0.6142  Date_of_death = May2020 
 Upper 95% = 7.2836 
 Lower 95% = -0.6142  Date_of_death = Apr2020 
 Upper 95% = 7.3847 
 Lower 95% = -0.5126  Date_of_death = Apr2020 
 Upper 95% = 7.3847 
 Lower 95% = -0.5126  Date_of_death = Mar2020 
 Upper 95% = 7.0359 
 Lower 95% = -0.8610  Date_of_death = Mar2020 
 Upper 95% = 7.0359 
 Lower 95% = -0.8610  Date_of_death = Feb2020 
 Upper 95% = 7.5370 
 Lower 95% = -0.3593  Date_of_death = Feb2020 
 Upper 95% = 7.5370 
 Lower 95% = -0.3593  Date_of_death = Jan2020 
 Upper 95% = 7.4508 
 Lower 95% = -0.4535  Date_of_death = Jan2020 
 Upper 95% = 7.4508 
 Lower 95% = -0.4535  Date_of_death = Dec2019 
 Upper 95% = 6.2941 
 Lower 95% = -1.6097  Date_of_death = Dec2019 
 Upper 95% = 6.2941 
 Lower 95% = -1.6097  Date_of_death = Nov2019 
 Upper 95% = 7.1900 
 Lower 95% = -0.7133
Forecast Plot

County=Dallas

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.13924 1.87129

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.13924 1.87129

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.78955
Level Error Variance 1.04608
Season Error Variance 3.21531

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -474.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 955.76
BIC (smaller is better) 966.01
AICC (smaller is better) 955.87
HQIC (smaller is better) 959.9
CAIC (smaller is better) 969.01
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.11062 0.33246 9.36 <.0001
Level Error Variance 0.00990 0.01322 0.75 0.4539
Season Error Variance 0.01150 0.01634 0.70 0.4814

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 3.91976
Root Mean Squared Error 1.97984
Mean Absolute Percentage Error 98.83590
Maximum Percent Error 80.00000
R-Square -0.13177
Adjusted R-Square -0.14197
Random Walk R-Square 0.33384
Amemiya's Adjusted R-Square -0.16236

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 5.38 0.0204
Level 1 34.78 <.0001
Season 11 6.50 0.8382

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.441238724 0.4139205

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01150

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 6.2622 
 Percent = 0.0429  Prediction Error = 6.1976 
 Percent = 0.0521  Prediction Error = 6.1976 
 Percent = 0.0521  Prediction Error = 6.1329 
 Percent = 0.0631  Prediction Error = 6.1329 
 Percent = 0.0631  Prediction Error = 6.0683 
 Percent = 0.076  Prediction Error = 6.0683 
 Percent = 0.076  Prediction Error = 6.0037 
 Percent = 0.0911  Prediction Error = 6.0037 
 Percent = 0.0911  Prediction Error = 5.939 
 Percent = 0.1086  Prediction Error = 5.939 
 Percent = 0.1086  Prediction Error = 5.8744 
 Percent = 0.129  Prediction Error = 5.8744 
 Percent = 0.129  Prediction Error = 5.8098 
 Percent = 0.1525  Prediction Error = 5.8098 
 Percent = 0.1525  Prediction Error = 5.7451 
 Percent = 0.1794  Prediction Error = 5.7451 
 Percent = 0.1794  Prediction Error = 5.6805 
 Percent = 0.2101  Prediction Error = 5.6805 
 Percent = 0.2101  Prediction Error = 5.6159 
 Percent = 0.245  Prediction Error = 5.6159 
 Percent = 0.245  Prediction Error = 5.5512 
 Percent = 0.2845  Prediction Error = 5.5512 
 Percent = 0.2845  Prediction Error = 5.4866 
 Percent = 0.3289  Prediction Error = 5.4866 
 Percent = 0.3289  Prediction Error = 5.422 
 Percent = 0.3787  Prediction Error = 5.422 
 Percent = 0.3787  Prediction Error = 5.3573 
 Percent = 0.4341  Prediction Error = 5.3573 
 Percent = 0.4341  Prediction Error = 5.2927 
 Percent = 0.4957  Prediction Error = 5.2927 
 Percent = 0.4957  Prediction Error = 5.2281 
 Percent = 0.5637  Prediction Error = 5.2281 
 Percent = 0.5637  Prediction Error = 5.1634 
 Percent = 0.6386  Prediction Error = 5.1634 
 Percent = 0.6386  Prediction Error = 5.0988 
 Percent = 0.7207  Prediction Error = 5.0988 
 Percent = 0.7207  Prediction Error = 5.0342 
 Percent = 0.8103  Prediction Error = 5.0342 
 Percent = 0.8103  Prediction Error = 4.9695 
 Percent = 0.9078  Prediction Error = 4.9695 
 Percent = 0.9078  Prediction Error = 4.9049 
 Percent = 1.0134  Prediction Error = 4.9049 
 Percent = 1.0134  Prediction Error = 4.8403 
 Percent = 1.1276  Prediction Error = 4.8403 
 Percent = 1.1276  Prediction Error = 4.7756 
 Percent = 1.2505  Prediction Error = 4.7756 
 Percent = 1.2505  Prediction Error = 4.711 
 Percent = 1.3824  Prediction Error = 4.711 
 Percent = 1.3824  Prediction Error = 4.6463 
 Percent = 1.5236  Prediction Error = 4.6463 
 Percent = 1.5236  Prediction Error = 4.5817 
 Percent = 1.6744  Prediction Error = 4.5817 
 Percent = 1.6744  Prediction Error = 4.5171 
 Percent = 1.8349  Prediction Error = 4.5171 
 Percent = 1.8349  Prediction Error = 4.4524 
 Percent = 2.0054  Prediction Error = 4.4524 
 Percent = 2.0054  Prediction Error = 4.3878 
 Percent = 2.1862  Prediction Error = 4.3878 
 Percent = 2.1862  Prediction Error = 4.3232 
 Percent = 2.3774  Prediction Error = 4.3232 
 Percent = 2.3774  Prediction Error = 4.2585 
 Percent = 2.5793  Prediction Error = 4.2585 
 Percent = 2.5793  Prediction Error = 4.1939 
 Percent = 2.7921  Prediction Error = 4.1939 
 Percent = 2.7921  Prediction Error = 4.1293 
 Percent = 3.0159  Prediction Error = 4.1293 
 Percent = 3.0159  Prediction Error = 4.0646 
 Percent = 3.251  Prediction Error = 4.0646 
 Percent = 3.251  Prediction Error = 4 
 Percent = 3.4975  Prediction Error = 4 
 Percent = 3.4975  Prediction Error = 3.9354 
 Percent = 3.7555  Prediction Error = 3.9354 
 Percent = 3.7555  Prediction Error = 3.8707 
 Percent = 4.025  Prediction Error = 3.8707 
 Percent = 4.025  Prediction Error = 3.8061 
 Percent = 4.3062  Prediction Error = 3.8061 
 Percent = 4.3062  Prediction Error = 3.7415 
 Percent = 4.5988  Prediction Error = 3.7415 
 Percent = 4.5988  Prediction Error = 3.6768 
 Percent = 4.9027  Prediction Error = 3.6768 
 Percent = 4.9027  Prediction Error = 3.6122 
 Percent = 5.2177  Prediction Error = 3.6122 
 Percent = 5.2177  Prediction Error = 3.5476 
 Percent = 5.5435  Prediction Error = 3.5476 
 Percent = 5.5435  Prediction Error = 3.4183 
 Percent = 6.225  Prediction Error = 3.4183 
 Percent = 6.225  Prediction Error = 2.8366 
 Percent = 9.59  Prediction Error = 2.8366 
 Percent = 9.59  Prediction Error = 2.7073 
 Percent = 10.334  Prediction Error = 2.7073 
 Percent = 10.334  Prediction Error = 2.578 
 Percent = 11.044  Prediction Error = 2.578 
 Percent = 11.044  Prediction Error = 2.5134 
 Percent = 11.382  Prediction Error = 2.5134 
 Percent = 11.382  Prediction Error = 2.4488 
 Percent = 11.706  Prediction Error = 2.4488 
 Percent = 11.706  Prediction Error = 2.3841 
 Percent = 12.015  Prediction Error = 2.3841 
 Percent = 12.015  Prediction Error = 2.3195 
 Percent = 12.307  Prediction Error = 2.3195 
 Percent = 12.307  Prediction Error = 2.2549 
 Percent = 12.58  Prediction Error = 2.2549 
 Percent = 12.58  Prediction Error = 2.1902 
 Percent = 12.834  Prediction Error = 2.1902 
 Percent = 12.834  Prediction Error = 2.1256 
 Percent = 13.067  Prediction Error = 2.1256 
 Percent = 13.067  Prediction Error = 2.061 
 Percent = 13.279  Prediction Error = 2.061 
 Percent = 13.279  Prediction Error = 1.9963 
 Percent = 13.469  Prediction Error = 1.9963 
 Percent = 13.469  Prediction Error = 1.9317 
 Percent = 13.638  Prediction Error = 1.9317 
 Percent = 13.638  Prediction Error = 1.8671 
 Percent = 13.785  Prediction Error = 1.8671 
 Percent = 13.785  Prediction Error = 1.8024 
 Percent = 13.91  Prediction Error = 1.8024 
 Percent = 13.91  Prediction Error = 1.7378 
 Percent = 14.015  Prediction Error = 1.7378 
 Percent = 14.015  Prediction Error = 1.6731 
 Percent = 14.1  Prediction Error = 1.6731 
 Percent = 14.1  Prediction Error = 1.6085 
 Percent = 14.167  Prediction Error = 1.6085 
 Percent = 14.167  Prediction Error = 1.5439 
 Percent = 14.216  Prediction Error = 1.5439 
 Percent = 14.216  Prediction Error = 1.4792 
 Percent = 14.249  Prediction Error = 1.4792 
 Percent = 14.249  Prediction Error = 1.4146 
 Percent = 14.267  Prediction Error = 1.4146 
 Percent = 14.267  Prediction Error = 1.35 
 Percent = 14.273  Prediction Error = 1.35 
 Percent = 14.273  Prediction Error = 1.2853 
 Percent = 14.268  Prediction Error = 1.2853 
 Percent = 14.268  Prediction Error = 1.2207 
 Percent = 14.255  Prediction Error = 1.2207 
 Percent = 14.255  Prediction Error = 1.1561 
 Percent = 14.234  Prediction Error = 1.1561 
 Percent = 14.234  Prediction Error = 1.0914 
 Percent = 14.208  Prediction Error = 1.0914 
 Percent = 14.208  Prediction Error = 1.0268 
 Percent = 14.178  Prediction Error = 1.0268 
 Percent = 14.178  Prediction Error = 0.8975 
 Percent = 14.116  Prediction Error = 0.8975 
 Percent = 14.116  Prediction Error = 0.8329 
 Percent = 14.087  Prediction Error = 0.8329 
 Percent = 14.087  Prediction Error = 0.7683 
 Percent = 14.06  Prediction Error = 0.7683 
 Percent = 14.06  Prediction Error = 0.7036 
 Percent = 14.037  Prediction Error = 0.7036 
 Percent = 14.037  Prediction Error = 0.639 
 Percent = 14.02  Prediction Error = 0.639 
 Percent = 14.02  Prediction Error = 0.5744 
 Percent = 14.009  Prediction Error = 0.5744 
 Percent = 14.009  Prediction Error = 0.5097 
 Percent = 14.004  Prediction Error = 0.5097 
 Percent = 14.004  Prediction Error = 0.4451 
 Percent = 14.007  Prediction Error = 0.4451 
 Percent = 14.007  Prediction Error = 0.3805 
 Percent = 14.018  Prediction Error = 0.3805 
 Percent = 14.018  Prediction Error = 0.3158 
 Percent = 14.037  Prediction Error = 0.3158 
 Percent = 14.037  Prediction Error = 0.2512 
 Percent = 14.064  Prediction Error = 0.2512 
 Percent = 14.064  Prediction Error = 0.1866 
 Percent = 14.1  Prediction Error = 0.1866 
 Percent = 14.1  Prediction Error = 0.1219 
 Percent = 14.144  Prediction Error = 0.1219 
 Percent = 14.144  Prediction Error = 0.0573 
 Percent = 14.196  Prediction Error = 0.0573 
 Percent = 14.196  Prediction Error = -0.007 
 Percent = 14.257  Prediction Error = -0.007 
 Percent = 14.257  Prediction Error = -0.072 
 Percent = 14.325  Prediction Error = -0.072 
 Percent = 14.325  Prediction Error = -0.137 
 Percent = 14.401  Prediction Error = -0.137 
 Percent = 14.401  Prediction Error = -0.201 
 Percent = 14.484  Prediction Error = -0.201 
 Percent = 14.484  Prediction Error = -0.266 
 Percent = 14.574  Prediction Error = -0.266 
 Percent = 14.574  Prediction Error = -0.331 
 Percent = 14.67  Prediction Error = -0.331 
 Percent = 14.67  Prediction Error = -0.395 
 Percent = 14.771  Prediction Error = -0.395 
 Percent = 14.771  Prediction Error = -0.46 
 Percent = 14.877  Prediction Error = -0.46 
 Percent = 14.877  Prediction Error = -0.524 
 Percent = 14.987  Prediction Error = -0.524 
 Percent = 14.987  Prediction Error = -0.654 
 Percent = 15.215  Prediction Error = -0.654 
 Percent = 15.215  Prediction Error = -0.848 
 Percent = 15.558  Prediction Error = -0.848 
 Percent = 15.558  Prediction Error = -0.912 
 Percent = 15.667  Prediction Error = -0.912 
 Percent = 15.667  Prediction Error = -0.977 
 Percent = 15.77  Prediction Error = -0.977 
 Percent = 15.77  Prediction Error = -1.042 
 Percent = 15.866  Prediction Error = -1.042 
 Percent = 15.866  Prediction Error = -1.106 
 Percent = 15.953  Prediction Error = -1.106 
 Percent = 15.953  Prediction Error = -1.171 
 Percent = 16.029  Prediction Error = -1.171 
 Percent = 16.029  Prediction Error = -1.235 
 Percent = 16.092  Prediction Error = -1.235 
 Percent = 16.092  Prediction Error = -1.3 
 Percent = 16.139  Prediction Error = -1.3 
 Percent = 16.139  Prediction Error = -1.365 
 Percent = 16.169  Prediction Error = -1.365 
 Percent = 16.169  Prediction Error = -1.429 
 Percent = 16.181  Prediction Error = -1.429 
 Percent = 16.181  Prediction Error = -1.494 
 Percent = 16.172  Prediction Error = -1.494 
 Percent = 16.172  Prediction Error = -1.559 
 Percent = 16.14  Prediction Error = -1.559 
 Percent = 16.14  Prediction Error = -1.623 
 Percent = 16.085  Prediction Error = -1.623 
 Percent = 16.085  Prediction Error = -1.688 
 Percent = 16.005  Prediction Error = -1.688 
 Percent = 16.005  Prediction Error = -1.752 
 Percent = 15.899  Prediction Error = -1.752 
 Percent = 15.899  Prediction Error = -1.817 
 Percent = 15.766  Prediction Error = -1.817 
 Percent = 15.766  Prediction Error = -1.882 
 Percent = 15.606  Prediction Error = -1.882 
 Percent = 15.606  Prediction Error = -1.946 
 Percent = 15.419  Prediction Error = -1.946 
 Percent = 15.419  Prediction Error = -2.011 
 Percent = 15.204  Prediction Error = -2.011 
 Percent = 15.204  Prediction Error = -2.076 
 Percent = 14.963  Prediction Error = -2.076 
 Percent = 14.963  Prediction Error = -2.14 
 Percent = 14.696  Prediction Error = -2.14 
 Percent = 14.696  Prediction Error = -2.205 
 Percent = 14.404  Prediction Error = -2.205 
 Percent = 14.404  Prediction Error = -2.27 
 Percent = 14.088  Prediction Error = -2.27 
 Percent = 14.088  Prediction Error = -2.334 
 Percent = 13.749  Prediction Error = -2.334 
 Percent = 13.749  Prediction Error = -2.399 
 Percent = 13.39  Prediction Error = -2.399 
 Percent = 13.39  Prediction Error = -2.463 
 Percent = 13.012  Prediction Error = -2.463 
 Percent = 13.012  Prediction Error = -3.174 
 Percent = 8.2368  Prediction Error = -3.174 
 Percent = 8.2368  Prediction Error = -3.304 
 Percent = 7.3783  Prediction Error = -3.304 
 Percent = 7.3783  Prediction Error = -3.433 
 Percent = 6.5583  Prediction Error = -3.433 
 Percent = 6.5583  Prediction Error = -3.498 
 Percent = 6.1658  Prediction Error = -3.498 
 Percent = 6.1658  Prediction Error = -3.562 
 Percent = 5.7861  Prediction Error = -3.562 
 Percent = 5.7861  Prediction Error = -3.627 
 Percent = 5.4199  Prediction Error = -3.627 
 Percent = 5.4199  Prediction Error = -3.692 
 Percent = 5.0678  Prediction Error = -3.692 
 Percent = 5.0678  Prediction Error = -3.756 
 Percent = 4.7302  Prediction Error = -3.756 
 Percent = 4.7302  Prediction Error = -3.821 
 Percent = 4.4073  Prediction Error = -3.821 
 Percent = 4.4073  Prediction Error = -3.885 
 Percent = 4.0993  Prediction Error = -3.885 
 Percent = 4.0993  Prediction Error = -3.95 
 Percent = 3.8061  Prediction Error = -3.95 
 Percent = 3.8061  Prediction Error = -4.015 
 Percent = 3.5276  Prediction Error = -4.015 
 Percent = 3.5276  Prediction Error = -4.079 
 Percent = 3.2637  Prediction Error = -4.079 
 Percent = 3.2637  Prediction Error = -4.144 
 Percent = 3.0141  Prediction Error = -4.144 
 Percent = 3.0141  Prediction Error = -4.209 
 Percent = 2.7785  Prediction Error = -4.209 
 Percent = 2.7785  Prediction Error = -4.273 
 Percent = 2.5565  Prediction Error = -4.273 
 Percent = 2.5565  Prediction Error = -4.338 
 Percent = 2.3477  Prediction Error = -4.338 
 Percent = 2.3477  Prediction Error = -4.403 
 Percent = 2.1518  Prediction Error = -4.403 
 Percent = 2.1518  Prediction Error = -4.467 
 Percent = 1.9681  Prediction Error = -4.467 
 Percent = 1.9681  Prediction Error = -4.532 
 Percent = 1.7964  Prediction Error = -4.532 
 Percent = 1.7964  Prediction Error = -4.596 
 Percent = 1.636  Prediction Error = -4.596 
 Percent = 1.636  Prediction Error = -4.661 
 Percent = 1.4866  Prediction Error = -4.661 
 Percent = 1.4866  Prediction Error = -4.726 
 Percent = 1.3476  Prediction Error = -4.726 
 Percent = 1.3476  Prediction Error = -4.79 
 Percent = 1.2186  Prediction Error = -4.79 
 Percent = 1.2186  Prediction Error = -4.855 
 Percent = 1.0992  Prediction Error = -4.855 
 Percent = 1.0992  Prediction Error = -4.92 
 Percent = 0.9889  Prediction Error = -4.92 
 Percent = 0.9889  Prediction Error = -4.984 
 Percent = 0.8871  Prediction Error = -4.984 
 Percent = 0.8871  Prediction Error = -5.049 
 Percent = 0.7936  Prediction Error = -5.049 
 Percent = 0.7936  Prediction Error = -5.113 
 Percent = 0.7079  Prediction Error = -5.113 
 Percent = 0.7079  Prediction Error = -5.178 
 Percent = 0.6295  Prediction Error = -5.178 
 Percent = 0.6295  Prediction Error = -5.243 
 Percent = 0.5581  Prediction Error = -5.243 
 Percent = 0.5581  Prediction Error = -5.307 
 Percent = 0.4931  Prediction Error = -5.307 
 Percent = 0.4931  Prediction Error = -5.372 
 Percent = 0.4343  Prediction Error = -5.372 
 Percent = 0.4343  Prediction Error = -5.437 
 Percent = 0.3811  Prediction Error = -5.437 
 Percent = 0.3811  Prediction Error = -5.501 
 Percent = 0.3333  Prediction Error = -5.501 
 Percent = 0.3333  Prediction Error = -5.566 
 Percent = 0.2905  Prediction Error = -5.566 
 Percent = 0.2905  Prediction Error = -5.631 
 Percent = 0.2522  Prediction Error = -5.631 
 Percent = 0.2522  Prediction Error = -5.695 
 Percent = 0.2182  Prediction Error = -5.695 
 Percent = 0.2182  Prediction Error = -5.76 
 Percent = 0.188  Prediction Error = -5.76 
 Percent = 0.188  Prediction Error = -5.824 
 Percent = 0.1613  Prediction Error = -5.824 
 Percent = 0.1613  Prediction Error = -5.889 
 Percent = 0.1379  Prediction Error = -5.889 
 Percent = 0.1379  Prediction Error = -5.954 
 Percent = 0.1174  Prediction Error = -5.954 
 Percent = 0.1174  Prediction Error = -6.018 
 Percent = 0.0996  Prediction Error = -6.018 
 Percent = 0.0996  Prediction Error = -6.083 
 Percent = 0.0841  Prediction Error = -6.083 
 Percent = 0.0841  Prediction Error = -6.148 
 Percent = 0.0707  Prediction Error = -6.148 
 Percent = 0.0707  Prediction Error = -6.212 
 Percent = 0.0592  Prediction Error = -6.212 
 Percent = 0.0592  Prediction Error = -6.277 
 Percent = 0.0494  Prediction Error = -6.277 
 Percent = 0.0494  Prediction Error = -6.342 
 Percent = 0.041  Prediction Error = -6.342 
 Percent = 0.041  Prediction Error = -6.406 
 Percent = 0.0339  Prediction Error = -6.406 
 Percent = 0.0339  Prediction Error = -6.471 
 Percent = 0.0279  Prediction Error = -6.471 
 Percent = 0.0279  Prediction Error = -6.535 
 Percent = 0.0228  Prediction Error = 5.8667 
 Percent = 0.2235  Prediction Error = 5.8067 
 Percent = 0.2447  Prediction Error = 5.8067 
 Percent = 0.2447  Prediction Error = 5.7466 
 Percent = 0.2676  Prediction Error = 5.7466 
 Percent = 0.2676  Prediction Error = 5.6865 
 Percent = 0.2924  Prediction Error = 5.6865 
 Percent = 0.2924  Prediction Error = 5.6264 
 Percent = 0.3192  Prediction Error = 5.6264 
 Percent = 0.3192  Prediction Error = 5.5663 
 Percent = 0.3482  Prediction Error = 5.5663 
 Percent = 0.3482  Prediction Error = 5.5063 
 Percent = 0.3794  Prediction Error = 5.5063 
 Percent = 0.3794  Prediction Error = 5.4462 
 Percent = 0.413  Prediction Error = 5.4462 
 Percent = 0.413  Prediction Error = 5.3861 
 Percent = 0.4492  Prediction Error = 5.3861 
 Percent = 0.4492  Prediction Error = 5.326 
 Percent = 0.4881  Prediction Error = 5.326 
 Percent = 0.4881  Prediction Error = 5.266 
 Percent = 0.5299  Prediction Error = 5.266 
 Percent = 0.5299  Prediction Error = 5.2059 
 Percent = 0.5748  Prediction Error = 5.2059 
 Percent = 0.5748  Prediction Error = 5.1458 
 Percent = 0.6229  Prediction Error = 5.1458 
 Percent = 0.6229  Prediction Error = 5.0857 
 Percent = 0.6744  Prediction Error = 5.0857 
 Percent = 0.6744  Prediction Error = 5.0256 
 Percent = 0.7295  Prediction Error = 5.0256 
 Percent = 0.7295  Prediction Error = 4.9656 
 Percent = 0.7883  Prediction Error = 4.9656 
 Percent = 0.7883  Prediction Error = 4.9055 
 Percent = 0.8512  Prediction Error = 4.9055 
 Percent = 0.8512  Prediction Error = 4.8454 
 Percent = 0.9181  Prediction Error = 4.8454 
 Percent = 0.9181  Prediction Error = 4.7853 
 Percent = 0.9895  Prediction Error = 4.7853 
 Percent = 0.9895  Prediction Error = 4.7253 
 Percent = 1.0654  Prediction Error = 4.7253 
 Percent = 1.0654  Prediction Error = 4.6652 
 Percent = 1.1461  Prediction Error = 4.6652 
 Percent = 1.1461  Prediction Error = 4.6051 
 Percent = 1.2318  Prediction Error = 4.6051 
 Percent = 1.2318  Prediction Error = 4.545 
 Percent = 1.3226  Prediction Error = 4.545 
 Percent = 1.3226  Prediction Error = 4.4849 
 Percent = 1.4189  Prediction Error = 4.4849 
 Percent = 1.4189  Prediction Error = 4.4249 
 Percent = 1.5207  Prediction Error = 4.4249 
 Percent = 1.5207  Prediction Error = 4.3648 
 Percent = 1.6284  Prediction Error = 4.3648 
 Percent = 1.6284  Prediction Error = 4.3047 
 Percent = 1.7421  Prediction Error = 4.3047 
 Percent = 1.7421  Prediction Error = 4.2446 
 Percent = 1.862  Prediction Error = 4.2446 
 Percent = 1.862  Prediction Error = 4.1845 
 Percent = 1.9884  Prediction Error = 4.1845 
 Percent = 1.9884  Prediction Error = 4.1245 
 Percent = 2.1214  Prediction Error = 4.1245 
 Percent = 2.1214  Prediction Error = 4.0644 
 Percent = 2.2612  Prediction Error = 4.0644 
 Percent = 2.2612  Prediction Error = 4.0043 
 Percent = 2.408  Prediction Error = 4.0043 
 Percent = 2.408  Prediction Error = 3.9442 
 Percent = 2.5619  Prediction Error = 3.9442 
 Percent = 2.5619  Prediction Error = 3.8842 
 Percent = 2.7233  Prediction Error = 3.8842 
 Percent = 2.7233  Prediction Error = 3.8241 
 Percent = 2.8921  Prediction Error = 3.8241 
 Percent = 2.8921  Prediction Error = 3.764 
 Percent = 3.0685  Prediction Error = 3.764 
 Percent = 3.0685  Prediction Error = 3.7039 
 Percent = 3.2528  Prediction Error = 3.7039 
 Percent = 3.2528  Prediction Error = 3.6438 
 Percent = 3.4449  Prediction Error = 3.6438 
 Percent = 3.4449  Prediction Error = 3.5838 
 Percent = 3.6451  Prediction Error = 3.5838 
 Percent = 3.6451  Prediction Error = 3.5237 
 Percent = 3.8533  Prediction Error = 3.5237 
 Percent = 3.8533  Prediction Error = 3.4636 
 Percent = 4.0697  Prediction Error = 3.4636 
 Percent = 4.0697  Prediction Error = 3.4035 
 Percent = 4.2943  Prediction Error = 3.4035 
 Percent = 4.2943  Prediction Error = 3.3434 
 Percent = 4.5271  Prediction Error = 3.3434 
 Percent = 4.5271  Prediction Error = 3.2834 
 Percent = 4.7682  Prediction Error = 3.2834 
 Percent = 4.7682  Prediction Error = 3.2233 
 Percent = 5.0175  Prediction Error = 3.2233 
 Percent = 5.0175  Prediction Error = 3.1632 
 Percent = 5.275  Prediction Error = 3.1632 
 Percent = 5.275  Prediction Error = 3.0431 
 Percent = 5.8143  Prediction Error = 3.0431 
 Percent = 5.8143  Prediction Error = 2.9229 
 Percent = 6.3852  Prediction Error = 2.9229 
 Percent = 6.3852  Prediction Error = 2.8027 
 Percent = 6.9865  Prediction Error = 2.8027 
 Percent = 6.9865  Prediction Error = 2.6826 
 Percent = 7.6163  Prediction Error = 2.6826 
 Percent = 7.6163  Prediction Error = 2.5624 
 Percent = 8.2725  Prediction Error = 2.5624 
 Percent = 8.2725  Prediction Error = 1.6612 
 Percent = 13.677  Prediction Error = 1.6612 
 Percent = 13.677  Prediction Error = 1.481 
 Percent = 14.753  Prediction Error = 1.481 
 Percent = 14.753  Prediction Error = 1.3609 
 Percent = 15.446  Prediction Error = 1.3609 
 Percent = 15.446  Prediction Error = 1.2407 
 Percent = 16.113  Prediction Error = 1.2407 
 Percent = 16.113  Prediction Error = 1.1205 
 Percent = 16.746  Prediction Error = 1.1205 
 Percent = 16.746  Prediction Error = 1.0605 
 Percent = 17.049  Prediction Error = 1.0605 
 Percent = 17.049  Prediction Error = 1.0004 
 Percent = 17.341  Prediction Error = 1.0004 
 Percent = 17.341  Prediction Error = 0.9403 
 Percent = 17.622  Prediction Error = 0.9403 
 Percent = 17.622  Prediction Error = 0.8802 
 Percent = 17.891  Prediction Error = 0.8802 
 Percent = 17.891  Prediction Error = 0.8201 
 Percent = 18.147  Prediction Error = 0.8201 
 Percent = 18.147  Prediction Error = 0.7601 
 Percent = 18.391  Prediction Error = 0.7601 
 Percent = 18.391  Prediction Error = 0.7 
 Percent = 18.62  Prediction Error = 0.7 
 Percent = 18.62  Prediction Error = 0.6399 
 Percent = 18.835  Prediction Error = 0.6399 
 Percent = 18.835  Prediction Error = 0.5798 
 Percent = 19.035  Prediction Error = 0.5798 
 Percent = 19.035  Prediction Error = 0.5198 
 Percent = 19.219  Prediction Error = 0.5198 
 Percent = 19.219  Prediction Error = 0.4597 
 Percent = 19.388  Prediction Error = 0.4597 
 Percent = 19.388  Prediction Error = 0.3996 
 Percent = 19.54  Prediction Error = 0.3996 
 Percent = 19.54  Prediction Error = 0.3395 
 Percent = 19.675  Prediction Error = 0.3395 
 Percent = 19.675  Prediction Error = 0.2794 
 Percent = 19.792  Prediction Error = 0.2794 
 Percent = 19.792  Prediction Error = 0.2194 
 Percent = 19.893  Prediction Error = 0.2194 
 Percent = 19.893  Prediction Error = 0.1593 
 Percent = 19.975  Prediction Error = 0.1593 
 Percent = 19.975  Prediction Error = 0.0992 
 Percent = 20.039  Prediction Error = 0.0992 
 Percent = 20.039  Prediction Error = 0.0391 
 Percent = 20.085  Prediction Error = 0.0391 
 Percent = 20.085  Prediction Error = -0.021 
 Percent = 20.113  Prediction Error = -0.021 
 Percent = 20.113  Prediction Error = -0.081 
 Percent = 20.122  Prediction Error = -0.081 
 Percent = 20.122  Prediction Error = -0.141 
 Percent = 20.113  Prediction Error = -0.141 
 Percent = 20.113  Prediction Error = -0.201 
 Percent = 20.085  Prediction Error = -0.201 
 Percent = 20.085  Prediction Error = -0.261 
 Percent = 20.039  Prediction Error = -0.261 
 Percent = 20.039  Prediction Error = -0.321 
 Percent = 19.975  Prediction Error = -0.321 
 Percent = 19.975  Prediction Error = -0.381 
 Percent = 19.893  Prediction Error = -0.381 
 Percent = 19.893  Prediction Error = -0.442 
 Percent = 19.792  Prediction Error = -0.442 
 Percent = 19.792  Prediction Error = -0.502 
 Percent = 19.675  Prediction Error = -0.502 
 Percent = 19.675  Prediction Error = -0.562 
 Percent = 19.54  Prediction Error = -0.562 
 Percent = 19.54  Prediction Error = -0.622 
 Percent = 19.388  Prediction Error = -0.622 
 Percent = 19.388  Prediction Error = -0.682 
 Percent = 19.219  Prediction Error = -0.682 
 Percent = 19.219  Prediction Error = -0.742 
 Percent = 19.035  Prediction Error = -0.742 
 Percent = 19.035  Prediction Error = -0.802 
 Percent = 18.835  Prediction Error = -0.802 
 Percent = 18.835  Prediction Error = -0.862 
 Percent = 18.62  Prediction Error = -0.862 
 Percent = 18.62  Prediction Error = -0.922 
 Percent = 18.391  Prediction Error = -0.922 
 Percent = 18.391  Prediction Error = -0.982 
 Percent = 18.147  Prediction Error = -0.982 
 Percent = 18.147  Prediction Error = -1.042 
 Percent = 17.891  Prediction Error = -1.042 
 Percent = 17.891  Prediction Error = -1.102 
 Percent = 17.622  Prediction Error = -1.102 
 Percent = 17.622  Prediction Error = -1.162 
 Percent = 17.341  Prediction Error = -1.162 
 Percent = 17.341  Prediction Error = -1.223 
 Percent = 17.049  Prediction Error = -1.223 
 Percent = 17.049  Prediction Error = -1.283 
 Percent = 16.746  Prediction Error = -1.283 
 Percent = 16.746  Prediction Error = -1.403 
 Percent = 16.113  Prediction Error = -1.403 
 Percent = 16.113  Prediction Error = -1.523 
 Percent = 15.446  Prediction Error = -1.523 
 Percent = 15.446  Prediction Error = -2.244 
 Percent = 11.098  Prediction Error = -2.244 
 Percent = 11.098  Prediction Error = -2.484 
 Percent = 9.6524  Prediction Error = -2.484 
 Percent = 9.6524  Prediction Error = -2.664 
 Percent = 8.6096  Prediction Error = -2.664 
 Percent = 8.6096  Prediction Error = -2.785 
 Percent = 7.9413  Prediction Error = -2.785 
 Percent = 7.9413  Prediction Error = -2.905 
 Percent = 7.298  Prediction Error = -2.905 
 Percent = 7.298  Prediction Error = -3.025 
 Percent = 6.6822  Prediction Error = -3.025 
 Percent = 6.6822  Prediction Error = -3.145 
 Percent = 6.0959  Prediction Error = -3.145 
 Percent = 6.0959  Prediction Error = -3.265 
 Percent = 5.5407  Prediction Error = -3.265 
 Percent = 5.5407  Prediction Error = -3.325 
 Percent = 5.275  Prediction Error = -3.325 
 Percent = 5.275  Prediction Error = -3.385 
 Percent = 5.0175  Prediction Error = -3.385 
 Percent = 5.0175  Prediction Error = -3.445 
 Percent = 4.7682  Prediction Error = -3.445 
 Percent = 4.7682  Prediction Error = -3.506 
 Percent = 4.5271  Prediction Error = -3.506 
 Percent = 4.5271  Prediction Error = -3.566 
 Percent = 4.2943  Prediction Error = -3.566 
 Percent = 4.2943  Prediction Error = -3.626 
 Percent = 4.0697  Prediction Error = -3.626 
 Percent = 4.0697  Prediction Error = -3.686 
 Percent = 3.8533  Prediction Error = -3.686 
 Percent = 3.8533  Prediction Error = -3.746 
 Percent = 3.6451  Prediction Error = -3.746 
 Percent = 3.6451  Prediction Error = -3.806 
 Percent = 3.4449  Prediction Error = -3.806 
 Percent = 3.4449  Prediction Error = -3.866 
 Percent = 3.2528  Prediction Error = -3.866 
 Percent = 3.2528  Prediction Error = -3.926 
 Percent = 3.0685  Prediction Error = -3.926 
 Percent = 3.0685  Prediction Error = -3.986 
 Percent = 2.8921  Prediction Error = -3.986 
 Percent = 2.8921  Prediction Error = -4.046 
 Percent = 2.7233  Prediction Error = -4.046 
 Percent = 2.7233  Prediction Error = -4.106 
 Percent = 2.5619  Prediction Error = -4.106 
 Percent = 2.5619  Prediction Error = -4.166 
 Percent = 2.408  Prediction Error = -4.166 
 Percent = 2.408  Prediction Error = -4.226 
 Percent = 2.2612  Prediction Error = -4.226 
 Percent = 2.2612  Prediction Error = -4.287 
 Percent = 2.1214  Prediction Error = -4.287 
 Percent = 2.1214  Prediction Error = -4.347 
 Percent = 1.9884  Prediction Error = -4.347 
 Percent = 1.9884  Prediction Error = -4.407 
 Percent = 1.862  Prediction Error = -4.407 
 Percent = 1.862  Prediction Error = -4.467 
 Percent = 1.7421  Prediction Error = -4.467 
 Percent = 1.7421  Prediction Error = -4.527 
 Percent = 1.6284  Prediction Error = -4.527 
 Percent = 1.6284  Prediction Error = -4.587 
 Percent = 1.5207  Prediction Error = -4.587 
 Percent = 1.5207  Prediction Error = -4.647 
 Percent = 1.4189  Prediction Error = -4.647 
 Percent = 1.4189  Prediction Error = -4.707 
 Percent = 1.3226  Prediction Error = -4.707 
 Percent = 1.3226  Prediction Error = -4.767 
 Percent = 1.2318  Prediction Error = -4.767 
 Percent = 1.2318  Prediction Error = -4.827 
 Percent = 1.1461  Prediction Error = -4.827 
 Percent = 1.1461  Prediction Error = -4.887 
 Percent = 1.0654  Prediction Error = -4.887 
 Percent = 1.0654  Prediction Error = -4.947 
 Percent = 0.9895  Prediction Error = -4.947 
 Percent = 0.9895  Prediction Error = -5.007 
 Percent = 0.9181  Prediction Error = -5.007 
 Percent = 0.9181  Prediction Error = -5.068 
 Percent = 0.8512  Prediction Error = -5.068 
 Percent = 0.8512  Prediction Error = -5.128 
 Percent = 0.7883  Prediction Error = -5.128 
 Percent = 0.7883  Prediction Error = -5.188 
 Percent = 0.7295  Prediction Error = -5.188 
 Percent = 0.7295  Prediction Error = -5.248 
 Percent = 0.6744  Prediction Error = -5.248 
 Percent = 0.6744  Prediction Error = -5.308 
 Percent = 0.6229  Prediction Error = -5.308 
 Percent = 0.6229  Prediction Error = -5.368 
 Percent = 0.5748  Prediction Error = -5.368 
 Percent = 0.5748  Prediction Error = -5.428 
 Percent = 0.5299  Prediction Error = -5.428 
 Percent = 0.5299  Prediction Error = -5.488 
 Percent = 0.4881  Prediction Error = -5.488 
 Percent = 0.4881  Prediction Error = -5.548 
 Percent = 0.4492  Prediction Error = -5.548 
 Percent = 0.4492  Prediction Error = -5.608 
 Percent = 0.413  Prediction Error = -5.608 
 Percent = 0.413  Prediction Error = -5.668 
 Percent = 0.3794  Prediction Error = -5.668 
 Percent = 0.3794  Prediction Error = -5.728 
 Percent = 0.3482  Prediction Error = -5.728 
 Percent = 0.3482  Prediction Error = -5.788 
 Percent = 0.3192  Prediction Error = -5.788 
 Percent = 0.3192  Prediction Error = -5.849 
 Percent = 0.2924  Prediction Error = -5.849 
 Percent = 0.2924  Prediction Error = -5.909 
 Percent = 0.2676  Prediction Error = -5.909 
 Percent = 0.2676  Prediction Error = -5.969 
 Percent = 0.2447  Prediction Error = -5.969 
 Percent = 0.2447  Prediction Error = -6.029 
 Percent = 0.2235  Prediction Error = 4 
 Percent = 3.1111  Prediction Error = 4 
 Percent = 3.1111  Prediction Error = 3 
 Percent = 8.4444  Prediction Error = 3 
 Percent = 8.4444  Prediction Error = 2 
 Percent = 15.556  Prediction Error = 2 
 Percent = 15.556  Prediction Error = 1 
 Percent = 12.444  Prediction Error = 1 
 Percent = 12.444  Prediction Error = 0 
 Percent = 16  Prediction Error = 0 
 Percent = 16  Prediction Error = -1 
 Percent = 14.667  Prediction Error = -1 
 Percent = 14.667  Prediction Error = -2 
 Percent = 19.111  Prediction Error = -2 
 Percent = 19.111  Prediction Error = -3 
 Percent = 8  Prediction Error = -3 
 Percent = 8  Prediction Error = -4 
 Percent = 2.6667  Prediction Error = -4 
 Percent = 2.6667  Quantile = 2.7733 
 Residual = 4  Quantile = 2.4464 
 Residual = 3.9595  Quantile = 2.2684 
 Residual = 3.9268  Quantile = 2.1421 
 Residual = 3.8935  Quantile = 2.0429 
 Residual = 3.871  Quantile = 1.9604 
 Residual = 3.804  Quantile = 1.8895 
 Residual = 3.6208  Quantile = 1.827 
 Residual = 3.3644  Quantile = 1.7709 
 Residual = 3.3524  Quantile = 1.7198 
 Residual = 2.9459  Quantile = 1.6729 
 Residual = 2.928  Quantile = 1.6294 
 Residual = 2.874  Quantile = 1.5888 
 Residual = 2.8624  Quantile = 1.5507 
 Residual = 2.8336  Quantile = 1.5147 
 Residual = 2.8129  Quantile = 1.4805 
 Residual = 2.7643  Quantile = 1.448 
 Residual = 2.6689  Quantile = 1.417 
 Residual = 2.6537  Quantile = 1.3872 
 Residual = 2.6517  Quantile = 1.3587 
 Residual = 2.628  Quantile = 1.3312 
 Residual = 2.6148  Quantile = 1.3047 
 Residual = 2.5828  Quantile = 1.279 
 Residual = 2.566  Quantile = 1.2542 
 Residual = 2.5619  Quantile = 1.2301 
 Residual = 2.5121  Quantile = 1.2068 
 Residual = 2.5045  Quantile = 1.184 
 Residual = 2.4362  Quantile = 1.1619 
 Residual = 2.4268  Quantile = 1.1403 
 Residual = 2.4105  Quantile = 1.1192 
 Residual = 2.365  Quantile = 1.0987 
 Residual = 2.36  Quantile = 1.0785 
 Residual = 2.3039  Quantile = 1.0588 
 Residual = 2.3017  Quantile = 1.0395 
 Residual = 2.1867  Quantile = 1.0206 
 Residual = 2.111  Quantile = 1.0021 
 Residual = 2.1031  Quantile = 0.9838 
 Residual = 2.1015  Quantile = 0.9659 
 Residual = 2.0792  Quantile = 0.9483 
 Residual = 2.0169  Quantile = 0.931 
 Residual = 1.9747  Quantile = 0.914 
 Residual = 1.9287  Quantile = 0.8972 
 Residual = 1.9088  Quantile = 0.8807 
 Residual = 1.9087  Quantile = 0.8644 
 Residual = 1.9073  Quantile = 0.8484 
 Residual = 1.8768  Quantile = 0.8325 
 Residual = 1.8566  Quantile = 0.8169 
 Residual = 1.8447  Quantile = 0.8015 
 Residual = 1.8403  Quantile = 0.7862 
 Residual = 1.838  Quantile = 0.7711 
 Residual = 1.819  Quantile = 0.7562 
 Residual = 1.8054  Quantile = 0.7415 
 Residual = 1.7956  Quantile = 0.7269 
 Residual = 1.7721  Quantile = 0.7125 
 Residual = 1.7607  Quantile = 0.6983 
 Residual = 1.7363  Quantile = 0.6841 
 Residual = 1.7152  Quantile = 0.6701 
 Residual = 1.6343  Quantile = 0.6563 
 Residual = 1.5888  Quantile = 0.6425 
 Residual = 1.5747  Quantile = 0.6289 
 Residual = 1.5543  Quantile = 0.6154 
 Residual = 1.5445  Quantile = 0.602 
 Residual = 1.497  Quantile = 0.5887 
 Residual = 1.4787  Quantile = 0.5755 
 Residual = 1.4479  Quantile = 0.5625 
 Residual = 1.4332  Quantile = 0.5495 
 Residual = 1.3642  Quantile = 0.5366 
 Residual = 1.3313  Quantile = 0.5238 
 Residual = 1.3142  Quantile = 0.511 
 Residual = 1.2888  Quantile = 0.4984 
 Residual = 1.2624  Quantile = 0.4858 
 Residual = 1.2597  Quantile = 0.4734 
 Residual = 1.2459  Quantile = 0.4609 
 Residual = 1.2036  Quantile = 0.4486 
 Residual = 1.1599  Quantile = 0.4363 
 Residual = 1.1427  Quantile = 0.4241 
 Residual = 1.1161  Quantile = 0.412 
 Residual = 1.0908  Quantile = 0.3999 
 Residual = 1.0697  Quantile = 0.3879 
 Residual = 1.0233  Quantile = 0.3759 
 Residual = 0.9698  Quantile = 0.364 
 Residual = 0.9597  Quantile = 0.3521 
 Residual = 0.955  Quantile = 0.3403 
 Residual = 0.9211  Quantile = 0.3285 
 Residual = 0.8349  Quantile = 0.3168 
 Residual = 0.8304  Quantile = 0.3051 
 Residual = 0.7222  Quantile = 0.2935 
 Residual = 0.6944  Quantile = 0.2819 
 Residual = 0.6742  Quantile = 0.2703 
 Residual = 0.5947  Quantile = 0.2588 
 Residual = 0.497  Quantile = 0.2473 
 Residual = 0.4757  Quantile = 0.2359 
 Residual = 0.4581  Quantile = 0.2244 
 Residual = 0.417  Quantile = 0.213 
 Residual = 0.3419  Quantile = 0.2017 
 Residual = 0.3076  Quantile = 0.1903 
 Residual = 0.2749  Quantile = 0.179 
 Residual = 0.2703  Quantile = 0.1677 
 Residual = 0.2151  Quantile = 0.1564 
 Residual = 0.1012  Quantile = 0.1452 
 Residual = 0.0692  Quantile = 0.1339 
 Residual = 0.002  Quantile = 0.1227 
 Residual = -0.006  Quantile = 0.1115 
 Residual = -0.012  Quantile = 0.1003 
 Residual = -0.036  Quantile = 0.0891 
 Residual = -0.047  Quantile = 0.078 
 Residual = -0.054  Quantile = 0.0668 
 Residual = -0.061  Quantile = 0.0557 
 Residual = -0.061  Quantile = 0.0445 
 Residual = -0.086  Quantile = 0.0334 
 Residual = -0.092  Quantile = 0.0223 
 Residual = -0.115  Quantile = 0.0111 
 Residual = -0.118  Quantile = 0 
 Residual = -0.145  Quantile = -0.011 
 Residual = -0.155  Quantile = -0.022 
 Residual = -0.163  Quantile = -0.033 
 Residual = -0.166  Quantile = -0.045 
 Residual = -0.215  Quantile = -0.056 
 Residual = -0.225  Quantile = -0.067 
 Residual = -0.228  Quantile = -0.078 
 Residual = -0.263  Quantile = -0.089 
 Residual = -0.264  Quantile = -0.1 
 Residual = -0.265  Quantile = -0.112 
 Residual = -0.286  Quantile = -0.123 
 Residual = -0.29  Quantile = -0.134 
 Residual = -0.481  Quantile = -0.145 
 Residual = -0.525  Quantile = -0.156 
 Residual = -0.627  Quantile = -0.168 
 Residual = -0.654  Quantile = -0.179 
 Residual = -0.701  Quantile = -0.19 
 Residual = -0.81  Quantile = -0.202 
 Residual = -0.893  Quantile = -0.213 
 Residual = -0.908  Quantile = -0.224 
 Residual = -0.91  Quantile = -0.236 
 Residual = -0.972  Quantile = -0.247 
 Residual = -0.982  Quantile = -0.259 
 Residual = -0.99  Quantile = -0.27 
 Residual = -0.994  Quantile = -0.282 
 Residual = -1.026  Quantile = -0.293 
 Residual = -1.026  Quantile = -0.305 
 Residual = -1.048  Quantile = -0.317 
 Residual = -1.08  Quantile = -0.329 
 Residual = -1.116  Quantile = -0.34 
 Residual = -1.166  Quantile = -0.352 
 Residual = -1.186  Quantile = -0.364 
 Residual = -1.187  Quantile = -0.376 
 Residual = -1.235  Quantile = -0.388 
 Residual = -1.247  Quantile = -0.4 
 Residual = -1.341  Quantile = -0.412 
 Residual = -1.36  Quantile = -0.424 
 Residual = -1.373  Quantile = -0.436 
 Residual = -1.4  Quantile = -0.449 
 Residual = -1.466  Quantile = -0.461 
 Residual = -1.467  Quantile = -0.473 
 Residual = -1.472  Quantile = -0.486 
 Residual = -1.485  Quantile = -0.498 
 Residual = -1.489  Quantile = -0.511 
 Residual = -1.493  Quantile = -0.524 
 Residual = -1.497  Quantile = -0.537 
 Residual = -1.501  Quantile = -0.549 
 Residual = -1.52  Quantile = -0.562 
 Residual = -1.553  Quantile = -0.576 
 Residual = -1.558  Quantile = -0.589 
 Residual = -1.575  Quantile = -0.602 
 Residual = -1.592  Quantile = -0.615 
 Residual = -1.626  Quantile = -0.629 
 Residual = -1.668  Quantile = -0.643 
 Residual = -1.705  Quantile = -0.656 
 Residual = -1.71  Quantile = -0.67 
 Residual = -1.715  Quantile = -0.684 
 Residual = -1.724  Quantile = -0.698 
 Residual = -1.731  Quantile = -0.713 
 Residual = -1.777  Quantile = -0.727 
 Residual = -1.799  Quantile = -0.742 
 Residual = -1.852  Quantile = -0.756 
 Residual = -1.859  Quantile = -0.771 
 Residual = -1.865  Quantile = -0.786 
 Residual = -1.867  Quantile = -0.801 
 Residual = -1.889  Quantile = -0.817 
 Residual = -1.908  Quantile = -0.833 
 Residual = -1.92  Quantile = -0.848 
 Residual = -1.963  Quantile = -0.864 
 Residual = -1.976  Quantile = -0.881 
 Residual = -1.986  Quantile = -0.897 
 Residual = -2.004  Quantile = -0.914 
 Residual = -2.062  Quantile = -0.931 
 Residual = -2.099  Quantile = -0.948 
 Residual = -2.106  Quantile = -0.966 
 Residual = -2.118  Quantile = -0.984 
 Residual = -2.12  Quantile = -1.002 
 Residual = -2.216  Quantile = -1.021 
 Residual = -2.248  Quantile = -1.04 
 Residual = -2.267  Quantile = -1.059 
 Residual = -2.291  Quantile = -1.079 
 Residual = -2.368  Quantile = -1.099 
 Residual = -2.377  Quantile = -1.119 
 Residual = -2.393  Quantile = -1.14 
 Residual = -2.399  Quantile = -1.162 
 Residual = -2.445  Quantile = -1.184 
 Residual = -2.45  Quantile = -1.207 
 Residual = -2.459  Quantile = -1.23 
 Residual = -2.5  Quantile = -1.254 
 Residual = -2.588  Quantile = -1.279 
 Residual = -2.593  Quantile = -1.305 
 Residual = -2.626  Quantile = -1.331 
 Residual = -2.662  Quantile = -1.359 
 Residual = -2.692  Quantile = -1.387 
 Residual = -2.703  Quantile = -1.417 
 Residual = -2.745  Quantile = -1.448 
 Residual = -2.775  Quantile = -1.481 
 Residual = -2.791  Quantile = -1.515 
 Residual = -2.794  Quantile = -1.551 
 Residual = -2.812  Quantile = -1.589 
 Residual = -2.859  Quantile = -1.629 
 Residual = -2.86  Quantile = -1.673 
 Residual = -2.974  Quantile = -1.72 
 Residual = -2.989  Quantile = -1.771 
 Residual = -3.158  Quantile = -1.827 
 Residual = -3.465  Quantile = -1.89 
 Residual = -3.494  Quantile = -1.96 
 Residual = -3.599  Quantile = -2.043 
 Residual = -3.632  Quantile = -2.142 
 Residual = -3.733  Quantile = -2.268 
 Residual = -3.912  Quantile = -2.446 
 Residual = -4.245  Quantile = -2.773 
 Residual = -4.273  Slope = 1.9826 
 Y = -0.081  Lag = 24 
 ACF = -0.173  Lag = 23 
 ACF = -0.046  Lag = 22 
 ACF = -0.063  Lag = 21 
 ACF = -0.134  Lag = 20 
 ACF = 0.0471  Lag = 19 
 ACF = 0.0801  Lag = 18 
 ACF = -0.054  Lag = 17 
 ACF = 0.0088  Lag = 16 
 ACF = -0.127  Lag = 15 
 ACF = 0.0118  Lag = 14 
 ACF = -0.037  Lag = 13 
 ACF = -0.139  Lag = 12 
 ACF = 0.005  Lag = 11 
 ACF = 0.0091  Lag = 10 
 ACF = 0.0051  Lag = 9 
 ACF = 0.0214  Lag = 8 
 ACF = 0.0305  Lag = 7 
 ACF = 0.0539  Lag = 6 
 ACF = -0.06  Lag = 5 
 ACF = 0.1009  Lag = 4 
 ACF = 0.0135  Lag = 3 
 ACF = 0.052  Lag = 2 
 ACF = 0.0729  Lag = 1 
 ACF = 0.0239  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.146 
 Upper = 0.146  Lag = 23 
 Lower = -0.146 
 Upper = 0.1458  Lag = 23 
 Lower = -0.146 
 Upper = 0.1458  Lag = 22 
 Lower = -0.145 
 Upper = 0.1453  Lag = 22 
 Lower = -0.145 
 Upper = 0.1453  Lag = 21 
 Lower = -0.143 
 Upper = 0.1431  Lag = 21 
 Lower = -0.143 
 Upper = 0.1431  Lag = 20 
 Lower = -0.143 
 Upper = 0.1428  Lag = 20 
 Lower = -0.143 
 Upper = 0.1428  Lag = 19 
 Lower = -0.142 
 Upper = 0.142  Lag = 19 
 Lower = -0.142 
 Upper = 0.142  Lag = 18 
 Lower = -0.142 
 Upper = 0.1416  Lag = 18 
 Lower = -0.142 
 Upper = 0.1416  Lag = 17 
 Lower = -0.142 
 Upper = 0.1416  Lag = 17 
 Lower = -0.142 
 Upper = 0.1416  Lag = 16 
 Lower = -0.14 
 Upper = 0.1396  Lag = 16 
 Lower = -0.14 
 Upper = 0.1396  Lag = 15 
 Lower = -0.14 
 Upper = 0.1395  Lag = 15 
 Lower = -0.14 
 Upper = 0.1395  Lag = 14 
 Lower = -0.139 
 Upper = 0.1394  Lag = 14 
 Lower = -0.139 
 Upper = 0.1394  Lag = 13 
 Lower = -0.137 
 Upper = 0.1369  Lag = 13 
 Lower = -0.137 
 Upper = 0.1369  Lag = 12 
 Lower = -0.137 
 Upper = 0.1369  Lag = 12 
 Lower = -0.137 
 Upper = 0.1369  Lag = 11 
 Lower = -0.137 
 Upper = 0.1369  Lag = 11 
 Lower = -0.137 
 Upper = 0.1369  Lag = 10 
 Lower = -0.137 
 Upper = 0.1369  Lag = 10 
 Lower = -0.137 
 Upper = 0.1369  Lag = 9 
 Lower = -0.137 
 Upper = 0.1368  Lag = 9 
 Lower = -0.137 
 Upper = 0.1368  Lag = 8 
 Lower = -0.137 
 Upper = 0.1367  Lag = 8 
 Lower = -0.137 
 Upper = 0.1367  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 6 
 Lower = -0.136 
 Upper = 0.1358  Lag = 6 
 Lower = -0.136 
 Upper = 0.1358  Lag = 5 
 Lower = -0.134 
 Upper = 0.1345  Lag = 5 
 Lower = -0.134 
 Upper = 0.1345  Lag = 4 
 Lower = -0.134 
 Upper = 0.1345  Lag = 4 
 Lower = -0.134 
 Upper = 0.1345  Lag = 3 
 Lower = -0.134 
 Upper = 0.1341  Lag = 3 
 Lower = -0.134 
 Upper = 0.1341  Lag = 2 
 Lower = -0.133 
 Upper = 0.1334  Lag = 2 
 Lower = -0.133 
 Upper = 0.1334  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.177  Lag = 23 
 PACF = -0.015  Lag = 22 
 PACF = -0.087  Lag = 21 
 PACF = -0.112  Lag = 20 
 PACF = 0.0547  Lag = 19 
 PACF = 0.0815  Lag = 18 
 PACF = -0.015  Lag = 17 
 PACF = 0.0195  Lag = 16 
 PACF = -0.122  Lag = 15 
 PACF = 0.0338  Lag = 14 
 PACF = -0.035  Lag = 13 
 PACF = -0.143  Lag = 12 
 PACF = -0.011  Lag = 11 
 PACF = 0.0162  Lag = 10 
 PACF = -0.013  Lag = 9 
 PACF = 0.0182  Lag = 8 
 PACF = 0.0281  Lag = 7 
 PACF = 0.0432  Lag = 6 
 PACF = -0.069  Lag = 5 
 PACF = 0.0941  Lag = 4 
 PACF = 0.0062  Lag = 3 
 PACF = 0.0489  Lag = 2 
 PACF = 0.0723  Lag = 1 
 PACF = 0.0239  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = 0.1015  Date_of_death = Jul2019 
 Loess Fit = 0.0815  Date_of_death = Jul2019 
 Loess Fit = 0.0815  Date_of_death = Jun2019 
 Loess Fit = 0.0616  Date_of_death = Jun2019 
 Loess Fit = 0.0616  Date_of_death = May2019 
 Loess Fit = 0.0416  Date_of_death = May2019 
 Loess Fit = 0.0416  Date_of_death = Apr2019 
 Loess Fit = 0.0216  Date_of_death = Apr2019 
 Loess Fit = 0.0216  Date_of_death = Mar2019 
 Loess Fit = 0.0017  Date_of_death = Mar2019 
 Loess Fit = 0.0017  Date_of_death = Feb2019 
 Loess Fit = -0.018  Date_of_death = Feb2019 
 Loess Fit = -0.018  Date_of_death = Jan2019 
 Loess Fit = -0.029  Date_of_death = Jan2019 
 Loess Fit = -0.029  Date_of_death = Dec2018 
 Loess Fit = -0.038  Date_of_death = Dec2018 
 Loess Fit = -0.038  Date_of_death = Oct2018 
 Loess Fit = -0.047  Date_of_death = Oct2018 
 Loess Fit = -0.047  Date_of_death = Sep2018 
 Loess Fit = -0.055  Date_of_death = Sep2018 
 Loess Fit = -0.055  Date_of_death = Aug2018 
 Loess Fit = -0.064  Date_of_death = Aug2018 
 Loess Fit = -0.064  Date_of_death = Jul2018 
 Loess Fit = -0.072  Date_of_death = Jul2018 
 Loess Fit = -0.072  Date_of_death = Jun2018 
 Loess Fit = -0.084  Date_of_death = Jun2018 
 Loess Fit = -0.084  Date_of_death = May2018 
 Loess Fit = -0.1  Date_of_death = May2018 
 Loess Fit = -0.1  Date_of_death = Apr2018 
 Loess Fit = -0.115  Date_of_death = Apr2018 
 Loess Fit = -0.115  Date_of_death = Mar2018 
 Loess Fit = -0.13  Date_of_death = Mar2018 
 Loess Fit = -0.13  Date_of_death = Jan2018 
 Loess Fit = -0.146  Date_of_death = Jan2018 
 Loess Fit = -0.146  Date_of_death = Dec2017 
 Loess Fit = -0.161  Date_of_death = Dec2017 
 Loess Fit = -0.161  Date_of_death = Nov2017 
 Loess Fit = -0.165  Date_of_death = Nov2017 
 Loess Fit = -0.165  Date_of_death = Oct2017 
 Loess Fit = -0.136  Date_of_death = Oct2017 
 Loess Fit = -0.136  Date_of_death = Sep2017 
 Loess Fit = -0.106  Date_of_death = Sep2017 
 Loess Fit = -0.106  Date_of_death = Aug2017 
 Loess Fit = -0.077  Date_of_death = Aug2017 
 Loess Fit = -0.077  Date_of_death = Jul2017 
 Loess Fit = -0.047  Date_of_death = Jul2017 
 Loess Fit = -0.047  Date_of_death = Jun2017 
 Loess Fit = -0.018  Date_of_death = Jun2017 
 Loess Fit = -0.018  Date_of_death = May2017 
 Loess Fit = 0.0119  Date_of_death = May2017 
 Loess Fit = 0.0119  Date_of_death = Mar2017 
 Loess Fit = 0.0304  Date_of_death = Mar2017 
 Loess Fit = 0.0304  Date_of_death = Feb2017 
 Loess Fit = 0.0487  Date_of_death = Feb2017 
 Loess Fit = 0.0487  Date_of_death = Jan2017 
 Loess Fit = 0.0669  Date_of_death = Jan2017 
 Loess Fit = 0.0669  Date_of_death = Dec2016 
 Loess Fit = 0.0852  Date_of_death = Dec2016 
 Loess Fit = 0.0852  Date_of_death = Nov2016 
 Loess Fit = 0.1034  Date_of_death = Nov2016 
 Loess Fit = 0.1034  Date_of_death = Oct2016 
 Loess Fit = 0.1217  Date_of_death = Oct2016 
 Loess Fit = 0.1217  Date_of_death = Sep2016 
 Loess Fit = 0.0859  Date_of_death = Sep2016 
 Loess Fit = 0.0859  Date_of_death = Aug2016 
 Loess Fit = 0.0326  Date_of_death = Aug2016 
 Loess Fit = 0.0326  Date_of_death = Jun2016 
 Loess Fit = -0.021  Date_of_death = Jun2016 
 Loess Fit = -0.021  Date_of_death = May2016 
 Loess Fit = -0.074  Date_of_death = May2016 
 Loess Fit = -0.074  Date_of_death = Apr2016 
 Loess Fit = -0.127  Date_of_death = Apr2016 
 Loess Fit = -0.127  Date_of_death = Mar2016 
 Loess Fit = -0.181  Date_of_death = Mar2016 
 Loess Fit = -0.181  Date_of_death = Feb2016 
 Loess Fit = -0.213  Date_of_death = Feb2016 
 Loess Fit = -0.213  Date_of_death = Jan2016 
 Loess Fit = -0.223  Date_of_death = Jan2016 
 Loess Fit = -0.223  Date_of_death = Dec2015 
 Loess Fit = -0.232  Date_of_death = Dec2015 
 Loess Fit = -0.232  Date_of_death = Nov2015 
 Loess Fit = -0.242  Date_of_death = Nov2015 
 Loess Fit = -0.242  Date_of_death = Sep2015 
 Loess Fit = -0.251  Date_of_death = Sep2015 
 Loess Fit = -0.251  Date_of_death = Aug2015 
 Loess Fit = -0.26  Date_of_death = Aug2015 
 Loess Fit = -0.26  Date_of_death = Jul2015 
 Loess Fit = -0.268  Date_of_death = Jul2015 
 Loess Fit = -0.268  Date_of_death = Jun2015 
 Loess Fit = -0.27  Date_of_death = Jun2015 
 Loess Fit = -0.27  Date_of_death = May2015 
 Loess Fit = -0.272  Date_of_death = May2015 
 Loess Fit = -0.272  Date_of_death = Apr2015 
 Loess Fit = -0.274  Date_of_death = Apr2015 
 Loess Fit = -0.274  Date_of_death = Mar2015 
 Loess Fit = -0.276  Date_of_death = Mar2015 
 Loess Fit = -0.276  Date_of_death = Feb2015 
 Loess Fit = -0.278  Date_of_death = Feb2015 
 Loess Fit = -0.278  Date_of_death = Dec2014 
 Loess Fit = -0.28  Date_of_death = Dec2014 
 Loess Fit = -0.28  Date_of_death = Nov2014 
 Loess Fit = -0.264  Date_of_death = Nov2014 
 Loess Fit = -0.264  Date_of_death = Oct2014 
 Loess Fit = -0.248  Date_of_death = Oct2014 
 Loess Fit = -0.248  Date_of_death = Sep2014 
 Loess Fit = -0.232  Date_of_death = Sep2014 
 Loess Fit = -0.232  Date_of_death = Aug2014 
 Loess Fit = -0.216  Date_of_death = Aug2014 
 Loess Fit = -0.216  Date_of_death = Jul2014 
 Loess Fit = -0.2  Date_of_death = Jul2014 
 Loess Fit = -0.2  Date_of_death = Jun2014 
 Loess Fit = -0.183  Date_of_death = Jun2014 
 Loess Fit = -0.183  Date_of_death = May2014 
 Loess Fit = -0.172  Date_of_death = May2014 
 Loess Fit = -0.172  Date_of_death = Apr2014 
 Loess Fit = -0.162  Date_of_death = Apr2014 
 Loess Fit = -0.162  Date_of_death = Feb2014 
 Loess Fit = -0.153  Date_of_death = Feb2014 
 Loess Fit = -0.153  Date_of_death = Jan2014 
 Loess Fit = -0.143  Date_of_death = Jan2014 
 Loess Fit = -0.143  Date_of_death = Dec2013 
 Loess Fit = -0.133  Date_of_death = Dec2013 
 Loess Fit = -0.133  Date_of_death = Nov2013 
 Loess Fit = -0.124  Date_of_death = Nov2013 
 Loess Fit = -0.124  Date_of_death = Oct2013 
 Loess Fit = -0.152  Date_of_death = Oct2013 
 Loess Fit = -0.152  Date_of_death = Sep2013 
 Loess Fit = -0.217  Date_of_death = Sep2013 
 Loess Fit = -0.217  Date_of_death = Aug2013 
 Loess Fit = -0.282  Date_of_death = Aug2013 
 Loess Fit = -0.282  Date_of_death = Jul2013 
 Loess Fit = -0.346  Date_of_death = Jul2013 
 Loess Fit = -0.346  Date_of_death = May2013 
 Loess Fit = -0.411  Date_of_death = May2013 
 Loess Fit = -0.411  Date_of_death = Apr2013 
 Loess Fit = -0.476  Date_of_death = Apr2013 
 Loess Fit = -0.476  Date_of_death = Mar2013 
 Loess Fit = -0.531  Date_of_death = Mar2013 
 Loess Fit = -0.531  Date_of_death = Feb2013 
 Loess Fit = -0.554  Date_of_death = Feb2013 
 Loess Fit = -0.554  Date_of_death = Jan2013 
 Loess Fit = -0.576  Date_of_death = Jan2013 
 Loess Fit = -0.576  Date_of_death = Dec2012 
 Loess Fit = -0.599  Date_of_death = Dec2012 
 Loess Fit = -0.599  Date_of_death = Nov2012 
 Loess Fit = -0.622  Date_of_death = Nov2012 
 Loess Fit = -0.622  Date_of_death = Oct2012 
 Loess Fit = -0.644  Date_of_death = Oct2012 
 Loess Fit = -0.644  Date_of_death = Aug2012 
 Loess Fit = -0.666  Date_of_death = Aug2012 
 Loess Fit = -0.666  Date_of_death = Jul2012 
 Loess Fit = -0.636  Date_of_death = Jul2012 
 Loess Fit = -0.636  Date_of_death = Jun2012 
 Loess Fit = -0.605  Date_of_death = Jun2012 
 Loess Fit = -0.605  Date_of_death = May2012 
 Loess Fit = -0.574  Date_of_death = May2012 
 Loess Fit = -0.574  Date_of_death = Apr2012 
 Loess Fit = -0.543  Date_of_death = Apr2012 
 Loess Fit = -0.543  Date_of_death = Mar2012 
 Loess Fit = -0.513  Date_of_death = Mar2012 
 Loess Fit = -0.513  Date_of_death = Feb2012 
 Loess Fit = -0.482  Date_of_death = Feb2012 
 Loess Fit = -0.482  Date_of_death = Jan2012 
 Loess Fit = -0.449  Date_of_death = Jan2012 
 Loess Fit = -0.449  Date_of_death = Dec2011 
 Loess Fit = -0.415  Date_of_death = Dec2011 
 Loess Fit = -0.415  Date_of_death = Oct2011 
 Loess Fit = -0.38  Date_of_death = Oct2011 
 Loess Fit = -0.38  Date_of_death = Sep2011 
 Loess Fit = -0.346  Date_of_death = Sep2011 
 Loess Fit = -0.346  Date_of_death = Aug2011 
 Loess Fit = -0.312  Date_of_death = Aug2011 
 Loess Fit = -0.312  Date_of_death = Jul2011 
 Loess Fit = -0.278  Date_of_death = Jul2011 
 Loess Fit = -0.278  Date_of_death = Jun2011 
 Loess Fit = -0.238  Date_of_death = Jun2011 
 Loess Fit = -0.238  Date_of_death = May2011 
 Loess Fit = -0.189  Date_of_death = May2011 
 Loess Fit = -0.189  Date_of_death = Apr2011 
 Loess Fit = -0.141  Date_of_death = Apr2011 
 Loess Fit = -0.141  Date_of_death = Mar2011 
 Loess Fit = -0.093  Date_of_death = Mar2011 
 Loess Fit = -0.093  Date_of_death = Jan2011 
 Loess Fit = -0.044  Date_of_death = Jan2011 
 Loess Fit = -0.044  Date_of_death = Dec2010 
 Loess Fit = 0.0042  Date_of_death = Dec2010 
 Loess Fit = 0.0042  Date_of_death = Nov2010 
 Loess Fit = 0.0468  Date_of_death = Nov2010 
 Loess Fit = 0.0468  Date_of_death = Oct2010 
 Loess Fit = 0.0707  Date_of_death = Oct2010 
 Loess Fit = 0.0707  Date_of_death = Sep2010 
 Loess Fit = 0.0945  Date_of_death = Sep2010 
 Loess Fit = 0.0945  Date_of_death = Aug2010 
 Loess Fit = 0.1183  Date_of_death = Aug2010 
 Loess Fit = 0.1183  Date_of_death = Jul2010 
 Loess Fit = 0.1421  Date_of_death = Jul2010 
 Loess Fit = 0.1421  Date_of_death = Jun2010 
 Loess Fit = 0.166  Date_of_death = Jun2010 
 Loess Fit = 0.166  Date_of_death = May2010 
 Loess Fit = 0.1898  Date_of_death = May2010 
 Loess Fit = 0.1898  Date_of_death = Mar2010 
 Loess Fit = 0.2166  Date_of_death = Mar2010 
 Loess Fit = 0.2166  Date_of_death = Feb2010 
 Loess Fit = 0.2435  Date_of_death = Feb2010 
 Loess Fit = 0.2435  Date_of_death = Jan2010 
 Loess Fit = 0.2704  Date_of_death = Jan2010 
 Loess Fit = 0.2704  Date_of_death = Dec2009 
 Loess Fit = 0.2974  Date_of_death = Dec2009 
 Loess Fit = 0.2974  Date_of_death = Nov2009 
 Loess Fit = 0.3243  Date_of_death = Nov2009 
 Loess Fit = 0.3243  Date_of_death = Oct2009 
 Loess Fit = 0.3512  Date_of_death = Oct2009 
 Loess Fit = 0.3512  Date_of_death = Sep2009 
 Loess Fit = 0.3542  Date_of_death = Sep2009 
 Loess Fit = 0.3542  Date_of_death = Aug2009 
 Loess Fit = 0.3486  Date_of_death = Aug2009 
 Loess Fit = 0.3486  Date_of_death = Jun2009 
 Loess Fit = 0.343  Date_of_death = Jun2009 
 Loess Fit = 0.343  Date_of_death = May2009 
 Loess Fit = 0.3374  Date_of_death = May2009 
 Loess Fit = 0.3374  Date_of_death = Apr2009 
 Loess Fit = 0.3318  Date_of_death = Apr2009 
 Loess Fit = 0.3318  Date_of_death = Mar2009 
 Loess Fit = 0.3262  Date_of_death = Mar2009 
 Loess Fit = 0.3262  Date_of_death = Feb2009 
 Loess Fit = 0.3041  Date_of_death = Feb2009 
 Loess Fit = 0.3041  Date_of_death = Jan2009 
 Loess Fit = 0.2625  Date_of_death = Jan2009 
 Loess Fit = 0.2625  Date_of_death = Dec2008 
 Loess Fit = 0.2209  Date_of_death = Dec2008 
 Loess Fit = 0.2209  Date_of_death = Nov2008 
 Loess Fit = 0.1794  Date_of_death = Nov2008 
 Loess Fit = 0.1794  Date_of_death = Sep2008 
 Loess Fit = 0.1378  Date_of_death = Sep2008 
 Loess Fit = 0.1378  Date_of_death = Aug2008 
 Loess Fit = 0.0962  Date_of_death = Aug2008 
 Loess Fit = 0.0962  Date_of_death = Jul2008 
 Loess Fit = 0.0491  Date_of_death = Jul2008 
 Loess Fit = 0.0491  Date_of_death = Jun2008 
 Loess Fit = -0.016  Date_of_death = Jun2008 
 Loess Fit = -0.016  Date_of_death = May2008 
 Loess Fit = -0.08  Date_of_death = May2008 
 Loess Fit = -0.08  Date_of_death = Apr2008 
 Loess Fit = -0.145  Date_of_death = Apr2008 
 Loess Fit = -0.145  Date_of_death = Mar2008 
 Loess Fit = -0.21  Date_of_death = Mar2008 
 Loess Fit = -0.21  Date_of_death = Feb2008 
 Loess Fit = -0.275  Date_of_death = Feb2008 
 Loess Fit = -0.275  Date_of_death = Jan2008 
 Loess Fit = -0.339  Date_of_death = Jan2008 
 Loess Fit = -0.339  Date_of_death = Nov2007 
 Loess Fit = -0.342  Date_of_death = Nov2007 
 Loess Fit = -0.342  Date_of_death = Oct2007 
 Loess Fit = -0.344  Date_of_death = Oct2007 
 Loess Fit = -0.344  Date_of_death = Sep2007 
 Loess Fit = -0.346  Date_of_death = Sep2007 
 Loess Fit = -0.346  Date_of_death = Aug2007 
 Loess Fit = -0.347  Date_of_death = Aug2007 
 Loess Fit = -0.347  Date_of_death = Jul2007 
 Loess Fit = -0.349  Date_of_death = Jul2007 
 Loess Fit = -0.349  Date_of_death = Jun2007 
 Loess Fit = -0.351  Date_of_death = Jun2007 
 Loess Fit = -0.351  Date_of_death = May2007 
 Loess Fit = -0.309  Date_of_death = May2007 
 Loess Fit = -0.309  Date_of_death = Apr2007 
 Loess Fit = -0.249  Date_of_death = Apr2007 
 Loess Fit = -0.249  Date_of_death = Feb2007 
 Loess Fit = -0.188  Date_of_death = Feb2007 
 Loess Fit = -0.188  Date_of_death = Jan2007 
 Loess Fit = -0.128  Date_of_death = Jan2007 
 Loess Fit = -0.128  Date_of_death = Dec2006 
 Loess Fit = -0.068  Date_of_death = Dec2006 
 Loess Fit = -0.068  Date_of_death = Nov2006 
 Loess Fit = -0.008  Date_of_death = Nov2006 
 Loess Fit = -0.008  Date_of_death = Oct2006 
 Loess Fit = 0.0469  Date_of_death = Oct2006 
 Loess Fit = 0.0469  Date_of_death = Sep2006 
 Loess Fit = 0.0965  Date_of_death = Sep2006 
 Loess Fit = 0.0965  Date_of_death = Aug2006 
 Loess Fit = 0.1461  Date_of_death = Aug2006 
 Loess Fit = 0.1461  Date_of_death = Jul2006 
 Loess Fit = 0.1957  Date_of_death = Jul2006 
 Loess Fit = 0.1957  Date_of_death = May2006 
 Loess Fit = 0.2453  Date_of_death = May2006 
 Loess Fit = 0.2453  Date_of_death = Apr2006 
 Loess Fit = 0.2949  Date_of_death = Apr2006 
 Loess Fit = 0.2949  Date_of_death = Mar2006 
 Loess Fit = 0.3317  Date_of_death = Mar2006 
 Loess Fit = 0.3317  Date_of_death = Feb2006 
 Loess Fit = 0.3208  Date_of_death = Feb2006 
 Loess Fit = 0.3208  Date_of_death = Jan2006 
 Loess Fit = 0.3098  Date_of_death = Jan2006 
 Loess Fit = 0.3098  Date_of_death = Dec2005 
 Loess Fit = 0.2989  Date_of_death = Dec2005 
 Loess Fit = 0.2989  Date_of_death = Nov2005 
 Loess Fit = 0.288  Date_of_death = Nov2005 
 Loess Fit = 0.288  Date_of_death = Oct2005 
 Loess Fit = 0.2771  Date_of_death = Oct2005 
 Loess Fit = 0.2771  Date_of_death = Sep2005 
 Loess Fit = 0.2662  Date_of_death = Sep2005 
 Loess Fit = 0.2662  Date_of_death = Jul2005 
 Loess Fit = 0.187  Date_of_death = Jul2005 
 Loess Fit = 0.187  Date_of_death = Jun2005 
 Loess Fit = 0.1073  Date_of_death = Jun2005 
 Loess Fit = 0.1073  Date_of_death = May2005 
 Loess Fit = 0.0276  Date_of_death = May2005 
 Loess Fit = 0.0276  Date_of_death = Apr2005 
 Loess Fit = -0.052  Date_of_death = Apr2005 
 Loess Fit = -0.052  Date_of_death = Mar2005 
 Loess Fit = -0.132  Date_of_death = Mar2005 
 Loess Fit = -0.132  Date_of_death = Feb2005 
 Loess Fit = -0.212  Date_of_death = Feb2005 
 Loess Fit = -0.212  Date_of_death = Jan2005 
 Loess Fit = -0.293  Date_of_death = Jan2005 
 Loess Fit = -0.293  Date_of_death = Dec2004 
 Loess Fit = -0.375  Date_of_death = Dec2004 
 Loess Fit = -0.375  Date_of_death = Oct2004 
 Loess Fit = -0.457  Date_of_death = Oct2004 
 Loess Fit = -0.457  Date_of_death = Sep2004 
 Loess Fit = -0.539  Date_of_death = Sep2004 
 Loess Fit = -0.539  Date_of_death = Aug2004 
 Loess Fit = -0.621  Date_of_death = Aug2004 
 Loess Fit = -0.621  Date_of_death = Jul2004 
 Loess Fit = -0.703  Date_of_death = Jul2004 
 Loess Fit = -0.703  Date_of_death = Jun2004 
 Loess Fit = -0.761  Date_of_death = Jun2004 
 Loess Fit = -0.761  Date_of_death = May2004 
 Loess Fit = -0.791  Date_of_death = May2004 
 Loess Fit = -0.791  Date_of_death = Apr2004 
 Loess Fit = -0.822  Date_of_death = Apr2004 
 Loess Fit = -0.822  Date_of_death = Mar2004 
 Loess Fit = -0.853  Date_of_death = Mar2004 
 Loess Fit = -0.853  Date_of_death = Jan2004 
 Loess Fit = -0.883  Date_of_death = Jan2004 
 Loess Fit = -0.883  Date_of_death = Dec2003 
 Loess Fit = -0.914  Date_of_death = Dec2003 
 Loess Fit = -0.914  Date_of_death = Nov2003 
 Loess Fit = -0.929  Date_of_death = Nov2003 
 Loess Fit = -0.929  Date_of_death = Oct2003 
 Loess Fit = -0.886  Date_of_death = Oct2003 
 Loess Fit = -0.886  Date_of_death = Sep2003 
 Loess Fit = -0.844  Date_of_death = Sep2003 
 Loess Fit = -0.844  Date_of_death = Aug2003 
 Loess Fit = -0.801  Date_of_death = Aug2003 
 Loess Fit = -0.801  Date_of_death = Jul2003 
 Loess Fit = -0.759  Date_of_death = Jul2003 
 Loess Fit = -0.759  Date_of_death = Jun2003 
 Loess Fit = -0.716  Date_of_death = Jun2003 
 Loess Fit = -0.716  Date_of_death = May2003 
 Loess Fit = -0.674  Date_of_death = May2003 
 Loess Fit = -0.674  Date_of_death = Mar2003 
 Loess Fit = -0.58  Date_of_death = Mar2003 
 Loess Fit = -0.58  Date_of_death = Feb2003 
 Loess Fit = -0.483  Date_of_death = Feb2003 
 Loess Fit = -0.483  Date_of_death = Jan2003 
 Loess Fit = -0.386  Date_of_death = Jan2003 
 Loess Fit = -0.386  Date_of_death = Dec2002 
 Loess Fit = -0.289  Date_of_death = Dec2002 
 Loess Fit = -0.289  Date_of_death = Nov2002 
 Loess Fit = -0.192  Date_of_death = Nov2002 
 Loess Fit = -0.192  Date_of_death = Oct2002 
 Loess Fit = -0.096  Date_of_death = Oct2002 
 Loess Fit = -0.096  Date_of_death = Sep2002 
 Loess Fit = 0.0023  Date_of_death = Sep2002 
 Loess Fit = 0.0023  Date_of_death = Aug2002 
 Loess Fit = 0.1004  Date_of_death = Aug2002 
 Loess Fit = 0.1004  Date_of_death = Jun2002 
 Loess Fit = 0.1985  Date_of_death = Jun2002 
 Loess Fit = 0.1985  Date_of_death = May2002 
 Loess Fit = 0.2966  Date_of_death = May2002 
 Loess Fit = 0.2966  Date_of_death = Apr2002 
 Loess Fit = 0.3947  Date_of_death = Apr2002 
 Loess Fit = 0.3947  Date_of_death = Mar2002 
 Loess Fit = 0.4928  Date_of_death = Mar2002 
 Loess Fit = 0.4928  Date_of_death = Feb2002 
 Loess Fit = 0.5908  Date_of_death = Feb2002 
 Loess Fit = 0.5908  Date_of_death = Jan2002 
 Loess Fit = 0.6887  Date_of_death = Jan2002 
 Loess Fit = 0.6887  Date_of_death = Dec2001 
 Loess Fit = 0.7865  Date_of_death = Dec2001 
 Loess Fit = 0.7865  Date_of_death = Nov2001 
 Loess Fit = 0.8844  Date_of_death = Nov2001 
 Loess Fit = 0.8844  Date_of_death = Sep2001 
 Loess Fit = 0.9822  Date_of_death = Sep2001 
 Loess Fit = 0.9822  Date_of_death = Aug2001 
 Loess Fit = 1.0801  Date_of_death = Aug2001 
 Loess Fit = 1.0801  Date_of_death = Jul2001 
 Loess Fit = 1.1769  Date_of_death = Jul2001 
 Loess Fit = 1.1769  Date_of_death = Jun2001 
 Loess Fit = 1.2701  Date_of_death = Jun2001 
 Loess Fit = 1.2701  Date_of_death = May2001 
 Loess Fit = 1.3633  Date_of_death = May2001 
 Loess Fit = 1.3633  Date_of_death = Apr2001 
 Loess Fit = 1.4565  Date_of_death = Apr2001 
 Loess Fit = 1.4565  Date_of_death = Mar2001 
 Loess Fit = 1.5497  Date_of_death = Mar2001 
 Loess Fit = 1.5497  Date_of_death = Feb2001 
 Loess Fit = 1.6429  Date_of_death = Feb2001 
 Loess Fit = 1.6429  Date_of_death = Jan2001 
 Loess Fit = 1.7361  Date_of_death = Sep2019 
 Prediction Error = -1.715  Date_of_death = Aug2019 
 Prediction Error = 0.955  Date_of_death = Jul2019 
 Prediction Error = -0.481  Date_of_death = Jun2019 
 Prediction Error = 0.4757  Date_of_death = May2019 
 Prediction Error = -1.731  Date_of_death = Apr2019 
 Prediction Error = 3.3524  Date_of_death = Mar2019 
 Prediction Error = 2.4362  Date_of_death = Feb2019 
 Prediction Error = -0.972  Date_of_death = Jan2019 
 Prediction Error = -0.006  Date_of_death = Dec2018 
 Prediction Error = -0.91  Date_of_death = Nov2018 
 Prediction Error = 2.6517  Date_of_death = Oct2018 
 Prediction Error = 2.874  Date_of_death = Sep2018 
 Prediction Error = -1.575  Date_of_death = Aug2018 
 Prediction Error = -1.986  Date_of_death = Jul2018 
 Prediction Error = -0.264  Date_of_death = Jun2018 
 Prediction Error = -1.501  Date_of_death = May2018 
 Prediction Error = -1.799  Date_of_death = Apr2018 
 Prediction Error = -0.81  Date_of_death = Mar2018 
 Prediction Error = -2.004  Date_of_death = Feb2018 
 Prediction Error = -1.373  Date_of_death = Jan2018 
 Prediction Error = -1.485  Date_of_death = Dec2017 
 Prediction Error = -1.472  Date_of_death = Nov2017 
 Prediction Error = 2.4105  Date_of_death = Oct2017 
 Prediction Error = -1.976  Date_of_death = Sep2017 
 Prediction Error = 2.1867  Date_of_death = Aug2017 
 Prediction Error = 1.8403  Date_of_death = Jul2017 
 Prediction Error = 2.8129  Date_of_death = Jun2017 
 Prediction Error = -1.859  Date_of_death = May2017 
 Prediction Error = -0.982  Date_of_death = Apr2017 
 Prediction Error = -0.99  Date_of_death = Mar2017 
 Prediction Error = 2.3017  Date_of_death = Feb2017 
 Prediction Error = -0.29  Date_of_death = Jan2017 
 Prediction Error = -1.466  Date_of_death = Dec2016 
 Prediction Error = -1.493  Date_of_death = Nov2016 
 Prediction Error = 2.8624  Date_of_death = Oct2016 
 Prediction Error = 0.2151  Date_of_death = Sep2016 
 Prediction Error = 2.6537  Date_of_death = Aug2016 
 Prediction Error = -2.393  Date_of_death = Jul2016 
 Prediction Error = -0.228  Date_of_death = Jun2016 
 Prediction Error = 2.5121  Date_of_death = May2016 
 Prediction Error = -2.12  Date_of_death = Apr2016 
 Prediction Error = 3.6208  Date_of_death = Mar2016 
 Prediction Error = -0.654  Date_of_death = Feb2016 
 Prediction Error = 3.3644  Date_of_death = Jan2016 
 Prediction Error = -0.115  Date_of_death = Dec2015 
 Prediction Error = -1.247  Date_of_death = Nov2015 
 Prediction Error = -0.994  Date_of_death = Oct2015 
 Prediction Error = -1.852  Date_of_death = Sep2015 
 Prediction Error = -1.489  Date_of_death = Aug2015 
 Prediction Error = -2.692  Date_of_death = Jul2015 
 Prediction Error = -1.497  Date_of_death = Jun2015 
 Prediction Error = -1.963  Date_of_death = May2015 
 Prediction Error = -2.775  Date_of_death = Apr2015 
 Prediction Error = -1.026  Date_of_death = Mar2015 
 Prediction Error = 2.0169  Date_of_death = Feb2015 
 Prediction Error = -1.52  Date_of_death = Jan2015 
 Prediction Error = 2.5619  Date_of_death = Dec2014 
 Prediction Error = -2.099  Date_of_death = Nov2014 
 Prediction Error = -1.777  Date_of_death = Oct2014 
 Prediction Error = 1.8768  Date_of_death = Sep2014 
 Prediction Error = -1.048  Date_of_death = Aug2014 
 Prediction Error = 1.1599  Date_of_death = Jul2014 
 Prediction Error = 2.6689  Date_of_death = Jun2014 
 Prediction Error = 1.2036  Date_of_death = May2014 
 Prediction Error = 1.6343  Date_of_death = Apr2014 
 Prediction Error = 0.2703  Date_of_death = Mar2014 
 Prediction Error = 2.628  Date_of_death = Feb2014 
 Prediction Error = -1.36  Date_of_death = Jan2014 
 Prediction Error = -1.341  Date_of_death = Dec2013 
 Prediction Error = -0.908  Date_of_death = Nov2013 
 Prediction Error = -1.71  Date_of_death = Oct2013 
 Prediction Error = -2.248  Date_of_death = Sep2013 
 Prediction Error = -1.08  Date_of_death = Aug2013 
 Prediction Error = 1.3313  Date_of_death = Jul2013 
 Prediction Error = -1.668  Date_of_death = Jun2013 
 Prediction Error = 0.002  Date_of_death = May2013 
 Prediction Error = 1.5747  Date_of_death = Apr2013 
 Prediction Error = -0.012  Date_of_death = Mar2013 
 Prediction Error = 0.3419  Date_of_death = Feb2013 
 Prediction Error = -1.889  Date_of_death = Jan2013 
 Prediction Error = -1.867  Date_of_death = Dec2012 
 Prediction Error = -1.4  Date_of_death = Nov2012 
 Prediction Error = 2.365  Date_of_death = Oct2012 
 Prediction Error = 1.9087  Date_of_death = Sep2012 
 Prediction Error = -2.45  Date_of_death = Aug2012 
 Prediction Error = -2.062  Date_of_death = Jul2012 
 Prediction Error = -2.106  Date_of_death = Jun2012 
 Prediction Error = -0.286  Date_of_death = May2012 
 Prediction Error = -0.893  Date_of_death = Apr2012 
 Prediction Error = -1.626  Date_of_death = Mar2012 
 Prediction Error = -2.445  Date_of_death = Feb2012 
 Prediction Error = -1.558  Date_of_death = Jan2012 
 Prediction Error = -2.703  Date_of_death = Dec2011 
 Prediction Error = -2.267  Date_of_death = Nov2011 
 Prediction Error = 1.9073  Date_of_death = Oct2011 
 Prediction Error = 1.3642  Date_of_death = Sep2011 
 Prediction Error = 1.1427  Date_of_death = Aug2011 
 Prediction Error = 0.5947  Date_of_death = Jul2011 
 Prediction Error = -2.859  Date_of_death = Jun2011 
 Prediction Error = 1.5543  Date_of_death = May2011 
 Prediction Error = 0.9211  Date_of_death = Apr2011 
 Prediction Error = 2.566  Date_of_death = Mar2011 
 Prediction Error = 1.838  Date_of_death = Feb2011 
 Prediction Error = -2.791  Date_of_death = Jan2011 
 Prediction Error = 1.8054  Date_of_death = Dec2010 
 Prediction Error = -1.116  Date_of_death = Nov2010 
 Prediction Error = -1.026  Date_of_death = Oct2010 
 Prediction Error = -2.974  Date_of_death = Sep2010 
 Prediction Error = 1.3142  Date_of_death = Aug2010 
 Prediction Error = 0.6944  Date_of_death = Jul2010 
 Prediction Error = 1.4787  Date_of_death = Jun2010 
 Prediction Error = -1.592  Date_of_death = May2010 
 Prediction Error = 1.0908  Date_of_death = Apr2010 
 Prediction Error = 2.928  Date_of_death = Mar2010 
 Prediction Error = 0.9698  Date_of_death = Feb2010 
 Prediction Error = -3.158  Date_of_death = Jan2010 
 Prediction Error = 2.111  Date_of_death = Dec2009 
 Prediction Error = -3.632  Date_of_death = Nov2009 
 Prediction Error = -2.368  Date_of_death = Oct2009 
 Prediction Error = 1.2459  Date_of_death = Sep2009 
 Prediction Error = 1.5445  Date_of_death = Aug2009 
 Prediction Error = 0.8304  Date_of_death = Jul2009 
 Prediction Error = 1.7721  Date_of_death = Jun2009 
 Prediction Error = 1.819  Date_of_death = May2009 
 Prediction Error = 1.4479  Date_of_death = Apr2009 
 Prediction Error = -1.187  Date_of_death = Mar2009 
 Prediction Error = -1.166  Date_of_death = Feb2009 
 Prediction Error = 1.1161  Date_of_death = Jan2009 
 Prediction Error = 2.6148  Date_of_death = Dec2008 
 Prediction Error = 0.8349  Date_of_death = Nov2008 
 Prediction Error = 2.5045  Date_of_death = Oct2008 
 Prediction Error = 2.0792  Date_of_death = Sep2008 
 Prediction Error = 0.0692  Date_of_death = Aug2008 
 Prediction Error = 1.5888  Date_of_death = Jul2008 
 Prediction Error = -2.118  Date_of_death = Jun2008 
 Prediction Error = -2.216  Date_of_death = May2008 
 Prediction Error = -2.812  Date_of_death = Apr2008 
 Prediction Error = -1.235  Date_of_death = Mar2008 
 Prediction Error = 2.36  Date_of_death = Feb2008 
 Prediction Error = 1.497  Date_of_death = Jan2008 
 Prediction Error = -1.553  Date_of_death = Dec2007 
 Prediction Error = 1.0233  Date_of_death = Nov2007 
 Prediction Error = -1.92  Date_of_death = Oct2007 
 Prediction Error = -2.593  Date_of_death = Sep2007 
 Prediction Error = -2.745  Date_of_death = Aug2007 
 Prediction Error = -2.291  Date_of_death = Jul2007 
 Prediction Error = 1.7152  Date_of_death = Jun2007 
 Prediction Error = 1.7607  Date_of_death = May2007 
 Prediction Error = -1.186  Date_of_death = Apr2007 
 Prediction Error = -1.705  Date_of_death = Mar2007 
 Prediction Error = -2.399  Date_of_death = Feb2007 
 Prediction Error = 1.2597  Date_of_death = Jan2007 
 Prediction Error = -2.377  Date_of_death = Dec2006 
 Prediction Error = 0.6742  Date_of_death = Nov2006 
 Prediction Error = -2.86  Date_of_death = Oct2006 
 Prediction Error = 1.2888  Date_of_death = Sep2006 
 Prediction Error = 1.2624  Date_of_death = Aug2006 
 Prediction Error = 0.7222  Date_of_death = Jul2006 
 Prediction Error = 1.9088  Date_of_death = Jun2006 
 Prediction Error = 1.9747  Date_of_death = May2006 
 Prediction Error = 0.9597  Date_of_death = Apr2006 
 Prediction Error = 2.9459  Date_of_death = Mar2006 
 Prediction Error = 2.3039  Date_of_death = Feb2006 
 Prediction Error = -2.989  Date_of_death = Jan2006 
 Prediction Error = 2.4268  Date_of_death = Dec2005 
 Prediction Error = -3.733  Date_of_death = Nov2005 
 Prediction Error = 1.9287  Date_of_death = Oct2005 
 Prediction Error = 2.1015  Date_of_death = Sep2005 
 Prediction Error = 2.1031  Date_of_death = Aug2005 
 Prediction Error = -3.599  Date_of_death = Jul2005 
 Prediction Error = 2.7643  Date_of_death = Jun2005 
 Prediction Error = 2.8336  Date_of_death = May2005 
 Prediction Error = -3.465  Date_of_death = Apr2005 
 Prediction Error = 3.871  Date_of_death = Mar2005 
 Prediction Error = -0.701  Date_of_death = Feb2005 
 Prediction Error = -3.494  Date_of_death = Jan2005 
 Prediction Error = -1.908  Date_of_death = Dec2004 
 Prediction Error = 0.497  Date_of_death = Nov2004 
 Prediction Error = 2.5828  Date_of_death = Oct2004 
 Prediction Error = -2.459  Date_of_death = Sep2004 
 Prediction Error = -2.588  Date_of_death = Aug2004 
 Prediction Error = 0.4581  Date_of_death = Jul2004 
 Prediction Error = -0.525  Date_of_death = Jun2004 
 Prediction Error = -1.865  Date_of_death = May2004 
 Prediction Error = 0.417  Date_of_death = Apr2004 
 Prediction Error = -0.627  Date_of_death = Mar2004 
 Prediction Error = -2.662  Date_of_death = Feb2004 
 Prediction Error = 0.3076  Date_of_death = Jan2004 
 Prediction Error = -2.794  Date_of_death = Dec2003 
 Prediction Error = 0.2749  Date_of_death = Nov2003 
 Prediction Error = -2.5  Date_of_death = Oct2003 
 Prediction Error = -3.912  Date_of_death = Sep2003 
 Prediction Error = 1.4332  Date_of_death = Aug2003 
 Prediction Error = 0.1012  Date_of_death = Jul2003 
 Prediction Error = -2.626  Date_of_death = Jun2003 
 Prediction Error = -1.724  Date_of_death = May2003 
 Prediction Error = -0.036  Date_of_death = Apr2003 
 Prediction Error = -1.467  Date_of_death = Mar2003 
 Prediction Error = -4.245  Date_of_death = Feb2003 
 Prediction Error = -0.263  Date_of_death = Jan2003 
 Prediction Error = 1.0697  Date_of_death = Dec2002 
 Prediction Error = -0.166  Date_of_death = Nov2002 
 Prediction Error = 1.8447  Date_of_death = Oct2002 
 Prediction Error = -0.155  Date_of_death = Sep2002 
 Prediction Error = 1.8566  Date_of_death = Aug2002 
 Prediction Error = -0.163  Date_of_death = Jul2002 
 Prediction Error = -4.273  Date_of_death = Jun2002 
 Prediction Error = 1.7363  Date_of_death = May2002 
 Prediction Error = -0.265  Date_of_death = Apr2002 
 Prediction Error = 3.804  Date_of_death = Mar2002 
 Prediction Error = -0.215  Date_of_death = Feb2002 
 Prediction Error = -0.225  Date_of_death = Jan2002 
 Prediction Error = 1.7956  Date_of_death = Dec2001 
 Prediction Error = -0.145  Date_of_death = Nov2001 
 Prediction Error = 3.8935  Date_of_death = Oct2001 
 Prediction Error = -0.118  Date_of_death = Sep2001 
 Prediction Error = 3.9268  Date_of_death = Aug2001 
 Prediction Error = -0.086  Date_of_death = Jul2001 
 Prediction Error = -0.092  Date_of_death = Jun2001 
 Prediction Error = 3.9595  Date_of_death = May2001 
 Prediction Error = -0.047  Date_of_death = Apr2001 
 Prediction Error = -0.054  Date_of_death = Mar2001 
 Prediction Error = -0.061  Date_of_death = Feb2001 
 Prediction Error = -0.061  Date_of_death = Jan2001 
 Prediction Error = 4  Date_of_death = Sep2019 
 2*STD = 3.7868 
 -2*STD = -3.787  Date_of_death = Aug2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = Aug2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = Jul2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = Jul2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = Jun2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = Jun2019 
 2*STD = 3.7869 
 -2*STD = -3.787  Date_of_death = May2019 
 2*STD = 3.787 
 -2*STD = -3.787  Date_of_death = May2019 
 2*STD = 3.787 
 -2*STD = -3.787  Date_of_death = Apr2019 
 2*STD = 3.787 
 -2*STD = -3.787  Date_of_death = Apr2019 
 2*STD = 3.787 
 -2*STD = -3.787  Date_of_death = Mar2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Mar2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Feb2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Feb2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Jan2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Jan2019 
 2*STD = 3.7871 
 -2*STD = -3.787  Date_of_death = Dec2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Dec2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Nov2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Nov2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Oct2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Oct2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Sep2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Sep2018 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Aug2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Aug2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jul2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jul2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jun2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jun2018 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = May2018 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = May2018 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = Apr2018 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = Apr2018 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = Mar2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Mar2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Feb2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Feb2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Jan2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Jan2018 
 2*STD = 3.7894 
 -2*STD = -3.789  Date_of_death = Dec2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Dec2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Nov2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Nov2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Oct2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Oct2017 
 2*STD = 3.7918 
 -2*STD = -3.792  Date_of_death = Sep2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Sep2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Aug2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Aug2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Jul2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Jul2017 
 2*STD = 3.7919 
 -2*STD = -3.792  Date_of_death = Jun2017 
 2*STD = 3.792 
 -2*STD = -3.792  Date_of_death = Jun2017 
 2*STD = 3.792 
 -2*STD = -3.792  Date_of_death = May2017 
 2*STD = 3.792 
 -2*STD = -3.792  Date_of_death = May2017 
 2*STD = 3.792 
 -2*STD = -3.792  Date_of_death = Apr2017 
 2*STD = 3.7921 
 -2*STD = -3.792  Date_of_death = Apr2017 
 2*STD = 3.7921 
 -2*STD = -3.792  Date_of_death = Mar2017 
 2*STD = 3.7921 
 -2*STD = -3.792  Date_of_death = Mar2017 
 2*STD = 3.7921 
 -2*STD = -3.792  Date_of_death = Feb2017 
 2*STD = 3.7922 
 -2*STD = -3.792  Date_of_death = Feb2017 
 2*STD = 3.7922 
 -2*STD = -3.792  Date_of_death = Jan2017 
 2*STD = 3.7922 
 -2*STD = -3.792  Date_of_death = Jan2017 
 2*STD = 3.7922 
 -2*STD = -3.792  Date_of_death = Dec2016 
 2*STD = 3.795 
 -2*STD = -3.795  Date_of_death = Dec2016 
 2*STD = 3.795 
 -2*STD = -3.795  Date_of_death = Nov2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Nov2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Oct2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Oct2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Sep2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Sep2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Aug2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Aug2016 
 2*STD = 3.7951 
 -2*STD = -3.795  Date_of_death = Jul2016 
 2*STD = 3.7952 
 -2*STD = -3.795  Date_of_death = Jul2016 
 2*STD = 3.7952 
 -2*STD = -3.795  Date_of_death = Jun2016 
 2*STD = 3.7952 
 -2*STD = -3.795  Date_of_death = Jun2016 
 2*STD = 3.7952 
 -2*STD = -3.795  Date_of_death = May2016 
 2*STD = 3.7953 
 -2*STD = -3.795  Date_of_death = May2016 
 2*STD = 3.7953 
 -2*STD = -3.795  Date_of_death = Apr2016 
 2*STD = 3.7953 
 -2*STD = -3.795  Date_of_death = Apr2016 
 2*STD = 3.7953 
 -2*STD = -3.795  Date_of_death = Mar2016 
 2*STD = 3.7954 
 -2*STD = -3.795  Date_of_death = Mar2016 
 2*STD = 3.7954 
 -2*STD = -3.795  Date_of_death = Feb2016 
 2*STD = 3.7955 
 -2*STD = -3.795  Date_of_death = Feb2016 
 2*STD = 3.7955 
 -2*STD = -3.795  Date_of_death = Jan2016 
 2*STD = 3.7955 
 -2*STD = -3.795  Date_of_death = Jan2016 
 2*STD = 3.7955 
 -2*STD = -3.795  Date_of_death = Dec2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Dec2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Nov2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Nov2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Oct2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Oct2015 
 2*STD = 3.7989 
 -2*STD = -3.799  Date_of_death = Sep2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Sep2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Aug2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Aug2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Jul2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Jul2015 
 2*STD = 3.799 
 -2*STD = -3.799  Date_of_death = Jun2015 
 2*STD = 3.7991 
 -2*STD = -3.799  Date_of_death = Jun2015 
 2*STD = 3.7991 
 -2*STD = -3.799  Date_of_death = May2015 
 2*STD = 3.7992 
 -2*STD = -3.799  Date_of_death = May2015 
 2*STD = 3.7992 
 -2*STD = -3.799  Date_of_death = Apr2015 
 2*STD = 3.7992 
 -2*STD = -3.799  Date_of_death = Apr2015 
 2*STD = 3.7992 
 -2*STD = -3.799  Date_of_death = Mar2015 
 2*STD = 3.7993 
 -2*STD = -3.799  Date_of_death = Mar2015 
 2*STD = 3.7993 
 -2*STD = -3.799  Date_of_death = Feb2015 
 2*STD = 3.7994 
 -2*STD = -3.799  Date_of_death = Feb2015 
 2*STD = 3.7994 
 -2*STD = -3.799  Date_of_death = Jan2015 
 2*STD = 3.7994 
 -2*STD = -3.799  Date_of_death = Jan2015 
 2*STD = 3.7994 
 -2*STD = -3.799  Date_of_death = Dec2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Dec2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Nov2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Nov2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Oct2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Oct2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Sep2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Sep2014 
 2*STD = 3.8036 
 -2*STD = -3.804  Date_of_death = Aug2014 
 2*STD = 3.8037 
 -2*STD = -3.804  Date_of_death = Aug2014 
 2*STD = 3.8037 
 -2*STD = -3.804  Date_of_death = Jul2014 
 2*STD = 3.8037 
 -2*STD = -3.804  Date_of_death = Jul2014 
 2*STD = 3.8037 
 -2*STD = -3.804  Date_of_death = Jun2014 
 2*STD = 3.8038 
 -2*STD = -3.804  Date_of_death = Jun2014 
 2*STD = 3.8038 
 -2*STD = -3.804  Date_of_death = May2014 
 2*STD = 3.8039 
 -2*STD = -3.804  Date_of_death = May2014 
 2*STD = 3.8039 
 -2*STD = -3.804  Date_of_death = Apr2014 
 2*STD = 3.804 
 -2*STD = -3.804  Date_of_death = Apr2014 
 2*STD = 3.804 
 -2*STD = -3.804  Date_of_death = Mar2014 
 2*STD = 3.8041 
 -2*STD = -3.804  Date_of_death = Mar2014 
 2*STD = 3.8041 
 -2*STD = -3.804  Date_of_death = Feb2014 
 2*STD = 3.8042 
 -2*STD = -3.804  Date_of_death = Feb2014 
 2*STD = 3.8042 
 -2*STD = -3.804  Date_of_death = Jan2014 
 2*STD = 3.8042 
 -2*STD = -3.804  Date_of_death = Jan2014 
 2*STD = 3.8042 
 -2*STD = -3.804  Date_of_death = Dec2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Dec2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Nov2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Nov2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Oct2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Oct2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Sep2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Sep2013 
 2*STD = 3.8093 
 -2*STD = -3.809  Date_of_death = Aug2013 
 2*STD = 3.8094 
 -2*STD = -3.809  Date_of_death = Aug2013 
 2*STD = 3.8094 
 -2*STD = -3.809  Date_of_death = Jul2013 
 2*STD = 3.8094 
 -2*STD = -3.809  Date_of_death = Jul2013 
 2*STD = 3.8094 
 -2*STD = -3.809  Date_of_death = Jun2013 
 2*STD = 3.8095 
 -2*STD = -3.81  Date_of_death = Jun2013 
 2*STD = 3.8095 
 -2*STD = -3.81  Date_of_death = May2013 
 2*STD = 3.8096 
 -2*STD = -3.81  Date_of_death = May2013 
 2*STD = 3.8096 
 -2*STD = -3.81  Date_of_death = Apr2013 
 2*STD = 3.8097 
 -2*STD = -3.81  Date_of_death = Apr2013 
 2*STD = 3.8097 
 -2*STD = -3.81  Date_of_death = Mar2013 
 2*STD = 3.8098 
 -2*STD = -3.81  Date_of_death = Mar2013 
 2*STD = 3.8098 
 -2*STD = -3.81  Date_of_death = Feb2013 
 2*STD = 3.81 
 -2*STD = -3.81  Date_of_death = Feb2013 
 2*STD = 3.81 
 -2*STD = -3.81  Date_of_death = Jan2013 
 2*STD = 3.81 
 -2*STD = -3.81  Date_of_death = Jan2013 
 2*STD = 3.81 
 -2*STD = -3.81  Date_of_death = Dec2012 
 2*STD = 3.8162 
 -2*STD = -3.816  Date_of_death = Dec2012 
 2*STD = 3.8162 
 -2*STD = -3.816  Date_of_death = Nov2012 
 2*STD = 3.8162 
 -2*STD = -3.816  Date_of_death = Nov2012 
 2*STD = 3.8162 
 -2*STD = -3.816  Date_of_death = Oct2012 
 2*STD = 3.8163 
 -2*STD = -3.816  Date_of_death = Oct2012 
 2*STD = 3.8163 
 -2*STD = -3.816  Date_of_death = Sep2012 
 2*STD = 3.8163 
 -2*STD = -3.816  Date_of_death = Sep2012 
 2*STD = 3.8163 
 -2*STD = -3.816  Date_of_death = Aug2012 
 2*STD = 3.8164 
 -2*STD = -3.816  Date_of_death = Aug2012 
 2*STD = 3.8164 
 -2*STD = -3.816  Date_of_death = Jul2012 
 2*STD = 3.8164 
 -2*STD = -3.816  Date_of_death = Jul2012 
 2*STD = 3.8164 
 -2*STD = -3.816  Date_of_death = Jun2012 
 2*STD = 3.8165 
 -2*STD = -3.817  Date_of_death = Jun2012 
 2*STD = 3.8165 
 -2*STD = -3.817  Date_of_death = May2012 
 2*STD = 3.8166 
 -2*STD = -3.817  Date_of_death = May2012 
 2*STD = 3.8166 
 -2*STD = -3.817  Date_of_death = Apr2012 
 2*STD = 3.8167 
 -2*STD = -3.817  Date_of_death = Apr2012 
 2*STD = 3.8167 
 -2*STD = -3.817  Date_of_death = Mar2012 
 2*STD = 3.8169 
 -2*STD = -3.817  Date_of_death = Mar2012 
 2*STD = 3.8169 
 -2*STD = -3.817  Date_of_death = Feb2012 
 2*STD = 3.817 
 -2*STD = -3.817  Date_of_death = Feb2012 
 2*STD = 3.817 
 -2*STD = -3.817  Date_of_death = Jan2012 
 2*STD = 3.8171 
 -2*STD = -3.817  Date_of_death = Jan2012 
 2*STD = 3.8171 
 -2*STD = -3.817  Date_of_death = Dec2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Dec2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Nov2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Nov2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Oct2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Oct2011 
 2*STD = 3.8249 
 -2*STD = -3.825  Date_of_death = Sep2011 
 2*STD = 3.825 
 -2*STD = -3.825  Date_of_death = Sep2011 
 2*STD = 3.825 
 -2*STD = -3.825  Date_of_death = Aug2011 
 2*STD = 3.825 
 -2*STD = -3.825  Date_of_death = Aug2011 
 2*STD = 3.825 
 -2*STD = -3.825  Date_of_death = Jul2011 
 2*STD = 3.8251 
 -2*STD = -3.825  Date_of_death = Jul2011 
 2*STD = 3.8251 
 -2*STD = -3.825  Date_of_death = Jun2011 
 2*STD = 3.8252 
 -2*STD = -3.825  Date_of_death = Jun2011 
 2*STD = 3.8252 
 -2*STD = -3.825  Date_of_death = May2011 
 2*STD = 3.8253 
 -2*STD = -3.825  Date_of_death = May2011 
 2*STD = 3.8253 
 -2*STD = -3.825  Date_of_death = Apr2011 
 2*STD = 3.8254 
 -2*STD = -3.825  Date_of_death = Apr2011 
 2*STD = 3.8254 
 -2*STD = -3.825  Date_of_death = Mar2011 
 2*STD = 3.8256 
 -2*STD = -3.826  Date_of_death = Mar2011 
 2*STD = 3.8256 
 -2*STD = -3.826  Date_of_death = Feb2011 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Feb2011 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Jan2011 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Jan2011 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Dec2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Dec2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Nov2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Nov2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Oct2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Oct2010 
 2*STD = 3.8357 
 -2*STD = -3.836  Date_of_death = Sep2010 
 2*STD = 3.8358 
 -2*STD = -3.836  Date_of_death = Sep2010 
 2*STD = 3.8358 
 -2*STD = -3.836  Date_of_death = Aug2010 
 2*STD = 3.8359 
 -2*STD = -3.836  Date_of_death = Aug2010 
 2*STD = 3.8359 
 -2*STD = -3.836  Date_of_death = Jul2010 
 2*STD = 3.836 
 -2*STD = -3.836  Date_of_death = Jul2010 
 2*STD = 3.836 
 -2*STD = -3.836  Date_of_death = Jun2010 
 2*STD = 3.8361 
 -2*STD = -3.836  Date_of_death = Jun2010 
 2*STD = 3.8361 
 -2*STD = -3.836  Date_of_death = May2010 
 2*STD = 3.8362 
 -2*STD = -3.836  Date_of_death = May2010 
 2*STD = 3.8362 
 -2*STD = -3.836  Date_of_death = Apr2010 
 2*STD = 3.8364 
 -2*STD = -3.836  Date_of_death = Apr2010 
 2*STD = 3.8364 
 -2*STD = -3.836  Date_of_death = Mar2010 
 2*STD = 3.8366 
 -2*STD = -3.837  Date_of_death = Mar2010 
 2*STD = 3.8366 
 -2*STD = -3.837  Date_of_death = Feb2010 
 2*STD = 3.8368 
 -2*STD = -3.837  Date_of_death = Feb2010 
 2*STD = 3.8368 
 -2*STD = -3.837  Date_of_death = Jan2010 
 2*STD = 3.8369 
 -2*STD = -3.837  Date_of_death = Jan2010 
 2*STD = 3.8369 
 -2*STD = -3.837  Date_of_death = Dec2009 
 2*STD = 3.8495 
 -2*STD = -3.849  Date_of_death = Dec2009 
 2*STD = 3.8495 
 -2*STD = -3.849  Date_of_death = Nov2009 
 2*STD = 3.8495 
 -2*STD = -3.849  Date_of_death = Nov2009 
 2*STD = 3.8495 
 -2*STD = -3.849  Date_of_death = Oct2009 
 2*STD = 3.8495 
 -2*STD = -3.85  Date_of_death = Oct2009 
 2*STD = 3.8495 
 -2*STD = -3.85  Date_of_death = Sep2009 
 2*STD = 3.8496 
 -2*STD = -3.85  Date_of_death = Sep2009 
 2*STD = 3.8496 
 -2*STD = -3.85  Date_of_death = Aug2009 
 2*STD = 3.8497 
 -2*STD = -3.85  Date_of_death = Aug2009 
 2*STD = 3.8497 
 -2*STD = -3.85  Date_of_death = Jul2009 
 2*STD = 3.8498 
 -2*STD = -3.85  Date_of_death = Jul2009 
 2*STD = 3.8498 
 -2*STD = -3.85  Date_of_death = Jun2009 
 2*STD = 3.8499 
 -2*STD = -3.85  Date_of_death = Jun2009 
 2*STD = 3.8499 
 -2*STD = -3.85  Date_of_death = May2009 
 2*STD = 3.8501 
 -2*STD = -3.85  Date_of_death = May2009 
 2*STD = 3.8501 
 -2*STD = -3.85  Date_of_death = Apr2009 
 2*STD = 3.8503 
 -2*STD = -3.85  Date_of_death = Apr2009 
 2*STD = 3.8503 
 -2*STD = -3.85  Date_of_death = Mar2009 
 2*STD = 3.8506 
 -2*STD = -3.851  Date_of_death = Mar2009 
 2*STD = 3.8506 
 -2*STD = -3.851  Date_of_death = Feb2009 
 2*STD = 3.8509 
 -2*STD = -3.851  Date_of_death = Feb2009 
 2*STD = 3.8509 
 -2*STD = -3.851  Date_of_death = Jan2009 
 2*STD = 3.851 
 -2*STD = -3.851  Date_of_death = Jan2009 
 2*STD = 3.851 
 -2*STD = -3.851  Date_of_death = Dec2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Dec2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Nov2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Nov2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Oct2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Oct2008 
 2*STD = 3.8674 
 -2*STD = -3.867  Date_of_death = Sep2008 
 2*STD = 3.8675 
 -2*STD = -3.868  Date_of_death = Sep2008 
 2*STD = 3.8675 
 -2*STD = -3.868  Date_of_death = Aug2008 
 2*STD = 3.8676 
 -2*STD = -3.868  Date_of_death = Aug2008 
 2*STD = 3.8676 
 -2*STD = -3.868  Date_of_death = Jul2008 
 2*STD = 3.8678 
 -2*STD = -3.868  Date_of_death = Jul2008 
 2*STD = 3.8678 
 -2*STD = -3.868  Date_of_death = Jun2008 
 2*STD = 3.8679 
 -2*STD = -3.868  Date_of_death = Jun2008 
 2*STD = 3.8679 
 -2*STD = -3.868  Date_of_death = May2008 
 2*STD = 3.8681 
 -2*STD = -3.868  Date_of_death = May2008 
 2*STD = 3.8681 
 -2*STD = -3.868  Date_of_death = Apr2008 
 2*STD = 3.8684 
 -2*STD = -3.868  Date_of_death = Apr2008 
 2*STD = 3.8684 
 -2*STD = -3.868  Date_of_death = Mar2008 
 2*STD = 3.8687 
 -2*STD = -3.869  Date_of_death = Mar2008 
 2*STD = 3.8687 
 -2*STD = -3.869  Date_of_death = Feb2008 
 2*STD = 3.869 
 -2*STD = -3.869  Date_of_death = Feb2008 
 2*STD = 3.869 
 -2*STD = -3.869  Date_of_death = Jan2008 
 2*STD = 3.8692 
 -2*STD = -3.869  Date_of_death = Jan2008 
 2*STD = 3.8692 
 -2*STD = -3.869  Date_of_death = Dec2007 
 2*STD = 3.8911 
 -2*STD = -3.891  Date_of_death = Dec2007 
 2*STD = 3.8911 
 -2*STD = -3.891  Date_of_death = Nov2007 
 2*STD = 3.8911 
 -2*STD = -3.891  Date_of_death = Nov2007 
 2*STD = 3.8911 
 -2*STD = -3.891  Date_of_death = Oct2007 
 2*STD = 3.8912 
 -2*STD = -3.891  Date_of_death = Oct2007 
 2*STD = 3.8912 
 -2*STD = -3.891  Date_of_death = Sep2007 
 2*STD = 3.8913 
 -2*STD = -3.891  Date_of_death = Sep2007 
 2*STD = 3.8913 
 -2*STD = -3.891  Date_of_death = Aug2007 
 2*STD = 3.8914 
 -2*STD = -3.891  Date_of_death = Aug2007 
 2*STD = 3.8914 
 -2*STD = -3.891  Date_of_death = Jul2007 
 2*STD = 3.8916 
 -2*STD = -3.892  Date_of_death = Jul2007 
 2*STD = 3.8916 
 -2*STD = -3.892  Date_of_death = Jun2007 
 2*STD = 3.8918 
 -2*STD = -3.892  Date_of_death = Jun2007 
 2*STD = 3.8918 
 -2*STD = -3.892  Date_of_death = May2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = May2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Apr2007 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Apr2007 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Mar2007 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Mar2007 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Feb2007 
 2*STD = 3.8932 
 -2*STD = -3.893  Date_of_death = Feb2007 
 2*STD = 3.8932 
 -2*STD = -3.893  Date_of_death = Jan2007 
 2*STD = 3.8934 
 -2*STD = -3.893  Date_of_death = Jan2007 
 2*STD = 3.8934 
 -2*STD = -3.893  Date_of_death = Dec2006 
 2*STD = 3.9236 
 -2*STD = -3.924  Date_of_death = Dec2006 
 2*STD = 3.9236 
 -2*STD = -3.924  Date_of_death = Nov2006 
 2*STD = 3.9236 
 -2*STD = -3.924  Date_of_death = Nov2006 
 2*STD = 3.9236 
 -2*STD = -3.924  Date_of_death = Oct2006 
 2*STD = 3.9237 
 -2*STD = -3.924  Date_of_death = Oct2006 
 2*STD = 3.9237 
 -2*STD = -3.924  Date_of_death = Sep2006 
 2*STD = 3.9239 
 -2*STD = -3.924  Date_of_death = Sep2006 
 2*STD = 3.9239 
 -2*STD = -3.924  Date_of_death = Aug2006 
 2*STD = 3.924 
 -2*STD = -3.924  Date_of_death = Aug2006 
 2*STD = 3.924 
 -2*STD = -3.924  Date_of_death = Jul2006 
 2*STD = 3.9242 
 -2*STD = -3.924  Date_of_death = Jul2006 
 2*STD = 3.9242 
 -2*STD = -3.924  Date_of_death = Jun2006 
 2*STD = 3.9245 
 -2*STD = -3.924  Date_of_death = Jun2006 
 2*STD = 3.9245 
 -2*STD = -3.924  Date_of_death = May2006 
 2*STD = 3.9248 
 -2*STD = -3.925  Date_of_death = May2006 
 2*STD = 3.9248 
 -2*STD = -3.925  Date_of_death = Apr2006 
 2*STD = 3.9252 
 -2*STD = -3.925  Date_of_death = Apr2006 
 2*STD = 3.9252 
 -2*STD = -3.925  Date_of_death = Mar2006 
 2*STD = 3.9256 
 -2*STD = -3.926  Date_of_death = Mar2006 
 2*STD = 3.9256 
 -2*STD = -3.926  Date_of_death = Feb2006 
 2*STD = 3.9261 
 -2*STD = -3.926  Date_of_death = Feb2006 
 2*STD = 3.9261 
 -2*STD = -3.926  Date_of_death = Jan2006 
 2*STD = 3.9265 
 -2*STD = -3.926  Date_of_death = Jan2006 
 2*STD = 3.9265 
 -2*STD = -3.926  Date_of_death = Dec2005 
 2*STD = 3.9701 
 -2*STD = -3.97  Date_of_death = Dec2005 
 2*STD = 3.9701 
 -2*STD = -3.97  Date_of_death = Nov2005 
 2*STD = 3.9701 
 -2*STD = -3.97  Date_of_death = Nov2005 
 2*STD = 3.9701 
 -2*STD = -3.97  Date_of_death = Oct2005 
 2*STD = 3.9702 
 -2*STD = -3.97  Date_of_death = Oct2005 
 2*STD = 3.9702 
 -2*STD = -3.97  Date_of_death = Sep2005 
 2*STD = 3.9704 
 -2*STD = -3.97  Date_of_death = Sep2005 
 2*STD = 3.9704 
 -2*STD = -3.97  Date_of_death = Aug2005 
 2*STD = 3.9706 
 -2*STD = -3.971  Date_of_death = Aug2005 
 2*STD = 3.9706 
 -2*STD = -3.971  Date_of_death = Jul2005 
 2*STD = 3.9708 
 -2*STD = -3.971  Date_of_death = Jul2005 
 2*STD = 3.9708 
 -2*STD = -3.971  Date_of_death = Jun2005 
 2*STD = 3.9711 
 -2*STD = -3.971  Date_of_death = Jun2005 
 2*STD = 3.9711 
 -2*STD = -3.971  Date_of_death = May2005 
 2*STD = 3.9715 
 -2*STD = -3.971  Date_of_death = May2005 
 2*STD = 3.9715 
 -2*STD = -3.971  Date_of_death = Apr2005 
 2*STD = 3.9719 
 -2*STD = -3.972  Date_of_death = Apr2005 
 2*STD = 3.9719 
 -2*STD = -3.972  Date_of_death = Mar2005 
 2*STD = 3.9725 
 -2*STD = -3.972  Date_of_death = Mar2005 
 2*STD = 3.9725 
 -2*STD = -3.972  Date_of_death = Feb2005 
 2*STD = 3.9731 
 -2*STD = -3.973  Date_of_death = Feb2005 
 2*STD = 3.9731 
 -2*STD = -3.973  Date_of_death = Jan2005 
 2*STD = 3.9736 
 -2*STD = -3.974  Date_of_death = Jan2005 
 2*STD = 3.9736 
 -2*STD = -3.974  Date_of_death = Dec2004 
 2*STD = 4.0407 
 -2*STD = -4.041  Date_of_death = Dec2004 
 2*STD = 4.0407 
 -2*STD = -4.041  Date_of_death = Nov2004 
 2*STD = 4.0408 
 -2*STD = -4.041  Date_of_death = Nov2004 
 2*STD = 4.0408 
 -2*STD = -4.041  Date_of_death = Oct2004 
 2*STD = 4.0409 
 -2*STD = -4.041  Date_of_death = Oct2004 
 2*STD = 4.0409 
 -2*STD = -4.041  Date_of_death = Sep2004 
 2*STD = 4.0411 
 -2*STD = -4.041  Date_of_death = Sep2004 
 2*STD = 4.0411 
 -2*STD = -4.041  Date_of_death = Aug2004 
 2*STD = 4.0413 
 -2*STD = -4.041  Date_of_death = Aug2004 
 2*STD = 4.0413 
 -2*STD = -4.041  Date_of_death = Jul2004 
 2*STD = 4.0415 
 -2*STD = -4.042  Date_of_death = Jul2004 
 2*STD = 4.0415 
 -2*STD = -4.042  Date_of_death = Jun2004 
 2*STD = 4.0419 
 -2*STD = -4.042  Date_of_death = Jun2004 
 2*STD = 4.0419 
 -2*STD = -4.042  Date_of_death = May2004 
 2*STD = 4.0423 
 -2*STD = -4.042  Date_of_death = May2004 
 2*STD = 4.0423 
 -2*STD = -4.042  Date_of_death = Apr2004 
 2*STD = 4.0428 
 -2*STD = -4.043  Date_of_death = Apr2004 
 2*STD = 4.0428 
 -2*STD = -4.043  Date_of_death = Mar2004 
 2*STD = 4.0435 
 -2*STD = -4.043  Date_of_death = Mar2004 
 2*STD = 4.0435 
 -2*STD = -4.043  Date_of_death = Feb2004 
 2*STD = 4.0442 
 -2*STD = -4.044  Date_of_death = Feb2004 
 2*STD = 4.0442 
 -2*STD = -4.044  Date_of_death = Jan2004 
 2*STD = 4.0449 
 -2*STD = -4.045  Date_of_death = Jan2004 
 2*STD = 4.0449 
 -2*STD = -4.045  Date_of_death = Dec2003 
 2*STD = 4.1589 
 -2*STD = -4.159  Date_of_death = Dec2003 
 2*STD = 4.1589 
 -2*STD = -4.159  Date_of_death = Nov2003 
 2*STD = 4.1589 
 -2*STD = -4.159  Date_of_death = Nov2003 
 2*STD = 4.1589 
 -2*STD = -4.159  Date_of_death = Oct2003 
 2*STD = 4.159 
 -2*STD = -4.159  Date_of_death = Oct2003 
 2*STD = 4.159 
 -2*STD = -4.159  Date_of_death = Sep2003 
 2*STD = 4.1592 
 -2*STD = -4.159  Date_of_death = Sep2003 
 2*STD = 4.1592 
 -2*STD = -4.159  Date_of_death = Aug2003 
 2*STD = 4.1594 
 -2*STD = -4.159  Date_of_death = Aug2003 
 2*STD = 4.1594 
 -2*STD = -4.159  Date_of_death = Jul2003 
 2*STD = 4.1597 
 -2*STD = -4.16  Date_of_death = Jul2003 
 2*STD = 4.1597 
 -2*STD = -4.16  Date_of_death = Jun2003 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = Jun2003 
 2*STD = 4.16 
 -2*STD = -4.16  Date_of_death = May2003 
 2*STD = 4.1605 
 -2*STD = -4.16  Date_of_death = May2003 
 2*STD = 4.1605 
 -2*STD = -4.16  Date_of_death = Apr2003 
 2*STD = 4.161 
 -2*STD = -4.161  Date_of_death = Apr2003 
 2*STD = 4.161 
 -2*STD = -4.161  Date_of_death = Mar2003 
 2*STD = 4.1617 
 -2*STD = -4.162  Date_of_death = Mar2003 
 2*STD = 4.1617 
 -2*STD = -4.162  Date_of_death = Feb2003 
 2*STD = 4.1625 
 -2*STD = -4.163  Date_of_death = Feb2003 
 2*STD = 4.1625 
 -2*STD = -4.163  Date_of_death = Jan2003 
 2*STD = 4.1633 
 -2*STD = -4.163  Date_of_death = Jan2003 
 2*STD = 4.1633 
 -2*STD = -4.163  Date_of_death = Dec2002 
 2*STD = 4.3917 
 -2*STD = -4.392  Date_of_death = Dec2002 
 2*STD = 4.3917 
 -2*STD = -4.392  Date_of_death = Nov2002 
 2*STD = 4.3917 
 -2*STD = -4.392  Date_of_death = Nov2002 
 2*STD = 4.3917 
 -2*STD = -4.392  Date_of_death = Oct2002 
 2*STD = 4.3918 
 -2*STD = -4.392  Date_of_death = Oct2002 
 2*STD = 4.3918 
 -2*STD = -4.392  Date_of_death = Sep2002 
 2*STD = 4.3919 
 -2*STD = -4.392  Date_of_death = Sep2002 
 2*STD = 4.3919 
 -2*STD = -4.392  Date_of_death = Aug2002 
 2*STD = 4.3921 
 -2*STD = -4.392  Date_of_death = Aug2002 
 2*STD = 4.3921 
 -2*STD = -4.392  Date_of_death = Jul2002 
 2*STD = 4.3923 
 -2*STD = -4.392  Date_of_death = Jul2002 
 2*STD = 4.3923 
 -2*STD = -4.392  Date_of_death = Jun2002 
 2*STD = 4.3926 
 -2*STD = -4.393  Date_of_death = Jun2002 
 2*STD = 4.3926 
 -2*STD = -4.393  Date_of_death = May2002 
 2*STD = 4.393 
 -2*STD = -4.393  Date_of_death = May2002 
 2*STD = 4.393 
 -2*STD = -4.393  Date_of_death = Apr2002 
 2*STD = 4.3935 
 -2*STD = -4.394  Date_of_death = Apr2002 
 2*STD = 4.3935 
 -2*STD = -4.394  Date_of_death = Mar2002 
 2*STD = 4.3941 
 -2*STD = -4.394  Date_of_death = Mar2002 
 2*STD = 4.3941 
 -2*STD = -4.394  Date_of_death = Feb2002 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = Feb2002 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = Jan2002 
 2*STD = 4.3956 
 -2*STD = -4.396  Date_of_death = Jan2002 
 2*STD = 4.3956 
 -2*STD = -4.396  Date_of_death = Dec2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Dec2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Nov2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Nov2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Oct2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Oct2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Sep2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Sep2001 
 2*STD = 5.0424 
 -2*STD = -5.042  Date_of_death = Aug2001 
 2*STD = 5.0425 
 -2*STD = -5.042  Date_of_death = Aug2001 
 2*STD = 5.0425 
 -2*STD = -5.042  Date_of_death = Jul2001 
 2*STD = 5.0426 
 -2*STD = -5.043  Date_of_death = Jul2001 
 2*STD = 5.0426 
 -2*STD = -5.043  Date_of_death = Jun2001 
 2*STD = 5.0428 
 -2*STD = -5.043  Date_of_death = Jun2001 
 2*STD = 5.0428 
 -2*STD = -5.043  Date_of_death = May2001 
 2*STD = 5.043 
 -2*STD = -5.043  Date_of_death = May2001 
 2*STD = 5.043 
 -2*STD = -5.043  Date_of_death = Apr2001 
 2*STD = 5.0434 
 -2*STD = -5.043  Date_of_death = Apr2001 
 2*STD = 5.0434 
 -2*STD = -5.043  Date_of_death = Mar2001 
 2*STD = 5.0439 
 -2*STD = -5.044  Date_of_death = Mar2001 
 2*STD = 5.0439 
 -2*STD = -5.044  Date_of_death = Feb2001 
 2*STD = 5.0444 
 -2*STD = -5.044  Date_of_death = Feb2001 
 2*STD = 5.0444 
 -2*STD = -5.044  Date_of_death = Jan2001 
 2*STD = 5.045 
 -2*STD = -5.045  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 OCT2019 2.688823 1.89341 -1.022193 6.399838
239 NOV2019 2.785220 1.89441 -0.927756 6.498196
240 DEC2019 1.899534 1.89661 -1.817759 5.616826
241 JAN2020 2.127988 1.89807 -1.592155 5.848130
242 FEB2020 1.954924 1.90033 -1.769651 5.679499
243 MAR2020 2.872513 1.90257 -0.856448 6.601475
244 APR2020 1.999811 1.90478 -1.733485 5.733107
245 MAY2020 2.457661 1.90697 -1.279927 6.195249
246 JUN2020 2.534700 1.90914 -1.207138 6.276537
247 JUL2020 2.367244 1.91127 -1.378782 6.113269
248 AUG2020 3.118175 1.91329 -0.631808 6.868159
249 SEP2020 2.488273 1.91419 -1.263462 6.240009

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 2.4883  Date_of_death = Aug2020 
 Forecast = 3.1182  Date_of_death = Aug2020 
 Forecast = 3.1182  Date_of_death = Jul2020 
 Forecast = 2.3672  Date_of_death = Jul2020 
 Forecast = 2.3672  Date_of_death = Jun2020 
 Forecast = 2.5347  Date_of_death = Jun2020 
 Forecast = 2.5347  Date_of_death = May2020 
 Forecast = 2.4577  Date_of_death = May2020 
 Forecast = 2.4577  Date_of_death = Apr2020 
 Forecast = 1.9998  Date_of_death = Apr2020 
 Forecast = 1.9998  Date_of_death = Mar2020 
 Forecast = 2.8725  Date_of_death = Mar2020 
 Forecast = 2.8725  Date_of_death = Feb2020 
 Forecast = 1.9549  Date_of_death = Feb2020 
 Forecast = 1.9549  Date_of_death = Jan2020 
 Forecast = 2.1280  Date_of_death = Jan2020 
 Forecast = 2.1280  Date_of_death = Dec2019 
 Forecast = 1.8995  Date_of_death = Dec2019 
 Forecast = 1.8995  Date_of_death = Nov2019 
 Forecast = 2.7852  Date_of_death = Nov2019 
 Forecast = 2.7852  Date_of_death = Oct2019 
 Forecast = 2.6888  Date_of_death = Sep2020 
 Upper 95% = 6.2400 
 Lower 95% = -1.2635  Date_of_death = Aug2020 
 Upper 95% = 6.8682 
 Lower 95% = -0.6318  Date_of_death = Aug2020 
 Upper 95% = 6.8682 
 Lower 95% = -0.6318  Date_of_death = Jul2020 
 Upper 95% = 6.1133 
 Lower 95% = -1.3788  Date_of_death = Jul2020 
 Upper 95% = 6.1133 
 Lower 95% = -1.3788  Date_of_death = Jun2020 
 Upper 95% = 6.2765 
 Lower 95% = -1.2071  Date_of_death = Jun2020 
 Upper 95% = 6.2765 
 Lower 95% = -1.2071  Date_of_death = May2020 
 Upper 95% = 6.1952 
 Lower 95% = -1.2799  Date_of_death = May2020 
 Upper 95% = 6.1952 
 Lower 95% = -1.2799  Date_of_death = Apr2020 
 Upper 95% = 5.7331 
 Lower 95% = -1.7335  Date_of_death = Apr2020 
 Upper 95% = 5.7331 
 Lower 95% = -1.7335  Date_of_death = Mar2020 
 Upper 95% = 6.6015 
 Lower 95% = -0.8564  Date_of_death = Mar2020 
 Upper 95% = 6.6015 
 Lower 95% = -0.8564  Date_of_death = Feb2020 
 Upper 95% = 5.6795 
 Lower 95% = -1.7697  Date_of_death = Feb2020 
 Upper 95% = 5.6795 
 Lower 95% = -1.7697  Date_of_death = Jan2020 
 Upper 95% = 5.8481 
 Lower 95% = -1.5922  Date_of_death = Jan2020 
 Upper 95% = 5.8481 
 Lower 95% = -1.5922  Date_of_death = Dec2019 
 Upper 95% = 5.6168 
 Lower 95% = -1.8178  Date_of_death = Dec2019 
 Upper 95% = 5.6168 
 Lower 95% = -1.8178  Date_of_death = Nov2019 
 Upper 95% = 6.4982 
 Lower 95% = -0.9278  Date_of_death = Nov2019 
 Upper 95% = 6.4982 
 Lower 95% = -0.9278  Date_of_death = Oct2019 
 Upper 95% = 6.3998 
 Lower 95% = -1.0222
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 2.4883  Date_of_death = Aug2020 
 Forecast = 3.1182  Date_of_death = Aug2020 
 Forecast = 3.1182  Date_of_death = Jul2020 
 Forecast = 2.3672  Date_of_death = Jul2020 
 Forecast = 2.3672  Date_of_death = Jun2020 
 Forecast = 2.5347  Date_of_death = Jun2020 
 Forecast = 2.5347  Date_of_death = May2020 
 Forecast = 2.4577  Date_of_death = May2020 
 Forecast = 2.4577  Date_of_death = Apr2020 
 Forecast = 1.9998  Date_of_death = Apr2020 
 Forecast = 1.9998  Date_of_death = Mar2020 
 Forecast = 2.8725  Date_of_death = Mar2020 
 Forecast = 2.8725  Date_of_death = Feb2020 
 Forecast = 1.9549  Date_of_death = Feb2020 
 Forecast = 1.9549  Date_of_death = Jan2020 
 Forecast = 2.1280  Date_of_death = Jan2020 
 Forecast = 2.1280  Date_of_death = Dec2019 
 Forecast = 1.8995  Date_of_death = Dec2019 
 Forecast = 1.8995  Date_of_death = Nov2019 
 Forecast = 2.7852  Date_of_death = Nov2019 
 Forecast = 2.7852  Date_of_death = Oct2019 
 Forecast = 2.6888  Date_of_death = Oct2019 
 Forecast = 2.6888  Date_of_death = Sep2019 
 Forecast = 2.7153  Date_of_death = Sep2019 
 Forecast = 2.7153  Date_of_death = Aug2019 
 Forecast = 3.0450  Date_of_death = Aug2019 
 Forecast = 3.0450  Date_of_death = Jul2019 
 Forecast = 2.4811  Date_of_death = Jul2019 
 Forecast = 2.4811  Date_of_death = Jun2019 
 Forecast = 2.5243  Date_of_death = Jun2019 
 Forecast = 2.5243  Date_of_death = May2019 
 Forecast = 2.7314  Date_of_death = May2019 
 Forecast = 2.7314  Date_of_death = Apr2019 
 Forecast = 1.6476  Date_of_death = Apr2019 
 Forecast = 1.6476  Date_of_death = Mar2019 
 Forecast = 2.5638  Date_of_death = Mar2019 
 Forecast = 2.5638  Date_of_death = Feb2019 
 Forecast = 1.9722  Date_of_death = Feb2019 
 Forecast = 1.9722  Date_of_death = Jan2019 
 Forecast = 2.0063  Date_of_death = Jan2019 
 Forecast = 2.0063  Date_of_death = Dec2018 
 Forecast = 1.9103  Date_of_death = Dec2018 
 Forecast = 1.9103  Date_of_death = Nov2018 
 Forecast = 2.3483  Date_of_death = Nov2018 
 Forecast = 2.3483  Date_of_death = Oct2018 
 Forecast = 2.1260  Date_of_death = Oct2018 
 Forecast = 2.1260  Date_of_death = Sep2018 
 Forecast = 2.5753  Date_of_death = Sep2018 
 Forecast = 2.5753  Date_of_death = Aug2018 
 Forecast = 2.9856  Date_of_death = Aug2018 
 Forecast = 2.9856  Date_of_death = Jul2018 
 Forecast = 2.2636  Date_of_death = Jul2018 
 Forecast = 2.2636  Date_of_death = Jun2018 
 Forecast = 2.5008  Date_of_death = Jun2018 
 Forecast = 2.5008  Date_of_death = May2018 
 Forecast = 2.7988  Date_of_death = May2018 
 Forecast = 2.7988  Date_of_death = Apr2018 
 Forecast = 1.8097  Date_of_death = Apr2018 
 Forecast = 1.8097  Date_of_death = Mar2018 
 Forecast = 3.0038  Date_of_death = Mar2018 
 Forecast = 3.0038  Date_of_death = Feb2018 
 Forecast = 2.3732  Date_of_death = Feb2018 
 Forecast = 2.3732  Date_of_death = Jan2018 
 Forecast = 2.4848  Date_of_death = Jan2018 
 Forecast = 2.4848  Date_of_death = Dec2017 
 Forecast = 2.4715  Date_of_death = Dec2017 
 Forecast = 2.4715  Date_of_death = Nov2017 
 Forecast = 2.5895  Date_of_death = Nov2017 
 Forecast = 2.5895  Date_of_death = Oct2017 
 Forecast = 2.9763  Date_of_death = Oct2017 
 Forecast = 2.9763  Date_of_death = Sep2017 
 Forecast = 2.8133  Date_of_death = Sep2017 
 Forecast = 2.8133  Date_of_death = Aug2017 
 Forecast = 3.1597  Date_of_death = Aug2017 
 Forecast = 3.1597  Date_of_death = Jul2017 
 Forecast = 2.1871  Date_of_death = Jul2017 
 Forecast = 2.1871  Date_of_death = Jun2017 
 Forecast = 2.8593  Date_of_death = Jun2017 
 Forecast = 2.8593  Date_of_death = May2017 
 Forecast = 2.9816  Date_of_death = May2017 
 Forecast = 2.9816  Date_of_death = Apr2017 
 Forecast = 1.9897  Date_of_death = Apr2017 
 Forecast = 1.9897  Date_of_death = Mar2017 
 Forecast = 2.6983  Date_of_death = Mar2017 
 Forecast = 2.6983  Date_of_death = Feb2017 
 Forecast = 2.2900  Date_of_death = Feb2017 
 Forecast = 2.2900  Date_of_death = Jan2017 
 Forecast = 2.4660  Date_of_death = Jan2017 
 Forecast = 2.4660  Date_of_death = Dec2016 
 Forecast = 2.4931  Date_of_death = Dec2016 
 Forecast = 2.4931  Date_of_death = Nov2016 
 Forecast = 2.1376  Date_of_death = Nov2016 
 Forecast = 2.1376  Date_of_death = Oct2016 
 Forecast = 2.7849  Date_of_death = Oct2016 
 Forecast = 2.7849  Date_of_death = Sep2016 
 Forecast = 2.3463  Date_of_death = Sep2016 
 Forecast = 2.3463  Date_of_death = Aug2016 
 Forecast = 3.3925  Date_of_death = Aug2016 
 Forecast = 3.3925  Date_of_death = Jul2016 
 Forecast = 2.2276  Date_of_death = Jul2016 
 Forecast = 2.2276  Date_of_death = Jun2016 
 Forecast = 2.4879  Date_of_death = Jun2016 
 Forecast = 2.4879  Date_of_death = May2016 
 Forecast = 3.1198  Date_of_death = May2016 
 Forecast = 3.1198  Date_of_death = Apr2016 
 Forecast = 1.3792  Date_of_death = Apr2016 
 Forecast = 1.3792  Date_of_death = Mar2016 
 Forecast = 2.6537  Date_of_death = Mar2016 
 Forecast = 2.6537  Date_of_death = Feb2016 
 Forecast = 1.6356  Date_of_death = Feb2016 
 Forecast = 1.6356  Date_of_death = Jan2016 
 Forecast = 2.1146  Date_of_death = Jan2016 
 Forecast = 2.1146  Date_of_death = Dec2015 
 Forecast = 2.2470  Date_of_death = Dec2015 
 Forecast = 2.2470  Date_of_death = Nov2015 
 Forecast = 1.9943  Date_of_death = Nov2015 
 Forecast = 1.9943  Date_of_death = Oct2015 
 Forecast = 2.8516  Date_of_death = Oct2015 
 Forecast = 2.8516  Date_of_death = Sep2015 
 Forecast = 2.4891  Date_of_death = Sep2015 
 Forecast = 2.4891  Date_of_death = Aug2015 
 Forecast = 3.6918  Date_of_death = Aug2015 
 Forecast = 3.6918  Date_of_death = Jul2015 
 Forecast = 2.4975  Date_of_death = Jul2015 
 Forecast = 2.4975  Date_of_death = Jun2015 
 Forecast = 2.9635  Date_of_death = Jun2015 
 Forecast = 2.9635  Date_of_death = May2015 
 Forecast = 3.7753  Date_of_death = May2015 
 Forecast = 3.7753  Date_of_death = Apr2015 
 Forecast = 2.0264  Date_of_death = Apr2015 
 Forecast = 2.0264  Date_of_death = Mar2015 
 Forecast = 2.9831  Date_of_death = Mar2015 
 Forecast = 2.9831  Date_of_death = Feb2015 
 Forecast = 2.5195  Date_of_death = Feb2015 
 Forecast = 2.5195  Date_of_death = Jan2015 
 Forecast = 2.4381  Date_of_death = Jan2015 
 Forecast = 2.4381  Date_of_death = Dec2014 
 Forecast = 3.0987  Date_of_death = Dec2014 
 Forecast = 3.0987  Date_of_death = Nov2014 
 Forecast = 2.7772  Date_of_death = Nov2014 
 Forecast = 2.7772  Date_of_death = Oct2014 
 Forecast = 3.1232  Date_of_death = Oct2014 
 Forecast = 3.1232  Date_of_death = Sep2014 
 Forecast = 3.0476  Date_of_death = Sep2014 
 Forecast = 3.0476  Date_of_death = Aug2014 
 Forecast = 3.8401  Date_of_death = Aug2014 
 Forecast = 3.8401  Date_of_death = Jul2014 
 Forecast = 2.3311  Date_of_death = Jul2014 
 Forecast = 2.3311  Date_of_death = Jun2014 
 Forecast = 2.7964  Date_of_death = Jun2014 
 Forecast = 2.7964  Date_of_death = May2014 
 Forecast = 3.3657  Date_of_death = May2014 
 Forecast = 3.3657  Date_of_death = Apr2014 
 Forecast = 1.7297  Date_of_death = Apr2014 
 Forecast = 1.7297  Date_of_death = Mar2014 
 Forecast = 2.3720  Date_of_death = Mar2014 
 Forecast = 2.3720  Date_of_death = Feb2014 
 Forecast = 2.3600  Date_of_death = Feb2014 
 Forecast = 2.3600  Date_of_death = Jan2014 
 Forecast = 2.3412  Date_of_death = Jan2014 
 Forecast = 2.3412  Date_of_death = Dec2013 
 Forecast = 2.9075  Date_of_death = Dec2013 
 Forecast = 2.9075  Date_of_death = Nov2013 
 Forecast = 2.7097  Date_of_death = Nov2013 
 Forecast = 2.7097  Date_of_death = Oct2013 
 Forecast = 3.2482  Date_of_death = Oct2013 
 Forecast = 3.2482  Date_of_death = Sep2013 
 Forecast = 3.0802  Date_of_death = Sep2013 
 Forecast = 3.0802  Date_of_death = Aug2013 
 Forecast = 3.6687  Date_of_death = Aug2013 
 Forecast = 3.6687  Date_of_death = Jul2013 
 Forecast = 2.6682  Date_of_death = Jul2013 
 Forecast = 2.6682  Date_of_death = Jun2013 
 Forecast = 2.9980  Date_of_death = Jun2013 
 Forecast = 2.9980  Date_of_death = May2013 
 Forecast = 3.4253  Date_of_death = May2013 
 Forecast = 3.4253  Date_of_death = Apr2013 
 Forecast = 2.0121  Date_of_death = Apr2013 
 Forecast = 2.0121  Date_of_death = Mar2013 
 Forecast = 2.6581  Date_of_death = Mar2013 
 Forecast = 2.6581  Date_of_death = Feb2013 
 Forecast = 2.8893  Date_of_death = Feb2013 
 Forecast = 2.8893  Date_of_death = Jan2013 
 Forecast = 2.8667  Date_of_death = Jan2013 
 Forecast = 2.8667  Date_of_death = Dec2012 
 Forecast = 3.3996  Date_of_death = Dec2012 
 Forecast = 3.3996  Date_of_death = Nov2012 
 Forecast = 2.6350  Date_of_death = Nov2012 
 Forecast = 2.6350  Date_of_death = Oct2012 
 Forecast = 3.0913  Date_of_death = Oct2012 
 Forecast = 3.0913  Date_of_death = Sep2012 
 Forecast = 3.4498  Date_of_death = Sep2012 
 Forecast = 3.4498  Date_of_death = Aug2012 
 Forecast = 4.0623  Date_of_death = Aug2012 
 Forecast = 4.0623  Date_of_death = Jul2012 
 Forecast = 3.1063  Date_of_death = Jul2012 
 Forecast = 3.1063  Date_of_death = Jun2012 
 Forecast = 3.2860  Date_of_death = Jun2012 
 Forecast = 3.2860  Date_of_death = May2012 
 Forecast = 3.8932  Date_of_death = May2012 
 Forecast = 3.8932  Date_of_death = Apr2012 
 Forecast = 2.6261  Date_of_death = Apr2012 
 Forecast = 2.6261  Date_of_death = Mar2012 
 Forecast = 3.4445  Date_of_death = Mar2012 
 Forecast = 3.4445  Date_of_death = Feb2012 
 Forecast = 3.5578  Date_of_death = Feb2012 
 Forecast = 3.5578  Date_of_death = Jan2012 
 Forecast = 3.7035  Date_of_death = Jan2012 
 Forecast = 3.7035  Date_of_death = Dec2011 
 Forecast = 4.2675  Date_of_death = Dec2011 
 Forecast = 4.2675  Date_of_death = Nov2011 
 Forecast = 3.0927  Date_of_death = Nov2011 
 Forecast = 3.0927  Date_of_death = Oct2011 
 Forecast = 3.6358  Date_of_death = Oct2011 
 Forecast = 3.6358  Date_of_death = Sep2011 
 Forecast = 3.8573  Date_of_death = Sep2011 
 Forecast = 3.8573  Date_of_death = Aug2011 
 Forecast = 4.4053  Date_of_death = Aug2011 
 Forecast = 4.4053  Date_of_death = Jul2011 
 Forecast = 3.8594  Date_of_death = Jul2011 
 Forecast = 3.8594  Date_of_death = Jun2011 
 Forecast = 3.4457  Date_of_death = Jun2011 
 Forecast = 3.4457  Date_of_death = May2011 
 Forecast = 4.0789  Date_of_death = May2011 
 Forecast = 4.0789  Date_of_death = Apr2011 
 Forecast = 2.4340  Date_of_death = Apr2011 
 Forecast = 2.4340  Date_of_death = Mar2011 
 Forecast = 3.1620  Date_of_death = Mar2011 
 Forecast = 3.1620  Date_of_death = Feb2011 
 Forecast = 3.7911  Date_of_death = Feb2011 
 Forecast = 3.7911  Date_of_death = Jan2011 
 Forecast = 3.1946  Date_of_death = Jan2011 
 Forecast = 3.1946  Date_of_death = Dec2010 
 Forecast = 4.1163  Date_of_death = Dec2010 
 Forecast = 4.1163  Date_of_death = Nov2010 
 Forecast = 3.0265  Date_of_death = Nov2010 
 Forecast = 3.0265  Date_of_death = Oct2010 
 Forecast = 3.9736  Date_of_death = Oct2010 
 Forecast = 3.9736  Date_of_death = Sep2010 
 Forecast = 3.6858  Date_of_death = Sep2010 
 Forecast = 3.6858  Date_of_death = Aug2010 
 Forecast = 4.3056  Date_of_death = Aug2010 
 Forecast = 4.3056  Date_of_death = Jul2010 
 Forecast = 3.5213  Date_of_death = Jul2010 
 Forecast = 3.5213  Date_of_death = Jun2010 
 Forecast = 3.5917  Date_of_death = Jun2010 
 Forecast = 3.5917  Date_of_death = May2010 
 Forecast = 3.9092  Date_of_death = May2010 
 Forecast = 3.9092  Date_of_death = Apr2010 
 Forecast = 2.0720  Date_of_death = Apr2010 
 Forecast = 2.0720  Date_of_death = Mar2010 
 Forecast = 3.0302  Date_of_death = Mar2010 
 Forecast = 3.0302  Date_of_death = Feb2010 
 Forecast = 4.1577  Date_of_death = Feb2010 
 Forecast = 4.1577  Date_of_death = Jan2010 
 Forecast = 2.8890  Date_of_death = Jan2010 
 Forecast = 2.8890  Date_of_death = Dec2009 
 Forecast = 4.6324  Date_of_death = Dec2009 
 Forecast = 4.6324  Date_of_death = Nov2009 
 Forecast = 3.3679  Date_of_death = Nov2009 
 Forecast = 3.3679  Date_of_death = Oct2009 
 Forecast = 3.7541  Date_of_death = Oct2009 
 Forecast = 3.7541  Date_of_death = Sep2009 
 Forecast = 3.4555  Date_of_death = Sep2009 
 Forecast = 3.4555  Date_of_death = Aug2009 
 Forecast = 4.1696  Date_of_death = Aug2009 
 Forecast = 4.1696  Date_of_death = Jul2009 
 Forecast = 3.2279  Date_of_death = Jul2009 
 Forecast = 3.2279  Date_of_death = Jun2009 
 Forecast = 3.1810  Date_of_death = Jun2009 
 Forecast = 3.1810  Date_of_death = May2009 
 Forecast = 3.5521  Date_of_death = May2009 
 Forecast = 3.5521  Date_of_death = Apr2009 
 Forecast = 2.1870  Date_of_death = Apr2009 
 Forecast = 2.1870  Date_of_death = Mar2009 
 Forecast = 3.1664  Date_of_death = Mar2009 
 Forecast = 3.1664  Date_of_death = Feb2009 
 Forecast = 3.8839  Date_of_death = Feb2009 
 Forecast = 3.8839  Date_of_death = Jan2009 
 Forecast = 2.3852  Date_of_death = Jan2009 
 Forecast = 2.3852  Date_of_death = Dec2008 
 Forecast = 4.1651  Date_of_death = Dec2008 
 Forecast = 4.1651  Date_of_death = Nov2008 
 Forecast = 2.4955  Date_of_death = Nov2008 
 Forecast = 2.4955  Date_of_death = Oct2008 
 Forecast = 2.9208  Date_of_death = Oct2008 
 Forecast = 2.9208  Date_of_death = Sep2008 
 Forecast = 2.9308  Date_of_death = Sep2008 
 Forecast = 2.9308  Date_of_death = Aug2008 
 Forecast = 3.4112  Date_of_death = Aug2008 
 Forecast = 3.4112  Date_of_death = Jul2008 
 Forecast = 3.1176  Date_of_death = Jul2008 
 Forecast = 3.1176  Date_of_death = Jun2008 
 Forecast = 3.2159  Date_of_death = Jun2008 
 Forecast = 3.2159  Date_of_death = May2008 
 Forecast = 3.8121  Date_of_death = May2008 
 Forecast = 3.8121  Date_of_death = Apr2008 
 Forecast = 2.2346  Date_of_death = Apr2008 
 Forecast = 2.2346  Date_of_death = Mar2008 
 Forecast = 2.6400  Date_of_death = Mar2008 
 Forecast = 2.6400  Date_of_death = Feb2008 
 Forecast = 3.5030  Date_of_death = Feb2008 
 Forecast = 3.5030  Date_of_death = Jan2008 
 Forecast = 2.5527  Date_of_death = Jan2008 
 Forecast = 2.5527  Date_of_death = Dec2007 
 Forecast = 3.9767  Date_of_death = Dec2007 
 Forecast = 3.9767  Date_of_death = Nov2007 
 Forecast = 2.9196  Date_of_death = Nov2007 
 Forecast = 2.9196  Date_of_death = Oct2007 
 Forecast = 3.5930  Date_of_death = Oct2007 
 Forecast = 3.5930  Date_of_death = Sep2007 
 Forecast = 3.7448  Date_of_death = Sep2007 
 Forecast = 3.7448  Date_of_death = Aug2007 
 Forecast = 4.2905  Date_of_death = Aug2007 
 Forecast = 4.2905  Date_of_death = Jul2007 
 Forecast = 3.2848  Date_of_death = Jul2007 
 Forecast = 3.2848  Date_of_death = Jun2007 
 Forecast = 3.2393  Date_of_death = Jun2007 
 Forecast = 3.2393  Date_of_death = May2007 
 Forecast = 4.1863  Date_of_death = May2007 
 Forecast = 4.1863  Date_of_death = Apr2007 
 Forecast = 2.7052  Date_of_death = Apr2007 
 Forecast = 2.7052  Date_of_death = Mar2007 
 Forecast = 3.3985  Date_of_death = Mar2007 
 Forecast = 3.3985  Date_of_death = Feb2007 
 Forecast = 3.7403  Date_of_death = Feb2007 
 Forecast = 3.7403  Date_of_death = Jan2007 
 Forecast = 3.3771  Date_of_death = Jan2007 
 Forecast = 3.3771  Date_of_death = Dec2006 
 Forecast = 4.3258  Date_of_death = Dec2006 
 Forecast = 4.3258  Date_of_death = Nov2006 
 Forecast = 3.8601  Date_of_death = Nov2006 
 Forecast = 3.8601  Date_of_death = Oct2006 
 Forecast = 3.7112  Date_of_death = Oct2006 
 Forecast = 3.7112  Date_of_death = Sep2006 
 Forecast = 3.7376  Date_of_death = Sep2006 
 Forecast = 3.7376  Date_of_death = Aug2006 
 Forecast = 4.2778  Date_of_death = Aug2006 
 Forecast = 4.2778  Date_of_death = Jul2006 
 Forecast = 3.0912  Date_of_death = Jul2006 
 Forecast = 3.0912  Date_of_death = Jun2006 
 Forecast = 3.0253  Date_of_death = Jun2006 
 Forecast = 3.0253  Date_of_death = May2006 
 Forecast = 4.0403  Date_of_death = May2006 
 Forecast = 4.0403  Date_of_death = Apr2006 
 Forecast = 2.0541  Date_of_death = Apr2006 
 Forecast = 2.0541  Date_of_death = Mar2006 
 Forecast = 2.6961  Date_of_death = Mar2006 
 Forecast = 2.6961  Date_of_death = Feb2006 
 Forecast = 3.9893  Date_of_death = Feb2006 
 Forecast = 3.9893  Date_of_death = Jan2006 
 Forecast = 2.5732  Date_of_death = Jan2006 
 Forecast = 2.5732  Date_of_death = Dec2005 
 Forecast = 4.7334  Date_of_death = Dec2005 
 Forecast = 4.7334  Date_of_death = Nov2005 
 Forecast = 3.0713  Date_of_death = Nov2005 
 Forecast = 3.0713  Date_of_death = Oct2005 
 Forecast = 2.8985  Date_of_death = Oct2005 
 Forecast = 2.8985  Date_of_death = Sep2005 
 Forecast = 2.8969  Date_of_death = Sep2005 
 Forecast = 2.8969  Date_of_death = Aug2005 
 Forecast = 4.5994  Date_of_death = Aug2005 
 Forecast = 4.5994  Date_of_death = Jul2005 
 Forecast = 2.2357  Date_of_death = Jul2005 
 Forecast = 2.2357  Date_of_death = Jun2005 
 Forecast = 2.1664  Date_of_death = Jun2005 
 Forecast = 2.1664  Date_of_death = May2005 
 Forecast = 4.4649  Date_of_death = May2005 
 Forecast = 4.4649  Date_of_death = Apr2005 
 Forecast = 1.1290  Date_of_death = Apr2005 
 Forecast = 1.1290  Date_of_death = Mar2005 
 Forecast = 2.7012  Date_of_death = Mar2005 
 Forecast = 2.7012  Date_of_death = Feb2005 
 Forecast = 4.4936  Date_of_death = Feb2005 
 Forecast = 4.4936  Date_of_death = Jan2005 
 Forecast = 2.9076  Date_of_death = Jan2005 
 Forecast = 2.9076  Date_of_death = Dec2004 
 Forecast = 4.5030  Date_of_death = Dec2004 
 Forecast = 4.5030  Date_of_death = Nov2004 
 Forecast = 2.4172  Date_of_death = Nov2004 
 Forecast = 2.4172  Date_of_death = Oct2004 
 Forecast = 3.4586  Date_of_death = Oct2004 
 Forecast = 3.4586  Date_of_death = Sep2004 
 Forecast = 3.5883  Date_of_death = Sep2004 
 Forecast = 3.5883  Date_of_death = Aug2004 
 Forecast = 4.5419  Date_of_death = Aug2004 
 Forecast = 4.5419  Date_of_death = Jul2004 
 Forecast = 2.5247  Date_of_death = Jul2004 
 Forecast = 2.5247  Date_of_death = Jun2004 
 Forecast = 2.8651  Date_of_death = Jun2004 
 Forecast = 2.8651  Date_of_death = May2004 
 Forecast = 4.5830  Date_of_death = May2004 
 Forecast = 4.5830  Date_of_death = Apr2004 
 Forecast = 1.6267  Date_of_death = Apr2004 
 Forecast = 1.6267  Date_of_death = Mar2004 
 Forecast = 3.6618  Date_of_death = Mar2004 
 Forecast = 3.6618  Date_of_death = Feb2004 
 Forecast = 4.6924  Date_of_death = Feb2004 
 Forecast = 4.6924  Date_of_death = Jan2004 
 Forecast = 3.7942  Date_of_death = Jan2004 
 Forecast = 3.7942  Date_of_death = Dec2003 
 Forecast = 4.7251  Date_of_death = Dec2003 
 Forecast = 4.7251  Date_of_death = Nov2003 
 Forecast = 3.4997  Date_of_death = Nov2003 
 Forecast = 3.4997  Date_of_death = Oct2003 
 Forecast = 4.9119  Date_of_death = Oct2003 
 Forecast = 4.9119  Date_of_death = Sep2003 
 Forecast = 3.5668  Date_of_death = Sep2003 
 Forecast = 3.5668  Date_of_death = Aug2003 
 Forecast = 4.8988  Date_of_death = Aug2003 
 Forecast = 4.8988  Date_of_death = Jul2003 
 Forecast = 3.6255  Date_of_death = Jul2003 
 Forecast = 3.6255  Date_of_death = Jun2003 
 Forecast = 3.7241  Date_of_death = Jun2003 
 Forecast = 3.7241  Date_of_death = May2003 
 Forecast = 5.0356  Date_of_death = May2003 
 Forecast = 5.0356  Date_of_death = Apr2003 
 Forecast = 2.4669  Date_of_death = Apr2003 
 Forecast = 2.4669  Date_of_death = Mar2003 
 Forecast = 5.2446  Date_of_death = Mar2003 
 Forecast = 5.2446  Date_of_death = Feb2003 
 Forecast = 5.2631  Date_of_death = Feb2003 
 Forecast = 5.2631  Date_of_death = Jan2003 
 Forecast = 3.9303  Date_of_death = Jan2003 
 Forecast = 3.9303  Date_of_death = Dec2002 
 Forecast = 5.1660  Date_of_death = Dec2002 
 Forecast = 5.1660  Date_of_death = Nov2002 
 Forecast = 3.1553  Date_of_death = Nov2002 
 Forecast = 3.1553  Date_of_death = Oct2002 
 Forecast = 5.1551  Date_of_death = Oct2002 
 Forecast = 5.1551  Date_of_death = Sep2002 
 Forecast = 3.1434  Date_of_death = Sep2002 
 Forecast = 3.1434  Date_of_death = Aug2002 
 Forecast = 5.1632  Date_of_death = Aug2002 
 Forecast = 5.1632  Date_of_death = Jul2002 
 Forecast = 5.2732  Date_of_death = Jul2002 
 Forecast = 5.2732  Date_of_death = Jun2002 
 Forecast = 3.2637  Date_of_death = Jun2002 
 Forecast = 3.2637  Date_of_death = May2002 
 Forecast = 5.2654  Date_of_death = May2002 
 Forecast = 5.2654  Date_of_death = Apr2002 
 Forecast = 1.1960  Date_of_death = Apr2002 
 Forecast = 1.1960  Date_of_death = Mar2002 
 Forecast = 5.2149  Date_of_death = Mar2002 
 Forecast = 5.2149  Date_of_death = Feb2002 
 Forecast = 5.2247  Date_of_death = Feb2002 
 Forecast = 5.2247  Date_of_death = Jan2002 
 Forecast = 3.2044  Date_of_death = Jan2002 
 Forecast = 3.2044  Date_of_death = Dec2001 
 Forecast = 5.1455  Date_of_death = Dec2001 
 Forecast = 5.1455  Date_of_death = Nov2001 
 Forecast = 1.1065  Date_of_death = Nov2001 
 Forecast = 1.1065  Date_of_death = Oct2001 
 Forecast = 5.1181  Date_of_death = Oct2001 
 Forecast = 5.1181  Date_of_death = Sep2001 
 Forecast = 1.0732  Date_of_death = Sep2001 
 Forecast = 1.0732  Date_of_death = Aug2001 
 Forecast = 5.0861  Date_of_death = Aug2001 
 Forecast = 5.0861  Date_of_death = Jul2001 
 Forecast = 5.0919  Date_of_death = Jul2001 
 Forecast = 5.0919  Date_of_death = Jun2001 
 Forecast = 1.0405  Date_of_death = Jun2001 
 Forecast = 1.0405  Date_of_death = May2001 
 Forecast = 5.0472  Date_of_death = May2001 
 Forecast = 5.0472  Date_of_death = Apr2001 
 Forecast = 1.0542  Date_of_death = Apr2001 
 Forecast = 1.0542  Date_of_death = Mar2001 
 Forecast = 5.0613  Date_of_death = Mar2001 
 Forecast = 5.0613  Date_of_death = Feb2001 
 Forecast = 5.0613  Date_of_death = Feb2001 
 Forecast = 5.0613  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 4.0000  Date_of_death = Jul2019 
 incidents = 2.0000  Date_of_death = Jun2019 
 incidents = 3.0000  Date_of_death = May2019 
 incidents = 1.0000  Date_of_death = Apr2019 
 incidents = 5.0000  Date_of_death = Mar2019 
 incidents = 5.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 2.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 5.0000  Date_of_death = Oct2018 
 incidents = 5.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 1.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 1.0000  Date_of_death = Apr2018 
 incidents = 1.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 1.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 5.0000  Date_of_death = Oct2017 
 incidents = 1.0000  Date_of_death = Sep2017 
 incidents = 5.0000  Date_of_death = Aug2017 
 incidents = 5.0000  Date_of_death = Jul2017 
 incidents = 5.0000  Date_of_death = Jun2017 
 incidents = 1.0000  Date_of_death = May2017 
 incidents = 2.0000  Date_of_death = Apr2017 
 incidents = 1.0000  Date_of_death = Mar2017 
 incidents = 5.0000  Date_of_death = Feb2017 
 incidents = 2.0000  Date_of_death = Jan2017 
 incidents = 1.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 5.0000  Date_of_death = Oct2016 
 incidents = 3.0000  Date_of_death = Sep2016 
 incidents = 5.0000  Date_of_death = Aug2016 
 incidents = 1.0000  Date_of_death = Jul2016 
 incidents = 2.0000  Date_of_death = Jun2016 
 incidents = 5.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 5.0000  Date_of_death = Mar2016 
 incidents = 2.0000  Date_of_death = Feb2016 
 incidents = 5.0000  Date_of_death = Jan2016 
 incidents = 2.0000  Date_of_death = Dec2015 
 incidents = 1.0000  Date_of_death = Nov2015 
 incidents = 1.0000  Date_of_death = Oct2015 
 incidents = 1.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 1.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 5.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 5.0000  Date_of_death = Dec2014 
 incidents = 1.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 5.0000  Date_of_death = Sep2014 
 incidents = 2.0000  Date_of_death = Aug2014 
 incidents = 5.0000  Date_of_death = Jul2014 
 incidents = 5.0000  Date_of_death = Jun2014 
 incidents = 4.0000  Date_of_death = May2014 
 incidents = 5.0000  Date_of_death = Apr2014 
 incidents = 2.0000  Date_of_death = Mar2014 
 incidents = 5.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 2.0000  Date_of_death = Nov2013 
 incidents = 1.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 2.0000  Date_of_death = Aug2013 
 incidents = 5.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 3.0000  Date_of_death = May2013 
 incidents = 5.0000  Date_of_death = Apr2013 
 incidents = 2.0000  Date_of_death = Mar2013 
 incidents = 3.0000  Date_of_death = Feb2013 
 incidents = 1.0000  Date_of_death = Jan2013 
 incidents = 1.0000  Date_of_death = Dec2012 
 incidents = 2.0000  Date_of_death = Nov2012 
 incidents = 5.0000  Date_of_death = Oct2012 
 incidents = 5.0000  Date_of_death = Sep2012 
 incidents = 1.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 1.0000  Date_of_death = Jun2012 
 incidents = 3.0000  Date_of_death = May2012 
 incidents = 3.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 2.0000  Date_of_death = Jan2012 
 incidents = 1.0000  Date_of_death = Dec2011 
 incidents = 2.0000  Date_of_death = Nov2011 
 incidents = 5.0000  Date_of_death = Oct2011 
 incidents = 5.0000  Date_of_death = Sep2011 
 incidents = 5.0000  Date_of_death = Aug2011 
 incidents = 5.0000  Date_of_death = Jul2011 
 incidents = 1.0000  Date_of_death = Jun2011 
 incidents = 5.0000  Date_of_death = May2011 
 incidents = 5.0000  Date_of_death = Apr2011 
 incidents = 5.0000  Date_of_death = Mar2011 
 incidents = 5.0000  Date_of_death = Feb2011 
 incidents = 1.0000  Date_of_death = Jan2011 
 incidents = 5.0000  Date_of_death = Dec2010 
 incidents = 3.0000  Date_of_death = Nov2010 
 incidents = 2.0000  Date_of_death = Oct2010 
 incidents = 1.0000  Date_of_death = Sep2010 
 incidents = 5.0000  Date_of_death = Aug2010 
 incidents = 5.0000  Date_of_death = Jul2010 
 incidents = 5.0000  Date_of_death = Jun2010 
 incidents = 2.0000  Date_of_death = May2010 
 incidents = 5.0000  Date_of_death = Apr2010 
 incidents = 5.0000  Date_of_death = Mar2010 
 incidents = 4.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 5.0000  Date_of_death = Dec2009 
 incidents = 1.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 5.0000  Date_of_death = Sep2009 
 incidents = 5.0000  Date_of_death = Aug2009 
 incidents = 5.0000  Date_of_death = Jul2009 
 incidents = 5.0000  Date_of_death = Jun2009 
 incidents = 5.0000  Date_of_death = May2009 
 incidents = 5.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 5.0000  Date_of_death = Jan2009 
 incidents = 5.0000  Date_of_death = Dec2008 
 incidents = 5.0000  Date_of_death = Nov2008 
 incidents = 5.0000  Date_of_death = Oct2008 
 incidents = 5.0000  Date_of_death = Sep2008 
 incidents = 3.0000  Date_of_death = Aug2008 
 incidents = 5.0000  Date_of_death = Jul2008 
 incidents = 1.0000  Date_of_death = Jun2008 
 incidents = 1.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 1.0000  Date_of_death = Mar2008 
 incidents = 5.0000  Date_of_death = Feb2008 
 incidents = 5.0000  Date_of_death = Jan2008 
 incidents = 1.0000  Date_of_death = Dec2007 
 incidents = 5.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 1.0000  Date_of_death = Aug2007 
 incidents = 2.0000  Date_of_death = Jul2007 
 incidents = 5.0000  Date_of_death = Jun2007 
 incidents = 5.0000  Date_of_death = May2007 
 incidents = 3.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 1.0000  Date_of_death = Feb2007 
 incidents = 5.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 5.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 5.0000  Date_of_death = Sep2006 
 incidents = 5.0000  Date_of_death = Aug2006 
 incidents = 5.0000  Date_of_death = Jul2006 
 incidents = 5.0000  Date_of_death = Jun2006 
 incidents = 5.0000  Date_of_death = May2006 
 incidents = 5.0000  Date_of_death = Apr2006 
 incidents = 5.0000  Date_of_death = Mar2006 
 incidents = 5.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 5.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 5.0000  Date_of_death = Oct2005 
 incidents = 5.0000  Date_of_death = Sep2005 
 incidents = 5.0000  Date_of_death = Aug2005 
 incidents = 1.0000  Date_of_death = Jul2005 
 incidents = 5.0000  Date_of_death = Jun2005 
 incidents = 5.0000  Date_of_death = May2005 
 incidents = 1.0000  Date_of_death = Apr2005 
 incidents = 5.0000  Date_of_death = Mar2005 
 incidents = 2.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 5.0000  Date_of_death = Nov2004 
 incidents = 5.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 5.0000  Date_of_death = Jul2004 
 incidents = 2.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 5.0000  Date_of_death = Apr2004 
 incidents = 1.0000  Date_of_death = Mar2004 
 incidents = 1.0000  Date_of_death = Feb2004 
 incidents = 5.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 5.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 1.0000  Date_of_death = Sep2003 
 incidents = 5.0000  Date_of_death = Aug2003 
 incidents = 5.0000  Date_of_death = Jul2003 
 incidents = 1.0000  Date_of_death = Jun2003 
 incidents = 2.0000  Date_of_death = May2003 
 incidents = 5.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 1.0000  Date_of_death = Feb2003 
 incidents = 5.0000  Date_of_death = Jan2003 
 incidents = 5.0000  Date_of_death = Dec2002 
 incidents = 5.0000  Date_of_death = Nov2002 
 incidents = 5.0000  Date_of_death = Oct2002 
 incidents = 5.0000  Date_of_death = Sep2002 
 incidents = 5.0000  Date_of_death = Aug2002 
 incidents = 5.0000  Date_of_death = Jul2002 
 incidents = 1.0000  Date_of_death = Jun2002 
 incidents = 5.0000  Date_of_death = May2002 
 incidents = 5.0000  Date_of_death = Apr2002 
 incidents = 5.0000  Date_of_death = Mar2002 
 incidents = 5.0000  Date_of_death = Feb2002 
 incidents = 5.0000  Date_of_death = Jan2002 
 incidents = 5.0000  Date_of_death = Dec2001 
 incidents = 5.0000  Date_of_death = Nov2001 
 incidents = 5.0000  Date_of_death = Oct2001 
 incidents = 5.0000  Date_of_death = Sep2001 
 incidents = 5.0000  Date_of_death = Aug2001 
 incidents = 5.0000  Date_of_death = Jul2001 
 incidents = 5.0000  Date_of_death = Jun2001 
 incidents = 5.0000  Date_of_death = May2001 
 incidents = 5.0000  Date_of_death = Apr2001 
 incidents = 1.0000  Date_of_death = Mar2001 
 incidents = 5.0000  Date_of_death = Feb2001 
 incidents = 5.0000  Date_of_death = Jan2001 
 incidents = 5.0000  Date_of_death = Sep2020 
 Upper 95% = 6.2400 
 Lower 95% = -1.2635  Date_of_death = Aug2020 
 Upper 95% = 6.8682 
 Lower 95% = -0.6318  Date_of_death = Aug2020 
 Upper 95% = 6.8682 
 Lower 95% = -0.6318  Date_of_death = Jul2020 
 Upper 95% = 6.1133 
 Lower 95% = -1.3788  Date_of_death = Jul2020 
 Upper 95% = 6.1133 
 Lower 95% = -1.3788  Date_of_death = Jun2020 
 Upper 95% = 6.2765 
 Lower 95% = -1.2071  Date_of_death = Jun2020 
 Upper 95% = 6.2765 
 Lower 95% = -1.2071  Date_of_death = May2020 
 Upper 95% = 6.1952 
 Lower 95% = -1.2799  Date_of_death = May2020 
 Upper 95% = 6.1952 
 Lower 95% = -1.2799  Date_of_death = Apr2020 
 Upper 95% = 5.7331 
 Lower 95% = -1.7335  Date_of_death = Apr2020 
 Upper 95% = 5.7331 
 Lower 95% = -1.7335  Date_of_death = Mar2020 
 Upper 95% = 6.6015 
 Lower 95% = -0.8564  Date_of_death = Mar2020 
 Upper 95% = 6.6015 
 Lower 95% = -0.8564  Date_of_death = Feb2020 
 Upper 95% = 5.6795 
 Lower 95% = -1.7697  Date_of_death = Feb2020 
 Upper 95% = 5.6795 
 Lower 95% = -1.7697  Date_of_death = Jan2020 
 Upper 95% = 5.8481 
 Lower 95% = -1.5922  Date_of_death = Jan2020 
 Upper 95% = 5.8481 
 Lower 95% = -1.5922  Date_of_death = Dec2019 
 Upper 95% = 5.6168 
 Lower 95% = -1.8178  Date_of_death = Dec2019 
 Upper 95% = 5.6168 
 Lower 95% = -1.8178  Date_of_death = Nov2019 
 Upper 95% = 6.4982 
 Lower 95% = -0.9278  Date_of_death = Nov2019 
 Upper 95% = 6.4982 
 Lower 95% = -0.9278  Date_of_death = Oct2019 
 Upper 95% = 6.3998 
 Lower 95% = -1.0222
Forecast Plot

County=Franklin

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.29536 1.87459

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 5.00000 3.29536 1.87459

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.79941
Level Error Variance 1.04978
Season Error Variance 3.42187

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -481.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 968.43
BIC (smaller is better) 978.67
AICC (smaller is better) 968.53
HQIC (smaller is better) 972.56
CAIC (smaller is better) 981.67
Likelihood Optimization Algorithm Converged in 14 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.45183 0.34436 10.02 <.0001
Level Error Variance 1.979545E-9 1.33779E-6 0.00 0.9988
Season Error Variance 0.01079 0.01949 0.55 0.5799

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.12791
Root Mean Squared Error 2.03173
Mean Absolute Percentage Error 98.77465
Maximum Percent Error 80.14496
R-Square -0.18491
Adjusted R-Square -0.19559
Random Walk R-Square 0.39096
Amemiya's Adjusted R-Square -0.21693

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 12.25 0.0005
Level 1 743.34 <.0001
Season 11 6.11 0.8661

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.291449974 0.1207239

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01079

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 6.5782 
 Percent = 0.0362  Prediction Error = 6.5155 
 Percent = 0.0426  Prediction Error = 6.5155 
 Percent = 0.0426  Prediction Error = 6.4528 
 Percent = 0.05  Prediction Error = 6.4528 
 Percent = 0.05  Prediction Error = 6.39 
 Percent = 0.0585  Prediction Error = 6.39 
 Percent = 0.0585  Prediction Error = 6.3273 
 Percent = 0.0682  Prediction Error = 6.3273 
 Percent = 0.0682  Prediction Error = 6.2646 
 Percent = 0.0793  Prediction Error = 6.2646 
 Percent = 0.0793  Prediction Error = 6.2019 
 Percent = 0.0919  Prediction Error = 6.2019 
 Percent = 0.0919  Prediction Error = 6.1392 
 Percent = 0.1062  Prediction Error = 6.1392 
 Percent = 0.1062  Prediction Error = 6.0765 
 Percent = 0.1223  Prediction Error = 6.0765 
 Percent = 0.1223  Prediction Error = 6.0138 
 Percent = 0.1404  Prediction Error = 6.0138 
 Percent = 0.1404  Prediction Error = 5.9511 
 Percent = 0.1608  Prediction Error = 5.9511 
 Percent = 0.1608  Prediction Error = 5.8884 
 Percent = 0.1835  Prediction Error = 5.8884 
 Percent = 0.1835  Prediction Error = 5.8257 
 Percent = 0.2088  Prediction Error = 5.8257 
 Percent = 0.2088  Prediction Error = 5.763 
 Percent = 0.2369  Prediction Error = 5.763 
 Percent = 0.2369  Prediction Error = 5.7003 
 Percent = 0.2681  Prediction Error = 5.7003 
 Percent = 0.2681  Prediction Error = 5.6376 
 Percent = 0.3025  Prediction Error = 5.6376 
 Percent = 0.3025  Prediction Error = 5.5749 
 Percent = 0.3405  Prediction Error = 5.5749 
 Percent = 0.3405  Prediction Error = 5.5122 
 Percent = 0.3823  Prediction Error = 5.5122 
 Percent = 0.3823  Prediction Error = 5.4495 
 Percent = 0.4281  Prediction Error = 5.4495 
 Percent = 0.4281  Prediction Error = 5.3868 
 Percent = 0.4782  Prediction Error = 5.3868 
 Percent = 0.4782  Prediction Error = 5.3241 
 Percent = 0.5329  Prediction Error = 5.3241 
 Percent = 0.5329  Prediction Error = 5.2614 
 Percent = 0.5926  Prediction Error = 5.2614 
 Percent = 0.5926  Prediction Error = 5.1986 
 Percent = 0.6576  Prediction Error = 5.1986 
 Percent = 0.6576  Prediction Error = 5.1359 
 Percent = 0.7281  Prediction Error = 5.1359 
 Percent = 0.7281  Prediction Error = 5.0732 
 Percent = 0.8046  Prediction Error = 5.0732 
 Percent = 0.8046  Prediction Error = 5.0105 
 Percent = 0.8875  Prediction Error = 5.0105 
 Percent = 0.8875  Prediction Error = 4.9478 
 Percent = 0.9771  Prediction Error = 4.9478 
 Percent = 0.9771  Prediction Error = 4.8851 
 Percent = 1.0739  Prediction Error = 4.8851 
 Percent = 1.0739  Prediction Error = 4.8224 
 Percent = 1.1783  Prediction Error = 4.8224 
 Percent = 1.1783  Prediction Error = 4.7597 
 Percent = 1.2908  Prediction Error = 4.7597 
 Percent = 1.2908  Prediction Error = 4.697 
 Percent = 1.412  Prediction Error = 4.697 
 Percent = 1.412  Prediction Error = 4.6343 
 Percent = 1.5424  Prediction Error = 4.6343 
 Percent = 1.5424  Prediction Error = 4.5716 
 Percent = 1.6824  Prediction Error = 4.5716 
 Percent = 1.6824  Prediction Error = 4.5089 
 Percent = 1.8328  Prediction Error = 4.5089 
 Percent = 1.8328  Prediction Error = 4.4462 
 Percent = 1.9942  Prediction Error = 4.4462 
 Percent = 1.9942  Prediction Error = 4.3835 
 Percent = 2.1671  Prediction Error = 4.3835 
 Percent = 2.1671  Prediction Error = 4.3208 
 Percent = 2.3521  Prediction Error = 4.3208 
 Percent = 2.3521  Prediction Error = 4.2581 
 Percent = 2.5501  Prediction Error = 4.2581 
 Percent = 2.5501  Prediction Error = 4.1954 
 Percent = 2.7615  Prediction Error = 4.1954 
 Percent = 2.7615  Prediction Error = 4.1327 
 Percent = 2.9869  Prediction Error = 4.1327 
 Percent = 2.9869  Prediction Error = 4.07 
 Percent = 3.2271  Prediction Error = 4.07 
 Percent = 3.2271  Prediction Error = 4.0072 
 Percent = 3.4825  Prediction Error = 4.0072 
 Percent = 3.4825  Prediction Error = 3.9445 
 Percent = 3.7537  Prediction Error = 3.9445 
 Percent = 3.7537  Prediction Error = 3.8818 
 Percent = 4.041  Prediction Error = 3.8818 
 Percent = 4.041  Prediction Error = 3.8191 
 Percent = 4.3448  Prediction Error = 3.8191 
 Percent = 4.3448  Prediction Error = 3.7564 
 Percent = 4.6653  Prediction Error = 3.7564 
 Percent = 4.6653  Prediction Error = 3.6937 
 Percent = 5.0027  Prediction Error = 3.6937 
 Percent = 5.0027  Prediction Error = 3.631 
 Percent = 5.3569  Prediction Error = 3.631 
 Percent = 5.3569  Prediction Error = 3.5683 
 Percent = 5.7276  Prediction Error = 3.5683 
 Percent = 5.7276  Prediction Error = 3.5056 
 Percent = 6.1147  Prediction Error = 3.5056 
 Percent = 6.1147  Prediction Error = 3.4429 
 Percent = 6.5173  Prediction Error = 3.4429 
 Percent = 6.5173  Prediction Error = 3.3802 
 Percent = 6.935  Prediction Error = 3.3802 
 Percent = 6.935  Prediction Error = 3.3175 
 Percent = 7.3665  Prediction Error = 3.3175 
 Percent = 7.3665  Prediction Error = 3.1921 
 Percent = 8.2666  Prediction Error = 3.1921 
 Percent = 8.2666  Prediction Error = 2.8786 
 Percent = 10.652  Prediction Error = 2.8786 
 Percent = 10.652  Prediction Error = 2.6904 
 Percent = 12.087  Prediction Error = 2.6904 
 Percent = 12.087  Prediction Error = 2.565 
 Percent = 13.002  Prediction Error = 2.565 
 Percent = 13.002  Prediction Error = 2.5023 
 Percent = 13.438  Prediction Error = 2.5023 
 Percent = 13.438  Prediction Error = 2.4396 
 Percent = 13.857  Prediction Error = 2.4396 
 Percent = 13.857  Prediction Error = 2.3769 
 Percent = 14.256  Prediction Error = 2.3769 
 Percent = 14.256  Prediction Error = 2.3142 
 Percent = 14.632  Prediction Error = 2.3142 
 Percent = 14.632  Prediction Error = 2.2515 
 Percent = 14.984  Prediction Error = 2.2515 
 Percent = 14.984  Prediction Error = 2.1888 
 Percent = 15.308  Prediction Error = 2.1888 
 Percent = 15.308  Prediction Error = 2.1261 
 Percent = 15.605  Prediction Error = 2.1261 
 Percent = 15.605  Prediction Error = 2.0634 
 Percent = 15.871  Prediction Error = 2.0634 
 Percent = 15.871  Prediction Error = 2.0007 
 Percent = 16.107  Prediction Error = 2.0007 
 Percent = 16.107  Prediction Error = 1.938 
 Percent = 16.31  Prediction Error = 1.938 
 Percent = 16.31  Prediction Error = 1.8753 
 Percent = 16.482  Prediction Error = 1.8753 
 Percent = 16.482  Prediction Error = 1.8126 
 Percent = 16.621  Prediction Error = 1.8126 
 Percent = 16.621  Prediction Error = 1.7499 
 Percent = 16.727  Prediction Error = 1.7499 
 Percent = 16.727  Prediction Error = 1.6872 
 Percent = 16.802  Prediction Error = 1.6872 
 Percent = 16.802  Prediction Error = 1.6245 
 Percent = 16.846  Prediction Error = 1.6245 
 Percent = 16.846  Prediction Error = 1.5617 
 Percent = 16.86  Prediction Error = 1.5617 
 Percent = 16.86  Prediction Error = 1.499 
 Percent = 16.846  Prediction Error = 1.499 
 Percent = 16.846  Prediction Error = 1.4363 
 Percent = 16.805  Prediction Error = 1.4363 
 Percent = 16.805  Prediction Error = 1.3736 
 Percent = 16.739  Prediction Error = 1.3736 
 Percent = 16.739  Prediction Error = 1.3109 
 Percent = 16.651  Prediction Error = 1.3109 
 Percent = 16.651  Prediction Error = 1.2482 
 Percent = 16.542  Prediction Error = 1.2482 
 Percent = 16.542  Prediction Error = 1.1855 
 Percent = 16.415  Prediction Error = 1.1855 
 Percent = 16.415  Prediction Error = 1.1228 
 Percent = 16.272  Prediction Error = 1.1228 
 Percent = 16.272  Prediction Error = 1.0601 
 Percent = 16.115  Prediction Error = 1.0601 
 Percent = 16.115  Prediction Error = 0.9974 
 Percent = 15.947  Prediction Error = 0.9974 
 Percent = 15.947  Prediction Error = 0.9347 
 Percent = 15.77  Prediction Error = 0.9347 
 Percent = 15.77  Prediction Error = 0.6212 
 Percent = 14.821  Prediction Error = 0.6212 
 Percent = 14.821  Prediction Error = 0.4958 
 Percent = 14.443  Prediction Error = 0.4958 
 Percent = 14.443  Prediction Error = 0.3703 
 Percent = 14.083  Prediction Error = 0.3703 
 Percent = 14.083  Prediction Error = 0.3076 
 Percent = 13.912  Prediction Error = 0.3076 
 Percent = 13.912  Prediction Error = 0.2449 
 Percent = 13.747  Prediction Error = 0.2449 
 Percent = 13.747  Prediction Error = 0.1822 
 Percent = 13.59  Prediction Error = 0.1822 
 Percent = 13.59  Prediction Error = 0.1195 
 Percent = 13.44  Prediction Error = 0.1195 
 Percent = 13.44  Prediction Error = 0.0568 
 Percent = 13.299  Prediction Error = 0.0568 
 Percent = 13.299  Prediction Error = -0.006 
 Percent = 13.165  Prediction Error = -0.006 
 Percent = 13.165  Prediction Error = -0.069 
 Percent = 13.041  Prediction Error = -0.069 
 Percent = 13.041  Prediction Error = -0.131 
 Percent = 12.925  Prediction Error = -0.131 
 Percent = 12.925  Prediction Error = -0.194 
 Percent = 12.817  Prediction Error = -0.194 
 Percent = 12.817  Prediction Error = -0.257 
 Percent = 12.719  Prediction Error = -0.257 
 Percent = 12.719  Prediction Error = -0.319 
 Percent = 12.629  Prediction Error = -0.319 
 Percent = 12.629  Prediction Error = -0.382 
 Percent = 12.549  Prediction Error = -0.382 
 Percent = 12.549  Prediction Error = -0.445 
 Percent = 12.477  Prediction Error = -0.445 
 Percent = 12.477  Prediction Error = -0.508 
 Percent = 12.414  Prediction Error = -0.508 
 Percent = 12.414  Prediction Error = -0.57 
 Percent = 12.36  Prediction Error = -0.57 
 Percent = 12.36  Prediction Error = -0.633 
 Percent = 12.315  Prediction Error = -0.633 
 Percent = 12.315  Prediction Error = -0.696 
 Percent = 12.279  Prediction Error = -0.696 
 Percent = 12.279  Prediction Error = -0.758 
 Percent = 12.251  Prediction Error = -0.758 
 Percent = 12.251  Prediction Error = -0.821 
 Percent = 12.232  Prediction Error = -0.821 
 Percent = 12.232  Prediction Error = -0.884 
 Percent = 12.221  Prediction Error = -0.884 
 Percent = 12.221  Prediction Error = -0.946 
 Percent = 12.217  Prediction Error = -0.946 
 Percent = 12.217  Prediction Error = -1.009 
 Percent = 12.221  Prediction Error = -1.009 
 Percent = 12.221  Prediction Error = -1.072 
 Percent = 12.231  Prediction Error = -1.072 
 Percent = 12.231  Prediction Error = -1.135 
 Percent = 12.247  Prediction Error = -1.135 
 Percent = 12.247  Prediction Error = -1.197 
 Percent = 12.268  Prediction Error = -1.197 
 Percent = 12.268  Prediction Error = -1.26 
 Percent = 12.293  Prediction Error = -1.26 
 Percent = 12.293  Prediction Error = -1.323 
 Percent = 12.32  Prediction Error = -1.323 
 Percent = 12.32  Prediction Error = -1.448 
 Percent = 12.38  Prediction Error = -1.448 
 Percent = 12.38  Prediction Error = -1.511 
 Percent = 12.409  Prediction Error = -1.511 
 Percent = 12.409  Prediction Error = -1.574 
 Percent = 12.436  Prediction Error = -1.574 
 Percent = 12.436  Prediction Error = -1.636 
 Percent = 12.459  Prediction Error = -1.636 
 Percent = 12.459  Prediction Error = -1.699 
 Percent = 12.476  Prediction Error = -1.699 
 Percent = 12.476  Prediction Error = -1.762 
 Percent = 12.486  Prediction Error = -1.762 
 Percent = 12.486  Prediction Error = -1.824 
 Percent = 12.488  Prediction Error = -1.824 
 Percent = 12.488  Prediction Error = -1.887 
 Percent = 12.48  Prediction Error = -1.887 
 Percent = 12.48  Prediction Error = -1.95 
 Percent = 12.46  Prediction Error = -1.95 
 Percent = 12.46  Prediction Error = -2.012 
 Percent = 12.427  Prediction Error = -2.012 
 Percent = 12.427  Prediction Error = -2.075 
 Percent = 12.38  Prediction Error = -2.075 
 Percent = 12.38  Prediction Error = -2.138 
 Percent = 12.317  Prediction Error = -2.138 
 Percent = 12.317  Prediction Error = -2.201 
 Percent = 12.238  Prediction Error = -2.201 
 Percent = 12.238  Prediction Error = -2.263 
 Percent = 12.142  Prediction Error = -2.263 
 Percent = 12.142  Prediction Error = -2.326 
 Percent = 12.028  Prediction Error = -2.326 
 Percent = 12.028  Prediction Error = -2.389 
 Percent = 11.896  Prediction Error = -2.389 
 Percent = 11.896  Prediction Error = -2.451 
 Percent = 11.745  Prediction Error = -2.451 
 Percent = 11.745  Prediction Error = -2.514 
 Percent = 11.576  Prediction Error = -2.514 
 Percent = 11.576  Prediction Error = -2.577 
 Percent = 11.388  Prediction Error = -2.577 
 Percent = 11.388  Prediction Error = -2.64 
 Percent = 11.183  Prediction Error = -2.64 
 Percent = 11.183  Prediction Error = -2.702 
 Percent = 10.96  Prediction Error = -2.702 
 Percent = 10.96  Prediction Error = -2.765 
 Percent = 10.721  Prediction Error = -2.765 
 Percent = 10.721  Prediction Error = -2.828 
 Percent = 10.466  Prediction Error = -2.828 
 Percent = 10.466  Prediction Error = -2.89 
 Percent = 10.197  Prediction Error = -2.89 
 Percent = 10.197  Prediction Error = -2.953 
 Percent = 9.9147  Prediction Error = -2.953 
 Percent = 9.9147  Prediction Error = -3.016 
 Percent = 9.6203  Prediction Error = -3.016 
 Percent = 9.6203  Prediction Error = -3.141 
 Percent = 9.0015  Prediction Error = -3.141 
 Percent = 9.0015  Prediction Error = -3.517 
 Percent = 7.0177  Prediction Error = -3.517 
 Percent = 7.0177  Prediction Error = -3.705 
 Percent = 6.0285  Prediction Error = -3.705 
 Percent = 6.0285  Prediction Error = -3.831 
 Percent = 5.3939  Prediction Error = -3.831 
 Percent = 5.3939  Prediction Error = -3.956 
 Percent = 4.7884  Prediction Error = -3.956 
 Percent = 4.7884  Prediction Error = -4.019 
 Percent = 4.4985  Prediction Error = -4.019 
 Percent = 4.4985  Prediction Error = -4.082 
 Percent = 4.218  Prediction Error = -4.082 
 Percent = 4.218  Prediction Error = -4.144 
 Percent = 3.9474  Prediction Error = -4.144 
 Percent = 3.9474  Prediction Error = -4.207 
 Percent = 3.687  Prediction Error = -4.207 
 Percent = 3.687  Prediction Error = -4.27 
 Percent = 3.4372  Prediction Error = -4.27 
 Percent = 3.4372  Prediction Error = -4.333 
 Percent = 3.1981  Prediction Error = -4.333 
 Percent = 3.1981  Prediction Error = -4.395 
 Percent = 2.9699  Prediction Error = -4.395 
 Percent = 2.9699  Prediction Error = -4.458 
 Percent = 2.7526  Prediction Error = -4.458 
 Percent = 2.7526  Prediction Error = -4.521 
 Percent = 2.5462  Prediction Error = -4.521 
 Percent = 2.5462  Prediction Error = -4.583 
 Percent = 2.3506  Prediction Error = -4.583 
 Percent = 2.3506  Prediction Error = -4.646 
 Percent = 2.1656  Prediction Error = -4.646 
 Percent = 2.1656  Prediction Error = -4.709 
 Percent = 1.9912  Prediction Error = -4.709 
 Percent = 1.9912  Prediction Error = -4.771 
 Percent = 1.827  Prediction Error = -4.771 
 Percent = 1.827  Prediction Error = -4.834 
 Percent = 1.6728  Prediction Error = -4.834 
 Percent = 1.6728  Prediction Error = -4.897 
 Percent = 1.5284  Prediction Error = -4.897 
 Percent = 1.5284  Prediction Error = -4.96 
 Percent = 1.3934  Prediction Error = -4.96 
 Percent = 1.3934  Prediction Error = -5.022 
 Percent = 1.2676  Prediction Error = -5.022 
 Percent = 1.2676  Prediction Error = -5.085 
 Percent = 1.1505  Prediction Error = -5.085 
 Percent = 1.1505  Prediction Error = -5.148 
 Percent = 1.0418  Prediction Error = -5.148 
 Percent = 1.0418  Prediction Error = -5.21 
 Percent = 0.9412  Prediction Error = -5.21 
 Percent = 0.9412  Prediction Error = -5.273 
 Percent = 0.8482  Prediction Error = -5.273 
 Percent = 0.8482  Prediction Error = -5.336 
 Percent = 0.7626  Prediction Error = -5.336 
 Percent = 0.7626  Prediction Error = -5.399 
 Percent = 0.6839  Prediction Error = -5.399 
 Percent = 0.6839  Prediction Error = -5.461 
 Percent = 0.6118  Prediction Error = -5.461 
 Percent = 0.6118  Prediction Error = -5.524 
 Percent = 0.5458  Prediction Error = -5.524 
 Percent = 0.5458  Prediction Error = -5.587 
 Percent = 0.4857  Prediction Error = -5.587 
 Percent = 0.4857  Prediction Error = -5.649 
 Percent = 0.4311  Prediction Error = -5.649 
 Percent = 0.4311  Prediction Error = -5.712 
 Percent = 0.3815  Prediction Error = -5.712 
 Percent = 0.3815  Prediction Error = -5.775 
 Percent = 0.3367  Prediction Error = -5.775 
 Percent = 0.3367  Prediction Error = -5.837 
 Percent = 0.2963  Prediction Error = -5.837 
 Percent = 0.2963  Prediction Error = -5.9 
 Percent = 0.26  Prediction Error = -5.9 
 Percent = 0.26  Prediction Error = -5.963 
 Percent = 0.2275  Prediction Error = -5.963 
 Percent = 0.2275  Prediction Error = -6.026 
 Percent = 0.1985  Prediction Error = -6.026 
 Percent = 0.1985  Prediction Error = -6.088 
 Percent = 0.1727  Prediction Error = -6.088 
 Percent = 0.1727  Prediction Error = -6.151 
 Percent = 0.1497  Prediction Error = -6.151 
 Percent = 0.1497  Prediction Error = -6.214 
 Percent = 0.1294  Prediction Error = -6.214 
 Percent = 0.1294  Prediction Error = -6.276 
 Percent = 0.1115  Prediction Error = -6.276 
 Percent = 0.1115  Prediction Error = -6.339 
 Percent = 0.0958  Prediction Error = -6.339 
 Percent = 0.0958  Prediction Error = -6.402 
 Percent = 0.082  Prediction Error = -6.402 
 Percent = 0.082  Prediction Error = -6.465 
 Percent = 0.07  Prediction Error = -6.465 
 Percent = 0.07  Prediction Error = -6.527 
 Percent = 0.0596  Prediction Error = -6.527 
 Percent = 0.0596  Prediction Error = -6.59 
 Percent = 0.0505  Prediction Error = 6.1512 
 Percent = 0.2177  Prediction Error = 6.0895 
 Percent = 0.2383  Prediction Error = 6.0895 
 Percent = 0.2383  Prediction Error = 6.0278 
 Percent = 0.2606  Prediction Error = 6.0278 
 Percent = 0.2606  Prediction Error = 5.9661 
 Percent = 0.2848  Prediction Error = 5.9661 
 Percent = 0.2848  Prediction Error = 5.9044 
 Percent = 0.3109  Prediction Error = 5.9044 
 Percent = 0.3109  Prediction Error = 5.8427 
 Percent = 0.3391  Prediction Error = 5.8427 
 Percent = 0.3391  Prediction Error = 5.781 
 Percent = 0.3695  Prediction Error = 5.781 
 Percent = 0.3695  Prediction Error = 5.7193 
 Percent = 0.4022  Prediction Error = 5.7193 
 Percent = 0.4022  Prediction Error = 5.6576 
 Percent = 0.4375  Prediction Error = 5.6576 
 Percent = 0.4375  Prediction Error = 5.596 
 Percent = 0.4754  Prediction Error = 5.596 
 Percent = 0.4754  Prediction Error = 5.5343 
 Percent = 0.5161  Prediction Error = 5.5343 
 Percent = 0.5161  Prediction Error = 5.4726 
 Percent = 0.5598  Prediction Error = 5.4726 
 Percent = 0.5598  Prediction Error = 5.4109 
 Percent = 0.6066  Prediction Error = 5.4109 
 Percent = 0.6066  Prediction Error = 5.3492 
 Percent = 0.6568  Prediction Error = 5.3492 
 Percent = 0.6568  Prediction Error = 5.2875 
 Percent = 0.7104  Prediction Error = 5.2875 
 Percent = 0.7104  Prediction Error = 5.2258 
 Percent = 0.7677  Prediction Error = 5.2258 
 Percent = 0.7677  Prediction Error = 5.1641 
 Percent = 0.8289  Prediction Error = 5.1641 
 Percent = 0.8289  Prediction Error = 5.1024 
 Percent = 0.8941  Prediction Error = 5.1024 
 Percent = 0.8941  Prediction Error = 5.0407 
 Percent = 0.9636  Prediction Error = 5.0407 
 Percent = 0.9636  Prediction Error = 4.9791 
 Percent = 1.0376  Prediction Error = 4.9791 
 Percent = 1.0376  Prediction Error = 4.9174 
 Percent = 1.1161  Prediction Error = 4.9174 
 Percent = 1.1161  Prediction Error = 4.8557 
 Percent = 1.1996  Prediction Error = 4.8557 
 Percent = 1.1996  Prediction Error = 4.794 
 Percent = 1.288  Prediction Error = 4.794 
 Percent = 1.288  Prediction Error = 4.7323 
 Percent = 1.3818  Prediction Error = 4.7323 
 Percent = 1.3818  Prediction Error = 4.6706 
 Percent = 1.481  Prediction Error = 4.6706 
 Percent = 1.481  Prediction Error = 4.6089 
 Percent = 1.5858  Prediction Error = 4.6089 
 Percent = 1.5858  Prediction Error = 4.5472 
 Percent = 1.6966  Prediction Error = 4.5472 
 Percent = 1.6966  Prediction Error = 4.4855 
 Percent = 1.8134  Prediction Error = 4.4855 
 Percent = 1.8134  Prediction Error = 4.4238 
 Percent = 1.9364  Prediction Error = 4.4238 
 Percent = 1.9364  Prediction Error = 4.3621 
 Percent = 2.0659  Prediction Error = 4.3621 
 Percent = 2.0659  Prediction Error = 4.3005 
 Percent = 2.2021  Prediction Error = 4.3005 
 Percent = 2.2021  Prediction Error = 4.2388 
 Percent = 2.345  Prediction Error = 4.2388 
 Percent = 2.345  Prediction Error = 4.1771 
 Percent = 2.495  Prediction Error = 4.1771 
 Percent = 2.495  Prediction Error = 4.1154 
 Percent = 2.6521  Prediction Error = 4.1154 
 Percent = 2.6521  Prediction Error = 4.0537 
 Percent = 2.8165  Prediction Error = 4.0537 
 Percent = 2.8165  Prediction Error = 3.992 
 Percent = 2.9884  Prediction Error = 3.992 
 Percent = 2.9884  Prediction Error = 3.9303 
 Percent = 3.1678  Prediction Error = 3.9303 
 Percent = 3.1678  Prediction Error = 3.8686 
 Percent = 3.3549  Prediction Error = 3.8686 
 Percent = 3.3549  Prediction Error = 3.8069 
 Percent = 3.5498  Prediction Error = 3.8069 
 Percent = 3.5498  Prediction Error = 3.7452 
 Percent = 3.7526  Prediction Error = 3.7452 
 Percent = 3.7526  Prediction Error = 3.6836 
 Percent = 3.9634  Prediction Error = 3.6836 
 Percent = 3.9634  Prediction Error = 3.6219 
 Percent = 4.1821  Prediction Error = 3.6219 
 Percent = 4.1821  Prediction Error = 3.5602 
 Percent = 4.4089  Prediction Error = 3.5602 
 Percent = 4.4089  Prediction Error = 3.4985 
 Percent = 4.6436  Prediction Error = 3.4985 
 Percent = 4.6436  Prediction Error = 3.4368 
 Percent = 4.8864  Prediction Error = 3.4368 
 Percent = 4.8864  Prediction Error = 3.3751 
 Percent = 5.1372  Prediction Error = 3.3751 
 Percent = 5.1372  Prediction Error = 3.2517 
 Percent = 5.6624  Prediction Error = 3.2517 
 Percent = 5.6624  Prediction Error = 3.1283 
 Percent = 6.2184  Prediction Error = 3.1283 
 Percent = 6.2184  Prediction Error = 3.005 
 Percent = 6.8039  Prediction Error = 3.005 
 Percent = 6.8039  Prediction Error = 2.8816 
 Percent = 7.4173  Prediction Error = 2.8816 
 Percent = 7.4173  Prediction Error = 2.7582 
 Percent = 8.0564  Prediction Error = 2.7582 
 Percent = 8.0564  Prediction Error = 1.8328 
 Percent = 13.319  Prediction Error = 1.8328 
 Percent = 13.319  Prediction Error = 1.6478 
 Percent = 14.368  Prediction Error = 1.6478 
 Percent = 14.368  Prediction Error = 1.5244 
 Percent = 15.043  Prediction Error = 1.5244 
 Percent = 15.043  Prediction Error = 1.401 
 Percent = 15.692  Prediction Error = 1.401 
 Percent = 15.692  Prediction Error = 1.2776 
 Percent = 16.309  Prediction Error = 1.2776 
 Percent = 16.309  Prediction Error = 1.2159 
 Percent = 16.603  Prediction Error = 1.2159 
 Percent = 16.603  Prediction Error = 1.1542 
 Percent = 16.888  Prediction Error = 1.1542 
 Percent = 16.888  Prediction Error = 1.0926 
 Percent = 17.161  Prediction Error = 1.0926 
 Percent = 17.161  Prediction Error = 1.0309 
 Percent = 17.423  Prediction Error = 1.0309 
 Percent = 17.423  Prediction Error = 0.9692 
 Percent = 17.673  Prediction Error = 0.9692 
 Percent = 17.673  Prediction Error = 0.9075 
 Percent = 17.91  Prediction Error = 0.9075 
 Percent = 17.91  Prediction Error = 0.8458 
 Percent = 18.133  Prediction Error = 0.8458 
 Percent = 18.133  Prediction Error = 0.7841 
 Percent = 18.343  Prediction Error = 0.7841 
 Percent = 18.343  Prediction Error = 0.7224 
 Percent = 18.538  Prediction Error = 0.7224 
 Percent = 18.538  Prediction Error = 0.6607 
 Percent = 18.717  Prediction Error = 0.6607 
 Percent = 18.717  Prediction Error = 0.599 
 Percent = 18.881  Prediction Error = 0.599 
 Percent = 18.881  Prediction Error = 0.5373 
 Percent = 19.029  Prediction Error = 0.5373 
 Percent = 19.029  Prediction Error = 0.4757 
 Percent = 19.161  Prediction Error = 0.4757 
 Percent = 19.161  Prediction Error = 0.414 
 Percent = 19.275  Prediction Error = 0.414 
 Percent = 19.275  Prediction Error = 0.3523 
 Percent = 19.373  Prediction Error = 0.3523 
 Percent = 19.373  Prediction Error = 0.2906 
 Percent = 19.453  Prediction Error = 0.2906 
 Percent = 19.453  Prediction Error = 0.2289 
 Percent = 19.516  Prediction Error = 0.2289 
 Percent = 19.516  Prediction Error = 0.1672 
 Percent = 19.561  Prediction Error = 0.1672 
 Percent = 19.561  Prediction Error = 0.1055 
 Percent = 19.588  Prediction Error = 0.1055 
 Percent = 19.588  Prediction Error = 0.0438 
 Percent = 19.597  Prediction Error = 0.0438 
 Percent = 19.597  Prediction Error = -0.018 
 Percent = 19.588  Prediction Error = -0.018 
 Percent = 19.588  Prediction Error = -0.08 
 Percent = 19.561  Prediction Error = -0.08 
 Percent = 19.561  Prediction Error = -0.141 
 Percent = 19.516  Prediction Error = -0.141 
 Percent = 19.516  Prediction Error = -0.203 
 Percent = 19.453  Prediction Error = -0.203 
 Percent = 19.453  Prediction Error = -0.265 
 Percent = 19.373  Prediction Error = -0.265 
 Percent = 19.373  Prediction Error = -0.326 
 Percent = 19.275  Prediction Error = -0.326 
 Percent = 19.275  Prediction Error = -0.388 
 Percent = 19.161  Prediction Error = -0.388 
 Percent = 19.161  Prediction Error = -0.45 
 Percent = 19.029  Prediction Error = -0.45 
 Percent = 19.029  Prediction Error = -0.511 
 Percent = 18.881  Prediction Error = -0.511 
 Percent = 18.881  Prediction Error = -0.573 
 Percent = 18.717  Prediction Error = -0.573 
 Percent = 18.717  Prediction Error = -0.635 
 Percent = 18.538  Prediction Error = -0.635 
 Percent = 18.538  Prediction Error = -0.696 
 Percent = 18.343  Prediction Error = -0.696 
 Percent = 18.343  Prediction Error = -0.758 
 Percent = 18.133  Prediction Error = -0.758 
 Percent = 18.133  Prediction Error = -0.82 
 Percent = 17.91  Prediction Error = -0.82 
 Percent = 17.91  Prediction Error = -0.882 
 Percent = 17.673  Prediction Error = -0.882 
 Percent = 17.673  Prediction Error = -0.943 
 Percent = 17.423  Prediction Error = -0.943 
 Percent = 17.423  Prediction Error = -1.005 
 Percent = 17.161  Prediction Error = -1.005 
 Percent = 17.161  Prediction Error = -1.067 
 Percent = 16.888  Prediction Error = -1.067 
 Percent = 16.888  Prediction Error = -1.128 
 Percent = 16.603  Prediction Error = -1.128 
 Percent = 16.603  Prediction Error = -1.19 
 Percent = 16.309  Prediction Error = -1.19 
 Percent = 16.309  Prediction Error = -1.313 
 Percent = 15.692  Prediction Error = -1.313 
 Percent = 15.692  Prediction Error = -1.437 
 Percent = 15.043  Prediction Error = -1.437 
 Percent = 15.043  Prediction Error = -2.177 
 Percent = 10.808  Prediction Error = -2.177 
 Percent = 10.808  Prediction Error = -2.424 
 Percent = 9.4002  Prediction Error = -2.424 
 Percent = 9.4002  Prediction Error = -2.609 
 Percent = 8.3847  Prediction Error = -2.609 
 Percent = 8.3847  Prediction Error = -2.732 
 Percent = 7.7338  Prediction Error = -2.732 
 Percent = 7.7338  Prediction Error = -2.856 
 Percent = 7.1073  Prediction Error = -2.856 
 Percent = 7.1073  Prediction Error = -2.979 
 Percent = 6.5076  Prediction Error = -2.979 
 Percent = 6.5076  Prediction Error = -3.102 
 Percent = 5.9366  Prediction Error = -3.102 
 Percent = 5.9366  Prediction Error = -3.226 
 Percent = 5.3959  Prediction Error = -3.226 
 Percent = 5.3959  Prediction Error = -3.287 
 Percent = 5.1372  Prediction Error = -3.287 
 Percent = 5.1372  Prediction Error = -3.349 
 Percent = 4.8864  Prediction Error = -3.349 
 Percent = 4.8864  Prediction Error = -3.411 
 Percent = 4.6436  Prediction Error = -3.411 
 Percent = 4.6436  Prediction Error = -3.473 
 Percent = 4.4089  Prediction Error = -3.473 
 Percent = 4.4089  Prediction Error = -3.534 
 Percent = 4.1821  Prediction Error = -3.534 
 Percent = 4.1821  Prediction Error = -3.596 
 Percent = 3.9634  Prediction Error = -3.596 
 Percent = 3.9634  Prediction Error = -3.658 
 Percent = 3.7526  Prediction Error = -3.658 
 Percent = 3.7526  Prediction Error = -3.719 
 Percent = 3.5498  Prediction Error = -3.719 
 Percent = 3.5498  Prediction Error = -3.781 
 Percent = 3.3549  Prediction Error = -3.781 
 Percent = 3.3549  Prediction Error = -3.843 
 Percent = 3.1678  Prediction Error = -3.843 
 Percent = 3.1678  Prediction Error = -3.904 
 Percent = 2.9884  Prediction Error = -3.904 
 Percent = 2.9884  Prediction Error = -3.966 
 Percent = 2.8165  Prediction Error = -3.966 
 Percent = 2.8165  Prediction Error = -4.028 
 Percent = 2.6521  Prediction Error = -4.028 
 Percent = 2.6521  Prediction Error = -4.089 
 Percent = 2.495  Prediction Error = -4.089 
 Percent = 2.495  Prediction Error = -4.151 
 Percent = 2.345  Prediction Error = -4.151 
 Percent = 2.345  Prediction Error = -4.213 
 Percent = 2.2021  Prediction Error = -4.213 
 Percent = 2.2021  Prediction Error = -4.275 
 Percent = 2.0659  Prediction Error = -4.275 
 Percent = 2.0659  Prediction Error = -4.336 
 Percent = 1.9364  Prediction Error = -4.336 
 Percent = 1.9364  Prediction Error = -4.398 
 Percent = 1.8134  Prediction Error = -4.398 
 Percent = 1.8134  Prediction Error = -4.46 
 Percent = 1.6966  Prediction Error = -4.46 
 Percent = 1.6966  Prediction Error = -4.521 
 Percent = 1.5858  Prediction Error = -4.521 
 Percent = 1.5858  Prediction Error = -4.583 
 Percent = 1.481  Prediction Error = -4.583 
 Percent = 1.481  Prediction Error = -4.645 
 Percent = 1.3818  Prediction Error = -4.645 
 Percent = 1.3818  Prediction Error = -4.706 
 Percent = 1.288  Prediction Error = -4.706 
 Percent = 1.288  Prediction Error = -4.768 
 Percent = 1.1996  Prediction Error = -4.768 
 Percent = 1.1996  Prediction Error = -4.83 
 Percent = 1.1161  Prediction Error = -4.83 
 Percent = 1.1161  Prediction Error = -4.891 
 Percent = 1.0376  Prediction Error = -4.891 
 Percent = 1.0376  Prediction Error = -4.953 
 Percent = 0.9636  Prediction Error = -4.953 
 Percent = 0.9636  Prediction Error = -5.015 
 Percent = 0.8941  Prediction Error = -5.015 
 Percent = 0.8941  Prediction Error = -5.076 
 Percent = 0.8289  Prediction Error = -5.076 
 Percent = 0.8289  Prediction Error = -5.138 
 Percent = 0.7677  Prediction Error = -5.138 
 Percent = 0.7677  Prediction Error = -5.2 
 Percent = 0.7104  Prediction Error = -5.2 
 Percent = 0.7104  Prediction Error = -5.262 
 Percent = 0.6568  Prediction Error = -5.262 
 Percent = 0.6568  Prediction Error = -5.323 
 Percent = 0.6066  Prediction Error = -5.323 
 Percent = 0.6066  Prediction Error = -5.385 
 Percent = 0.5598  Prediction Error = -5.385 
 Percent = 0.5598  Prediction Error = -5.447 
 Percent = 0.5161  Prediction Error = -5.447 
 Percent = 0.5161  Prediction Error = -5.508 
 Percent = 0.4754  Prediction Error = -5.508 
 Percent = 0.4754  Prediction Error = -5.57 
 Percent = 0.4375  Prediction Error = -5.57 
 Percent = 0.4375  Prediction Error = -5.632 
 Percent = 0.4022  Prediction Error = -5.632 
 Percent = 0.4022  Prediction Error = -5.693 
 Percent = 0.3695  Prediction Error = -5.693 
 Percent = 0.3695  Prediction Error = -5.755 
 Percent = 0.3391  Prediction Error = -5.755 
 Percent = 0.3391  Prediction Error = -5.817 
 Percent = 0.3109  Prediction Error = -5.817 
 Percent = 0.3109  Prediction Error = -5.878 
 Percent = 0.2848  Prediction Error = -5.878 
 Percent = 0.2848  Prediction Error = -5.94 
 Percent = 0.2606  Prediction Error = -5.94 
 Percent = 0.2606  Prediction Error = -6.002 
 Percent = 0.2383  Prediction Error = -6.002 
 Percent = 0.2383  Prediction Error = -6.064 
 Percent = 0.2177  Prediction Error = 4 
 Percent = 2.6667  Prediction Error = 4 
 Percent = 2.6667  Prediction Error = 3 
 Percent = 4.4444  Prediction Error = 3 
 Percent = 4.4444  Prediction Error = 2 
 Percent = 29.778  Prediction Error = 2 
 Percent = 29.778  Prediction Error = 1 
 Percent = 8.4444  Prediction Error = 1 
 Percent = 8.4444  Prediction Error = 0 
 Percent = 16.444  Prediction Error = 0 
 Percent = 16.444  Prediction Error = -1 
 Percent = 9.3333  Prediction Error = -1 
 Percent = 9.3333  Prediction Error = -2 
 Percent = 16.444  Prediction Error = -2 
 Percent = 16.444  Prediction Error = -3 
 Percent = 9.3333  Prediction Error = -3 
 Percent = 9.3333  Prediction Error = -4 
 Percent = 3.1111  Prediction Error = -4 
 Percent = 3.1111  Quantile = 2.7733 
 Residual = 4.0072  Quantile = 2.4464 
 Residual = 4.0021  Quantile = 2.2684 
 Residual = 4  Quantile = 2.1421 
 Residual = 3.9918  Quantile = 2.0429 
 Residual = 3.6509  Quantile = 1.9604 
 Residual = 3.6075  Quantile = 1.8895 
 Residual = 3.2133  Quantile = 1.827 
 Residual = 3.1949  Quantile = 1.7709 
 Residual = 2.9156  Quantile = 1.7198 
 Residual = 2.8442  Quantile = 1.6729 
 Residual = 2.7278  Quantile = 1.6294 
 Residual = 2.701  Quantile = 1.5888 
 Residual = 2.6638  Quantile = 1.5507 
 Residual = 2.6515  Quantile = 1.5147 
 Residual = 2.5372  Quantile = 1.4805 
 Residual = 2.5302  Quantile = 1.448 
 Residual = 2.4676  Quantile = 1.417 
 Residual = 2.4162  Quantile = 1.3872 
 Residual = 2.3907  Quantile = 1.3587 
 Residual = 2.3044  Quantile = 1.3312 
 Residual = 2.3022  Quantile = 1.3047 
 Residual = 2.2875  Quantile = 1.279 
 Residual = 2.2744  Quantile = 1.2542 
 Residual = 2.1996  Quantile = 1.2301 
 Residual = 2.1836  Quantile = 1.2068 
 Residual = 2.1522  Quantile = 1.184 
 Residual = 2.1509  Quantile = 1.1619 
 Residual = 2.1431  Quantile = 1.1403 
 Residual = 2.1231  Quantile = 1.1192 
 Residual = 2.1169  Quantile = 1.0987 
 Residual = 2.0882  Quantile = 1.0785 
 Residual = 2.0877  Quantile = 1.0588 
 Residual = 2.0741  Quantile = 1.0395 
 Residual = 2.0666  Quantile = 1.0206 
 Residual = 2.0644  Quantile = 1.0021 
 Residual = 2.0493  Quantile = 0.9838 
 Residual = 2.031  Quantile = 0.9659 
 Residual = 2.0246  Quantile = 0.9483 
 Residual = 2.0112  Quantile = 0.931 
 Residual = 2.0062  Quantile = 0.914 
 Residual = 1.9999  Quantile = 0.8972 
 Residual = 1.9968  Quantile = 0.8807 
 Residual = 1.9922  Quantile = 0.8644 
 Residual = 1.9908  Quantile = 0.8484 
 Residual = 1.9794  Quantile = 0.8325 
 Residual = 1.9761  Quantile = 0.8169 
 Residual = 1.9736  Quantile = 0.8015 
 Residual = 1.9639  Quantile = 0.7862 
 Residual = 1.961  Quantile = 0.7711 
 Residual = 1.9482  Quantile = 0.7562 
 Residual = 1.9465  Quantile = 0.7415 
 Residual = 1.9187  Quantile = 0.7269 
 Residual = 1.8755  Quantile = 0.7125 
 Residual = 1.8592  Quantile = 0.6983 
 Residual = 1.8484  Quantile = 0.6841 
 Residual = 1.845  Quantile = 0.6701 
 Residual = 1.8244  Quantile = 0.6563 
 Residual = 1.8194  Quantile = 0.6425 
 Residual = 1.8174  Quantile = 0.6289 
 Residual = 1.8053  Quantile = 0.6154 
 Residual = 1.7801  Quantile = 0.602 
 Residual = 1.7745  Quantile = 0.5887 
 Residual = 1.7528  Quantile = 0.5755 
 Residual = 1.7397  Quantile = 0.5625 
 Residual = 1.7326  Quantile = 0.5495 
 Residual = 1.7288  Quantile = 0.5366 
 Residual = 1.7275  Quantile = 0.5238 
 Residual = 1.7236  Quantile = 0.511 
 Residual = 1.7193  Quantile = 0.4984 
 Residual = 1.6615  Quantile = 0.4858 
 Residual = 1.6491  Quantile = 0.4734 
 Residual = 1.6375  Quantile = 0.4609 
 Residual = 1.6223  Quantile = 0.4486 
 Residual = 1.6061  Quantile = 0.4363 
 Residual = 1.5867  Quantile = 0.4241 
 Residual = 1.5773  Quantile = 0.412 
 Residual = 1.5655  Quantile = 0.3999 
 Residual = 1.5488  Quantile = 0.3879 
 Residual = 1.5442  Quantile = 0.3759 
 Residual = 1.5434  Quantile = 0.364 
 Residual = 1.5169  Quantile = 0.3521 
 Residual = 1.5137  Quantile = 0.3403 
 Residual = 1.5036  Quantile = 0.3285 
 Residual = 1.3933  Quantile = 0.3168 
 Residual = 1.3507  Quantile = 0.3051 
 Residual = 1.3221  Quantile = 0.2935 
 Residual = 1.3199  Quantile = 0.2819 
 Residual = 1.2927  Quantile = 0.2703 
 Residual = 1.237  Quantile = 0.2588 
 Residual = 1.224  Quantile = 0.2473 
 Residual = 1.1958  Quantile = 0.2359 
 Residual = 1.0872  Quantile = 0.2244 
 Residual = 1.0813  Quantile = 0.213 
 Residual = 1.0742  Quantile = 0.2017 
 Residual = 1.0711  Quantile = 0.1903 
 Residual = 1.0021  Quantile = 0.179 
 Residual = 1  Quantile = 0.1677 
 Residual = 0.9978  Quantile = 0.1564 
 Residual = 0.9852  Quantile = 0.1452 
 Residual = 0.9584  Quantile = 0.1339 
 Residual = 0.9317  Quantile = 0.1227 
 Residual = 0.8343  Quantile = 0.1115 
 Residual = 0.4705  Quantile = 0.1003 
 Residual = 0.4078  Quantile = 0.0891 
 Residual = 0.3821  Quantile = 0.078 
 Residual = 0.3245  Quantile = 0.0668 
 Residual = 0.3244  Quantile = 0.0557 
 Residual = 0.2742  Quantile = 0.0445 
 Residual = 0.2677  Quantile = 0.0334 
 Residual = 0.2653  Quantile = 0.0223 
 Residual = 0.0114  Quantile = 0.0111 
 Residual = 0.0102  Quantile = 0 
 Residual = 0.0083  Quantile = -0.011 
 Residual = 0.0062  Quantile = -0.022 
 Residual = 0.004  Quantile = -0.033 
 Residual = 0.0016  Quantile = -0.045 
 Residual = 0.0015  Quantile = -0.056 
 Residual = 9.7E-6  Quantile = -0.067 
 Residual = -97E-7  Quantile = -0.078 
 Residual = -97E-7  Quantile = -0.089 
 Residual = -0.001  Quantile = -0.1 
 Residual = -0.003  Quantile = -0.112 
 Residual = -0.006  Quantile = -0.123 
 Residual = -0.006  Quantile = -0.134 
 Residual = -0.006  Quantile = -0.145 
 Residual = -0.006  Quantile = -0.156 
 Residual = -0.007  Quantile = -0.168 
 Residual = -0.045  Quantile = -0.179 
 Residual = -0.158  Quantile = -0.19 
 Residual = -0.176  Quantile = -0.202 
 Residual = -0.199  Quantile = -0.213 
 Residual = -0.203  Quantile = -0.224 
 Residual = -0.221  Quantile = -0.236 
 Residual = -0.222  Quantile = -0.247 
 Residual = -0.271  Quantile = -0.259 
 Residual = -0.326  Quantile = -0.27 
 Residual = -0.343  Quantile = -0.282 
 Residual = -0.355  Quantile = -0.293 
 Residual = -0.496  Quantile = -0.305 
 Residual = -0.507  Quantile = -0.317 
 Residual = -0.512  Quantile = -0.329 
 Residual = -0.567  Quantile = -0.34 
 Residual = -0.823  Quantile = -0.352 
 Residual = -0.845  Quantile = -0.364 
 Residual = -0.886  Quantile = -0.376 
 Residual = -1  Quantile = -0.388 
 Residual = -1.02  Quantile = -0.4 
 Residual = -1.021  Quantile = -0.412 
 Residual = -1.086  Quantile = -0.424 
 Residual = -1.143  Quantile = -0.436 
 Residual = -1.152  Quantile = -0.449 
 Residual = -1.182  Quantile = -0.461 
 Residual = -1.199  Quantile = -0.473 
 Residual = -1.227  Quantile = -0.486 
 Residual = -1.244  Quantile = -0.498 
 Residual = -1.289  Quantile = -0.511 
 Residual = -1.35  Quantile = -0.524 
 Residual = -1.378  Quantile = -0.537 
 Residual = -1.41  Quantile = -0.549 
 Residual = -1.424  Quantile = -0.562 
 Residual = -1.825  Quantile = -0.576 
 Residual = -1.843  Quantile = -0.589 
 Residual = -1.866  Quantile = -0.602 
 Residual = -1.896  Quantile = -0.615 
 Residual = -1.933  Quantile = -0.629 
 Residual = -1.965  Quantile = -0.643 
 Residual = -1.983  Quantile = -0.656 
 Residual = -1.983  Quantile = -0.67 
 Residual = -1.998  Quantile = -0.684 
 Residual = -2.019  Quantile = -0.698 
 Residual = -2.074  Quantile = -0.713 
 Residual = -2.08  Quantile = -0.727 
 Residual = -2.082  Quantile = -0.742 
 Residual = -2.09  Quantile = -0.756 
 Residual = -2.13  Quantile = -0.771 
 Residual = -2.148  Quantile = -0.786 
 Residual = -2.159  Quantile = -0.801 
 Residual = -2.163  Quantile = -0.817 
 Residual = -2.176  Quantile = -0.833 
 Residual = -2.176  Quantile = -0.848 
 Residual = -2.218  Quantile = -0.864 
 Residual = -2.231  Quantile = -0.881 
 Residual = -2.231  Quantile = -0.897 
 Residual = -2.246  Quantile = -0.914 
 Residual = -2.277  Quantile = -0.931 
 Residual = -2.297  Quantile = -0.948 
 Residual = -2.304  Quantile = -0.966 
 Residual = -2.322  Quantile = -0.984 
 Residual = -2.403  Quantile = -1.002 
 Residual = -2.404  Quantile = -1.021 
 Residual = -2.404  Quantile = -1.04 
 Residual = -2.424  Quantile = -1.059 
 Residual = -2.436  Quantile = -1.079 
 Residual = -2.481  Quantile = -1.099 
 Residual = -2.484  Quantile = -1.119 
 Residual = -2.494  Quantile = -1.14 
 Residual = -2.498  Quantile = -1.162 
 Residual = -2.525  Quantile = -1.184 
 Residual = -2.601  Quantile = -1.207 
 Residual = -2.605  Quantile = -1.23 
 Residual = -2.608  Quantile = -1.254 
 Residual = -2.611  Quantile = -1.279 
 Residual = -2.651  Quantile = -1.305 
 Residual = -2.661  Quantile = -1.331 
 Residual = -2.663  Quantile = -1.359 
 Residual = -2.687  Quantile = -1.387 
 Residual = -2.691  Quantile = -1.417 
 Residual = -2.773  Quantile = -1.448 
 Residual = -2.883  Quantile = -1.481 
 Residual = -2.9  Quantile = -1.515 
 Residual = -2.935  Quantile = -1.551 
 Residual = -3.018  Quantile = -1.589 
 Residual = -3.062  Quantile = -1.629 
 Residual = -3.118  Quantile = -1.673 
 Residual = -3.163  Quantile = -1.72 
 Residual = -3.183  Quantile = -1.771 
 Residual = -3.185  Quantile = -1.827 
 Residual = -3.3  Quantile = -1.89 
 Residual = -3.741  Quantile = -1.96 
 Residual = -3.98  Quantile = -2.043 
 Residual = -3.989  Quantile = -2.142 
 Residual = -3.997  Quantile = -2.268 
 Residual = -4  Quantile = -2.446 
 Residual = -4  Quantile = -2.773 
 Residual = -4.019  Slope = 2.0358 
 Y = 0.0438  Lag = 24 
 ACF = -0.049  Lag = 23 
 ACF = -0.032  Lag = 22 
 ACF = 0.0152  Lag = 21 
 ACF = -0.062  Lag = 20 
 ACF = -0.044  Lag = 19 
 ACF = -0.013  Lag = 18 
 ACF = -0.04  Lag = 17 
 ACF = -0.005  Lag = 16 
 ACF = -0.007  Lag = 15 
 ACF = -0.012  Lag = 14 
 ACF = 0.0243  Lag = 13 
 ACF = 0.0735  Lag = 12 
 ACF = 0.0172  Lag = 11 
 ACF = -0.071  Lag = 10 
 ACF = -0.057  Lag = 9 
 ACF = 0.0233  Lag = 8 
 ACF = -0.012  Lag = 7 
 ACF = -0.015  Lag = 6 
 ACF = -0.088  Lag = 5 
 ACF = -0.03  Lag = 4 
 ACF = 0.0579  Lag = 3 
 ACF = -0.074  Lag = 2 
 ACF = -0.068  Lag = 1 
 ACF = -0.004  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.139 
 Upper = 0.1394  Lag = 23 
 Lower = -0.139 
 Upper = 0.1393  Lag = 23 
 Lower = -0.139 
 Upper = 0.1393  Lag = 22 
 Lower = -0.139 
 Upper = 0.1392  Lag = 22 
 Lower = -0.139 
 Upper = 0.1392  Lag = 21 
 Lower = -0.139 
 Upper = 0.1388  Lag = 21 
 Lower = -0.139 
 Upper = 0.1388  Lag = 20 
 Lower = -0.139 
 Upper = 0.1385  Lag = 20 
 Lower = -0.139 
 Upper = 0.1385  Lag = 19 
 Lower = -0.138 
 Upper = 0.1385  Lag = 19 
 Lower = -0.138 
 Upper = 0.1385  Lag = 18 
 Lower = -0.138 
 Upper = 0.1383  Lag = 18 
 Lower = -0.138 
 Upper = 0.1383  Lag = 17 
 Lower = -0.138 
 Upper = 0.1383  Lag = 17 
 Lower = -0.138 
 Upper = 0.1383  Lag = 16 
 Lower = -0.138 
 Upper = 0.1383  Lag = 16 
 Lower = -0.138 
 Upper = 0.1383  Lag = 15 
 Lower = -0.138 
 Upper = 0.1382  Lag = 15 
 Lower = -0.138 
 Upper = 0.1382  Lag = 14 
 Lower = -0.138 
 Upper = 0.1382  Lag = 14 
 Lower = -0.138 
 Upper = 0.1382  Lag = 13 
 Lower = -0.137 
 Upper = 0.1375  Lag = 13 
 Lower = -0.137 
 Upper = 0.1375  Lag = 12 
 Lower = -0.137 
 Upper = 0.1374  Lag = 12 
 Lower = -0.137 
 Upper = 0.1374  Lag = 11 
 Lower = -0.137 
 Upper = 0.1368  Lag = 11 
 Lower = -0.137 
 Upper = 0.1368  Lag = 10 
 Lower = -0.136 
 Upper = 0.1364  Lag = 10 
 Lower = -0.136 
 Upper = 0.1364  Lag = 9 
 Lower = -0.136 
 Upper = 0.1363  Lag = 9 
 Lower = -0.136 
 Upper = 0.1363  Lag = 8 
 Lower = -0.136 
 Upper = 0.1363  Lag = 8 
 Lower = -0.136 
 Upper = 0.1363  Lag = 7 
 Lower = -0.136 
 Upper = 0.1362  Lag = 7 
 Lower = -0.136 
 Upper = 0.1362  Lag = 6 
 Lower = -0.135 
 Upper = 0.1352  Lag = 6 
 Lower = -0.135 
 Upper = 0.1352  Lag = 5 
 Lower = -0.135 
 Upper = 0.1351  Lag = 5 
 Lower = -0.135 
 Upper = 0.1351  Lag = 4 
 Lower = -0.135 
 Upper = 0.1347  Lag = 4 
 Lower = -0.135 
 Upper = 0.1347  Lag = 3 
 Lower = -0.134 
 Upper = 0.1339  Lag = 3 
 Lower = -0.134 
 Upper = 0.1339  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.057  Lag = 23 
 PACF = -0.048  Lag = 22 
 PACF = 0.0022  Lag = 21 
 PACF = -0.079  Lag = 20 
 PACF = -0.048  Lag = 19 
 PACF = -0.006  Lag = 18 
 PACF = -0.043  Lag = 17 
 PACF = -0.022  Lag = 16 
 PACF = -0.012  Lag = 15 
 PACF = 0.0027  Lag = 14 
 PACF = 0.0177  Lag = 13 
 PACF = 0.0505  Lag = 12 
 PACF = 0.0049  Lag = 11 
 PACF = -0.08  Lag = 10 
 PACF = -0.055  Lag = 9 
 PACF = 0.0114  Lag = 8 
 PACF = -0.032  Lag = 7 
 PACF = -0.012  Lag = 6 
 PACF = -0.088  Lag = 5 
 PACF = -0.039  Lag = 4 
 PACF = 0.0528  Lag = 3 
 PACF = -0.075  Lag = 2 
 PACF = -0.068  Lag = 1 
 PACF = -0.004  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = 0.0152  Date_of_death = Jul2019 
 Loess Fit = 0.0146  Date_of_death = Jul2019 
 Loess Fit = 0.0146  Date_of_death = Jun2019 
 Loess Fit = 0.014  Date_of_death = Jun2019 
 Loess Fit = 0.014  Date_of_death = May2019 
 Loess Fit = 0.0133  Date_of_death = May2019 
 Loess Fit = 0.0133  Date_of_death = Apr2019 
 Loess Fit = 0.0127  Date_of_death = Apr2019 
 Loess Fit = 0.0127  Date_of_death = Mar2019 
 Loess Fit = 0.0121  Date_of_death = Mar2019 
 Loess Fit = 0.0121  Date_of_death = Feb2019 
 Loess Fit = 0.0115  Date_of_death = Feb2019 
 Loess Fit = 0.0115  Date_of_death = Jan2019 
 Loess Fit = 0.0109  Date_of_death = Jan2019 
 Loess Fit = 0.0109  Date_of_death = Dec2018 
 Loess Fit = 0.0103  Date_of_death = Dec2018 
 Loess Fit = 0.0103  Date_of_death = Oct2018 
 Loess Fit = 0.0097  Date_of_death = Oct2018 
 Loess Fit = 0.0097  Date_of_death = Sep2018 
 Loess Fit = 0.0091  Date_of_death = Sep2018 
 Loess Fit = 0.0091  Date_of_death = Aug2018 
 Loess Fit = 0.0085  Date_of_death = Aug2018 
 Loess Fit = 0.0085  Date_of_death = Jul2018 
 Loess Fit = 0.0079  Date_of_death = Jul2018 
 Loess Fit = 0.0079  Date_of_death = Jun2018 
 Loess Fit = 0.0073  Date_of_death = Jun2018 
 Loess Fit = 0.0073  Date_of_death = May2018 
 Loess Fit = 0.0067  Date_of_death = May2018 
 Loess Fit = 0.0067  Date_of_death = Apr2018 
 Loess Fit = 0.0061  Date_of_death = Apr2018 
 Loess Fit = 0.0061  Date_of_death = Mar2018 
 Loess Fit = 0.0055  Date_of_death = Mar2018 
 Loess Fit = 0.0055  Date_of_death = Jan2018 
 Loess Fit = 0.0049  Date_of_death = Jan2018 
 Loess Fit = 0.0049  Date_of_death = Dec2017 
 Loess Fit = 0.0043  Date_of_death = Dec2017 
 Loess Fit = 0.0043  Date_of_death = Nov2017 
 Loess Fit = 0.0037  Date_of_death = Nov2017 
 Loess Fit = 0.0037  Date_of_death = Oct2017 
 Loess Fit = 0.0031  Date_of_death = Oct2017 
 Loess Fit = 0.0031  Date_of_death = Sep2017 
 Loess Fit = 0.0025  Date_of_death = Sep2017 
 Loess Fit = 0.0025  Date_of_death = Aug2017 
 Loess Fit = 0.0019  Date_of_death = Aug2017 
 Loess Fit = 0.0019  Date_of_death = Jul2017 
 Loess Fit = 0.0013  Date_of_death = Jul2017 
 Loess Fit = 0.0013  Date_of_death = Jun2017 
 Loess Fit = .00069  Date_of_death = Jun2017 
 Loess Fit = .00069  Date_of_death = May2017 
 Loess Fit = 9.2E-5  Date_of_death = May2017 
 Loess Fit = 9.2E-5  Date_of_death = Mar2017 
 Loess Fit = -18E-5  Date_of_death = Mar2017 
 Loess Fit = -18E-5  Date_of_death = Feb2017 
 Loess Fit = -44E-5  Date_of_death = Feb2017 
 Loess Fit = -44E-5  Date_of_death = Jan2017 
 Loess Fit = -.0007  Date_of_death = Jan2017 
 Loess Fit = -.0007  Date_of_death = Dec2016 
 Loess Fit = -97E-5  Date_of_death = Dec2016 
 Loess Fit = -97E-5  Date_of_death = Nov2016 
 Loess Fit = -0.001  Date_of_death = Nov2016 
 Loess Fit = -0.001  Date_of_death = Oct2016 
 Loess Fit = -0.001  Date_of_death = Oct2016 
 Loess Fit = -0.001  Date_of_death = Sep2016 
 Loess Fit = -0.002  Date_of_death = Sep2016 
 Loess Fit = -0.002  Date_of_death = Aug2016 
 Loess Fit = -0.002  Date_of_death = Aug2016 
 Loess Fit = -0.002  Date_of_death = Jun2016 
 Loess Fit = -0.002  Date_of_death = Jun2016 
 Loess Fit = -0.002  Date_of_death = May2016 
 Loess Fit = -0.003  Date_of_death = May2016 
 Loess Fit = -0.003  Date_of_death = Apr2016 
 Loess Fit = -0.003  Date_of_death = Apr2016 
 Loess Fit = -0.003  Date_of_death = Mar2016 
 Loess Fit = -0.003  Date_of_death = Mar2016 
 Loess Fit = -0.003  Date_of_death = Feb2016 
 Loess Fit = -0.003  Date_of_death = Feb2016 
 Loess Fit = -0.003  Date_of_death = Jan2016 
 Loess Fit = -0.004  Date_of_death = Jan2016 
 Loess Fit = -0.004  Date_of_death = Dec2015 
 Loess Fit = -0.004  Date_of_death = Dec2015 
 Loess Fit = -0.004  Date_of_death = Nov2015 
 Loess Fit = -0.004  Date_of_death = Nov2015 
 Loess Fit = -0.004  Date_of_death = Sep2015 
 Loess Fit = -0.004  Date_of_death = Sep2015 
 Loess Fit = -0.004  Date_of_death = Aug2015 
 Loess Fit = -0.005  Date_of_death = Aug2015 
 Loess Fit = -0.005  Date_of_death = Jul2015 
 Loess Fit = -0.005  Date_of_death = Jul2015 
 Loess Fit = -0.005  Date_of_death = Jun2015 
 Loess Fit = -0.005  Date_of_death = Jun2015 
 Loess Fit = -0.005  Date_of_death = May2015 
 Loess Fit = -0.005  Date_of_death = May2015 
 Loess Fit = -0.005  Date_of_death = Apr2015 
 Loess Fit = -0.006  Date_of_death = Apr2015 
 Loess Fit = -0.006  Date_of_death = Mar2015 
 Loess Fit = -0.006  Date_of_death = Mar2015 
 Loess Fit = -0.006  Date_of_death = Feb2015 
 Loess Fit = -0.006  Date_of_death = Feb2015 
 Loess Fit = -0.006  Date_of_death = Dec2014 
 Loess Fit = -0.006  Date_of_death = Dec2014 
 Loess Fit = -0.006  Date_of_death = Nov2014 
 Loess Fit = -0.007  Date_of_death = Nov2014 
 Loess Fit = -0.007  Date_of_death = Oct2014 
 Loess Fit = -0.007  Date_of_death = Oct2014 
 Loess Fit = -0.007  Date_of_death = Sep2014 
 Loess Fit = -0.007  Date_of_death = Sep2014 
 Loess Fit = -0.007  Date_of_death = Aug2014 
 Loess Fit = -0.008  Date_of_death = Aug2014 
 Loess Fit = -0.008  Date_of_death = Jul2014 
 Loess Fit = -0.008  Date_of_death = Jul2014 
 Loess Fit = -0.008  Date_of_death = Jun2014 
 Loess Fit = -0.009  Date_of_death = Jun2014 
 Loess Fit = -0.009  Date_of_death = May2014 
 Loess Fit = -0.009  Date_of_death = May2014 
 Loess Fit = -0.009  Date_of_death = Apr2014 
 Loess Fit = -0.009  Date_of_death = Apr2014 
 Loess Fit = -0.009  Date_of_death = Feb2014 
 Loess Fit = -0.01  Date_of_death = Feb2014 
 Loess Fit = -0.01  Date_of_death = Jan2014 
 Loess Fit = -0.01  Date_of_death = Jan2014 
 Loess Fit = -0.01  Date_of_death = Dec2013 
 Loess Fit = -0.01  Date_of_death = Dec2013 
 Loess Fit = -0.01  Date_of_death = Nov2013 
 Loess Fit = -0.011  Date_of_death = Nov2013 
 Loess Fit = -0.011  Date_of_death = Oct2013 
 Loess Fit = -0.011  Date_of_death = Oct2013 
 Loess Fit = -0.011  Date_of_death = Sep2013 
 Loess Fit = -0.011  Date_of_death = Sep2013 
 Loess Fit = -0.011  Date_of_death = Aug2013 
 Loess Fit = -0.012  Date_of_death = Aug2013 
 Loess Fit = -0.012  Date_of_death = Jul2013 
 Loess Fit = -0.012  Date_of_death = Jul2013 
 Loess Fit = -0.012  Date_of_death = May2013 
 Loess Fit = -0.012  Date_of_death = May2013 
 Loess Fit = -0.012  Date_of_death = Apr2013 
 Loess Fit = -0.013  Date_of_death = Apr2013 
 Loess Fit = -0.013  Date_of_death = Mar2013 
 Loess Fit = -0.013  Date_of_death = Mar2013 
 Loess Fit = -0.013  Date_of_death = Feb2013 
 Loess Fit = -0.013  Date_of_death = Feb2013 
 Loess Fit = -0.013  Date_of_death = Jan2013 
 Loess Fit = -0.014  Date_of_death = Jan2013 
 Loess Fit = -0.014  Date_of_death = Dec2012 
 Loess Fit = -0.014  Date_of_death = Dec2012 
 Loess Fit = -0.014  Date_of_death = Nov2012 
 Loess Fit = -0.014  Date_of_death = Nov2012 
 Loess Fit = -0.014  Date_of_death = Oct2012 
 Loess Fit = -0.015  Date_of_death = Oct2012 
 Loess Fit = -0.015  Date_of_death = Aug2012 
 Loess Fit = -0.015  Date_of_death = Aug2012 
 Loess Fit = -0.015  Date_of_death = Jul2012 
 Loess Fit = -0.015  Date_of_death = Jul2012 
 Loess Fit = -0.015  Date_of_death = Jun2012 
 Loess Fit = -0.015  Date_of_death = Jun2012 
 Loess Fit = -0.015  Date_of_death = May2012 
 Loess Fit = -0.015  Date_of_death = May2012 
 Loess Fit = -0.015  Date_of_death = Apr2012 
 Loess Fit = -0.016  Date_of_death = Apr2012 
 Loess Fit = -0.016  Date_of_death = Mar2012 
 Loess Fit = -0.016  Date_of_death = Mar2012 
 Loess Fit = -0.016  Date_of_death = Feb2012 
 Loess Fit = -0.016  Date_of_death = Feb2012 
 Loess Fit = -0.016  Date_of_death = Jan2012 
 Loess Fit = -0.016  Date_of_death = Jan2012 
 Loess Fit = -0.016  Date_of_death = Dec2011 
 Loess Fit = -0.016  Date_of_death = Dec2011 
 Loess Fit = -0.016  Date_of_death = Oct2011 
 Loess Fit = -0.016  Date_of_death = Oct2011 
 Loess Fit = -0.016  Date_of_death = Sep2011 
 Loess Fit = -0.016  Date_of_death = Sep2011 
 Loess Fit = -0.016  Date_of_death = Aug2011 
 Loess Fit = -0.017  Date_of_death = Aug2011 
 Loess Fit = -0.017  Date_of_death = Jul2011 
 Loess Fit = -0.017  Date_of_death = Jul2011 
 Loess Fit = -0.017  Date_of_death = Jun2011 
 Loess Fit = -0.017  Date_of_death = Jun2011 
 Loess Fit = -0.017  Date_of_death = May2011 
 Loess Fit = -0.017  Date_of_death = May2011 
 Loess Fit = -0.017  Date_of_death = Apr2011 
 Loess Fit = -0.017  Date_of_death = Apr2011 
 Loess Fit = -0.017  Date_of_death = Mar2011 
 Loess Fit = -0.017  Date_of_death = Mar2011 
 Loess Fit = -0.017  Date_of_death = Jan2011 
 Loess Fit = -0.018  Date_of_death = Jan2011 
 Loess Fit = -0.018  Date_of_death = Dec2010 
 Loess Fit = -0.018  Date_of_death = Dec2010 
 Loess Fit = -0.018  Date_of_death = Nov2010 
 Loess Fit = -0.018  Date_of_death = Nov2010 
 Loess Fit = -0.018  Date_of_death = Oct2010 
 Loess Fit = -0.018  Date_of_death = Oct2010 
 Loess Fit = -0.018  Date_of_death = Sep2010 
 Loess Fit = -0.018  Date_of_death = Sep2010 
 Loess Fit = -0.018  Date_of_death = Aug2010 
 Loess Fit = -0.018  Date_of_death = Aug2010 
 Loess Fit = -0.018  Date_of_death = Jul2010 
 Loess Fit = -0.018  Date_of_death = Jul2010 
 Loess Fit = -0.018  Date_of_death = Jun2010 
 Loess Fit = -0.019  Date_of_death = Jun2010 
 Loess Fit = -0.019  Date_of_death = May2010 
 Loess Fit = -0.019  Date_of_death = May2010 
 Loess Fit = -0.019  Date_of_death = Mar2010 
 Loess Fit = -0.016  Date_of_death = Mar2010 
 Loess Fit = -0.016  Date_of_death = Feb2010 
 Loess Fit = -0.013  Date_of_death = Feb2010 
 Loess Fit = -0.013  Date_of_death = Jan2010 
 Loess Fit = -0.01  Date_of_death = Jan2010 
 Loess Fit = -0.01  Date_of_death = Dec2009 
 Loess Fit = -0.007  Date_of_death = Dec2009 
 Loess Fit = -0.007  Date_of_death = Nov2009 
 Loess Fit = -0.004  Date_of_death = Nov2009 
 Loess Fit = -0.004  Date_of_death = Oct2009 
 Loess Fit = -0.001  Date_of_death = Oct2009 
 Loess Fit = -0.001  Date_of_death = Sep2009 
 Loess Fit = 0.0017  Date_of_death = Sep2009 
 Loess Fit = 0.0017  Date_of_death = Aug2009 
 Loess Fit = 0.0046  Date_of_death = Aug2009 
 Loess Fit = 0.0046  Date_of_death = Jun2009 
 Loess Fit = 0.0075  Date_of_death = Jun2009 
 Loess Fit = 0.0075  Date_of_death = May2009 
 Loess Fit = 0.0105  Date_of_death = May2009 
 Loess Fit = 0.0105  Date_of_death = Apr2009 
 Loess Fit = 0.0134  Date_of_death = Apr2009 
 Loess Fit = 0.0134  Date_of_death = Mar2009 
 Loess Fit = 0.0163  Date_of_death = Mar2009 
 Loess Fit = 0.0163  Date_of_death = Feb2009 
 Loess Fit = 0.0193  Date_of_death = Feb2009 
 Loess Fit = 0.0193  Date_of_death = Jan2009 
 Loess Fit = 0.0222  Date_of_death = Jan2009 
 Loess Fit = 0.0222  Date_of_death = Dec2008 
 Loess Fit = 0.0252  Date_of_death = Dec2008 
 Loess Fit = 0.0252  Date_of_death = Nov2008 
 Loess Fit = 0.0281  Date_of_death = Nov2008 
 Loess Fit = 0.0281  Date_of_death = Sep2008 
 Loess Fit = 0.031  Date_of_death = Sep2008 
 Loess Fit = 0.031  Date_of_death = Aug2008 
 Loess Fit = 0.034  Date_of_death = Aug2008 
 Loess Fit = 0.034  Date_of_death = Jul2008 
 Loess Fit = 0.0369  Date_of_death = Jul2008 
 Loess Fit = 0.0369  Date_of_death = Jun2008 
 Loess Fit = 0.0398  Date_of_death = Jun2008 
 Loess Fit = 0.0398  Date_of_death = May2008 
 Loess Fit = 0.0428  Date_of_death = May2008 
 Loess Fit = 0.0428  Date_of_death = Apr2008 
 Loess Fit = 0.0457  Date_of_death = Apr2008 
 Loess Fit = 0.0457  Date_of_death = Mar2008 
 Loess Fit = 0.0487  Date_of_death = Mar2008 
 Loess Fit = 0.0487  Date_of_death = Feb2008 
 Loess Fit = 0.0516  Date_of_death = Feb2008 
 Loess Fit = 0.0516  Date_of_death = Jan2008 
 Loess Fit = 0.0545  Date_of_death = Jan2008 
 Loess Fit = 0.0545  Date_of_death = Nov2007 
 Loess Fit = 0.0571  Date_of_death = Nov2007 
 Loess Fit = 0.0571  Date_of_death = Oct2007 
 Loess Fit = 0.0597  Date_of_death = Oct2007 
 Loess Fit = 0.0597  Date_of_death = Sep2007 
 Loess Fit = 0.0623  Date_of_death = Sep2007 
 Loess Fit = 0.0623  Date_of_death = Aug2007 
 Loess Fit = 0.0649  Date_of_death = Aug2007 
 Loess Fit = 0.0649  Date_of_death = Jul2007 
 Loess Fit = 0.0675  Date_of_death = Jul2007 
 Loess Fit = 0.0675  Date_of_death = Jun2007 
 Loess Fit = 0.0701  Date_of_death = Jun2007 
 Loess Fit = 0.0701  Date_of_death = May2007 
 Loess Fit = 0.0727  Date_of_death = May2007 
 Loess Fit = 0.0727  Date_of_death = Apr2007 
 Loess Fit = 0.0752  Date_of_death = Apr2007 
 Loess Fit = 0.0752  Date_of_death = Feb2007 
 Loess Fit = 0.0778  Date_of_death = Feb2007 
 Loess Fit = 0.0778  Date_of_death = Jan2007 
 Loess Fit = 0.0804  Date_of_death = Jan2007 
 Loess Fit = 0.0804  Date_of_death = Dec2006 
 Loess Fit = 0.083  Date_of_death = Dec2006 
 Loess Fit = 0.083  Date_of_death = Nov2006 
 Loess Fit = 0.0856  Date_of_death = Nov2006 
 Loess Fit = 0.0856  Date_of_death = Oct2006 
 Loess Fit = 0.0882  Date_of_death = Oct2006 
 Loess Fit = 0.0882  Date_of_death = Sep2006 
 Loess Fit = 0.0908  Date_of_death = Sep2006 
 Loess Fit = 0.0908  Date_of_death = Aug2006 
 Loess Fit = 0.0934  Date_of_death = Aug2006 
 Loess Fit = 0.0934  Date_of_death = Jul2006 
 Loess Fit = 0.0959  Date_of_death = Jul2006 
 Loess Fit = 0.0959  Date_of_death = May2006 
 Loess Fit = 0.0985  Date_of_death = May2006 
 Loess Fit = 0.0985  Date_of_death = Apr2006 
 Loess Fit = 0.1011  Date_of_death = Apr2006 
 Loess Fit = 0.1011  Date_of_death = Mar2006 
 Loess Fit = 0.1037  Date_of_death = Mar2006 
 Loess Fit = 0.1037  Date_of_death = Feb2006 
 Loess Fit = 0.1063  Date_of_death = Feb2006 
 Loess Fit = 0.1063  Date_of_death = Jan2006 
 Loess Fit = 0.1089  Date_of_death = Jan2006 
 Loess Fit = 0.1089  Date_of_death = Dec2005 
 Loess Fit = 0.1115  Date_of_death = Dec2005 
 Loess Fit = 0.1115  Date_of_death = Nov2005 
 Loess Fit = 0.1141  Date_of_death = Nov2005 
 Loess Fit = 0.1141  Date_of_death = Oct2005 
 Loess Fit = 0.1166  Date_of_death = Oct2005 
 Loess Fit = 0.1166  Date_of_death = Sep2005 
 Loess Fit = 0.1192  Date_of_death = Sep2005 
 Loess Fit = 0.1192  Date_of_death = Jul2005 
 Loess Fit = 0.1215  Date_of_death = Jul2005 
 Loess Fit = 0.1215  Date_of_death = Jun2005 
 Loess Fit = 0.1239  Date_of_death = Jun2005 
 Loess Fit = 0.1239  Date_of_death = May2005 
 Loess Fit = 0.1262  Date_of_death = May2005 
 Loess Fit = 0.1262  Date_of_death = Apr2005 
 Loess Fit = 0.1285  Date_of_death = Apr2005 
 Loess Fit = 0.1285  Date_of_death = Mar2005 
 Loess Fit = 0.1308  Date_of_death = Mar2005 
 Loess Fit = 0.1308  Date_of_death = Feb2005 
 Loess Fit = 0.1331  Date_of_death = Feb2005 
 Loess Fit = 0.1331  Date_of_death = Jan2005 
 Loess Fit = 0.1354  Date_of_death = Jan2005 
 Loess Fit = 0.1354  Date_of_death = Dec2004 
 Loess Fit = 0.1377  Date_of_death = Dec2004 
 Loess Fit = 0.1377  Date_of_death = Oct2004 
 Loess Fit = 0.14  Date_of_death = Oct2004 
 Loess Fit = 0.14  Date_of_death = Sep2004 
 Loess Fit = 0.1423  Date_of_death = Sep2004 
 Loess Fit = 0.1423  Date_of_death = Aug2004 
 Loess Fit = 0.1446  Date_of_death = Aug2004 
 Loess Fit = 0.1446  Date_of_death = Jul2004 
 Loess Fit = 0.1469  Date_of_death = Jul2004 
 Loess Fit = 0.1469  Date_of_death = Jun2004 
 Loess Fit = 0.1492  Date_of_death = Jun2004 
 Loess Fit = 0.1492  Date_of_death = May2004 
 Loess Fit = 0.1516  Date_of_death = May2004 
 Loess Fit = 0.1516  Date_of_death = Apr2004 
 Loess Fit = 0.1539  Date_of_death = Apr2004 
 Loess Fit = 0.1539  Date_of_death = Mar2004 
 Loess Fit = 0.1562  Date_of_death = Mar2004 
 Loess Fit = 0.1562  Date_of_death = Jan2004 
 Loess Fit = 0.1585  Date_of_death = Jan2004 
 Loess Fit = 0.1585  Date_of_death = Dec2003 
 Loess Fit = 0.1608  Date_of_death = Dec2003 
 Loess Fit = 0.1608  Date_of_death = Nov2003 
 Loess Fit = 0.1631  Date_of_death = Nov2003 
 Loess Fit = 0.1631  Date_of_death = Oct2003 
 Loess Fit = 0.1654  Date_of_death = Oct2003 
 Loess Fit = 0.1654  Date_of_death = Sep2003 
 Loess Fit = 0.1677  Date_of_death = Sep2003 
 Loess Fit = 0.1677  Date_of_death = Aug2003 
 Loess Fit = 0.17  Date_of_death = Aug2003 
 Loess Fit = 0.17  Date_of_death = Jul2003 
 Loess Fit = 0.1723  Date_of_death = Jul2003 
 Loess Fit = 0.1723  Date_of_death = Jun2003 
 Loess Fit = 0.1746  Date_of_death = Jun2003 
 Loess Fit = 0.1746  Date_of_death = May2003 
 Loess Fit = 0.1769  Date_of_death = May2003 
 Loess Fit = 0.1769  Date_of_death = Mar2003 
 Loess Fit = 0.1792  Date_of_death = Mar2003 
 Loess Fit = 0.1792  Date_of_death = Feb2003 
 Loess Fit = 0.1815  Date_of_death = Feb2003 
 Loess Fit = 0.1815  Date_of_death = Jan2003 
 Loess Fit = 0.1838  Date_of_death = Jan2003 
 Loess Fit = 0.1838  Date_of_death = Dec2002 
 Loess Fit = 0.1861  Date_of_death = Dec2002 
 Loess Fit = 0.1861  Date_of_death = Nov2002 
 Loess Fit = 0.1884  Date_of_death = Nov2002 
 Loess Fit = 0.1884  Date_of_death = Oct2002 
 Loess Fit = 0.1907  Date_of_death = Oct2002 
 Loess Fit = 0.1907  Date_of_death = Sep2002 
 Loess Fit = 0.193  Date_of_death = Sep2002 
 Loess Fit = 0.193  Date_of_death = Aug2002 
 Loess Fit = 0.1953  Date_of_death = Aug2002 
 Loess Fit = 0.1953  Date_of_death = Jun2002 
 Loess Fit = 0.1976  Date_of_death = Jun2002 
 Loess Fit = 0.1976  Date_of_death = May2002 
 Loess Fit = 0.1999  Date_of_death = May2002 
 Loess Fit = 0.1999  Date_of_death = Apr2002 
 Loess Fit = 0.2022  Date_of_death = Apr2002 
 Loess Fit = 0.2022  Date_of_death = Mar2002 
 Loess Fit = 0.2045  Date_of_death = Mar2002 
 Loess Fit = 0.2045  Date_of_death = Feb2002 
 Loess Fit = 0.2068  Date_of_death = Feb2002 
 Loess Fit = 0.2068  Date_of_death = Jan2002 
 Loess Fit = 0.2091  Date_of_death = Jan2002 
 Loess Fit = 0.2091  Date_of_death = Dec2001 
 Loess Fit = 0.2114  Date_of_death = Dec2001 
 Loess Fit = 0.2114  Date_of_death = Nov2001 
 Loess Fit = 0.2137  Date_of_death = Nov2001 
 Loess Fit = 0.2137  Date_of_death = Sep2001 
 Loess Fit = 0.216  Date_of_death = Sep2001 
 Loess Fit = 0.216  Date_of_death = Aug2001 
 Loess Fit = 0.2183  Date_of_death = Aug2001 
 Loess Fit = 0.2183  Date_of_death = Jul2001 
 Loess Fit = 0.2205  Date_of_death = Jul2001 
 Loess Fit = 0.2205  Date_of_death = Jun2001 
 Loess Fit = 0.2228  Date_of_death = Jun2001 
 Loess Fit = 0.2228  Date_of_death = May2001 
 Loess Fit = 0.2251  Date_of_death = May2001 
 Loess Fit = 0.2251  Date_of_death = Apr2001 
 Loess Fit = 0.2274  Date_of_death = Apr2001 
 Loess Fit = 0.2274  Date_of_death = Mar2001 
 Loess Fit = 0.2297  Date_of_death = Mar2001 
 Loess Fit = 0.2297  Date_of_death = Feb2001 
 Loess Fit = 0.232  Date_of_death = Feb2001 
 Loess Fit = 0.232  Date_of_death = Jan2001 
 Loess Fit = 0.2343  Date_of_death = Sep2019 
 Prediction Error = -2.019  Date_of_death = Aug2019 
 Prediction Error = 1.9465  Date_of_death = Jul2019 
 Prediction Error = 2.1231  Date_of_death = Jun2019 
 Prediction Error = 1.7801  Date_of_death = May2019 
 Prediction Error = 1.7326  Date_of_death = Apr2019 
 Prediction Error = 1.9968  Date_of_death = Mar2019 
 Prediction Error = -1.933  Date_of_death = Feb2019 
 Prediction Error = 1.0742  Date_of_death = Jan2019 
 Prediction Error = 1.5036  Date_of_death = Dec2018 
 Prediction Error = -2.074  Date_of_death = Nov2018 
 Prediction Error = -2.163  Date_of_death = Oct2018 
 Prediction Error = -0.199  Date_of_death = Sep2018 
 Prediction Error = -2.231  Date_of_death = Aug2018 
 Prediction Error = -1.152  Date_of_death = Jul2018 
 Prediction Error = 2.3022  Date_of_death = Jun2018 
 Prediction Error = 1.8755  Date_of_death = May2018 
 Prediction Error = -0.355  Date_of_death = Apr2018 
 Prediction Error = -2.148  Date_of_death = Mar2018 
 Prediction Error = -3.185  Date_of_death = Feb2018 
 Prediction Error = -3.163  Date_of_death = Jan2018 
 Prediction Error = 1.7275  Date_of_death = Dec2017 
 Prediction Error = 2.1169  Date_of_death = Nov2017 
 Prediction Error = 1.9794  Date_of_death = Oct2017 
 Prediction Error = 1.9736  Date_of_death = Sep2017 
 Prediction Error = 1.9187  Date_of_death = Aug2017 
 Prediction Error = 1.9482  Date_of_death = Jul2017 
 Prediction Error = -0.823  Date_of_death = Jun2017 
 Prediction Error = 2.0666  Date_of_death = May2017 
 Prediction Error = 1.8053  Date_of_death = Apr2017 
 Prediction Error = -1.227  Date_of_death = Mar2017 
 Prediction Error = 0.9584  Date_of_death = Feb2017 
 Prediction Error = -0.222  Date_of_death = Jan2017 
 Prediction Error = -1.424  Date_of_death = Dec2016 
 Prediction Error = 2.3044  Date_of_death = Nov2016 
 Prediction Error = -1.182  Date_of_death = Oct2016 
 Prediction Error = 2.1431  Date_of_death = Sep2016 
 Prediction Error = -1.244  Date_of_death = Aug2016 
 Prediction Error = -2.218  Date_of_death = Jul2016 
 Prediction Error = -1.998  Date_of_death = Jun2016 
 Prediction Error = -1.02  Date_of_death = May2016 
 Prediction Error = 2.0112  Date_of_death = Apr2016 
 Prediction Error = -2.481  Date_of_death = Mar2016 
 Prediction Error = 1.0872  Date_of_death = Feb2016 
 Prediction Error = -2.424  Date_of_death = Jan2016 
 Prediction Error = 1.7236  Date_of_death = Dec2015 
 Prediction Error = -1.866  Date_of_death = Nov2015 
 Prediction Error = -2.403  Date_of_death = Oct2015 
 Prediction Error = -0.886  Date_of_death = Sep2015 
 Prediction Error = 1.9761  Date_of_death = Aug2015 
 Prediction Error = 1.961  Date_of_death = Jul2015 
 Prediction Error = 2.1836  Date_of_death = Jun2015 
 Prediction Error = -2.277  Date_of_death = May2015 
 Prediction Error = 2.2744  Date_of_death = Apr2015 
 Prediction Error = 1.6223  Date_of_death = Mar2015 
 Prediction Error = -3.183  Date_of_death = Feb2015 
 Prediction Error = -3.741  Date_of_death = Jan2015 
 Prediction Error = -0.221  Date_of_death = Dec2014 
 Prediction Error = 2.3907  Date_of_death = Nov2014 
 Prediction Error = 1.7397  Date_of_death = Oct2014 
 Prediction Error = -2.13  Date_of_death = Sep2014 
 Prediction Error = -2.231  Date_of_death = Aug2014 
 Prediction Error = -2.246  Date_of_death = Jul2014 
 Prediction Error = 0.2653  Date_of_death = Jun2014 
 Prediction Error = 1.8592  Date_of_death = May2014 
 Prediction Error = -0.845  Date_of_death = Apr2014 
 Prediction Error = 1.845  Date_of_death = Mar2014 
 Prediction Error = 0.9317  Date_of_death = Feb2014 
 Prediction Error = 0.2742  Date_of_death = Jan2014 
 Prediction Error = -2.484  Date_of_death = Dec2013 
 Prediction Error = 1.5434  Date_of_death = Nov2013 
 Prediction Error = -1.378  Date_of_death = Oct2013 
 Prediction Error = -2.304  Date_of_death = Sep2013 
 Prediction Error = -2.404  Date_of_death = Aug2013 
 Prediction Error = 1.9639  Date_of_death = Jul2013 
 Prediction Error = -1.965  Date_of_death = Jun2013 
 Prediction Error = 2.0882  Date_of_death = May2013 
 Prediction Error = -2.09  Date_of_death = Apr2013 
 Prediction Error = 2.0493  Date_of_death = Mar2013 
 Prediction Error = 1.0021  Date_of_death = Feb2013 
 Prediction Error = 0.3245  Date_of_death = Jan2013 
 Prediction Error = 1.6491  Date_of_death = Dec2012 
 Prediction Error = -0.507  Date_of_death = Nov2012 
 Prediction Error = -2.601  Date_of_death = Oct2012 
 Prediction Error = -2.494  Date_of_death = Sep2012 
 Prediction Error = 1.7745  Date_of_death = Aug2012 
 Prediction Error = -1.143  Date_of_death = Jul2012 
 Prediction Error = -1.086  Date_of_death = Jun2012 
 Prediction Error = -2.08  Date_of_death = May2012 
 Prediction Error = -2.322  Date_of_death = Apr2012 
 Prediction Error = 2.2875  Date_of_death = Mar2012 
 Prediction Error = 1.0813  Date_of_death = Feb2012 
 Prediction Error = 0.3244  Date_of_death = Jan2012 
 Prediction Error = -2.605  Date_of_death = Dec2011 
 Prediction Error = 2.8442  Date_of_death = Nov2011 
 Prediction Error = -2.9  Date_of_death = Oct2011 
 Prediction Error = -2.773  Date_of_death = Sep2011 
 Prediction Error = -2.436  Date_of_death = Aug2011 
 Prediction Error = 0.9978  Date_of_death = Jul2011 
 Prediction Error = 2.1522  Date_of_death = Jun2011 
 Prediction Error = -1.199  Date_of_death = May2011 
 Prediction Error = -2.608  Date_of_death = Apr2011 
 Prediction Error = -1.896  Date_of_death = Mar2011 
 Prediction Error = 1.224  Date_of_death = Feb2011 
 Prediction Error = 0.3821  Date_of_death = Jan2011 
 Prediction Error = 1.5169  Date_of_death = Dec2010 
 Prediction Error = 3.2133  Date_of_death = Nov2010 
 Prediction Error = 1.237  Date_of_death = Oct2010 
 Prediction Error = 1.3933  Date_of_death = Sep2010 
 Prediction Error = 1.7288  Date_of_death = Aug2010 
 Prediction Error = 2.1996  Date_of_death = Jul2010 
 Prediction Error = -2.082  Date_of_death = Jun2010 
 Prediction Error = 2.0741  Date_of_death = May2010 
 Prediction Error = 1.5655  Date_of_death = Apr2010 
 Prediction Error = -2.159  Date_of_death = Mar2010 
 Prediction Error = 0.2677  Date_of_death = Feb2010 
 Prediction Error = 0.4078  Date_of_death = Jan2010 
 Prediction Error = 1.6615  Date_of_death = Dec2009 
 Prediction Error = 3.6075  Date_of_death = Nov2009 
 Prediction Error = 1.3507  Date_of_death = Oct2009 
 Prediction Error = 1.5442  Date_of_death = Sep2009 
 Prediction Error = -2.611  Date_of_death = Aug2009 
 Prediction Error = 2.5372  Date_of_death = Jul2009 
 Prediction Error = -2.404  Date_of_death = Jun2009 
 Prediction Error = -2.176  Date_of_death = May2009 
 Prediction Error = 1.8174  Date_of_death = Apr2009 
 Prediction Error = 2.0644  Date_of_death = Mar2009 
 Prediction Error = -3.118  Date_of_death = Feb2009 
 Prediction Error = 0.4705  Date_of_death = Jan2009 
 Prediction Error = -2.691  Date_of_death = Dec2008 
 Prediction Error = 1.8484  Date_of_death = Nov2008 
 Prediction Error = -3.062  Date_of_death = Oct2008 
 Prediction Error = 1.8194  Date_of_death = Sep2008 
 Prediction Error = 1.5488  Date_of_death = Aug2008 
 Prediction Error = 2.9156  Date_of_death = Jul2008 
 Prediction Error = 1.8244  Date_of_death = Jun2008 
 Prediction Error = -2.525  Date_of_death = May2008 
 Prediction Error = -2.498  Date_of_death = Apr2008 
 Prediction Error = 2.4162  Date_of_death = Mar2008 
 Prediction Error = 0.9852  Date_of_death = Feb2008 
 Prediction Error = -4.019  Date_of_death = Jan2008 
 Prediction Error = 1.5137  Date_of_death = Dec2007 
 Prediction Error = -0.158  Date_of_death = Nov2007 
 Prediction Error = 1.0711  Date_of_death = Oct2007 
 Prediction Error = 2.0877  Date_of_death = Sep2007 
 Prediction Error = 1.7528  Date_of_death = Aug2007 
 Prediction Error = -1.289  Date_of_death = Jul2007 
 Prediction Error = 2.1509  Date_of_death = Jun2007 
 Prediction Error = 1.7193  Date_of_death = May2007 
 Prediction Error = -2.935  Date_of_death = Apr2007 
 Prediction Error = -1.825  Date_of_death = Mar2007 
 Prediction Error = 1.1958  Date_of_death = Feb2007 
 Prediction Error = -0.045  Date_of_death = Jan2007 
 Prediction Error = -2.883  Date_of_death = Dec2006 
 Prediction Error = -0.176  Date_of_death = Nov2006 
 Prediction Error = -2.297  Date_of_death = Oct2006 
 Prediction Error = 2.4676  Date_of_death = Sep2006 
 Prediction Error = -2.661  Date_of_death = Aug2006 
 Prediction Error = -0.343  Date_of_death = Jul2006 
 Prediction Error = 2.5302  Date_of_death = Jun2006 
 Prediction Error = -2.687  Date_of_death = May2006 
 Prediction Error = 1.2927  Date_of_death = Apr2006 
 Prediction Error = -2.176  Date_of_death = Mar2006 
 Prediction Error = -3.3  Date_of_death = Feb2006 
 Prediction Error = -0.007  Date_of_death = Jan2006 
 Prediction Error = 1.3221  Date_of_death = Dec2005 
 Prediction Error = -0.203  Date_of_death = Nov2005 
 Prediction Error = 0.8343  Date_of_death = Oct2005 
 Prediction Error = -1.843  Date_of_death = Sep2005 
 Prediction Error = 1.6375  Date_of_death = Aug2005 
 Prediction Error = 3.1949  Date_of_death = Jul2005 
 Prediction Error = -0.567  Date_of_death = Jun2005 
 Prediction Error = 1.5867  Date_of_death = May2005 
 Prediction Error = 1.5773  Date_of_death = Apr2005 
 Prediction Error = -1.41  Date_of_death = Mar2005 
 Prediction Error = -3.997  Date_of_death = Feb2005 
 Prediction Error = 0.004  Date_of_death = Jan2005 
 Prediction Error = 1.6061  Date_of_death = Dec2004 
 Prediction Error = -0.271  Date_of_death = Nov2004 
 Prediction Error = -3.98  Date_of_death = Oct2004 
 Prediction Error = 2.7278  Date_of_death = Sep2004 
 Prediction Error = 2.031  Date_of_death = Aug2004 
 Prediction Error = -1.021  Date_of_death = Jul2004 
 Prediction Error = -1.983  Date_of_death = Jun2004 
 Prediction Error = 1.9999  Date_of_death = May2004 
 Prediction Error = 1.9908  Date_of_death = Apr2004 
 Prediction Error = 2.0246  Date_of_death = Mar2004 
 Prediction Error = -0.006  Date_of_death = Feb2004 
 Prediction Error = -0.006  Date_of_death = Jan2004 
 Prediction Error = -3.018  Date_of_death = Dec2003 
 Prediction Error = -0.326  Date_of_death = Nov2003 
 Prediction Error = 0.0114  Date_of_death = Oct2003 
 Prediction Error = 3.6509  Date_of_death = Sep2003 
 Prediction Error = -2.651  Date_of_death = Aug2003 
 Prediction Error = -1.35  Date_of_death = Jul2003 
 Prediction Error = 2.701  Date_of_death = Jun2003 
 Prediction Error = 2.6638  Date_of_death = May2003 
 Prediction Error = 2.6515  Date_of_death = Apr2003 
 Prediction Error = -2.663  Date_of_death = Mar2003 
 Prediction Error = 0.0015  Date_of_death = Feb2003 
 Prediction Error = 0.0102  Date_of_death = Jan2003 
 Prediction Error = 1.3199  Date_of_death = Dec2002 
 Prediction Error = -0.496  Date_of_death = Nov2002 
 Prediction Error = -0.001  Date_of_death = Oct2002 
 Prediction Error = -0.512  Date_of_death = Sep2002 
 Prediction Error = -3.989  Date_of_death = Aug2002 
 Prediction Error = 3.9918  Date_of_death = Jul2002 
 Prediction Error = -1.983  Date_of_death = Jun2002 
 Prediction Error = 4.0072  Date_of_death = May2002 
 Prediction Error = 4.0021  Date_of_death = Apr2002 
 Prediction Error = 2.0062  Date_of_death = Mar2002 
 Prediction Error = -0.003  Date_of_death = Feb2002 
 Prediction Error = 0.0083  Date_of_death = Jan2002 
 Prediction Error = 1.9922  Date_of_death = Dec2001 
 Prediction Error = -1  Date_of_death = Nov2001 
 Prediction Error = 0.0016  Date_of_death = Oct2001 
 Prediction Error = 1  Date_of_death = Sep2001 
 Prediction Error = -97E-7  Date_of_death = Aug2001 
 Prediction Error = -0.006  Date_of_death = Jul2001 
 Prediction Error = -4  Date_of_death = Jun2001 
 Prediction Error = -97E-7  Date_of_death = May2001 
 Prediction Error = -0.006  Date_of_death = Apr2001 
 Prediction Error = -4  Date_of_death = Mar2001 
 Prediction Error = 9.7E-6  Date_of_death = Feb2001 
 Prediction Error = 0.0062  Date_of_death = Jan2001 
 Prediction Error = 4  Date_of_death = Sep2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Aug2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Aug2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Jul2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Jul2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Jun2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Jun2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = May2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = May2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Apr2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Apr2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Mar2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Mar2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Feb2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Feb2019 
 2*STD = 3.8768 
 -2*STD = -3.877  Date_of_death = Jan2019 
 2*STD = 3.8769 
 -2*STD = -3.877  Date_of_death = Jan2019 
 2*STD = 3.8769 
 -2*STD = -3.877  Date_of_death = Dec2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Dec2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Nov2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Nov2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Oct2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Oct2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Sep2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Sep2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Aug2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Aug2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Jul2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Jul2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Jun2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Jun2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = May2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = May2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Apr2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Apr2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Mar2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Mar2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Feb2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Feb2018 
 2*STD = 3.8798 
 -2*STD = -3.88  Date_of_death = Jan2018 
 2*STD = 3.8799 
 -2*STD = -3.88  Date_of_death = Jan2018 
 2*STD = 3.8799 
 -2*STD = -3.88  Date_of_death = Dec2017 
 2*STD = 3.8833 
 -2*STD = -3.883  Date_of_death = Dec2017 
 2*STD = 3.8833 
 -2*STD = -3.883  Date_of_death = Nov2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Nov2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Oct2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Oct2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Sep2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Sep2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Aug2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Aug2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Jul2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Jul2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Jun2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Jun2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = May2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = May2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Apr2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Apr2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Mar2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Mar2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Feb2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Feb2017 
 2*STD = 3.8834 
 -2*STD = -3.883  Date_of_death = Jan2017 
 2*STD = 3.8835 
 -2*STD = -3.883  Date_of_death = Jan2017 
 2*STD = 3.8835 
 -2*STD = -3.883  Date_of_death = Dec2016 
 2*STD = 3.8875 
 -2*STD = -3.887  Date_of_death = Dec2016 
 2*STD = 3.8875 
 -2*STD = -3.887  Date_of_death = Nov2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Nov2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Oct2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Oct2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Sep2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Sep2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Aug2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Aug2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Jul2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Jul2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Jun2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Jun2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = May2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = May2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Apr2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Apr2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Mar2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Mar2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Feb2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Feb2016 
 2*STD = 3.8875 
 -2*STD = -3.888  Date_of_death = Jan2016 
 2*STD = 3.8876 
 -2*STD = -3.888  Date_of_death = Jan2016 
 2*STD = 3.8876 
 -2*STD = -3.888  Date_of_death = Dec2015 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Dec2015 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Nov2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Nov2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Oct2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Oct2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Sep2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Sep2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Aug2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Aug2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Jul2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Jul2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Jun2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Jun2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = May2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = May2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Apr2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Apr2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Mar2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Mar2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Feb2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Feb2015 
 2*STD = 3.8925 
 -2*STD = -3.892  Date_of_death = Jan2015 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = Jan2015 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = Dec2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Dec2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Nov2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Nov2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Oct2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Oct2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Sep2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Sep2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Aug2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Aug2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Jul2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Jul2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Jun2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Jun2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = May2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = May2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Apr2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Apr2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Mar2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Mar2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Feb2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Feb2014 
 2*STD = 3.8983 
 -2*STD = -3.898  Date_of_death = Jan2014 
 2*STD = 3.8984 
 -2*STD = -3.898  Date_of_death = Jan2014 
 2*STD = 3.8984 
 -2*STD = -3.898  Date_of_death = Dec2013 
 2*STD = 3.9053 
 -2*STD = -3.905  Date_of_death = Dec2013 
 2*STD = 3.9053 
 -2*STD = -3.905  Date_of_death = Nov2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Nov2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Oct2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Oct2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Sep2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Sep2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Aug2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Aug2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jul2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jul2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jun2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jun2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = May2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = May2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Apr2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Apr2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Mar2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Mar2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Feb2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Feb2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jan2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Jan2013 
 2*STD = 3.9054 
 -2*STD = -3.905  Date_of_death = Dec2012 
 2*STD = 3.9138 
 -2*STD = -3.914  Date_of_death = Dec2012 
 2*STD = 3.9138 
 -2*STD = -3.914  Date_of_death = Nov2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Nov2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Oct2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Oct2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Sep2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Sep2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Aug2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Aug2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Jul2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Jul2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Jun2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Jun2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = May2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = May2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Apr2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Apr2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Mar2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Mar2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Feb2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Feb2012 
 2*STD = 3.9139 
 -2*STD = -3.914  Date_of_death = Jan2012 
 2*STD = 3.914 
 -2*STD = -3.914  Date_of_death = Jan2012 
 2*STD = 3.914 
 -2*STD = -3.914  Date_of_death = Dec2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Dec2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Nov2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Nov2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Oct2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Oct2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Sep2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Sep2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Aug2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Aug2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Jul2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Jul2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Jun2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Jun2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = May2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = May2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Apr2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Apr2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Mar2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Mar2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Feb2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Feb2011 
 2*STD = 3.9243 
 -2*STD = -3.924  Date_of_death = Jan2011 
 2*STD = 3.9244 
 -2*STD = -3.924  Date_of_death = Jan2011 
 2*STD = 3.9244 
 -2*STD = -3.924  Date_of_death = Dec2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Dec2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Nov2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Nov2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Oct2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Oct2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Sep2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Sep2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Aug2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Aug2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Jul2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Jul2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Jun2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Jun2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = May2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = May2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Apr2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Apr2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Mar2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Mar2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Feb2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Feb2010 
 2*STD = 3.9373 
 -2*STD = -3.937  Date_of_death = Jan2010 
 2*STD = 3.9374 
 -2*STD = -3.937  Date_of_death = Jan2010 
 2*STD = 3.9374 
 -2*STD = -3.937  Date_of_death = Dec2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Dec2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Nov2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Nov2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Oct2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Oct2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Sep2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Sep2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Aug2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Aug2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Jul2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Jul2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Jun2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Jun2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = May2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = May2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Apr2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Apr2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Mar2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Mar2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Feb2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Feb2009 
 2*STD = 3.9537 
 -2*STD = -3.954  Date_of_death = Jan2009 
 2*STD = 3.9538 
 -2*STD = -3.954  Date_of_death = Jan2009 
 2*STD = 3.9538 
 -2*STD = -3.954  Date_of_death = Dec2008 
 2*STD = 3.9747 
 -2*STD = -3.975  Date_of_death = Dec2008 
 2*STD = 3.9747 
 -2*STD = -3.975  Date_of_death = Nov2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Nov2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Oct2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Oct2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Sep2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Sep2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Aug2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Aug2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jul2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jul2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jun2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jun2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = May2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = May2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Apr2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Apr2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Mar2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Mar2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Feb2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Feb2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jan2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Jan2008 
 2*STD = 3.9748 
 -2*STD = -3.975  Date_of_death = Dec2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Dec2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Nov2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Nov2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Oct2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Oct2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Sep2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Sep2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Aug2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Aug2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Jul2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Jul2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Jun2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Jun2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = May2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = May2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Apr2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Apr2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Mar2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Mar2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Feb2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Feb2007 
 2*STD = 4.0025 
 -2*STD = -4.002  Date_of_death = Jan2007 
 2*STD = 4.0025 
 -2*STD = -4.003  Date_of_death = Jan2007 
 2*STD = 4.0025 
 -2*STD = -4.003  Date_of_death = Dec2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Dec2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Nov2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Nov2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Oct2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Oct2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Sep2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Sep2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Aug2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Aug2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jul2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jul2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jun2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jun2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = May2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = May2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Apr2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Apr2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Mar2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Mar2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Feb2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Feb2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jan2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Jan2006 
 2*STD = 4.0401 
 -2*STD = -4.04  Date_of_death = Dec2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Dec2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Nov2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Nov2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Oct2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Oct2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Sep2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Sep2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Aug2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Aug2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jul2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jul2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jun2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jun2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = May2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = May2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Apr2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Apr2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Mar2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Mar2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Feb2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Feb2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jan2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Jan2005 
 2*STD = 4.0934 
 -2*STD = -4.093  Date_of_death = Dec2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Dec2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Nov2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Nov2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Oct2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Oct2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Sep2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Sep2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Aug2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Aug2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jul2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jul2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jun2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jun2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = May2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = May2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Apr2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Apr2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Mar2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Mar2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Feb2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Feb2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jan2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Jan2004 
 2*STD = 4.1737 
 -2*STD = -4.174  Date_of_death = Dec2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Dec2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Nov2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Nov2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Oct2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Oct2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Sep2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Sep2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Aug2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Aug2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jul2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jul2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jun2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jun2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = May2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = May2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Apr2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Apr2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Mar2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Mar2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Feb2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Feb2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jan2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Jan2003 
 2*STD = 4.3062 
 -2*STD = -4.306  Date_of_death = Dec2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Dec2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Nov2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Nov2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Oct2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Oct2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Sep2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Sep2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Aug2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Aug2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Jul2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Jul2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Jun2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Jun2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = May2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = May2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Apr2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Apr2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Mar2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Mar2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Feb2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Feb2002 
 2*STD = 4.5627 
 -2*STD = -4.563  Date_of_death = Jan2002 
 2*STD = 4.5628 
 -2*STD = -4.563  Date_of_death = Jan2002 
 2*STD = 4.5628 
 -2*STD = -4.563  Date_of_death = Dec2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Dec2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Nov2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Nov2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Oct2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Oct2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Sep2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Sep2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Aug2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Aug2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Jul2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Jul2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Jun2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Jun2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = May2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = May2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Apr2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Apr2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Mar2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Mar2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Feb2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Feb2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Date_of_death = Jan2001 
 2*STD = 5.2632 
 -2*STD = -5.263  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 OCT2019 3.244927 1.93841 -0.554277 7.044131
239 NOV2019 3.012830 1.93865 -0.786845 6.812506
240 DEC2019 2.880465 1.93861 -0.919148 6.680077
241 JAN2020 3.604917 1.93740 -0.192308 7.402143
242 FEB2020 4.039041 1.93736 0.241892 7.836191
243 MAR2020 3.745257 1.93736 -0.051891 7.542405
244 APR2020 3.138589 1.93736 -0.658559 6.935737
245 MAY2020 3.380387 1.93736 -0.416761 7.177535
246 JUN2020 3.332220 1.93736 -0.464928 7.129368
247 JUL2020 3.023305 1.93736 -0.773843 6.820453
248 AUG2020 3.241055 1.93736 -0.556094 7.038205
249 SEP2020 2.854405 1.93756 -0.943143 6.651953

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 2.8544  Date_of_death = Aug2020 
 Forecast = 3.2411  Date_of_death = Aug2020 
 Forecast = 3.2411  Date_of_death = Jul2020 
 Forecast = 3.0233  Date_of_death = Jul2020 
 Forecast = 3.0233  Date_of_death = Jun2020 
 Forecast = 3.3322  Date_of_death = Jun2020 
 Forecast = 3.3322  Date_of_death = May2020 
 Forecast = 3.3804  Date_of_death = May2020 
 Forecast = 3.3804  Date_of_death = Apr2020 
 Forecast = 3.1386  Date_of_death = Apr2020 
 Forecast = 3.1386  Date_of_death = Mar2020 
 Forecast = 3.7453  Date_of_death = Mar2020 
 Forecast = 3.7453  Date_of_death = Feb2020 
 Forecast = 4.0390  Date_of_death = Feb2020 
 Forecast = 4.0390  Date_of_death = Jan2020 
 Forecast = 3.6049  Date_of_death = Jan2020 
 Forecast = 3.6049  Date_of_death = Dec2019 
 Forecast = 2.8805  Date_of_death = Dec2019 
 Forecast = 2.8805  Date_of_death = Nov2019 
 Forecast = 3.0128  Date_of_death = Nov2019 
 Forecast = 3.0128  Date_of_death = Oct2019 
 Forecast = 3.2449  Date_of_death = Sep2020 
 Upper 95% = 6.6520 
 Lower 95% = -0.9431  Date_of_death = Aug2020 
 Upper 95% = 7.0382 
 Lower 95% = -0.5561  Date_of_death = Aug2020 
 Upper 95% = 7.0382 
 Lower 95% = -0.5561  Date_of_death = Jul2020 
 Upper 95% = 6.8205 
 Lower 95% = -0.7738  Date_of_death = Jul2020 
 Upper 95% = 6.8205 
 Lower 95% = -0.7738  Date_of_death = Jun2020 
 Upper 95% = 7.1294 
 Lower 95% = -0.4649  Date_of_death = Jun2020 
 Upper 95% = 7.1294 
 Lower 95% = -0.4649  Date_of_death = May2020 
 Upper 95% = 7.1775 
 Lower 95% = -0.4168  Date_of_death = May2020 
 Upper 95% = 7.1775 
 Lower 95% = -0.4168  Date_of_death = Apr2020 
 Upper 95% = 6.9357 
 Lower 95% = -0.6586  Date_of_death = Apr2020 
 Upper 95% = 6.9357 
 Lower 95% = -0.6586  Date_of_death = Mar2020 
 Upper 95% = 7.5424 
 Lower 95% = -0.0519  Date_of_death = Mar2020 
 Upper 95% = 7.5424 
 Lower 95% = -0.0519  Date_of_death = Feb2020 
 Upper 95% = 7.8362 
 Lower 95% = 0.2419  Date_of_death = Feb2020 
 Upper 95% = 7.8362 
 Lower 95% = 0.2419  Date_of_death = Jan2020 
 Upper 95% = 7.4021 
 Lower 95% = -0.1923  Date_of_death = Jan2020 
 Upper 95% = 7.4021 
 Lower 95% = -0.1923  Date_of_death = Dec2019 
 Upper 95% = 6.6801 
 Lower 95% = -0.9191  Date_of_death = Dec2019 
 Upper 95% = 6.6801 
 Lower 95% = -0.9191  Date_of_death = Nov2019 
 Upper 95% = 6.8125 
 Lower 95% = -0.7868  Date_of_death = Nov2019 
 Upper 95% = 6.8125 
 Lower 95% = -0.7868  Date_of_death = Oct2019 
 Upper 95% = 7.0441 
 Lower 95% = -0.5543
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 2.8544  Date_of_death = Aug2020 
 Forecast = 3.2411  Date_of_death = Aug2020 
 Forecast = 3.2411  Date_of_death = Jul2020 
 Forecast = 3.0233  Date_of_death = Jul2020 
 Forecast = 3.0233  Date_of_death = Jun2020 
 Forecast = 3.3322  Date_of_death = Jun2020 
 Forecast = 3.3322  Date_of_death = May2020 
 Forecast = 3.3804  Date_of_death = May2020 
 Forecast = 3.3804  Date_of_death = Apr2020 
 Forecast = 3.1386  Date_of_death = Apr2020 
 Forecast = 3.1386  Date_of_death = Mar2020 
 Forecast = 3.7453  Date_of_death = Mar2020 
 Forecast = 3.7453  Date_of_death = Feb2020 
 Forecast = 4.0390  Date_of_death = Feb2020 
 Forecast = 4.0390  Date_of_death = Jan2020 
 Forecast = 3.6049  Date_of_death = Jan2020 
 Forecast = 3.6049  Date_of_death = Dec2019 
 Forecast = 2.8805  Date_of_death = Dec2019 
 Forecast = 2.8805  Date_of_death = Nov2019 
 Forecast = 3.0128  Date_of_death = Nov2019 
 Forecast = 3.0128  Date_of_death = Oct2019 
 Forecast = 3.2449  Date_of_death = Oct2019 
 Forecast = 3.2449  Date_of_death = Sep2019 
 Forecast = 3.0186  Date_of_death = Sep2019 
 Forecast = 3.0186  Date_of_death = Aug2019 
 Forecast = 3.0535  Date_of_death = Aug2019 
 Forecast = 3.0535  Date_of_death = Jul2019 
 Forecast = 2.8769  Date_of_death = Jul2019 
 Forecast = 2.8769  Date_of_death = Jun2019 
 Forecast = 3.2199  Date_of_death = Jun2019 
 Forecast = 3.2199  Date_of_death = May2019 
 Forecast = 3.2674  Date_of_death = May2019 
 Forecast = 3.2674  Date_of_death = Apr2019 
 Forecast = 3.0032  Date_of_death = Apr2019 
 Forecast = 3.0032  Date_of_death = Mar2019 
 Forecast = 3.9332  Date_of_death = Mar2019 
 Forecast = 3.9332  Date_of_death = Feb2019 
 Forecast = 3.9258  Date_of_death = Feb2019 
 Forecast = 3.9258  Date_of_death = Jan2019 
 Forecast = 3.4964  Date_of_death = Jan2019 
 Forecast = 3.4964  Date_of_death = Dec2018 
 Forecast = 3.0742  Date_of_death = Dec2018 
 Forecast = 3.0742  Date_of_death = Nov2018 
 Forecast = 3.1627  Date_of_death = Nov2018 
 Forecast = 3.1627  Date_of_death = Oct2018 
 Forecast = 3.1994  Date_of_death = Oct2018 
 Forecast = 3.1994  Date_of_death = Sep2018 
 Forecast = 3.2309  Date_of_death = Sep2018 
 Forecast = 3.2309  Date_of_death = Aug2018 
 Forecast = 3.1523  Date_of_death = Aug2018 
 Forecast = 3.1523  Date_of_death = Jul2018 
 Forecast = 2.6978  Date_of_death = Jul2018 
 Forecast = 2.6978  Date_of_death = Jun2018 
 Forecast = 3.1245  Date_of_death = Jun2018 
 Forecast = 3.1245  Date_of_death = May2018 
 Forecast = 3.3550  Date_of_death = May2018 
 Forecast = 3.3550  Date_of_death = Apr2018 
 Forecast = 3.1483  Date_of_death = Apr2018 
 Forecast = 3.1483  Date_of_death = Mar2018 
 Forecast = 4.1845  Date_of_death = Mar2018 
 Forecast = 4.1845  Date_of_death = Feb2018 
 Forecast = 4.1631  Date_of_death = Feb2018 
 Forecast = 4.1631  Date_of_death = Jan2018 
 Forecast = 3.2725  Date_of_death = Jan2018 
 Forecast = 3.2725  Date_of_death = Dec2017 
 Forecast = 2.8831  Date_of_death = Dec2017 
 Forecast = 2.8831  Date_of_death = Nov2017 
 Forecast = 3.0206  Date_of_death = Nov2017 
 Forecast = 3.0206  Date_of_death = Oct2017 
 Forecast = 3.0264  Date_of_death = Oct2017 
 Forecast = 3.0264  Date_of_death = Sep2017 
 Forecast = 3.0813  Date_of_death = Sep2017 
 Forecast = 3.0813  Date_of_death = Aug2017 
 Forecast = 3.0518  Date_of_death = Aug2017 
 Forecast = 3.0518  Date_of_death = Jul2017 
 Forecast = 2.8235  Date_of_death = Jul2017 
 Forecast = 2.8235  Date_of_death = Jun2017 
 Forecast = 2.9334  Date_of_death = Jun2017 
 Forecast = 2.9334  Date_of_death = May2017 
 Forecast = 3.1947  Date_of_death = May2017 
 Forecast = 3.1947  Date_of_death = Apr2017 
 Forecast = 3.2270  Date_of_death = Apr2017 
 Forecast = 3.2270  Date_of_death = Mar2017 
 Forecast = 4.0416  Date_of_death = Mar2017 
 Forecast = 4.0416  Date_of_death = Feb2017 
 Forecast = 4.2218  Date_of_death = Feb2017 
 Forecast = 4.2218  Date_of_death = Jan2017 
 Forecast = 3.4235  Date_of_death = Jan2017 
 Forecast = 3.4235  Date_of_death = Dec2016 
 Forecast = 2.6956  Date_of_death = Dec2016 
 Forecast = 2.6956  Date_of_death = Nov2016 
 Forecast = 3.1820  Date_of_death = Nov2016 
 Forecast = 3.1820  Date_of_death = Oct2016 
 Forecast = 2.8569  Date_of_death = Oct2016 
 Forecast = 2.8569  Date_of_death = Sep2016 
 Forecast = 3.2442  Date_of_death = Sep2016 
 Forecast = 3.2442  Date_of_death = Aug2016 
 Forecast = 3.2179  Date_of_death = Aug2016 
 Forecast = 3.2179  Date_of_death = Jul2016 
 Forecast = 2.9982  Date_of_death = Jul2016 
 Forecast = 2.9982  Date_of_death = Jun2016 
 Forecast = 3.0199  Date_of_death = Jun2016 
 Forecast = 3.0199  Date_of_death = May2016 
 Forecast = 2.9888  Date_of_death = May2016 
 Forecast = 2.9888  Date_of_death = Apr2016 
 Forecast = 3.4805  Date_of_death = Apr2016 
 Forecast = 3.4805  Date_of_death = Mar2016 
 Forecast = 3.9128  Date_of_death = Mar2016 
 Forecast = 3.9128  Date_of_death = Feb2016 
 Forecast = 4.4241  Date_of_death = Feb2016 
 Forecast = 4.4241  Date_of_death = Jan2016 
 Forecast = 3.2764  Date_of_death = Jan2016 
 Forecast = 3.2764  Date_of_death = Dec2015 
 Forecast = 2.8657  Date_of_death = Dec2015 
 Forecast = 2.8657  Date_of_death = Nov2015 
 Forecast = 3.4026  Date_of_death = Nov2015 
 Forecast = 3.4026  Date_of_death = Oct2015 
 Forecast = 2.8858  Date_of_death = Oct2015 
 Forecast = 2.8858  Date_of_death = Sep2015 
 Forecast = 3.0239  Date_of_death = Sep2015 
 Forecast = 3.0239  Date_of_death = Aug2015 
 Forecast = 3.0390  Date_of_death = Aug2015 
 Forecast = 3.0390  Date_of_death = Jul2015 
 Forecast = 2.8164  Date_of_death = Jul2015 
 Forecast = 2.8164  Date_of_death = Jun2015 
 Forecast = 3.2774  Date_of_death = Jun2015 
 Forecast = 3.2774  Date_of_death = May2015 
 Forecast = 2.7256  Date_of_death = May2015 
 Forecast = 2.7256  Date_of_death = Apr2015 
 Forecast = 3.3777  Date_of_death = Apr2015 
 Forecast = 3.3777  Date_of_death = Mar2015 
 Forecast = 4.1830  Date_of_death = Mar2015 
 Forecast = 4.1830  Date_of_death = Feb2015 
 Forecast = 4.7409  Date_of_death = Feb2015 
 Forecast = 4.7409  Date_of_death = Jan2015 
 Forecast = 3.2209  Date_of_death = Jan2015 
 Forecast = 3.2209  Date_of_death = Dec2014 
 Forecast = 2.6093  Date_of_death = Dec2014 
 Forecast = 2.6093  Date_of_death = Nov2014 
 Forecast = 3.2603  Date_of_death = Nov2014 
 Forecast = 3.2603  Date_of_death = Oct2014 
 Forecast = 3.1300  Date_of_death = Oct2014 
 Forecast = 3.1300  Date_of_death = Sep2014 
 Forecast = 3.2314  Date_of_death = Sep2014 
 Forecast = 3.2314  Date_of_death = Aug2014 
 Forecast = 3.2457  Date_of_death = Aug2014 
 Forecast = 3.2457  Date_of_death = Jul2014 
 Forecast = 2.7347  Date_of_death = Jul2014 
 Forecast = 2.7347  Date_of_death = Jun2014 
 Forecast = 3.1408  Date_of_death = Jun2014 
 Forecast = 3.1408  Date_of_death = May2014 
 Forecast = 2.8453  Date_of_death = May2014 
 Forecast = 2.8453  Date_of_death = Apr2014 
 Forecast = 3.1550  Date_of_death = Apr2014 
 Forecast = 3.1550  Date_of_death = Mar2014 
 Forecast = 4.0683  Date_of_death = Mar2014 
 Forecast = 4.0683  Date_of_death = Feb2014 
 Forecast = 4.7258  Date_of_death = Feb2014 
 Forecast = 4.7258  Date_of_death = Jan2014 
 Forecast = 3.4842  Date_of_death = Jan2014 
 Forecast = 3.4842  Date_of_death = Dec2013 
 Forecast = 2.4566  Date_of_death = Dec2013 
 Forecast = 2.4566  Date_of_death = Nov2013 
 Forecast = 3.3784  Date_of_death = Nov2013 
 Forecast = 3.3784  Date_of_death = Oct2013 
 Forecast = 3.3037  Date_of_death = Oct2013 
 Forecast = 3.3037  Date_of_death = Sep2013 
 Forecast = 3.4040  Date_of_death = Sep2013 
 Forecast = 3.4040  Date_of_death = Aug2013 
 Forecast = 3.0361  Date_of_death = Aug2013 
 Forecast = 3.0361  Date_of_death = Jul2013 
 Forecast = 2.9654  Date_of_death = Jul2013 
 Forecast = 2.9654  Date_of_death = Jun2013 
 Forecast = 2.9118  Date_of_death = Jun2013 
 Forecast = 2.9118  Date_of_death = May2013 
 Forecast = 3.0898  Date_of_death = May2013 
 Forecast = 3.0898  Date_of_death = Apr2013 
 Forecast = 2.9507  Date_of_death = Apr2013 
 Forecast = 2.9507  Date_of_death = Mar2013 
 Forecast = 3.9979  Date_of_death = Mar2013 
 Forecast = 3.9979  Date_of_death = Feb2013 
 Forecast = 4.6755  Date_of_death = Feb2013 
 Forecast = 4.6755  Date_of_death = Jan2013 
 Forecast = 3.3509  Date_of_death = Jan2013 
 Forecast = 3.3509  Date_of_death = Dec2012 
 Forecast = 2.5067  Date_of_death = Dec2012 
 Forecast = 2.5067  Date_of_death = Nov2012 
 Forecast = 3.6013  Date_of_death = Nov2012 
 Forecast = 3.6013  Date_of_death = Oct2012 
 Forecast = 3.4936  Date_of_death = Oct2012 
 Forecast = 3.4936  Date_of_death = Sep2012 
 Forecast = 3.2255  Date_of_death = Sep2012 
 Forecast = 3.2255  Date_of_death = Aug2012 
 Forecast = 3.1430  Date_of_death = Aug2012 
 Forecast = 3.1430  Date_of_death = Jul2012 
 Forecast = 3.0862  Date_of_death = Jul2012 
 Forecast = 3.0862  Date_of_death = Jun2012 
 Forecast = 3.0804  Date_of_death = Jun2012 
 Forecast = 3.0804  Date_of_death = May2012 
 Forecast = 3.3223  Date_of_death = May2012 
 Forecast = 3.3223  Date_of_death = Apr2012 
 Forecast = 2.7125  Date_of_death = Apr2012 
 Forecast = 2.7125  Date_of_death = Mar2012 
 Forecast = 3.9187  Date_of_death = Mar2012 
 Forecast = 3.9187  Date_of_death = Feb2012 
 Forecast = 4.6756  Date_of_death = Feb2012 
 Forecast = 4.6756  Date_of_death = Jan2012 
 Forecast = 3.6050  Date_of_death = Jan2012 
 Forecast = 3.6050  Date_of_death = Dec2011 
 Forecast = 2.1558  Date_of_death = Dec2011 
 Forecast = 2.1558  Date_of_death = Nov2011 
 Forecast = 3.8997  Date_of_death = Nov2011 
 Forecast = 3.8997  Date_of_death = Oct2011 
 Forecast = 3.7734  Date_of_death = Oct2011 
 Forecast = 3.7734  Date_of_death = Sep2011 
 Forecast = 3.4363  Date_of_death = Sep2011 
 Forecast = 3.4363  Date_of_death = Aug2011 
 Forecast = 3.0022  Date_of_death = Aug2011 
 Forecast = 3.0022  Date_of_death = Jul2011 
 Forecast = 2.8478  Date_of_death = Jul2011 
 Forecast = 2.8478  Date_of_death = Jun2011 
 Forecast = 3.1993  Date_of_death = Jun2011 
 Forecast = 3.1993  Date_of_death = May2011 
 Forecast = 3.6079  Date_of_death = May2011 
 Forecast = 3.6079  Date_of_death = Apr2011 
 Forecast = 2.8955  Date_of_death = Apr2011 
 Forecast = 2.8955  Date_of_death = Mar2011 
 Forecast = 3.7760  Date_of_death = Mar2011 
 Forecast = 3.7760  Date_of_death = Feb2011 
 Forecast = 4.6179  Date_of_death = Feb2011 
 Forecast = 4.6179  Date_of_death = Jan2011 
 Forecast = 3.4831  Date_of_death = Jan2011 
 Forecast = 3.4831  Date_of_death = Dec2010 
 Forecast = 1.7867  Date_of_death = Dec2010 
 Forecast = 1.7867  Date_of_death = Nov2010 
 Forecast = 3.7630  Date_of_death = Nov2010 
 Forecast = 3.7630  Date_of_death = Oct2010 
 Forecast = 3.6067  Date_of_death = Oct2010 
 Forecast = 3.6067  Date_of_death = Sep2010 
 Forecast = 3.2712  Date_of_death = Sep2010 
 Forecast = 3.2712  Date_of_death = Aug2010 
 Forecast = 2.8004  Date_of_death = Aug2010 
 Forecast = 2.8004  Date_of_death = Jul2010 
 Forecast = 3.0820  Date_of_death = Jul2010 
 Forecast = 3.0820  Date_of_death = Jun2010 
 Forecast = 2.9259  Date_of_death = Jun2010 
 Forecast = 2.9259  Date_of_death = May2010 
 Forecast = 3.4345  Date_of_death = May2010 
 Forecast = 3.4345  Date_of_death = Apr2010 
 Forecast = 3.1594  Date_of_death = Apr2010 
 Forecast = 3.1594  Date_of_death = Mar2010 
 Forecast = 3.7323  Date_of_death = Mar2010 
 Forecast = 3.7323  Date_of_death = Feb2010 
 Forecast = 4.5922  Date_of_death = Feb2010 
 Forecast = 4.5922  Date_of_death = Jan2010 
 Forecast = 3.3385  Date_of_death = Jan2010 
 Forecast = 3.3385  Date_of_death = Dec2009 
 Forecast = 1.3925  Date_of_death = Dec2009 
 Forecast = 1.3925  Date_of_death = Nov2009 
 Forecast = 3.6493  Date_of_death = Nov2009 
 Forecast = 3.6493  Date_of_death = Oct2009 
 Forecast = 3.4558  Date_of_death = Oct2009 
 Forecast = 3.4558  Date_of_death = Sep2009 
 Forecast = 3.6105  Date_of_death = Sep2009 
 Forecast = 3.6105  Date_of_death = Aug2009 
 Forecast = 2.4628  Date_of_death = Aug2009 
 Forecast = 2.4628  Date_of_death = Jul2009 
 Forecast = 3.4038  Date_of_death = Jul2009 
 Forecast = 3.4038  Date_of_death = Jun2009 
 Forecast = 3.1761  Date_of_death = Jun2009 
 Forecast = 3.1761  Date_of_death = May2009 
 Forecast = 3.1826  Date_of_death = May2009 
 Forecast = 3.1826  Date_of_death = Apr2009 
 Forecast = 2.9356  Date_of_death = Apr2009 
 Forecast = 2.9356  Date_of_death = Mar2009 
 Forecast = 4.1177  Date_of_death = Mar2009 
 Forecast = 4.1177  Date_of_death = Feb2009 
 Forecast = 4.5295  Date_of_death = Feb2009 
 Forecast = 4.5295  Date_of_death = Jan2009 
 Forecast = 3.6905  Date_of_death = Jan2009 
 Forecast = 3.6905  Date_of_death = Dec2008 
 Forecast = 1.1516  Date_of_death = Dec2008 
 Forecast = 1.1516  Date_of_death = Nov2008 
 Forecast = 4.0624  Date_of_death = Nov2008 
 Forecast = 4.0624  Date_of_death = Oct2008 
 Forecast = 3.1806  Date_of_death = Oct2008 
 Forecast = 3.1806  Date_of_death = Sep2008 
 Forecast = 3.4512  Date_of_death = Sep2008 
 Forecast = 3.4512  Date_of_death = Aug2008 
 Forecast = 2.0844  Date_of_death = Aug2008 
 Forecast = 2.0844  Date_of_death = Jul2008 
 Forecast = 3.1756  Date_of_death = Jul2008 
 Forecast = 3.1756  Date_of_death = Jun2008 
 Forecast = 3.5251  Date_of_death = Jun2008 
 Forecast = 3.5251  Date_of_death = May2008 
 Forecast = 3.4979  Date_of_death = May2008 
 Forecast = 3.4979  Date_of_death = Apr2008 
 Forecast = 2.5838  Date_of_death = Apr2008 
 Forecast = 2.5838  Date_of_death = Mar2008 
 Forecast = 4.0148  Date_of_death = Mar2008 
 Forecast = 4.0148  Date_of_death = Feb2008 
 Forecast = 5.0190  Date_of_death = Feb2008 
 Forecast = 5.0190  Date_of_death = Jan2008 
 Forecast = 3.4863  Date_of_death = Jan2008 
 Forecast = 3.4863  Date_of_death = Dec2007 
 Forecast = 1.1578  Date_of_death = Dec2007 
 Forecast = 1.1578  Date_of_death = Nov2007 
 Forecast = 3.9289  Date_of_death = Nov2007 
 Forecast = 3.9289  Date_of_death = Oct2007 
 Forecast = 2.9123  Date_of_death = Oct2007 
 Forecast = 2.9123  Date_of_death = Sep2007 
 Forecast = 3.2472  Date_of_death = Sep2007 
 Forecast = 3.2472  Date_of_death = Aug2007 
 Forecast = 2.2889  Date_of_death = Aug2007 
 Forecast = 2.2889  Date_of_death = Jul2007 
 Forecast = 2.8491  Date_of_death = Jul2007 
 Forecast = 2.8491  Date_of_death = Jun2007 
 Forecast = 3.2807  Date_of_death = Jun2007 
 Forecast = 3.2807  Date_of_death = May2007 
 Forecast = 3.9348  Date_of_death = May2007 
 Forecast = 3.9348  Date_of_death = Apr2007 
 Forecast = 2.8251  Date_of_death = Apr2007 
 Forecast = 2.8251  Date_of_death = Mar2007 
 Forecast = 3.8042  Date_of_death = Mar2007 
 Forecast = 3.8042  Date_of_death = Feb2007 
 Forecast = 5.0454  Date_of_death = Feb2007 
 Forecast = 5.0454  Date_of_death = Jan2007 
 Forecast = 3.8832  Date_of_death = Jan2007 
 Forecast = 3.8832  Date_of_death = Dec2006 
 Forecast = 1.1759  Date_of_death = Dec2006 
 Forecast = 1.1759  Date_of_death = Nov2006 
 Forecast = 4.2974  Date_of_death = Nov2006 
 Forecast = 4.2974  Date_of_death = Oct2006 
 Forecast = 2.5324  Date_of_death = Oct2006 
 Forecast = 2.5324  Date_of_death = Sep2006 
 Forecast = 3.6613  Date_of_death = Sep2006 
 Forecast = 3.6613  Date_of_death = Aug2006 
 Forecast = 2.3434  Date_of_death = Aug2006 
 Forecast = 2.3434  Date_of_death = Jul2006 
 Forecast = 2.4698  Date_of_death = Jul2006 
 Forecast = 2.4698  Date_of_death = Jun2006 
 Forecast = 3.6866  Date_of_death = Jun2006 
 Forecast = 3.6866  Date_of_death = May2006 
 Forecast = 3.7073  Date_of_death = May2006 
 Forecast = 3.7073  Date_of_death = Apr2006 
 Forecast = 3.1763  Date_of_death = Apr2006 
 Forecast = 3.1763  Date_of_death = Mar2006 
 Forecast = 4.3003  Date_of_death = Mar2006 
 Forecast = 4.3003  Date_of_death = Feb2006 
 Forecast = 5.0065  Date_of_death = Feb2006 
 Forecast = 5.0065  Date_of_death = Jan2006 
 Forecast = 3.6779  Date_of_death = Jan2006 
 Forecast = 3.6779  Date_of_death = Dec2005 
 Forecast = 1.2034  Date_of_death = Dec2005 
 Forecast = 1.2034  Date_of_death = Nov2005 
 Forecast = 4.1657  Date_of_death = Nov2005 
 Forecast = 4.1657  Date_of_death = Oct2005 
 Forecast = 2.8431  Date_of_death = Oct2005 
 Forecast = 2.8431  Date_of_death = Sep2005 
 Forecast = 3.3625  Date_of_death = Sep2005 
 Forecast = 3.3625  Date_of_death = Aug2005 
 Forecast = 1.8051  Date_of_death = Aug2005 
 Forecast = 1.8051  Date_of_death = Jul2005 
 Forecast = 2.5668  Date_of_death = Jul2005 
 Forecast = 2.5668  Date_of_death = Jun2005 
 Forecast = 3.4133  Date_of_death = Jun2005 
 Forecast = 3.4133  Date_of_death = May2005 
 Forecast = 3.4227  Date_of_death = May2005 
 Forecast = 3.4227  Date_of_death = Apr2005 
 Forecast = 3.4102  Date_of_death = Apr2005 
 Forecast = 3.4102  Date_of_death = Mar2005 
 Forecast = 4.9973  Date_of_death = Mar2005 
 Forecast = 4.9973  Date_of_death = Feb2005 
 Forecast = 4.9960  Date_of_death = Feb2005 
 Forecast = 4.9960  Date_of_death = Jan2005 
 Forecast = 3.3939  Date_of_death = Jan2005 
 Forecast = 3.3939  Date_of_death = Dec2004 
 Forecast = 1.2706  Date_of_death = Dec2004 
 Forecast = 1.2706  Date_of_death = Nov2004 
 Forecast = 4.9798  Date_of_death = Nov2004 
 Forecast = 4.9798  Date_of_death = Oct2004 
 Forecast = 2.2722  Date_of_death = Oct2004 
 Forecast = 2.2722  Date_of_death = Sep2004 
 Forecast = 2.9690  Date_of_death = Sep2004 
 Forecast = 2.9690  Date_of_death = Aug2004 
 Forecast = 2.0212  Date_of_death = Aug2004 
 Forecast = 2.0212  Date_of_death = Jul2004 
 Forecast = 2.9833  Date_of_death = Jul2004 
 Forecast = 2.9833  Date_of_death = Jun2004 
 Forecast = 3.0001  Date_of_death = Jun2004 
 Forecast = 3.0001  Date_of_death = May2004 
 Forecast = 3.0092  Date_of_death = May2004 
 Forecast = 3.0092  Date_of_death = Apr2004 
 Forecast = 2.9754  Date_of_death = Apr2004 
 Forecast = 2.9754  Date_of_death = Mar2004 
 Forecast = 5.0061  Date_of_death = Mar2004 
 Forecast = 5.0061  Date_of_death = Feb2004 
 Forecast = 5.0063  Date_of_death = Feb2004 
 Forecast = 5.0063  Date_of_death = Jan2004 
 Forecast = 4.0184  Date_of_death = Jan2004 
 Forecast = 4.0184  Date_of_death = Dec2003 
 Forecast = 1.3264  Date_of_death = Dec2003 
 Forecast = 1.3264  Date_of_death = Nov2003 
 Forecast = 4.9886  Date_of_death = Nov2003 
 Forecast = 4.9886  Date_of_death = Oct2003 
 Forecast = 1.3491  Date_of_death = Oct2003 
 Forecast = 1.3491  Date_of_death = Sep2003 
 Forecast = 3.6513  Date_of_death = Sep2003 
 Forecast = 3.6513  Date_of_death = Aug2003 
 Forecast = 2.3497  Date_of_death = Aug2003 
 Forecast = 2.3497  Date_of_death = Jul2003 
 Forecast = 2.2990  Date_of_death = Jul2003 
 Forecast = 2.2990  Date_of_death = Jun2003 
 Forecast = 2.3362  Date_of_death = Jun2003 
 Forecast = 2.3362  Date_of_death = May2003 
 Forecast = 2.3485  Date_of_death = May2003 
 Forecast = 2.3485  Date_of_death = Apr2003 
 Forecast = 3.6625  Date_of_death = Apr2003 
 Forecast = 3.6625  Date_of_death = Mar2003 
 Forecast = 4.9985  Date_of_death = Mar2003 
 Forecast = 4.9985  Date_of_death = Feb2003 
 Forecast = 4.9898  Date_of_death = Feb2003 
 Forecast = 4.9898  Date_of_death = Jan2003 
 Forecast = 3.6801  Date_of_death = Jan2003 
 Forecast = 3.6801  Date_of_death = Dec2002 
 Forecast = 1.4964  Date_of_death = Dec2002 
 Forecast = 1.4964  Date_of_death = Nov2002 
 Forecast = 5.0013  Date_of_death = Nov2002 
 Forecast = 5.0013  Date_of_death = Oct2002 
 Forecast = 1.5119  Date_of_death = Oct2002 
 Forecast = 1.5119  Date_of_death = Sep2002 
 Forecast = 4.9889  Date_of_death = Sep2002 
 Forecast = 4.9889  Date_of_death = Aug2002 
 Forecast = 1.0082  Date_of_death = Aug2002 
 Forecast = 1.0082  Date_of_death = Jul2002 
 Forecast = 2.9834  Date_of_death = Jul2002 
 Forecast = 2.9834  Date_of_death = Jun2002 
 Forecast = 0.9928  Date_of_death = Jun2002 
 Forecast = 0.9928  Date_of_death = May2002 
 Forecast = 0.9979  Date_of_death = May2002 
 Forecast = 0.9979  Date_of_death = Apr2002 
 Forecast = 2.9938  Date_of_death = Apr2002 
 Forecast = 2.9938  Date_of_death = Mar2002 
 Forecast = 5.0031  Date_of_death = Mar2002 
 Forecast = 5.0031  Date_of_death = Feb2002 
 Forecast = 4.9917  Date_of_death = Feb2002 
 Forecast = 4.9917  Date_of_death = Jan2002 
 Forecast = 3.0078  Date_of_death = Jan2002 
 Forecast = 3.0078  Date_of_death = Dec2001 
 Forecast = 2.0000  Date_of_death = Dec2001 
 Forecast = 2.0000  Date_of_death = Nov2001 
 Forecast = 4.9984  Date_of_death = Nov2001 
 Forecast = 4.9984  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Sep2001 
 Forecast = 5.0000  Date_of_death = Sep2001 
 Forecast = 5.0000  Date_of_death = Aug2001 
 Forecast = 1.0062  Date_of_death = Aug2001 
 Forecast = 1.0062  Date_of_death = Jul2001 
 Forecast = 5.0000  Date_of_death = Jul2001 
 Forecast = 5.0000  Date_of_death = Jun2001 
 Forecast = 1.0000  Date_of_death = Jun2001 
 Forecast = 1.0000  Date_of_death = May2001 
 Forecast = 1.0062  Date_of_death = May2001 
 Forecast = 1.0062  Date_of_death = Apr2001 
 Forecast = 5.0000  Date_of_death = Apr2001 
 Forecast = 5.0000  Date_of_death = Mar2001 
 Forecast = 5.0000  Date_of_death = Mar2001 
 Forecast = 5.0000  Date_of_death = Feb2001 
 Forecast = 4.9938  Date_of_death = Feb2001 
 Forecast = 4.9938  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 5.0000  Date_of_death = Jul2019 
 incidents = 5.0000  Date_of_death = Jun2019 
 incidents = 5.0000  Date_of_death = May2019 
 incidents = 5.0000  Date_of_death = Apr2019 
 incidents = 5.0000  Date_of_death = Mar2019 
 incidents = 2.0000  Date_of_death = Feb2019 
 incidents = 5.0000  Date_of_death = Jan2019 
 incidents = 5.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 1.0000  Date_of_death = Oct2018 
 incidents = 3.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 2.0000  Date_of_death = Jul2018 
 incidents = 5.0000  Date_of_death = Jun2018 
 incidents = 5.0000  Date_of_death = May2018 
 incidents = 3.0000  Date_of_death = Apr2018 
 incidents = 1.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 5.0000  Date_of_death = Dec2017 
 incidents = 5.0000  Date_of_death = Nov2017 
 incidents = 5.0000  Date_of_death = Oct2017 
 incidents = 5.0000  Date_of_death = Sep2017 
 incidents = 5.0000  Date_of_death = Aug2017 
 incidents = 5.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 5.0000  Date_of_death = May2017 
 incidents = 5.0000  Date_of_death = Apr2017 
 incidents = 2.0000  Date_of_death = Mar2017 
 incidents = 5.0000  Date_of_death = Feb2017 
 incidents = 4.0000  Date_of_death = Jan2017 
 incidents = 2.0000  Date_of_death = Dec2016 
 incidents = 5.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 5.0000  Date_of_death = Sep2016 
 incidents = 2.0000  Date_of_death = Aug2016 
 incidents = 1.0000  Date_of_death = Jul2016 
 incidents = 1.0000  Date_of_death = Jun2016 
 incidents = 2.0000  Date_of_death = May2016 
 incidents = 5.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 5.0000  Date_of_death = Feb2016 
 incidents = 2.0000  Date_of_death = Jan2016 
 incidents = 5.0000  Date_of_death = Dec2015 
 incidents = 1.0000  Date_of_death = Nov2015 
 incidents = 1.0000  Date_of_death = Oct2015 
 incidents = 2.0000  Date_of_death = Sep2015 
 incidents = 5.0000  Date_of_death = Aug2015 
 incidents = 5.0000  Date_of_death = Jul2015 
 incidents = 5.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 5.0000  Date_of_death = Apr2015 
 incidents = 5.0000  Date_of_death = Mar2015 
 incidents = 1.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 3.0000  Date_of_death = Dec2014 
 incidents = 5.0000  Date_of_death = Nov2014 
 incidents = 5.0000  Date_of_death = Oct2014 
 incidents = 1.0000  Date_of_death = Sep2014 
 incidents = 1.0000  Date_of_death = Aug2014 
 incidents = 1.0000  Date_of_death = Jul2014 
 incidents = 3.0000  Date_of_death = Jun2014 
 incidents = 5.0000  Date_of_death = May2014 
 incidents = 2.0000  Date_of_death = Apr2014 
 incidents = 5.0000  Date_of_death = Mar2014 
 incidents = 5.0000  Date_of_death = Feb2014 
 incidents = 5.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 4.0000  Date_of_death = Nov2013 
 incidents = 2.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 1.0000  Date_of_death = Aug2013 
 incidents = 5.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 5.0000  Date_of_death = May2013 
 incidents = 1.0000  Date_of_death = Apr2013 
 incidents = 5.0000  Date_of_death = Mar2013 
 incidents = 5.0000  Date_of_death = Feb2013 
 incidents = 5.0000  Date_of_death = Jan2013 
 incidents = 5.0000  Date_of_death = Dec2012 
 incidents = 2.0000  Date_of_death = Nov2012 
 incidents = 1.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 5.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 2.0000  Date_of_death = Jun2012 
 incidents = 1.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 5.0000  Date_of_death = Mar2012 
 incidents = 5.0000  Date_of_death = Feb2012 
 incidents = 5.0000  Date_of_death = Jan2012 
 incidents = 1.0000  Date_of_death = Dec2011 
 incidents = 5.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 1.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 4.0000  Date_of_death = Jul2011 
 incidents = 5.0000  Date_of_death = Jun2011 
 incidents = 2.0000  Date_of_death = May2011 
 incidents = 1.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 5.0000  Date_of_death = Feb2011 
 incidents = 5.0000  Date_of_death = Jan2011 
 incidents = 5.0000  Date_of_death = Dec2010 
 incidents = 5.0000  Date_of_death = Nov2010 
 incidents = 5.0000  Date_of_death = Oct2010 
 incidents = 5.0000  Date_of_death = Sep2010 
 incidents = 5.0000  Date_of_death = Aug2010 
 incidents = 5.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 5.0000  Date_of_death = May2010 
 incidents = 5.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 4.0000  Date_of_death = Feb2010 
 incidents = 5.0000  Date_of_death = Jan2010 
 incidents = 5.0000  Date_of_death = Dec2009 
 incidents = 5.0000  Date_of_death = Nov2009 
 incidents = 5.0000  Date_of_death = Oct2009 
 incidents = 5.0000  Date_of_death = Sep2009 
 incidents = 1.0000  Date_of_death = Aug2009 
 incidents = 5.0000  Date_of_death = Jul2009 
 incidents = 1.0000  Date_of_death = Jun2009 
 incidents = 1.0000  Date_of_death = May2009 
 incidents = 5.0000  Date_of_death = Apr2009 
 incidents = 5.0000  Date_of_death = Mar2009 
 incidents = 1.0000  Date_of_death = Feb2009 
 incidents = 5.0000  Date_of_death = Jan2009 
 incidents = 1.0000  Date_of_death = Dec2008 
 incidents = 3.0000  Date_of_death = Nov2008 
 incidents = 1.0000  Date_of_death = Oct2008 
 incidents = 5.0000  Date_of_death = Sep2008 
 incidents = 5.0000  Date_of_death = Aug2008 
 incidents = 5.0000  Date_of_death = Jul2008 
 incidents = 5.0000  Date_of_death = Jun2008 
 incidents = 1.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 5.0000  Date_of_death = Mar2008 
 incidents = 5.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 5.0000  Date_of_death = Dec2007 
 incidents = 1.0000  Date_of_death = Nov2007 
 incidents = 5.0000  Date_of_death = Oct2007 
 incidents = 5.0000  Date_of_death = Sep2007 
 incidents = 5.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 5.0000  Date_of_death = Jun2007 
 incidents = 5.0000  Date_of_death = May2007 
 incidents = 1.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 5.0000  Date_of_death = Feb2007 
 incidents = 5.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 1.0000  Date_of_death = Nov2006 
 incidents = 2.0000  Date_of_death = Oct2006 
 incidents = 5.0000  Date_of_death = Sep2006 
 incidents = 1.0000  Date_of_death = Aug2006 
 incidents = 2.0000  Date_of_death = Jul2006 
 incidents = 5.0000  Date_of_death = Jun2006 
 incidents = 1.0000  Date_of_death = May2006 
 incidents = 5.0000  Date_of_death = Apr2006 
 incidents = 1.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 5.0000  Date_of_death = Jan2006 
 incidents = 5.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 5.0000  Date_of_death = Oct2005 
 incidents = 1.0000  Date_of_death = Sep2005 
 incidents = 5.0000  Date_of_death = Aug2005 
 incidents = 5.0000  Date_of_death = Jul2005 
 incidents = 2.0000  Date_of_death = Jun2005 
 incidents = 5.0000  Date_of_death = May2005 
 incidents = 5.0000  Date_of_death = Apr2005 
 incidents = 2.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 5.0000  Date_of_death = Jan2005 
 incidents = 5.0000  Date_of_death = Dec2004 
 incidents = 1.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 5.0000  Date_of_death = Sep2004 
 incidents = 5.0000  Date_of_death = Aug2004 
 incidents = 1.0000  Date_of_death = Jul2004 
 incidents = 1.0000  Date_of_death = Jun2004 
 incidents = 5.0000  Date_of_death = May2004 
 incidents = 5.0000  Date_of_death = Apr2004 
 incidents = 5.0000  Date_of_death = Mar2004 
 incidents = 5.0000  Date_of_death = Feb2004 
 incidents = 5.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 5.0000  Date_of_death = Oct2003 
 incidents = 5.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 5.0000  Date_of_death = Jun2003 
 incidents = 5.0000  Date_of_death = May2003 
 incidents = 5.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 5.0000  Date_of_death = Feb2003 
 incidents = 5.0000  Date_of_death = Jan2003 
 incidents = 5.0000  Date_of_death = Dec2002 
 incidents = 1.0000  Date_of_death = Nov2002 
 incidents = 5.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 5.0000  Date_of_death = Jul2002 
 incidents = 1.0000  Date_of_death = Jun2002 
 incidents = 5.0000  Date_of_death = May2002 
 incidents = 5.0000  Date_of_death = Apr2002 
 incidents = 5.0000  Date_of_death = Mar2002 
 incidents = 5.0000  Date_of_death = Feb2002 
 incidents = 5.0000  Date_of_death = Jan2002 
 incidents = 5.0000  Date_of_death = Dec2001 
 incidents = 1.0000  Date_of_death = Nov2001 
 incidents = 5.0000  Date_of_death = Oct2001 
 incidents = 2.0000  Date_of_death = Sep2001 
 incidents = 5.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 1.0000  Date_of_death = Jun2001 
 incidents = 1.0000  Date_of_death = May2001 
 incidents = 1.0000  Date_of_death = Apr2001 
 incidents = 1.0000  Date_of_death = Mar2001 
 incidents = 5.0000  Date_of_death = Feb2001 
 incidents = 5.0000  Date_of_death = Jan2001 
 incidents = 5.0000  Date_of_death = Sep2020 
 Upper 95% = 6.6520 
 Lower 95% = -0.9431  Date_of_death = Aug2020 
 Upper 95% = 7.0382 
 Lower 95% = -0.5561  Date_of_death = Aug2020 
 Upper 95% = 7.0382 
 Lower 95% = -0.5561  Date_of_death = Jul2020 
 Upper 95% = 6.8205 
 Lower 95% = -0.7738  Date_of_death = Jul2020 
 Upper 95% = 6.8205 
 Lower 95% = -0.7738  Date_of_death = Jun2020 
 Upper 95% = 7.1294 
 Lower 95% = -0.4649  Date_of_death = Jun2020 
 Upper 95% = 7.1294 
 Lower 95% = -0.4649  Date_of_death = May2020 
 Upper 95% = 7.1775 
 Lower 95% = -0.4168  Date_of_death = May2020 
 Upper 95% = 7.1775 
 Lower 95% = -0.4168  Date_of_death = Apr2020 
 Upper 95% = 6.9357 
 Lower 95% = -0.6586  Date_of_death = Apr2020 
 Upper 95% = 6.9357 
 Lower 95% = -0.6586  Date_of_death = Mar2020 
 Upper 95% = 7.5424 
 Lower 95% = -0.0519  Date_of_death = Mar2020 
 Upper 95% = 7.5424 
 Lower 95% = -0.0519  Date_of_death = Feb2020 
 Upper 95% = 7.8362 
 Lower 95% = 0.2419  Date_of_death = Feb2020 
 Upper 95% = 7.8362 
 Lower 95% = 0.2419  Date_of_death = Jan2020 
 Upper 95% = 7.4021 
 Lower 95% = -0.1923  Date_of_death = Jan2020 
 Upper 95% = 7.4021 
 Lower 95% = -0.1923  Date_of_death = Dec2019 
 Upper 95% = 6.6801 
 Lower 95% = -0.9191  Date_of_death = Dec2019 
 Upper 95% = 6.6801 
 Lower 95% = -0.9191  Date_of_death = Nov2019 
 Upper 95% = 6.8125 
 Lower 95% = -0.7868  Date_of_death = Nov2019 
 Upper 95% = 6.8125 
 Lower 95% = -0.7868  Date_of_death = Oct2019 
 Upper 95% = 7.0441 
 Lower 95% = -0.5543
Forecast Plot

County=Harris

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 6.00000 2.59746 1.82973

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 6.00000 2.59746 1.82973

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.66698
Level Error Variance 1.00012
Season Error Variance 3.19053

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -472.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 951.16
BIC (smaller is better) 961.4
AICC (smaller is better) 951.27
HQIC (smaller is better) 955.29
CAIC (smaller is better) 964.4
Likelihood Optimization Algorithm Converged in 7 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.25083 0.33011 9.85 <.0001
Level Error Variance 0.00245 0.0037309 0.66 0.5120
Season Error Variance 0.00169 0.01503 0.11 0.9105

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 4.09430
Root Mean Squared Error 2.02344
Mean Absolute Percentage Error 84.21610
Maximum Percent Error 83.18547
R-Square -0.24670
Adjusted R-Square -0.25799
Random Walk R-Square 0.35819
Amemiya's Adjusted R-Square -0.28055

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 0.10 0.7473
Level 1 99.94 <.0001
Season 11 9.71 0.5567

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.967147943 0.2968094

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00169

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error
Chi-Square DF Pr > ChiSq
55 AUG2004 Additive Outlier 4.23819 1.8630817 5.17 1 0.0229
103 AUG2008 Additive Outlier 4.21711 1.8610898 5.13 1 0.0235
141 OCT2011 Additive Outlier 4.12340 1.8634283 4.90 1 0.0269

Residual Diagnostics Panel

 Prediction Error = 6.7148 
 Percent = 0.0419  Prediction Error = 6.6364 
 Percent = 0.0573  Prediction Error = 6.6364 
 Percent = 0.0573  Prediction Error = 6.5581 
 Percent = 0.0773  Prediction Error = 6.5581 
 Percent = 0.0773  Prediction Error = 6.4797 
 Percent = 0.1031  Prediction Error = 6.4797 
 Percent = 0.1031  Prediction Error = 6.4014 
 Percent = 0.136  Prediction Error = 6.4014 
 Percent = 0.136  Prediction Error = 6.323 
 Percent = 0.1772  Prediction Error = 6.323 
 Percent = 0.1772  Prediction Error = 6.2447 
 Percent = 0.2283  Prediction Error = 6.2447 
 Percent = 0.2283  Prediction Error = 6.1663 
 Percent = 0.2909  Prediction Error = 6.1663 
 Percent = 0.2909  Prediction Error = 6.088 
 Percent = 0.3666  Prediction Error = 6.088 
 Percent = 0.3666  Prediction Error = 6.0096 
 Percent = 0.457  Prediction Error = 6.0096 
 Percent = 0.457  Prediction Error = 5.9313 
 Percent = 0.5638  Prediction Error = 5.9313 
 Percent = 0.5638  Prediction Error = 5.853 
 Percent = 0.6884  Prediction Error = 5.853 
 Percent = 0.6884  Prediction Error = 5.7746 
 Percent = 0.8321  Prediction Error = 5.7746 
 Percent = 0.8321  Prediction Error = 5.6963 
 Percent = 0.9961  Prediction Error = 5.6963 
 Percent = 0.9961  Prediction Error = 5.6179 
 Percent = 1.1811  Prediction Error = 5.6179 
 Percent = 1.1811  Prediction Error = 5.5396 
 Percent = 1.3878  Prediction Error = 5.5396 
 Percent = 1.3878  Prediction Error = 5.4612 
 Percent = 1.6162  Prediction Error = 5.4612 
 Percent = 1.6162  Prediction Error = 5.3829 
 Percent = 1.8662  Prediction Error = 5.3829 
 Percent = 1.8662  Prediction Error = 5.3045 
 Percent = 2.1371  Prediction Error = 5.3045 
 Percent = 2.1371  Prediction Error = 5.2262 
 Percent = 2.4278  Prediction Error = 5.2262 
 Percent = 2.4278  Prediction Error = 5.1478 
 Percent = 2.7369  Prediction Error = 5.1478 
 Percent = 2.7369  Prediction Error = 5.0695 
 Percent = 3.0625  Prediction Error = 5.0695 
 Percent = 3.0625  Prediction Error = 4.9911 
 Percent = 3.4021  Prediction Error = 4.9911 
 Percent = 3.4021  Prediction Error = 4.6777 
 Percent = 4.8411  Prediction Error = 4.6777 
 Percent = 4.8411  Prediction Error = 4.521 
 Percent = 5.5574  Prediction Error = 4.521 
 Percent = 5.5574  Prediction Error = 4.4427 
 Percent = 5.9004  Prediction Error = 4.4427 
 Percent = 5.9004  Prediction Error = 4.3643 
 Percent = 6.2276  Prediction Error = 4.3643 
 Percent = 6.2276  Prediction Error = 4.286 
 Percent = 6.5348  Prediction Error = 4.286 
 Percent = 6.5348  Prediction Error = 4.2077 
 Percent = 6.8181  Prediction Error = 4.2077 
 Percent = 6.8181  Prediction Error = 4.1293 
 Percent = 7.0742  Prediction Error = 4.1293 
 Percent = 7.0742  Prediction Error = 4.051 
 Percent = 7.2998  Prediction Error = 4.051 
 Percent = 7.2998  Prediction Error = 3.9726 
 Percent = 7.4928  Prediction Error = 3.9726 
 Percent = 7.4928  Prediction Error = 3.8943 
 Percent = 7.6513  Prediction Error = 3.8943 
 Percent = 7.6513  Prediction Error = 3.8159 
 Percent = 7.7744  Prediction Error = 3.8159 
 Percent = 7.7744  Prediction Error = 3.7376 
 Percent = 7.862  Prediction Error = 3.7376 
 Percent = 7.862  Prediction Error = 3.6592 
 Percent = 7.9147  Prediction Error = 3.6592 
 Percent = 7.9147  Prediction Error = 3.5809 
 Percent = 7.934  Prediction Error = 3.5809 
 Percent = 7.934  Prediction Error = 3.5025 
 Percent = 7.9222  Prediction Error = 3.5025 
 Percent = 7.9222  Prediction Error = 3.4242 
 Percent = 7.8825  Prediction Error = 3.4242 
 Percent = 7.8825  Prediction Error = 3.3458 
 Percent = 7.8184  Prediction Error = 3.3458 
 Percent = 7.8184  Prediction Error = 3.2675 
 Percent = 7.7345  Prediction Error = 3.2675 
 Percent = 7.7345  Prediction Error = 3.1891 
 Percent = 7.6357  Prediction Error = 3.1891 
 Percent = 7.6357  Prediction Error = 2.9541 
 Percent = 7.3054  Prediction Error = 2.9541 
 Percent = 7.3054  Prediction Error = 2.8757 
 Percent = 7.2039  Prediction Error = 2.8757 
 Percent = 7.2039  Prediction Error = 2.7974 
 Percent = 7.1169  Prediction Error = 2.7974 
 Percent = 7.1169  Prediction Error = 2.719 
 Percent = 7.05  Prediction Error = 2.719 
 Percent = 7.05  Prediction Error = 2.6407 
 Percent = 7.009  Prediction Error = 2.6407 
 Percent = 7.009  Prediction Error = 2.5624 
 Percent = 6.9986  Prediction Error = 2.5624 
 Percent = 6.9986  Prediction Error = 2.484 
 Percent = 7.0231  Prediction Error = 2.484 
 Percent = 7.0231  Prediction Error = 2.4057 
 Percent = 7.0859  Prediction Error = 2.4057 
 Percent = 7.0859  Prediction Error = 2.3273 
 Percent = 7.1897  Prediction Error = 2.3273 
 Percent = 7.1897  Prediction Error = 2.249 
 Percent = 7.336  Prediction Error = 2.249 
 Percent = 7.336  Prediction Error = 2.1706 
 Percent = 7.5253  Prediction Error = 2.1706 
 Percent = 7.5253  Prediction Error = 2.0923 
 Percent = 7.7572  Prediction Error = 2.0923 
 Percent = 7.7572  Prediction Error = 2.0139 
 Percent = 8.0307  Prediction Error = 2.0139 
 Percent = 8.0307  Prediction Error = 1.9356 
 Percent = 8.3437  Prediction Error = 1.9356 
 Percent = 8.3437  Prediction Error = 1.8572 
 Percent = 8.6937  Prediction Error = 1.8572 
 Percent = 8.6937  Prediction Error = 1.7789 
 Percent = 9.078  Prediction Error = 1.7789 
 Percent = 9.078  Prediction Error = 1.7005 
 Percent = 9.4934  Prediction Error = 1.7005 
 Percent = 9.4934  Prediction Error = 1.6222 
 Percent = 9.9371  Prediction Error = 1.6222 
 Percent = 9.9371  Prediction Error = 1.5438 
 Percent = 10.406  Prediction Error = 1.5438 
 Percent = 10.406  Prediction Error = 1.4655 
 Percent = 10.898  Prediction Error = 1.4655 
 Percent = 10.898  Prediction Error = 1.3871 
 Percent = 11.412  Prediction Error = 1.3871 
 Percent = 11.412  Prediction Error = 1.3088 
 Percent = 11.945  Prediction Error = 1.3088 
 Percent = 11.945  Prediction Error = 1.2304 
 Percent = 12.497  Prediction Error = 1.2304 
 Percent = 12.497  Prediction Error = 1.1521 
 Percent = 13.068  Prediction Error = 1.1521 
 Percent = 13.068  Prediction Error = 1.0737 
 Percent = 13.657  Prediction Error = 1.0737 
 Percent = 13.657  Prediction Error = 0.9954 
 Percent = 14.266  Prediction Error = 0.9954 
 Percent = 14.266  Prediction Error = 0.9171 
 Percent = 14.894  Prediction Error = 0.9171 
 Percent = 14.894  Prediction Error = 0.8387 
 Percent = 15.541  Prediction Error = 0.8387 
 Percent = 15.541  Prediction Error = 0.7604 
 Percent = 16.209  Prediction Error = 0.7604 
 Percent = 16.209  Prediction Error = 0.6037 
 Percent = 17.604  Prediction Error = 0.6037 
 Percent = 17.604  Prediction Error = 0.0552 
 Percent = 22.885  Prediction Error = 0.0552 
 Percent = 22.885  Prediction Error = -0.101 
 Percent = 24.36  Prediction Error = -0.101 
 Percent = 24.36  Prediction Error = -0.18 
 Percent = 25.056  Prediction Error = -0.18 
 Percent = 25.056  Prediction Error = -0.258 
 Percent = 25.714  Prediction Error = -0.258 
 Percent = 25.714  Prediction Error = -0.337 
 Percent = 26.323  Prediction Error = -0.337 
 Percent = 26.323  Prediction Error = -0.415 
 Percent = 26.875  Prediction Error = -0.415 
 Percent = 26.875  Prediction Error = -0.493 
 Percent = 27.361  Prediction Error = -0.493 
 Percent = 27.361  Prediction Error = -0.572 
 Percent = 27.77  Prediction Error = -0.572 
 Percent = 27.77  Prediction Error = -0.65 
 Percent = 28.094  Prediction Error = -0.65 
 Percent = 28.094  Prediction Error = -0.728 
 Percent = 28.327  Prediction Error = -0.728 
 Percent = 28.327  Prediction Error = -0.807 
 Percent = 28.46  Prediction Error = -0.807 
 Percent = 28.46  Prediction Error = -0.885 
 Percent = 28.489  Prediction Error = -0.885 
 Percent = 28.489  Prediction Error = -0.963 
 Percent = 28.409  Prediction Error = -0.963 
 Percent = 28.409  Prediction Error = -1.042 
 Percent = 28.219  Prediction Error = -1.042 
 Percent = 28.219  Prediction Error = -1.12 
 Percent = 27.917  Prediction Error = -1.12 
 Percent = 27.917  Prediction Error = -1.198 
 Percent = 27.506  Prediction Error = -1.198 
 Percent = 27.506  Prediction Error = -1.277 
 Percent = 26.987  Prediction Error = -1.277 
 Percent = 26.987  Prediction Error = -1.355 
 Percent = 26.365  Prediction Error = -1.355 
 Percent = 26.365  Prediction Error = -1.433 
 Percent = 25.647  Prediction Error = -1.433 
 Percent = 25.647  Prediction Error = -1.512 
 Percent = 24.84  Prediction Error = -1.512 
 Percent = 24.84  Prediction Error = -1.59 
 Percent = 23.954  Prediction Error = -1.59 
 Percent = 23.954  Prediction Error = -1.668 
 Percent = 22.998  Prediction Error = -1.668 
 Percent = 22.998  Prediction Error = -1.747 
 Percent = 21.983  Prediction Error = -1.747 
 Percent = 21.983  Prediction Error = -2.217 
 Percent = 15.318  Prediction Error = -2.217 
 Percent = 15.318  Prediction Error = -2.374 
 Percent = 13.142  Prediction Error = -2.374 
 Percent = 13.142  Prediction Error = -2.452 
 Percent = 12.105  Prediction Error = -2.452 
 Percent = 12.105  Prediction Error = -2.53 
 Percent = 11.11  Prediction Error = -2.53 
 Percent = 11.11  Prediction Error = -2.609 
 Percent = 10.163  Prediction Error = -2.609 
 Percent = 10.163  Prediction Error = -2.687 
 Percent = 9.2667  Prediction Error = -2.687 
 Percent = 9.2667  Prediction Error = -2.765 
 Percent = 8.4249  Prediction Error = -2.765 
 Percent = 8.4249  Prediction Error = -2.844 
 Percent = 7.6385  Prediction Error = -2.844 
 Percent = 7.6385  Prediction Error = -2.922 
 Percent = 6.9079  Prediction Error = -2.922 
 Percent = 6.9079  Prediction Error = -3 
 Percent = 6.2328  Prediction Error = -3 
 Percent = 6.2328  Prediction Error = -3.079 
 Percent = 5.6119  Prediction Error = -3.079 
 Percent = 5.6119  Prediction Error = -3.157 
 Percent = 5.0435  Prediction Error = -3.157 
 Percent = 5.0435  Prediction Error = -3.235 
 Percent = 4.5254  Prediction Error = -3.235 
 Percent = 4.5254  Prediction Error = -3.314 
 Percent = 4.0552  Prediction Error = -3.314 
 Percent = 4.0552  Prediction Error = -3.392 
 Percent = 3.6302  Prediction Error = -3.392 
 Percent = 3.6302  Prediction Error = -3.47 
 Percent = 3.2477  Prediction Error = -3.47 
 Percent = 3.2477  Prediction Error = -3.549 
 Percent = 2.9051  Prediction Error = -3.549 
 Percent = 2.9051  Prediction Error = -3.627 
 Percent = 2.5997  Prediction Error = -3.627 
 Percent = 2.5997  Prediction Error = -3.705 
 Percent = 2.329  Prediction Error = -3.705 
 Percent = 2.329  Prediction Error = -3.784 
 Percent = 2.0906  Prediction Error = -3.784 
 Percent = 2.0906  Prediction Error = -3.862 
 Percent = 1.8821  Prediction Error = -3.862 
 Percent = 1.8821  Prediction Error = -3.941 
 Percent = 1.7012  Prediction Error = -3.941 
 Percent = 1.7012  Prediction Error = -4.019 
 Percent = 1.5457  Prediction Error = -4.019 
 Percent = 1.5457  Prediction Error = -4.097 
 Percent = 1.4133  Prediction Error = -4.097 
 Percent = 1.4133  Prediction Error = -4.176 
 Percent = 1.3019  Prediction Error = -4.176 
 Percent = 1.3019  Prediction Error = -4.254 
 Percent = 1.209  Prediction Error = -4.254 
 Percent = 1.209  Prediction Error = -4.332 
 Percent = 1.1323  Prediction Error = -4.332 
 Percent = 1.1323  Prediction Error = -4.411 
 Percent = 1.0695  Prediction Error = -4.411 
 Percent = 1.0695  Prediction Error = -4.489 
 Percent = 1.0181  Prediction Error = -4.489 
 Percent = 1.0181  Prediction Error = -4.567 
 Percent = 0.9755  Prediction Error = -4.567 
 Percent = 0.9755  Prediction Error = -4.646 
 Percent = 0.9396  Prediction Error = -4.646 
 Percent = 0.9396  Prediction Error = -4.724 
 Percent = 0.908  Prediction Error = -4.724 
 Percent = 0.908  Prediction Error = -4.881 
 Percent = 0.8497  Prediction Error = -4.881 
 Percent = 0.8497  Prediction Error = -4.959 
 Percent = 0.8197  Prediction Error = -4.959 
 Percent = 0.8197  Prediction Error = -5.037 
 Percent = 0.7874  Prediction Error = -5.037 
 Percent = 0.7874  Prediction Error = -5.116 
 Percent = 0.752  Prediction Error = -5.116 
 Percent = 0.752  Prediction Error = -5.194 
 Percent = 0.7132  Prediction Error = -5.194 
 Percent = 0.7132  Prediction Error = -5.272 
 Percent = 0.6708  Prediction Error = -5.272 
 Percent = 0.6708  Prediction Error = -5.742 
 Percent = 0.3742  Prediction Error = -5.742 
 Percent = 0.3742  Prediction Error = -5.821 
 Percent = 0.326  Prediction Error = -5.821 
 Percent = 0.326  Prediction Error = -5.899 
 Percent = 0.2804  Prediction Error = -5.899 
 Percent = 0.2804  Prediction Error = -5.978 
 Percent = 0.2382  Prediction Error = -5.978 
 Percent = 0.2382  Prediction Error = -6.056 
 Percent = 0.1998  Prediction Error = -6.056 
 Percent = 0.1998  Prediction Error = -6.134 
 Percent = 0.1654  Prediction Error = -6.134 
 Percent = 0.1654  Prediction Error = -6.213 
 Percent = 0.1351  Prediction Error = -6.213 
 Percent = 0.1351  Prediction Error = -6.291 
 Percent = 0.1089  Prediction Error = -6.291 
 Percent = 0.1089  Prediction Error = -6.369 
 Percent = 0.0867  Prediction Error = -6.369 
 Percent = 0.0867  Prediction Error = -6.448 
 Percent = 0.0681  Prediction Error = -6.448 
 Percent = 0.0681  Prediction Error = -6.526 
 Percent = 0.0527  Prediction Error = -6.526 
 Percent = 0.0527  Prediction Error = -6.604 
 Percent = 0.0403  Prediction Error = -6.604 
 Percent = 0.0403  Prediction Error = -6.683 
 Percent = 0.0304  Prediction Error = -6.683 
 Percent = 0.0304  Prediction Error = -6.761 
 Percent = 0.0226  Prediction Error = 6.134 
 Percent = 0.2623  Prediction Error = 6.0726 
 Percent = 0.2872  Prediction Error = 6.0726 
 Percent = 0.2872  Prediction Error = 6.0111 
 Percent = 0.3141  Prediction Error = 6.0111 
 Percent = 0.3141  Prediction Error = 5.9497 
 Percent = 0.3432  Prediction Error = 5.9497 
 Percent = 0.3432  Prediction Error = 5.8883 
 Percent = 0.3746  Prediction Error = 5.8883 
 Percent = 0.3746  Prediction Error = 5.8268 
 Percent = 0.4086  Prediction Error = 5.8268 
 Percent = 0.4086  Prediction Error = 5.7654 
 Percent = 0.4452  Prediction Error = 5.7654 
 Percent = 0.4452  Prediction Error = 5.704 
 Percent = 0.4847  Prediction Error = 5.704 
 Percent = 0.4847  Prediction Error = 5.6425 
 Percent = 0.5272  Prediction Error = 5.6425 
 Percent = 0.5272  Prediction Error = 5.5811 
 Percent = 0.5728  Prediction Error = 5.5811 
 Percent = 0.5728  Prediction Error = 5.5197 
 Percent = 0.6219  Prediction Error = 5.5197 
 Percent = 0.6219  Prediction Error = 5.4582 
 Percent = 0.6746  Prediction Error = 5.4582 
 Percent = 0.6746  Prediction Error = 5.3968 
 Percent = 0.731  Prediction Error = 5.3968 
 Percent = 0.731  Prediction Error = 5.3354 
 Percent = 0.7914  Prediction Error = 5.3354 
 Percent = 0.7914  Prediction Error = 5.2739 
 Percent = 0.8561  Prediction Error = 5.2739 
 Percent = 0.8561  Prediction Error = 5.2125 
 Percent = 0.9251  Prediction Error = 5.2125 
 Percent = 0.9251  Prediction Error = 5.1511 
 Percent = 0.9989  Prediction Error = 5.1511 
 Percent = 0.9989  Prediction Error = 5.0896 
 Percent = 1.0775  Prediction Error = 5.0896 
 Percent = 1.0775  Prediction Error = 5.0282 
 Percent = 1.1612  Prediction Error = 5.0282 
 Percent = 1.1612  Prediction Error = 4.9668 
 Percent = 1.2503  Prediction Error = 4.9668 
 Percent = 1.2503  Prediction Error = 4.9053 
 Percent = 1.345  Prediction Error = 4.9053 
 Percent = 1.345  Prediction Error = 4.8439 
 Percent = 1.4455  Prediction Error = 4.8439 
 Percent = 1.4455  Prediction Error = 4.7825 
 Percent = 1.5521  Prediction Error = 4.7825 
 Percent = 1.5521  Prediction Error = 4.721 
 Percent = 1.6651  Prediction Error = 4.721 
 Percent = 1.6651  Prediction Error = 4.6596 
 Percent = 1.7846  Prediction Error = 4.6596 
 Percent = 1.7846  Prediction Error = 4.5982 
 Percent = 1.911  Prediction Error = 4.5982 
 Percent = 1.911  Prediction Error = 4.5367 
 Percent = 2.0444  Prediction Error = 4.5367 
 Percent = 2.0444  Prediction Error = 4.4753 
 Percent = 2.1852  Prediction Error = 4.4753 
 Percent = 2.1852  Prediction Error = 4.4139 
 Percent = 2.3334  Prediction Error = 4.4139 
 Percent = 2.3334  Prediction Error = 4.3524 
 Percent = 2.4895  Prediction Error = 4.3524 
 Percent = 2.4895  Prediction Error = 4.291 
 Percent = 2.6536  Prediction Error = 4.291 
 Percent = 2.6536  Prediction Error = 4.2296 
 Percent = 2.8258  Prediction Error = 4.2296 
 Percent = 2.8258  Prediction Error = 4.1681 
 Percent = 3.0065  Prediction Error = 4.1681 
 Percent = 3.0065  Prediction Error = 4.1067 
 Percent = 3.1958  Prediction Error = 4.1067 
 Percent = 3.1958  Prediction Error = 4.0453 
 Percent = 3.394  Prediction Error = 4.0453 
 Percent = 3.394  Prediction Error = 3.9838 
 Percent = 3.601  Prediction Error = 3.9838 
 Percent = 3.601  Prediction Error = 3.9224 
 Percent = 3.8173  Prediction Error = 3.9224 
 Percent = 3.8173  Prediction Error = 3.861 
 Percent = 4.0428  Prediction Error = 3.861 
 Percent = 4.0428  Prediction Error = 3.7995 
 Percent = 4.2776  Prediction Error = 3.7995 
 Percent = 4.2776  Prediction Error = 3.7381 
 Percent = 4.522  Prediction Error = 3.7381 
 Percent = 4.522  Prediction Error = 3.6767 
 Percent = 4.776  Prediction Error = 3.6767 
 Percent = 4.776  Prediction Error = 3.6152 
 Percent = 5.0395  Prediction Error = 3.6152 
 Percent = 5.0395  Prediction Error = 3.5538 
 Percent = 5.3128  Prediction Error = 3.5538 
 Percent = 5.3128  Prediction Error = 3.4924 
 Percent = 5.5957  Prediction Error = 3.4924 
 Percent = 5.5957  Prediction Error = 3.4309 
 Percent = 5.8883  Prediction Error = 3.4309 
 Percent = 5.8883  Prediction Error = 3.3695 
 Percent = 6.1904  Prediction Error = 3.3695 
 Percent = 6.1904  Prediction Error = 3.2466 
 Percent = 6.8233  Prediction Error = 3.2466 
 Percent = 6.8233  Prediction Error = 3.1238 
 Percent = 7.4933  Prediction Error = 3.1238 
 Percent = 7.4933  Prediction Error = 3.0009 
 Percent = 8.1989  Prediction Error = 3.0009 
 Percent = 8.1989  Prediction Error = 2.878 
 Percent = 8.938  Prediction Error = 2.878 
 Percent = 8.938  Prediction Error = 2.7552 
 Percent = 9.7081  Prediction Error = 2.7552 
 Percent = 9.7081  Prediction Error = 1.8337 
 Percent = 16.05  Prediction Error = 1.8337 
 Percent = 16.05  Prediction Error = 1.6494 
 Percent = 17.313  Prediction Error = 1.6494 
 Percent = 17.313  Prediction Error = 1.5265 
 Percent = 18.127  Prediction Error = 1.5265 
 Percent = 18.127  Prediction Error = 1.4036 
 Percent = 18.909  Prediction Error = 1.4036 
 Percent = 18.909  Prediction Error = 1.2808 
 Percent = 19.652  Prediction Error = 1.2808 
 Percent = 19.652  Prediction Error = 1.2193 
 Percent = 20.007  Prediction Error = 1.2193 
 Percent = 20.007  Prediction Error = 1.1579 
 Percent = 20.35  Prediction Error = 1.1579 
 Percent = 20.35  Prediction Error = 1.0965 
 Percent = 20.68  Prediction Error = 1.0965 
 Percent = 20.68  Prediction Error = 1.035 
 Percent = 20.996  Prediction Error = 1.035 
 Percent = 20.996  Prediction Error = 0.9736 
 Percent = 21.297  Prediction Error = 0.9736 
 Percent = 21.297  Prediction Error = 0.9122 
 Percent = 21.582  Prediction Error = 0.9122 
 Percent = 21.582  Prediction Error = 0.8507 
 Percent = 21.851  Prediction Error = 0.8507 
 Percent = 21.851  Prediction Error = 0.7893 
 Percent = 22.103  Prediction Error = 0.7893 
 Percent = 22.103  Prediction Error = 0.7279 
 Percent = 22.338  Prediction Error = 0.7279 
 Percent = 22.338  Prediction Error = 0.6664 
 Percent = 22.555  Prediction Error = 0.6664 
 Percent = 22.555  Prediction Error = 0.605 
 Percent = 22.752  Prediction Error = 0.605 
 Percent = 22.752  Prediction Error = 0.5436 
 Percent = 22.93  Prediction Error = 0.5436 
 Percent = 22.93  Prediction Error = 0.4821 
 Percent = 23.089  Prediction Error = 0.4821 
 Percent = 23.089  Prediction Error = 0.4207 
 Percent = 23.227  Prediction Error = 0.4207 
 Percent = 23.227  Prediction Error = 0.3593 
 Percent = 23.345  Prediction Error = 0.3593 
 Percent = 23.345  Prediction Error = 0.2978 
 Percent = 23.441  Prediction Error = 0.2978 
 Percent = 23.441  Prediction Error = 0.2364 
 Percent = 23.517  Prediction Error = 0.2364 
 Percent = 23.517  Prediction Error = 0.175 
 Percent = 23.571  Prediction Error = 0.175 
 Percent = 23.571  Prediction Error = 0.1135 
 Percent = 23.603  Prediction Error = 0.1135 
 Percent = 23.603  Prediction Error = 0.0521 
 Percent = 23.614  Prediction Error = 0.0521 
 Percent = 23.614  Prediction Error = -0.009 
 Percent = 23.603  Prediction Error = -0.009 
 Percent = 23.603  Prediction Error = -0.071 
 Percent = 23.571  Prediction Error = -0.071 
 Percent = 23.571  Prediction Error = -0.132 
 Percent = 23.517  Prediction Error = -0.132 
 Percent = 23.517  Prediction Error = -0.194 
 Percent = 23.441  Prediction Error = -0.194 
 Percent = 23.441  Prediction Error = -0.255 
 Percent = 23.345  Prediction Error = -0.255 
 Percent = 23.345  Prediction Error = -0.316 
 Percent = 23.227  Prediction Error = -0.316 
 Percent = 23.227  Prediction Error = -0.378 
 Percent = 23.089  Prediction Error = -0.378 
 Percent = 23.089  Prediction Error = -0.439 
 Percent = 22.93  Prediction Error = -0.439 
 Percent = 22.93  Prediction Error = -0.501 
 Percent = 22.752  Prediction Error = -0.501 
 Percent = 22.752  Prediction Error = -0.562 
 Percent = 22.555  Prediction Error = -0.562 
 Percent = 22.555  Prediction Error = -0.624 
 Percent = 22.338  Prediction Error = -0.624 
 Percent = 22.338  Prediction Error = -0.685 
 Percent = 22.103  Prediction Error = -0.685 
 Percent = 22.103  Prediction Error = -0.747 
 Percent = 21.851  Prediction Error = -0.747 
 Percent = 21.851  Prediction Error = -0.808 
 Percent = 21.582  Prediction Error = -0.808 
 Percent = 21.582  Prediction Error = -0.869 
 Percent = 21.297  Prediction Error = -0.869 
 Percent = 21.297  Prediction Error = -0.931 
 Percent = 20.996  Prediction Error = -0.931 
 Percent = 20.996  Prediction Error = -0.992 
 Percent = 20.68  Prediction Error = -0.992 
 Percent = 20.68  Prediction Error = -1.054 
 Percent = 20.35  Prediction Error = -1.054 
 Percent = 20.35  Prediction Error = -1.115 
 Percent = 20.007  Prediction Error = -1.115 
 Percent = 20.007  Prediction Error = -1.177 
 Percent = 19.652  Prediction Error = -1.177 
 Percent = 19.652  Prediction Error = -1.299 
 Percent = 18.909  Prediction Error = -1.299 
 Percent = 18.909  Prediction Error = -1.422 
 Percent = 18.127  Prediction Error = -1.422 
 Percent = 18.127  Prediction Error = -2.159 
 Percent = 13.024  Prediction Error = -2.159 
 Percent = 13.024  Prediction Error = -2.405 
 Percent = 11.327  Prediction Error = -2.405 
 Percent = 11.327  Prediction Error = -2.59 
 Percent = 10.104  Prediction Error = -2.59 
 Percent = 10.104  Prediction Error = -2.712 
 Percent = 9.3194  Prediction Error = -2.712 
 Percent = 9.3194  Prediction Error = -2.835 
 Percent = 8.5644  Prediction Error = -2.835 
 Percent = 8.5644  Prediction Error = -2.958 
 Percent = 7.8418  Prediction Error = -2.958 
 Percent = 7.8418  Prediction Error = -3.081 
 Percent = 7.1537  Prediction Error = -3.081 
 Percent = 7.1537  Prediction Error = -3.204 
 Percent = 6.5022  Prediction Error = -3.204 
 Percent = 6.5022  Prediction Error = -3.265 
 Percent = 6.1904  Prediction Error = -3.265 
 Percent = 6.1904  Prediction Error = -3.327 
 Percent = 5.8883  Prediction Error = -3.327 
 Percent = 5.8883  Prediction Error = -3.388 
 Percent = 5.5957  Prediction Error = -3.388 
 Percent = 5.5957  Prediction Error = -3.45 
 Percent = 5.3128  Prediction Error = -3.45 
 Percent = 5.3128  Prediction Error = -3.511 
 Percent = 5.0395  Prediction Error = -3.511 
 Percent = 5.0395  Prediction Error = -3.572 
 Percent = 4.776  Prediction Error = -3.572 
 Percent = 4.776  Prediction Error = -3.634 
 Percent = 4.522  Prediction Error = -3.634 
 Percent = 4.522  Prediction Error = -3.695 
 Percent = 4.2776  Prediction Error = -3.695 
 Percent = 4.2776  Prediction Error = -3.757 
 Percent = 4.0428  Prediction Error = -3.757 
 Percent = 4.0428  Prediction Error = -3.818 
 Percent = 3.8173  Prediction Error = -3.818 
 Percent = 3.8173  Prediction Error = -3.88 
 Percent = 3.601  Prediction Error = -3.88 
 Percent = 3.601  Prediction Error = -3.941 
 Percent = 3.394  Prediction Error = -3.941 
 Percent = 3.394  Prediction Error = -4.002 
 Percent = 3.1958  Prediction Error = -4.002 
 Percent = 3.1958  Prediction Error = -4.064 
 Percent = 3.0065  Prediction Error = -4.064 
 Percent = 3.0065  Prediction Error = -4.125 
 Percent = 2.8258  Prediction Error = -4.125 
 Percent = 2.8258  Prediction Error = -4.187 
 Percent = 2.6536  Prediction Error = -4.187 
 Percent = 2.6536  Prediction Error = -4.248 
 Percent = 2.4895  Prediction Error = -4.248 
 Percent = 2.4895  Prediction Error = -4.31 
 Percent = 2.3334  Prediction Error = -4.31 
 Percent = 2.3334  Prediction Error = -4.371 
 Percent = 2.1852  Prediction Error = -4.371 
 Percent = 2.1852  Prediction Error = -4.433 
 Percent = 2.0444  Prediction Error = -4.433 
 Percent = 2.0444  Prediction Error = -4.494 
 Percent = 1.911  Prediction Error = -4.494 
 Percent = 1.911  Prediction Error = -4.555 
 Percent = 1.7846  Prediction Error = -4.555 
 Percent = 1.7846  Prediction Error = -4.617 
 Percent = 1.6651  Prediction Error = -4.617 
 Percent = 1.6651  Prediction Error = -4.678 
 Percent = 1.5521  Prediction Error = -4.678 
 Percent = 1.5521  Prediction Error = -4.74 
 Percent = 1.4455  Prediction Error = -4.74 
 Percent = 1.4455  Prediction Error = -4.801 
 Percent = 1.345  Prediction Error = -4.801 
 Percent = 1.345  Prediction Error = -4.863 
 Percent = 1.2503  Prediction Error = -4.863 
 Percent = 1.2503  Prediction Error = -4.924 
 Percent = 1.1612  Prediction Error = -4.924 
 Percent = 1.1612  Prediction Error = -4.985 
 Percent = 1.0775  Prediction Error = -4.985 
 Percent = 1.0775  Prediction Error = -5.047 
 Percent = 0.9989  Prediction Error = -5.047 
 Percent = 0.9989  Prediction Error = -5.108 
 Percent = 0.9251  Prediction Error = -5.108 
 Percent = 0.9251  Prediction Error = -5.17 
 Percent = 0.8561  Prediction Error = -5.17 
 Percent = 0.8561  Prediction Error = -5.231 
 Percent = 0.7914  Prediction Error = -5.231 
 Percent = 0.7914  Prediction Error = -5.293 
 Percent = 0.731  Prediction Error = -5.293 
 Percent = 0.731  Prediction Error = -5.354 
 Percent = 0.6746  Prediction Error = -5.354 
 Percent = 0.6746  Prediction Error = -5.415 
 Percent = 0.6219  Prediction Error = -5.415 
 Percent = 0.6219  Prediction Error = -5.477 
 Percent = 0.5728  Prediction Error = -5.477 
 Percent = 0.5728  Prediction Error = -5.538 
 Percent = 0.5272  Prediction Error = -5.538 
 Percent = 0.5272  Prediction Error = -5.6 
 Percent = 0.4847  Prediction Error = -5.6 
 Percent = 0.4847  Prediction Error = -5.661 
 Percent = 0.4452  Prediction Error = -5.661 
 Percent = 0.4452  Prediction Error = -5.723 
 Percent = 0.4086  Prediction Error = -5.723 
 Percent = 0.4086  Prediction Error = -5.784 
 Percent = 0.3746  Prediction Error = -5.784 
 Percent = 0.3746  Prediction Error = -5.845 
 Percent = 0.3432  Prediction Error = -5.845 
 Percent = 0.3432  Prediction Error = -5.907 
 Percent = 0.3141  Prediction Error = -5.907 
 Percent = 0.3141  Prediction Error = -5.968 
 Percent = 0.2872  Prediction Error = -5.968 
 Percent = 0.2872  Prediction Error = -6.03 
 Percent = 0.2623  Prediction Error = 4.8 
 Percent = 3.5714  Prediction Error = 4.8 
 Percent = 3.5714  Prediction Error = 3.6 
 Percent = 8.4821  Prediction Error = 3.6 
 Percent = 8.4821  Prediction Error = 2.4 
 Percent = 6.25  Prediction Error = 2.4 
 Percent = 6.25  Prediction Error = 1.2 
 Percent = 12.054  Prediction Error = 1.2 
 Percent = 12.054  Prediction Error = 0 
 Percent = 25.893  Prediction Error = 0 
 Percent = 25.893  Prediction Error = -1.2 
 Percent = 29.464  Prediction Error = -1.2 
 Percent = 29.464  Prediction Error = -2.4 
 Percent = 11.161  Prediction Error = -2.4 
 Percent = 11.161  Prediction Error = -3.6 
 Percent = 2.2321  Prediction Error = -3.6 
 Percent = 2.2321  Prediction Error = -4.8 
 Percent = 0.8929  Prediction Error = -4.8 
 Percent = 0.8929  Quantile = 2.7718 
 Residual = 4.9911  Quantile = 2.4448 
 Residual = 4.9809  Quantile = 2.2667 
 Residual = 4.9611  Quantile = 2.1403 
 Residual = 4.6575  Quantile = 2.041 
 Residual = 4.5582  Quantile = 1.9585 
 Residual = 4.4873  Quantile = 1.8876 
 Residual = 4.3206  Quantile = 1.825 
 Residual = 4.3055  Quantile = 1.7688 
 Residual = 4.131  Quantile = 1.7178 
 Residual = 4.1257  Quantile = 1.6708 
 Residual = 4.071  Quantile = 1.6273 
 Residual = 4.0611  Quantile = 1.5866 
 Residual = 4.0403  Quantile = 1.5484 
 Residual = 4.006  Quantile = 1.5124 
 Residual = 3.9961  Quantile = 1.4782 
 Residual = 3.7517  Quantile = 1.4457 
 Residual = 3.7368  Quantile = 1.4146 
 Residual = 3.6874  Quantile = 1.3848 
 Residual = 3.6791  Quantile = 1.3562 
 Residual = 3.6706  Quantile = 1.3287 
 Residual = 3.6006  Quantile = 1.3022 
 Residual = 3.5963  Quantile = 1.2765 
 Residual = 3.5378  Quantile = 1.2516 
 Residual = 3.311  Quantile = 1.2275 
 Residual = 3.3025  Quantile = 1.2041 
 Residual = 3.2201  Quantile = 1.1814 
 Residual = 3.1949  Quantile = 1.1592 
 Residual = 2.9854  Quantile = 1.1376 
 Residual = 2.9758  Quantile = 1.1165 
 Residual = 2.9753  Quantile = 1.0959 
 Residual = 2.9405  Quantile = 1.0757 
 Residual = 2.9354  Quantile = 1.056 
 Residual = 2.8932  Quantile = 1.0367 
 Residual = 2.879  Quantile = 1.0177 
 Residual = 2.5061  Quantile = 0.9991 
 Residual = 2.3026  Quantile = 0.9809 
 Residual = 2.2915  Quantile = 0.963 
 Residual = 2.2875  Quantile = 0.9453 
 Residual = 2.2609  Quantile = 0.928 
 Residual = 1.9469  Quantile = 0.911 
 Residual = 1.825  Quantile = 0.8942 
 Residual = 1.7795  Quantile = 0.8776 
 Residual = 1.7406  Quantile = 0.8613 
 Residual = 1.7352  Quantile = 0.8452 
 Residual = 1.659  Quantile = 0.8293 
 Residual = 1.6449  Quantile = 0.8137 
 Residual = 1.5968  Quantile = 0.7982 
 Residual = 1.5225  Quantile = 0.7829 
 Residual = 1.4099  Quantile = 0.7678 
 Residual = 1.383  Quantile = 0.7529 
 Residual = 1.3299  Quantile = 0.7381 
 Residual = 1.3173  Quantile = 0.7235 
 Residual = 1.2597  Quantile = 0.7091 
 Residual = 1.2073  Quantile = 0.6948 
 Residual = 1.1705  Quantile = 0.6806 
 Residual = 1.1362  Quantile = 0.6666 
 Residual = 1.1229  Quantile = 0.6527 
 Residual = 1.0642  Quantile = 0.639 
 Residual = 1.0538  Quantile = 0.6253 
 Residual = 1.0097  Quantile = 0.6118 
 Residual = 1  Quantile = 0.5983 
 Residual = 0.9874  Quantile = 0.585 
 Residual = 0.8795  Quantile = 0.5718 
 Residual = 0.8143  Quantile = 0.5587 
 Residual = 0.781  Quantile = 0.5457 
 Residual = 0.7758  Quantile = 0.5328 
 Residual = 0.6989  Quantile = 0.5199 
 Residual = 0.6755  Quantile = 0.5072 
 Residual = 0.5876  Quantile = 0.4945 
 Residual = 0.5806  Quantile = 0.4819 
 Residual = 0.5519  Quantile = 0.4694 
 Residual = 0.5456  Quantile = 0.4569 
 Residual = 0.4842  Quantile = 0.4446 
 Residual = 0.4834  Quantile = 0.4323 
 Residual = 0.464  Quantile = 0.42 
 Residual = 0.4476  Quantile = 0.4078 
 Residual = 0.3712  Quantile = 0.3957 
 Residual = 0.3592  Quantile = 0.3837 
 Residual = 0.2979  Quantile = 0.3717 
 Residual = 0.2954  Quantile = 0.3597 
 Residual = 0.2683  Quantile = 0.3478 
 Residual = 0.2613  Quantile = 0.336 
 Residual = 0.2177  Quantile = 0.3242 
 Residual = 0.1667  Quantile = 0.3124 
 Residual = 0.1434  Quantile = 0.3007 
 Residual = 0.1225  Quantile = 0.289 
 Residual = 0.1015  Quantile = 0.2774 
 Residual = 0.1005  Quantile = 0.2658 
 Residual = 0.0993  Quantile = 0.2542 
 Residual = 0.0322  Quantile = 0.2427 
 Residual = 0.0317  Quantile = 0.2312 
 Residual = 0.0259  Quantile = 0.2197 
 Residual = 0.0194  Quantile = 0.2083 
 Residual = 0.0173  Quantile = 0.1969 
 Residual = 0.0085  Quantile = 0.1855 
 Residual = 0.0059  Quantile = 0.1741 
 Residual = -0.016  Quantile = 0.1628 
 Residual = -0.027  Quantile = 0.1515 
 Residual = -0.057  Quantile = 0.1402 
 Residual = -0.11  Quantile = 0.1289 
 Residual = -0.176  Quantile = 0.1176 
 Residual = -0.235  Quantile = 0.1064 
 Residual = -0.253  Quantile = 0.0952 
 Residual = -0.278  Quantile = 0.0839 
 Residual = -0.289  Quantile = 0.0727 
 Residual = -0.295  Quantile = 0.0615 
 Residual = -0.369  Quantile = 0.0503 
 Residual = -0.419  Quantile = 0.0391 
 Residual = -0.428  Quantile = 0.0279 
 Residual = -0.429  Quantile = 0.0168 
 Residual = -0.434  Quantile = 0.0056 
 Residual = -0.435  Quantile = -0.006 
 Residual = -0.441  Quantile = -0.017 
 Residual = -0.458  Quantile = -0.028 
 Residual = -0.496  Quantile = -0.039 
 Residual = -0.499  Quantile = -0.05 
 Residual = -0.5  Quantile = -0.062 
 Residual = -0.505  Quantile = -0.073 
 Residual = -0.516  Quantile = -0.084 
 Residual = -0.518  Quantile = -0.095 
 Residual = -0.527  Quantile = -0.106 
 Residual = -0.534  Quantile = -0.118 
 Residual = -0.545  Quantile = -0.129 
 Residual = -0.565  Quantile = -0.14 
 Residual = -0.575  Quantile = -0.151 
 Residual = -0.582  Quantile = -0.163 
 Residual = -0.662  Quantile = -0.174 
 Residual = -0.674  Quantile = -0.185 
 Residual = -0.721  Quantile = -0.197 
 Residual = -0.757  Quantile = -0.208 
 Residual = -0.767  Quantile = -0.22 
 Residual = -0.788  Quantile = -0.231 
 Residual = -0.798  Quantile = -0.243 
 Residual = -0.818  Quantile = -0.254 
 Residual = -0.826  Quantile = -0.266 
 Residual = -0.83  Quantile = -0.277 
 Residual = -0.837  Quantile = -0.289 
 Residual = -0.838  Quantile = -0.301 
 Residual = -0.84  Quantile = -0.312 
 Residual = -0.845  Quantile = -0.324 
 Residual = -0.856  Quantile = -0.336 
 Residual = -0.886  Quantile = -0.348 
 Residual = -0.928  Quantile = -0.36 
 Residual = -0.929  Quantile = -0.372 
 Residual = -0.939  Quantile = -0.384 
 Residual = -0.943  Quantile = -0.396 
 Residual = -0.953  Quantile = -0.408 
 Residual = -1.003  Quantile = -0.42 
 Residual = -1.004  Quantile = -0.432 
 Residual = -1.021  Quantile = -0.445 
 Residual = -1.029  Quantile = -0.457 
 Residual = -1.046  Quantile = -0.469 
 Residual = -1.059  Quantile = -0.482 
 Residual = -1.071  Quantile = -0.494 
 Residual = -1.077  Quantile = -0.507 
 Residual = -1.095  Quantile = -0.52 
 Residual = -1.1  Quantile = -0.533 
 Residual = -1.106  Quantile = -0.546 
 Residual = -1.123  Quantile = -0.559 
 Residual = -1.152  Quantile = -0.572 
 Residual = -1.192  Quantile = -0.585 
 Residual = -1.196  Quantile = -0.598 
 Residual = -1.232  Quantile = -0.612 
 Residual = -1.247  Quantile = -0.625 
 Residual = -1.259  Quantile = -0.639 
 Residual = -1.267  Quantile = -0.653 
 Residual = -1.316  Quantile = -0.667 
 Residual = -1.388  Quantile = -0.681 
 Residual = -1.398  Quantile = -0.695 
 Residual = -1.402  Quantile = -0.709 
 Residual = -1.407  Quantile = -0.724 
 Residual = -1.444  Quantile = -0.738 
 Residual = -1.447  Quantile = -0.753 
 Residual = -1.453  Quantile = -0.768 
 Residual = -1.456  Quantile = -0.783 
 Residual = -1.468  Quantile = -0.798 
 Residual = -1.494  Quantile = -0.814 
 Residual = -1.509  Quantile = -0.829 
 Residual = -1.511  Quantile = -0.845 
 Residual = -1.519  Quantile = -0.861 
 Residual = -1.529  Quantile = -0.878 
 Residual = -1.543  Quantile = -0.894 
 Residual = -1.554  Quantile = -0.911 
 Residual = -1.594  Quantile = -0.928 
 Residual = -1.612  Quantile = -0.945 
 Residual = -1.619  Quantile = -0.963 
 Residual = -1.631  Quantile = -0.981 
 Residual = -1.668  Quantile = -0.999 
 Residual = -1.678  Quantile = -1.018 
 Residual = -1.697  Quantile = -1.037 
 Residual = -1.714  Quantile = -1.056 
 Residual = -1.75  Quantile = -1.076 
 Residual = -1.801  Quantile = -1.096 
 Residual = -1.868  Quantile = -1.116 
 Residual = -1.869  Quantile = -1.138 
 Residual = -1.909  Quantile = -1.159 
 Residual = -1.949  Quantile = -1.181 
 Residual = -1.965  Quantile = -1.204 
 Residual = -1.974  Quantile = -1.228 
 Residual = -1.985  Quantile = -1.252 
 Residual = -2.017  Quantile = -1.276 
 Residual = -2.032  Quantile = -1.302 
 Residual = -2.069  Quantile = -1.329 
 Residual = -2.08  Quantile = -1.356 
 Residual = -2.082  Quantile = -1.385 
 Residual = -2.112  Quantile = -1.415 
 Residual = -2.157  Quantile = -1.446 
 Residual = -2.247  Quantile = -1.478 
 Residual = -2.312  Quantile = -1.512 
 Residual = -2.448  Quantile = -1.548 
 Residual = -2.451  Quantile = -1.587 
 Residual = -2.461  Quantile = -1.627 
 Residual = -2.529  Quantile = -1.671 
 Residual = -2.562  Quantile = -1.718 
 Residual = -2.648  Quantile = -1.769 
 Residual = -2.693  Quantile = -1.825 
 Residual = -2.894  Quantile = -1.888 
 Residual = -3.029  Quantile = -1.959 
 Residual = -3.125  Quantile = -2.041 
 Residual = -3.372  Quantile = -2.14 
 Residual = -3.405  Quantile = -2.267 
 Residual = -4.04  Quantile = -2.445 
 Residual = -5.012  Quantile = -2.772 
 Residual = -5.037  Slope = 2.0273 
 Y = 0.0521  Lag = 24 
 ACF = -0.075  Lag = 23 
 ACF = -0.052  Lag = 22 
 ACF = 0.0775  Lag = 21 
 ACF = 0.0019  Lag = 20 
 ACF = 0.0439  Lag = 19 
 ACF = 0.0233  Lag = 18 
 ACF = 0.1289  Lag = 17 
 ACF = 0.0144  Lag = 16 
 ACF = 0.0047  Lag = 15 
 ACF = -0.07  Lag = 14 
 ACF = -0.002  Lag = 13 
 ACF = -0.105  Lag = 12 
 ACF = 0.0104  Lag = 11 
 ACF = 0.0037  Lag = 10 
 ACF = 0.1162  Lag = 9 
 ACF = 0.0396  Lag = 8 
 ACF = 0.062  Lag = 7 
 ACF = -0.119  Lag = 6 
 ACF = -0.018  Lag = 5 
 ACF = -0.051  Lag = 4 
 ACF = 0.0379  Lag = 3 
 ACF = -0.084  Lag = 2 
 ACF = 0.0406  Lag = 1 
 ACF = 0.0383  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.145 
 Upper = 0.1453  Lag = 23 
 Lower = -0.145 
 Upper = 0.145  Lag = 23 
 Lower = -0.145 
 Upper = 0.145  Lag = 22 
 Lower = -0.144 
 Upper = 0.1443  Lag = 22 
 Lower = -0.144 
 Upper = 0.1443  Lag = 21 
 Lower = -0.144 
 Upper = 0.1443  Lag = 21 
 Lower = -0.144 
 Upper = 0.1443  Lag = 20 
 Lower = -0.144 
 Upper = 0.144  Lag = 20 
 Lower = -0.144 
 Upper = 0.144  Lag = 19 
 Lower = -0.144 
 Upper = 0.144  Lag = 19 
 Lower = -0.144 
 Upper = 0.144  Lag = 18 
 Lower = -0.142 
 Upper = 0.1419  Lag = 18 
 Lower = -0.142 
 Upper = 0.1419  Lag = 17 
 Lower = -0.142 
 Upper = 0.1419  Lag = 17 
 Lower = -0.142 
 Upper = 0.1419  Lag = 16 
 Lower = -0.142 
 Upper = 0.1419  Lag = 16 
 Lower = -0.142 
 Upper = 0.1419  Lag = 15 
 Lower = -0.141 
 Upper = 0.1412  Lag = 15 
 Lower = -0.141 
 Upper = 0.1412  Lag = 14 
 Lower = -0.141 
 Upper = 0.1412  Lag = 14 
 Lower = -0.141 
 Upper = 0.1412  Lag = 13 
 Lower = -0.14 
 Upper = 0.1399  Lag = 13 
 Lower = -0.14 
 Upper = 0.1399  Lag = 12 
 Lower = -0.14 
 Upper = 0.1398  Lag = 12 
 Lower = -0.14 
 Upper = 0.1398  Lag = 11 
 Lower = -0.14 
 Upper = 0.1398  Lag = 11 
 Lower = -0.14 
 Upper = 0.1398  Lag = 10 
 Lower = -0.138 
 Upper = 0.1381  Lag = 10 
 Lower = -0.138 
 Upper = 0.1381  Lag = 9 
 Lower = -0.138 
 Upper = 0.1379  Lag = 9 
 Lower = -0.138 
 Upper = 0.1379  Lag = 8 
 Lower = -0.137 
 Upper = 0.1374  Lag = 8 
 Lower = -0.137 
 Upper = 0.1374  Lag = 7 
 Lower = -0.136 
 Upper = 0.1355  Lag = 7 
 Lower = -0.136 
 Upper = 0.1355  Lag = 6 
 Lower = -0.136 
 Upper = 0.1355  Lag = 6 
 Lower = -0.136 
 Upper = 0.1355  Lag = 5 
 Lower = -0.135 
 Upper = 0.1352  Lag = 5 
 Lower = -0.135 
 Upper = 0.1352  Lag = 4 
 Lower = -0.135 
 Upper = 0.135  Lag = 4 
 Lower = -0.135 
 Upper = 0.135  Lag = 3 
 Lower = -0.134 
 Upper = 0.134  Lag = 3 
 Lower = -0.134 
 Upper = 0.134  Lag = 2 
 Lower = -0.134 
 Upper = 0.1338  Lag = 2 
 Lower = -0.134 
 Upper = 0.1338  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.061  Lag = 23 
 PACF = -0.024  Lag = 22 
 PACF = 0.0687  Lag = 21 
 PACF = 0.017  Lag = 20 
 PACF = 0.0016  Lag = 19 
 PACF = 0.0046  Lag = 18 
 PACF = 0.1064  Lag = 17 
 PACF = 0.0456  Lag = 16 
 PACF = 0.0065  Lag = 15 
 PACF = -0.041  Lag = 14 
 PACF = -0.008  Lag = 13 
 PACF = -0.096  Lag = 12 
 PACF = -0.006  Lag = 11 
 PACF = 0.0088  Lag = 10 
 PACF = 0.0912  Lag = 9 
 PACF = 0.0437  Lag = 8 
 PACF = 0.0651  Lag = 7 
 PACF = -0.108  Lag = 6 
 PACF = -0.025  Lag = 5 
 PACF = -0.048  Lag = 4 
 PACF = 0.0433  Lag = 3 
 PACF = -0.087  Lag = 2 
 PACF = 0.0392  Lag = 1 
 PACF = 0.0383  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Sep2019 
 Loess Fit = 0.3969  Date_of_death = Jul2019 
 Loess Fit = 0.393  Date_of_death = Jul2019 
 Loess Fit = 0.393  Date_of_death = Jun2019 
 Loess Fit = 0.3891  Date_of_death = Jun2019 
 Loess Fit = 0.3891  Date_of_death = May2019 
 Loess Fit = 0.3852  Date_of_death = May2019 
 Loess Fit = 0.3852  Date_of_death = Apr2019 
 Loess Fit = 0.3813  Date_of_death = Apr2019 
 Loess Fit = 0.3813  Date_of_death = Mar2019 
 Loess Fit = 0.3774  Date_of_death = Mar2019 
 Loess Fit = 0.3774  Date_of_death = Feb2019 
 Loess Fit = 0.3735  Date_of_death = Feb2019 
 Loess Fit = 0.3735  Date_of_death = Jan2019 
 Loess Fit = 0.3697  Date_of_death = Jan2019 
 Loess Fit = 0.3697  Date_of_death = Dec2018 
 Loess Fit = 0.3658  Date_of_death = Dec2018 
 Loess Fit = 0.3658  Date_of_death = Oct2018 
 Loess Fit = 0.3619  Date_of_death = Oct2018 
 Loess Fit = 0.3619  Date_of_death = Sep2018 
 Loess Fit = 0.358  Date_of_death = Sep2018 
 Loess Fit = 0.358  Date_of_death = Aug2018 
 Loess Fit = 0.3541  Date_of_death = Aug2018 
 Loess Fit = 0.3541  Date_of_death = Jul2018 
 Loess Fit = 0.3502  Date_of_death = Jul2018 
 Loess Fit = 0.3502  Date_of_death = Jun2018 
 Loess Fit = 0.3468  Date_of_death = Jun2018 
 Loess Fit = 0.3468  Date_of_death = May2018 
 Loess Fit = 0.344  Date_of_death = May2018 
 Loess Fit = 0.344  Date_of_death = Apr2018 
 Loess Fit = 0.3413  Date_of_death = Apr2018 
 Loess Fit = 0.3413  Date_of_death = Mar2018 
 Loess Fit = 0.3385  Date_of_death = Mar2018 
 Loess Fit = 0.3385  Date_of_death = Feb2018 
 Loess Fit = 0.3357  Date_of_death = Feb2018 
 Loess Fit = 0.3357  Date_of_death = Dec2017 
 Loess Fit = 0.333  Date_of_death = Dec2017 
 Loess Fit = 0.333  Date_of_death = Nov2017 
 Loess Fit = 0.3302  Date_of_death = Nov2017 
 Loess Fit = 0.3302  Date_of_death = Oct2017 
 Loess Fit = 0.3274  Date_of_death = Oct2017 
 Loess Fit = 0.3274  Date_of_death = Sep2017 
 Loess Fit = 0.3246  Date_of_death = Sep2017 
 Loess Fit = 0.3246  Date_of_death = Aug2017 
 Loess Fit = 0.3219  Date_of_death = Aug2017 
 Loess Fit = 0.3219  Date_of_death = Jul2017 
 Loess Fit = 0.3191  Date_of_death = Jul2017 
 Loess Fit = 0.3191  Date_of_death = Jun2017 
 Loess Fit = 0.3163  Date_of_death = Jun2017 
 Loess Fit = 0.3163  Date_of_death = May2017 
 Loess Fit = 0.3136  Date_of_death = May2017 
 Loess Fit = 0.3136  Date_of_death = Apr2017 
 Loess Fit = 0.311  Date_of_death = Apr2017 
 Loess Fit = 0.311  Date_of_death = Feb2017 
 Loess Fit = 0.3085  Date_of_death = Feb2017 
 Loess Fit = 0.3085  Date_of_death = Jan2017 
 Loess Fit = 0.306  Date_of_death = Jan2017 
 Loess Fit = 0.306  Date_of_death = Dec2016 
 Loess Fit = 0.3034  Date_of_death = Dec2016 
 Loess Fit = 0.3034  Date_of_death = Nov2016 
 Loess Fit = 0.3009  Date_of_death = Nov2016 
 Loess Fit = 0.3009  Date_of_death = Oct2016 
 Loess Fit = 0.2984  Date_of_death = Oct2016 
 Loess Fit = 0.2984  Date_of_death = Sep2016 
 Loess Fit = 0.2959  Date_of_death = Sep2016 
 Loess Fit = 0.2959  Date_of_death = Aug2016 
 Loess Fit = 0.2934  Date_of_death = Aug2016 
 Loess Fit = 0.2934  Date_of_death = Jul2016 
 Loess Fit = 0.2908  Date_of_death = Jul2016 
 Loess Fit = 0.2908  Date_of_death = May2016 
 Loess Fit = 0.2883  Date_of_death = May2016 
 Loess Fit = 0.2883  Date_of_death = Apr2016 
 Loess Fit = 0.2858  Date_of_death = Apr2016 
 Loess Fit = 0.2858  Date_of_death = Mar2016 
 Loess Fit = 0.2833  Date_of_death = Mar2016 
 Loess Fit = 0.2833  Date_of_death = Feb2016 
 Loess Fit = 0.28  Date_of_death = Feb2016 
 Loess Fit = 0.28  Date_of_death = Jan2016 
 Loess Fit = 0.2752  Date_of_death = Jan2016 
 Loess Fit = 0.2752  Date_of_death = Dec2015 
 Loess Fit = 0.2703  Date_of_death = Dec2015 
 Loess Fit = 0.2703  Date_of_death = Nov2015 
 Loess Fit = 0.2654  Date_of_death = Nov2015 
 Loess Fit = 0.2654  Date_of_death = Oct2015 
 Loess Fit = 0.2605  Date_of_death = Oct2015 
 Loess Fit = 0.2605  Date_of_death = Sep2015 
 Loess Fit = 0.2556  Date_of_death = Sep2015 
 Loess Fit = 0.2556  Date_of_death = Jul2015 
 Loess Fit = 0.2508  Date_of_death = Jul2015 
 Loess Fit = 0.2508  Date_of_death = Jun2015 
 Loess Fit = 0.2459  Date_of_death = Jun2015 
 Loess Fit = 0.2459  Date_of_death = May2015 
 Loess Fit = 0.241  Date_of_death = May2015 
 Loess Fit = 0.241  Date_of_death = Apr2015 
 Loess Fit = 0.2361  Date_of_death = Apr2015 
 Loess Fit = 0.2361  Date_of_death = Mar2015 
 Loess Fit = 0.2312  Date_of_death = Mar2015 
 Loess Fit = 0.2312  Date_of_death = Feb2015 
 Loess Fit = 0.2264  Date_of_death = Feb2015 
 Loess Fit = 0.2264  Date_of_death = Jan2015 
 Loess Fit = 0.2215  Date_of_death = Jan2015 
 Loess Fit = 0.2215  Date_of_death = Dec2014 
 Loess Fit = 0.2193  Date_of_death = Dec2014 
 Loess Fit = 0.2193  Date_of_death = Nov2014 
 Loess Fit = 0.218  Date_of_death = Nov2014 
 Loess Fit = 0.218  Date_of_death = Sep2014 
 Loess Fit = 0.2167  Date_of_death = Sep2014 
 Loess Fit = 0.2167  Date_of_death = Aug2014 
 Loess Fit = 0.2153  Date_of_death = Aug2014 
 Loess Fit = 0.2153  Date_of_death = Jul2014 
 Loess Fit = 0.214  Date_of_death = Jul2014 
 Loess Fit = 0.214  Date_of_death = Jun2014 
 Loess Fit = 0.2126  Date_of_death = Jun2014 
 Loess Fit = 0.2126  Date_of_death = May2014 
 Loess Fit = 0.2113  Date_of_death = May2014 
 Loess Fit = 0.2113  Date_of_death = Apr2014 
 Loess Fit = 0.21  Date_of_death = Apr2014 
 Loess Fit = 0.21  Date_of_death = Mar2014 
 Loess Fit = 0.2086  Date_of_death = Mar2014 
 Loess Fit = 0.2086  Date_of_death = Feb2014 
 Loess Fit = 0.2073  Date_of_death = Feb2014 
 Loess Fit = 0.2073  Date_of_death = Dec2013 
 Loess Fit = 0.2059  Date_of_death = Dec2013 
 Loess Fit = 0.2059  Date_of_death = Nov2013 
 Loess Fit = 0.2046  Date_of_death = Nov2013 
 Loess Fit = 0.2046  Date_of_death = Oct2013 
 Loess Fit = 0.202  Date_of_death = Oct2013 
 Loess Fit = 0.202  Date_of_death = Sep2013 
 Loess Fit = 0.1949  Date_of_death = Sep2013 
 Loess Fit = 0.1949  Date_of_death = Aug2013 
 Loess Fit = 0.1878  Date_of_death = Aug2013 
 Loess Fit = 0.1878  Date_of_death = Jul2013 
 Loess Fit = 0.1808  Date_of_death = Jul2013 
 Loess Fit = 0.1808  Date_of_death = Jun2013 
 Loess Fit = 0.1737  Date_of_death = Jun2013 
 Loess Fit = 0.1737  Date_of_death = May2013 
 Loess Fit = 0.1666  Date_of_death = May2013 
 Loess Fit = 0.1666  Date_of_death = Apr2013 
 Loess Fit = 0.1596  Date_of_death = Apr2013 
 Loess Fit = 0.1596  Date_of_death = Feb2013 
 Loess Fit = 0.1525  Date_of_death = Feb2013 
 Loess Fit = 0.1525  Date_of_death = Jan2013 
 Loess Fit = 0.1454  Date_of_death = Jan2013 
 Loess Fit = 0.1454  Date_of_death = Dec2012 
 Loess Fit = 0.1383  Date_of_death = Dec2012 
 Loess Fit = 0.1383  Date_of_death = Nov2012 
 Loess Fit = 0.1313  Date_of_death = Nov2012 
 Loess Fit = 0.1313  Date_of_death = Oct2012 
 Loess Fit = 0.1242  Date_of_death = Oct2012 
 Loess Fit = 0.1242  Date_of_death = Sep2012 
 Loess Fit = 0.1171  Date_of_death = Sep2012 
 Loess Fit = 0.1171  Date_of_death = Aug2012 
 Loess Fit = 0.1091  Date_of_death = Aug2012 
 Loess Fit = 0.1091  Date_of_death = Jul2012 
 Loess Fit = 0.1007  Date_of_death = Jul2012 
 Loess Fit = 0.1007  Date_of_death = Jun2012 
 Loess Fit = 0.0922  Date_of_death = Jun2012 
 Loess Fit = 0.0922  Date_of_death = Apr2012 
 Loess Fit = 0.0837  Date_of_death = Apr2012 
 Loess Fit = 0.0837  Date_of_death = Mar2012 
 Loess Fit = 0.0753  Date_of_death = Mar2012 
 Loess Fit = 0.0753  Date_of_death = Feb2012 
 Loess Fit = 0.0668  Date_of_death = Feb2012 
 Loess Fit = 0.0668  Date_of_death = Jan2012 
 Loess Fit = 0.0583  Date_of_death = Jan2012 
 Loess Fit = 0.0583  Date_of_death = Dec2011 
 Loess Fit = 0.0499  Date_of_death = Dec2011 
 Loess Fit = 0.0499  Date_of_death = Nov2011 
 Loess Fit = 0.0414  Date_of_death = Nov2011 
 Loess Fit = 0.0414  Date_of_death = Oct2011 
 Loess Fit = 0.0329  Date_of_death = Oct2011 
 Loess Fit = 0.0329  Date_of_death = Sep2011 
 Loess Fit = 0.0245  Date_of_death = Sep2011 
 Loess Fit = 0.0245  Date_of_death = Aug2011 
 Loess Fit = 0.016  Date_of_death = Aug2011 
 Loess Fit = 0.016  Date_of_death = Jun2011 
 Loess Fit = 0.0081  Date_of_death = Jun2011 
 Loess Fit = 0.0081  Date_of_death = May2011 
 Loess Fit = 0.0092  Date_of_death = May2011 
 Loess Fit = 0.0092  Date_of_death = Apr2011 
 Loess Fit = 0.0104  Date_of_death = Apr2011 
 Loess Fit = 0.0104  Date_of_death = Mar2011 
 Loess Fit = 0.0115  Date_of_death = Mar2011 
 Loess Fit = 0.0115  Date_of_death = Feb2011 
 Loess Fit = 0.0127  Date_of_death = Feb2011 
 Loess Fit = 0.0127  Date_of_death = Jan2011 
 Loess Fit = 0.0138  Date_of_death = Jan2011 
 Loess Fit = 0.0138  Date_of_death = Dec2010 
 Loess Fit = 0.015  Date_of_death = Dec2010 
 Loess Fit = 0.015  Date_of_death = Nov2010 
 Loess Fit = 0.0161  Date_of_death = Nov2010 
 Loess Fit = 0.0161  Date_of_death = Sep2010 
 Loess Fit = 0.0173  Date_of_death = Sep2010 
 Loess Fit = 0.0173  Date_of_death = Aug2010 
 Loess Fit = 0.0184  Date_of_death = Aug2010 
 Loess Fit = 0.0184  Date_of_death = Jul2010 
 Loess Fit = 0.0196  Date_of_death = Jul2010 
 Loess Fit = 0.0196  Date_of_death = Jun2010 
 Loess Fit = 0.0207  Date_of_death = Jun2010 
 Loess Fit = 0.0207  Date_of_death = May2010 
 Loess Fit = 0.0219  Date_of_death = May2010 
 Loess Fit = 0.0219  Date_of_death = Apr2010 
 Loess Fit = 0.0218  Date_of_death = Apr2010 
 Loess Fit = 0.0218  Date_of_death = Mar2010 
 Loess Fit = 0.0204  Date_of_death = Mar2010 
 Loess Fit = 0.0204  Date_of_death = Feb2010 
 Loess Fit = 0.019  Date_of_death = Feb2010 
 Loess Fit = 0.019  Date_of_death = Jan2010 
 Loess Fit = 0.0177  Date_of_death = Jan2010 
 Loess Fit = 0.0177  Date_of_death = Nov2009 
 Loess Fit = 0.0163  Date_of_death = Nov2009 
 Loess Fit = 0.0163  Date_of_death = Oct2009 
 Loess Fit = 0.0149  Date_of_death = Oct2009 
 Loess Fit = 0.0149  Date_of_death = Sep2009 
 Loess Fit = 0.0135  Date_of_death = Sep2009 
 Loess Fit = 0.0135  Date_of_death = Aug2009 
 Loess Fit = 0.0122  Date_of_death = Aug2009 
 Loess Fit = 0.0122  Date_of_death = Jul2009 
 Loess Fit = 0.0108  Date_of_death = Jul2009 
 Loess Fit = 0.0108  Date_of_death = Jun2009 
 Loess Fit = 0.0094  Date_of_death = Jun2009 
 Loess Fit = 0.0094  Date_of_death = May2009 
 Loess Fit = 0.0081  Date_of_death = May2009 
 Loess Fit = 0.0081  Date_of_death = Apr2009 
 Loess Fit = 0.0067  Date_of_death = Apr2009 
 Loess Fit = 0.0067  Date_of_death = Mar2009 
 Loess Fit = 0.0053  Date_of_death = Mar2009 
 Loess Fit = 0.0053  Date_of_death = Jan2009 
 Loess Fit = -0.003  Date_of_death = Jan2009 
 Loess Fit = -0.003  Date_of_death = Dec2008 
 Loess Fit = -0.011  Date_of_death = Dec2008 
 Loess Fit = -0.011  Date_of_death = Nov2008 
 Loess Fit = -0.02  Date_of_death = Nov2008 
 Loess Fit = -0.02  Date_of_death = Oct2008 
 Loess Fit = -0.028  Date_of_death = Oct2008 
 Loess Fit = -0.028  Date_of_death = Sep2008 
 Loess Fit = -0.036  Date_of_death = Sep2008 
 Loess Fit = -0.036  Date_of_death = Aug2008 
 Loess Fit = -0.045  Date_of_death = Aug2008 
 Loess Fit = -0.045  Date_of_death = Jul2008 
 Loess Fit = -0.053  Date_of_death = Jul2008 
 Loess Fit = -0.053  Date_of_death = Jun2008 
 Loess Fit = -0.062  Date_of_death = Jun2008 
 Loess Fit = -0.062  Date_of_death = May2008 
 Loess Fit = -0.07  Date_of_death = May2008 
 Loess Fit = -0.07  Date_of_death = Mar2008 
 Loess Fit = -0.078  Date_of_death = Mar2008 
 Loess Fit = -0.078  Date_of_death = Feb2008 
 Loess Fit = -0.087  Date_of_death = Feb2008 
 Loess Fit = -0.087  Date_of_death = Jan2008 
 Loess Fit = -0.095  Date_of_death = Jan2008 
 Loess Fit = -0.095  Date_of_death = Dec2007 
 Loess Fit = -0.104  Date_of_death = Dec2007 
 Loess Fit = -0.104  Date_of_death = Nov2007 
 Loess Fit = -0.115  Date_of_death = Nov2007 
 Loess Fit = -0.115  Date_of_death = Oct2007 
 Loess Fit = -0.126  Date_of_death = Oct2007 
 Loess Fit = -0.126  Date_of_death = Sep2007 
 Loess Fit = -0.136  Date_of_death = Sep2007 
 Loess Fit = -0.136  Date_of_death = Aug2007 
 Loess Fit = -0.147  Date_of_death = Aug2007 
 Loess Fit = -0.147  Date_of_death = Jul2007 
 Loess Fit = -0.157  Date_of_death = Jul2007 
 Loess Fit = -0.157  Date_of_death = May2007 
 Loess Fit = -0.168  Date_of_death = May2007 
 Loess Fit = -0.168  Date_of_death = Apr2007 
 Loess Fit = -0.179  Date_of_death = Apr2007 
 Loess Fit = -0.179  Date_of_death = Mar2007 
 Loess Fit = -0.189  Date_of_death = Mar2007 
 Loess Fit = -0.189  Date_of_death = Feb2007 
 Loess Fit = -0.2  Date_of_death = Feb2007 
 Loess Fit = -0.2  Date_of_death = Jan2007 
 Loess Fit = -0.21  Date_of_death = Jan2007 
 Loess Fit = -0.21  Date_of_death = Dec2006 
 Loess Fit = -0.221  Date_of_death = Dec2006 
 Loess Fit = -0.221  Date_of_death = Nov2006 
 Loess Fit = -0.231  Date_of_death = Nov2006 
 Loess Fit = -0.231  Date_of_death = Oct2006 
 Loess Fit = -0.245  Date_of_death = Oct2006 
 Loess Fit = -0.245  Date_of_death = Aug2006 
 Loess Fit = -0.259  Date_of_death = Aug2006 
 Loess Fit = -0.259  Date_of_death = Jul2006 
 Loess Fit = -0.273  Date_of_death = Jul2006 
 Loess Fit = -0.273  Date_of_death = Jun2006 
 Loess Fit = -0.287  Date_of_death = Jun2006 
 Loess Fit = -0.287  Date_of_death = May2006 
 Loess Fit = -0.301  Date_of_death = May2006 
 Loess Fit = -0.301  Date_of_death = Apr2006 
 Loess Fit = -0.315  Date_of_death = Apr2006 
 Loess Fit = -0.315  Date_of_death = Mar2006 
 Loess Fit = -0.329  Date_of_death = Mar2006 
 Loess Fit = -0.329  Date_of_death = Feb2006 
 Loess Fit = -0.342  Date_of_death = Feb2006 
 Loess Fit = -0.342  Date_of_death = Jan2006 
 Loess Fit = -0.356  Date_of_death = Jan2006 
 Loess Fit = -0.356  Date_of_death = Dec2005 
 Loess Fit = -0.37  Date_of_death = Dec2005 
 Loess Fit = -0.37  Date_of_death = Oct2005 
 Loess Fit = -0.384  Date_of_death = Oct2005 
 Loess Fit = -0.384  Date_of_death = Sep2005 
 Loess Fit = -0.398  Date_of_death = Sep2005 
 Loess Fit = -0.398  Date_of_death = Aug2005 
 Loess Fit = -0.405  Date_of_death = Aug2005 
 Loess Fit = -0.405  Date_of_death = Jul2005 
 Loess Fit = -0.396  Date_of_death = Jul2005 
 Loess Fit = -0.396  Date_of_death = Jun2005 
 Loess Fit = -0.388  Date_of_death = Jun2005 
 Loess Fit = -0.388  Date_of_death = May2005 
 Loess Fit = -0.379  Date_of_death = May2005 
 Loess Fit = -0.379  Date_of_death = Apr2005 
 Loess Fit = -0.37  Date_of_death = Apr2005 
 Loess Fit = -0.37  Date_of_death = Mar2005 
 Loess Fit = -0.361  Date_of_death = Mar2005 
 Loess Fit = -0.361  Date_of_death = Jan2005 
 Loess Fit = -0.353  Date_of_death = Jan2005 
 Loess Fit = -0.353  Date_of_death = Dec2004 
 Loess Fit = -0.344  Date_of_death = Dec2004 
 Loess Fit = -0.344  Date_of_death = Nov2004 
 Loess Fit = -0.335  Date_of_death = Nov2004 
 Loess Fit = -0.335  Date_of_death = Oct2004 
 Loess Fit = -0.326  Date_of_death = Oct2004 
 Loess Fit = -0.326  Date_of_death = Sep2004 
 Loess Fit = -0.318  Date_of_death = Sep2004 
 Loess Fit = -0.318  Date_of_death = Aug2004 
 Loess Fit = -0.309  Date_of_death = Aug2004 
 Loess Fit = -0.309  Date_of_death = Jul2004 
 Loess Fit = -0.3  Date_of_death = Jul2004 
 Loess Fit = -0.3  Date_of_death = Jun2004 
 Loess Fit = -0.283  Date_of_death = Jun2004 
 Loess Fit = -0.283  Date_of_death = May2004 
 Loess Fit = -0.262  Date_of_death = May2004 
 Loess Fit = -0.262  Date_of_death = Mar2004 
 Loess Fit = -0.241  Date_of_death = Mar2004 
 Loess Fit = -0.241  Date_of_death = Feb2004 
 Loess Fit = -0.22  Date_of_death = Feb2004 
 Loess Fit = -0.22  Date_of_death = Jan2004 
 Loess Fit = -0.199  Date_of_death = Jan2004 
 Loess Fit = -0.199  Date_of_death = Dec2003 
 Loess Fit = -0.178  Date_of_death = Dec2003 
 Loess Fit = -0.178  Date_of_death = Nov2003 
 Loess Fit = -0.157  Date_of_death = Nov2003 
 Loess Fit = -0.157  Date_of_death = Oct2003 
 Loess Fit = -0.136  Date_of_death = Oct2003 
 Loess Fit = -0.136  Date_of_death = Sep2003 
 Loess Fit = -0.115  Date_of_death = Sep2003 
 Loess Fit = -0.115  Date_of_death = Aug2003 
 Loess Fit = -0.094  Date_of_death = Aug2003 
 Loess Fit = -0.094  Date_of_death = Jul2003 
 Loess Fit = -0.073  Date_of_death = Jul2003 
 Loess Fit = -0.073  Date_of_death = May2003 
 Loess Fit = -0.052  Date_of_death = May2003 
 Loess Fit = -0.052  Date_of_death = Apr2003 
 Loess Fit = -0.03  Date_of_death = Apr2003 
 Loess Fit = -0.03  Date_of_death = Mar2003 
 Loess Fit = -0.006  Date_of_death = Mar2003 
 Loess Fit = -0.006  Date_of_death = Feb2003 
 Loess Fit = 0.0188  Date_of_death = Feb2003 
 Loess Fit = 0.0188  Date_of_death = Jan2003 
 Loess Fit = 0.0432  Date_of_death = Jan2003 
 Loess Fit = 0.0432  Date_of_death = Dec2002 
 Loess Fit = 0.0676  Date_of_death = Dec2002 
 Loess Fit = 0.0676  Date_of_death = Nov2002 
 Loess Fit = 0.092  Date_of_death = Nov2002 
 Loess Fit = 0.092  Date_of_death = Oct2002 
 Loess Fit = 0.1164  Date_of_death = Oct2002 
 Loess Fit = 0.1164  Date_of_death = Aug2002 
 Loess Fit = 0.1408  Date_of_death = Aug2002 
 Loess Fit = 0.1408  Date_of_death = Jul2002 
 Loess Fit = 0.1652  Date_of_death = Jul2002 
 Loess Fit = 0.1652  Date_of_death = Jun2002 
 Loess Fit = 0.1896  Date_of_death = Jun2002 
 Loess Fit = 0.1896  Date_of_death = May2002 
 Loess Fit = 0.214  Date_of_death = May2002 
 Loess Fit = 0.214  Date_of_death = Apr2002 
 Loess Fit = 0.2384  Date_of_death = Apr2002 
 Loess Fit = 0.2384  Date_of_death = Mar2002 
 Loess Fit = 0.2628  Date_of_death = Mar2002 
 Loess Fit = 0.2628  Date_of_death = Feb2002 
 Loess Fit = 0.2891  Date_of_death = Feb2002 
 Loess Fit = 0.2891  Date_of_death = Jan2002 
 Loess Fit = 0.3167  Date_of_death = Jan2002 
 Loess Fit = 0.3167  Date_of_death = Dec2001 
 Loess Fit = 0.3443  Date_of_death = Dec2001 
 Loess Fit = 0.3443  Date_of_death = Oct2001 
 Loess Fit = 0.3719  Date_of_death = Oct2001 
 Loess Fit = 0.3719  Date_of_death = Sep2001 
 Loess Fit = 0.3995  Date_of_death = Sep2001 
 Loess Fit = 0.3995  Date_of_death = Aug2001 
 Loess Fit = 0.4271  Date_of_death = Aug2001 
 Loess Fit = 0.4271  Date_of_death = Jul2001 
 Loess Fit = 0.4547  Date_of_death = Jul2001 
 Loess Fit = 0.4547  Date_of_death = Jun2001 
 Loess Fit = 0.4823  Date_of_death = Jun2001 
 Loess Fit = 0.4823  Date_of_death = May2001 
 Loess Fit = 0.5099  Date_of_death = May2001 
 Loess Fit = 0.5099  Date_of_death = Apr2001 
 Loess Fit = 0.5375  Date_of_death = Apr2001 
 Loess Fit = 0.5375  Date_of_death = Mar2001 
 Loess Fit = 0.5651  Date_of_death = Mar2001 
 Loess Fit = 0.5651  Date_of_death = Feb2001 
 Loess Fit = 0.5927  Date_of_death = Sep2019 
 Prediction Error = -0.176  Date_of_death = Aug2019 
 Prediction Error = -1.697  Date_of_death = Jul2019 
 Prediction Error = 0.5876  Date_of_death = Jun2019 
 Prediction Error = -2.112  Date_of_death = May2019 
 Prediction Error = -1.267  Date_of_death = Apr2019 
 Prediction Error = 2.9405  Date_of_death = Mar2019 
 Prediction Error = 2.9758  Date_of_death = Feb2019 
 Prediction Error = 4.0611  Date_of_death = Jan2019 
 Prediction Error = 0.4476  Date_of_death = Dec2018 
 Prediction Error = -1.456  Date_of_death = Nov2018 
 Prediction Error = 2.2609  Date_of_death = Oct2018 
 Prediction Error = 0.5806  Date_of_death = Sep2018 
 Prediction Error = -1.1  Date_of_death = Aug2018 
 Prediction Error = -0.565  Date_of_death = Jul2018 
 Prediction Error = -2.448  Date_of_death = Jun2018 
 Prediction Error = 3.311  Date_of_death = May2018 
 Prediction Error = 3.2201  Date_of_death = Apr2018 
 Prediction Error = -1.985  Date_of_death = Mar2018 
 Prediction Error = 1.2073  Date_of_death = Feb2018 
 Prediction Error = -0.943  Date_of_death = Jan2018 
 Prediction Error = -0.545  Date_of_death = Dec2017 
 Prediction Error = -1.519  Date_of_death = Nov2017 
 Prediction Error = 3.5378  Date_of_death = Oct2017 
 Prediction Error = 0.6755  Date_of_death = Sep2017 
 Prediction Error = -1.106  Date_of_death = Aug2017 
 Prediction Error = -1.612  Date_of_death = Jul2017 
 Prediction Error = 2.879  Date_of_death = Jun2017 
 Prediction Error = 3.6791  Date_of_death = May2017 
 Prediction Error = -0.757  Date_of_death = Apr2017 
 Prediction Error = 0.1434  Date_of_death = Mar2017 
 Prediction Error = 3.6006  Date_of_death = Feb2017 
 Prediction Error = -0.826  Date_of_death = Jan2017 
 Prediction Error = 2.8932  Date_of_death = Dec2016 
 Prediction Error = -0.278  Date_of_death = Nov2016 
 Prediction Error = -0.289  Date_of_death = Oct2016 
 Prediction Error = -1.247  Date_of_death = Sep2016 
 Prediction Error = -1.004  Date_of_death = Aug2016 
 Prediction Error = -1.554  Date_of_death = Jul2016 
 Prediction Error = -1.123  Date_of_death = Jun2016 
 Prediction Error = -1.444  Date_of_death = May2016 
 Prediction Error = -0.845  Date_of_death = Apr2016 
 Prediction Error = -2.082  Date_of_death = Mar2016 
 Prediction Error = 0.4842  Date_of_death = Feb2016 
 Prediction Error = 1.1229  Date_of_death = Jan2016 
 Prediction Error = 2.9753  Date_of_death = Dec2015 
 Prediction Error = -1.529  Date_of_death = Nov2015 
 Prediction Error = -0.458  Date_of_death = Oct2015 
 Prediction Error = 0.6989  Date_of_death = Sep2015 
 Prediction Error = 3.1949  Date_of_death = Aug2015 
 Prediction Error = 1.5968  Date_of_death = Jul2015 
 Prediction Error = -2.247  Date_of_death = Jun2015 
 Prediction Error = 1.7795  Date_of_death = May2015 
 Prediction Error = 0.2979  Date_of_death = Apr2015 
 Prediction Error = -1.003  Date_of_death = Mar2015 
 Prediction Error = -1.511  Date_of_death = Feb2015 
 Prediction Error = 1.3173  Date_of_death = Jan2015 
 Prediction Error = -1.077  Date_of_death = Dec2014 
 Prediction Error = -0.516  Date_of_death = Nov2014 
 Prediction Error = -1.543  Date_of_death = Oct2014 
 Prediction Error = 0.7758  Date_of_death = Sep2014 
 Prediction Error = -0.939  Date_of_death = Aug2014 
 Prediction Error = 1.659  Date_of_death = Jul2014 
 Prediction Error = -1.398  Date_of_death = Jun2014 
 Prediction Error = 4.071  Date_of_death = May2014 
 Prediction Error = -0.788  Date_of_death = Apr2014 
 Prediction Error = 3.3025  Date_of_death = Mar2014 
 Prediction Error = 1.7352  Date_of_death = Feb2014 
 Prediction Error = 0.464  Date_of_death = Jan2014 
 Prediction Error = 1.1705  Date_of_death = Dec2013 
 Prediction Error = 4.0403  Date_of_death = Nov2013 
 Prediction Error = -1.402  Date_of_death = Oct2013 
 Prediction Error = 0.0259  Date_of_death = Sep2013 
 Prediction Error = 3.6706  Date_of_death = Aug2013 
 Prediction Error = -1.152  Date_of_death = Jul2013 
 Prediction Error = -2.312  Date_of_death = Jun2013 
 Prediction Error = -0.818  Date_of_death = May2013 
 Prediction Error = -0.674  Date_of_death = Apr2013 
 Prediction Error = -0.662  Date_of_death = Mar2013 
 Prediction Error = -0.235  Date_of_death = Feb2013 
 Prediction Error = 0.5519  Date_of_death = Jan2013 
 Prediction Error = -2.017  Date_of_death = Dec2012 
 Prediction Error = 1.0538  Date_of_death = Nov2012 
 Prediction Error = -0.505  Date_of_death = Oct2012 
 Prediction Error = 1.0642  Date_of_death = Sep2012 
 Prediction Error = -0.496  Date_of_death = Aug2012 
 Prediction Error = -1.388  Date_of_death = Jul2012 
 Prediction Error = -0.434  Date_of_death = Jun2012 
 Prediction Error = 0.1225  Date_of_death = May2012 
 Prediction Error = 1.4099  Date_of_death = Apr2012 
 Prediction Error = -1.868  Date_of_death = Mar2012 
 Prediction Error = 4.131  Date_of_death = Feb2012 
 Prediction Error = 1.7406  Date_of_death = Jan2012 
 Prediction Error = -2.157  Date_of_death = Dec2011 
 Prediction Error = 0.1005  Date_of_death = Nov2011 
 Prediction Error = -0.518  Date_of_death = Oct2011 
 Prediction Error = 4.5582  Date_of_death = Sep2011 
 Prediction Error = -0.441  Date_of_death = Aug2011 
 Prediction Error = 1.9469  Date_of_death = Jul2011 
 Prediction Error = -2.529  Date_of_death = Jun2011 
 Prediction Error = -0.837  Date_of_death = May2011 
 Prediction Error = -1.678  Date_of_death = Apr2011 
 Prediction Error = 3.5963  Date_of_death = Mar2011 
 Prediction Error = 0.2177  Date_of_death = Feb2011 
 Prediction Error = 0.8795  Date_of_death = Jan2011 
 Prediction Error = -1.192  Date_of_death = Dec2010 
 Prediction Error = 1.3299  Date_of_death = Nov2010 
 Prediction Error = -1.594  Date_of_death = Oct2010 
 Prediction Error = -0.499  Date_of_death = Sep2010 
 Prediction Error = -1.631  Date_of_death = Aug2010 
 Prediction Error = -1.259  Date_of_death = Jul2010 
 Prediction Error = -2.894  Date_of_death = Jun2010 
 Prediction Error = 0.1015  Date_of_death = May2010 
 Prediction Error = -1.949  Date_of_death = Apr2010 
 Prediction Error = -1.75  Date_of_death = Mar2010 
 Prediction Error = 0.0317  Date_of_death = Feb2010 
 Prediction Error = -0.369  Date_of_death = Jan2010 
 Prediction Error = -0.435  Date_of_death = Dec2009 
 Prediction Error = 1.2597  Date_of_death = Nov2009 
 Prediction Error = 0.2613  Date_of_death = Oct2009 
 Prediction Error = 1.5225  Date_of_death = Sep2009 
 Prediction Error = -1.974  Date_of_death = Aug2009 
 Prediction Error = -0.419  Date_of_death = Jul2009 
 Prediction Error = -1.095  Date_of_death = Jun2009 
 Prediction Error = 0.0173  Date_of_death = May2009 
 Prediction Error = 1.1362  Date_of_death = Apr2009 
 Prediction Error = -0.856  Date_of_death = Mar2009 
 Prediction Error = 0.0194  Date_of_death = Feb2009 
 Prediction Error = -0.429  Date_of_death = Jan2009 
 Prediction Error = 2.9354  Date_of_death = Dec2008 
 Prediction Error = -0.838  Date_of_death = Nov2008 
 Prediction Error = 0.2954  Date_of_death = Oct2008 
 Prediction Error = -0.575  Date_of_death = Sep2008 
 Prediction Error = 0.0322  Date_of_death = Aug2008 
 Prediction Error = 4.1257  Date_of_death = Jul2008 
 Prediction Error = 2.2915  Date_of_death = Jun2008 
 Prediction Error = 0.1667  Date_of_death = May2008 
 Prediction Error = 3.7368  Date_of_death = Apr2008 
 Prediction Error = -0.767  Date_of_death = Mar2008 
 Prediction Error = 1.383  Date_of_death = Feb2008 
 Prediction Error = -0.253  Date_of_death = Jan2008 
 Prediction Error = -1.059  Date_of_death = Dec2007 
 Prediction Error = 0.3712  Date_of_death = Nov2007 
 Prediction Error = -1.801  Date_of_death = Oct2007 
 Prediction Error = -0.5  Date_of_death = Sep2007 
 Prediction Error = 3.6874  Date_of_death = Aug2007 
 Prediction Error = -0.886  Date_of_death = Jul2007 
 Prediction Error = -1.909  Date_of_death = Jun2007 
 Prediction Error = -0.929  Date_of_death = May2007 
 Prediction Error = 0.8143  Date_of_death = Apr2007 
 Prediction Error = -2.08  Date_of_death = Mar2007 
 Prediction Error = -0.798  Date_of_death = Feb2007 
 Prediction Error = 0.781  Date_of_death = Jan2007 
 Prediction Error = -1.316  Date_of_death = Dec2006 
 Prediction Error = 0.3592  Date_of_death = Nov2006 
 Prediction Error = 3.7517  Date_of_death = Oct2006 
 Prediction Error = -0.582  Date_of_death = Sep2006 
 Prediction Error = 4.3206  Date_of_death = Aug2006 
 Prediction Error = -1.029  Date_of_death = Jul2006 
 Prediction Error = -3.405  Date_of_death = Jun2006 
 Prediction Error = 0.0993  Date_of_death = May2006 
 Prediction Error = -1.407  Date_of_death = Apr2006 
 Prediction Error = -2.451  Date_of_death = Mar2006 
 Prediction Error = -0.953  Date_of_death = Feb2006 
 Prediction Error = -0.295  Date_of_death = Jan2006 
 Prediction Error = -1.619  Date_of_death = Dec2005 
 Prediction Error = -0.83  Date_of_death = Nov2005 
 Prediction Error = -0.428  Date_of_death = Oct2005 
 Prediction Error = -0.84  Date_of_death = Sep2005 
 Prediction Error = -1.046  Date_of_death = Aug2005 
 Prediction Error = -1.468  Date_of_death = Jul2005 
 Prediction Error = 0.5456  Date_of_death = Jun2005 
 Prediction Error = -0.057  Date_of_death = May2005 
 Prediction Error = -1.869  Date_of_death = Apr2005 
 Prediction Error = -3.125  Date_of_death = Mar2005 
 Prediction Error = -0.11  Date_of_death = Feb2005 
 Prediction Error = -0.527  Date_of_death = Jan2005 
 Prediction Error = -0.928  Date_of_death = Dec2004 
 Prediction Error = -1.196  Date_of_death = Nov2004 
 Prediction Error = -1.965  Date_of_death = Oct2004 
 Prediction Error = -1.232  Date_of_death = Sep2004 
 Prediction Error = -1.494  Date_of_death = Aug2004 
 Prediction Error = 4.3055  Date_of_death = Jul2004 
 Prediction Error = 1.825  Date_of_death = Jun2004 
 Prediction Error = -1.447  Date_of_death = May2004 
 Prediction Error = -2.461  Date_of_death = Apr2004 
 Prediction Error = 2.3026  Date_of_death = Mar2004 
 Prediction Error = -1.453  Date_of_death = Feb2004 
 Prediction Error = -0.721  Date_of_death = Jan2004 
 Prediction Error = -2.648  Date_of_death = Dec2003 
 Prediction Error = -1.668  Date_of_death = Nov2003 
 Prediction Error = -2.693  Date_of_death = Oct2003 
 Prediction Error = -1.714  Date_of_death = Sep2003 
 Prediction Error = -2.069  Date_of_death = Aug2003 
 Prediction Error = 0.2683  Date_of_death = Jul2003 
 Prediction Error = 2.2875  Date_of_death = Jun2003 
 Prediction Error = 4.6575  Date_of_death = May2003 
 Prediction Error = -3.372  Date_of_death = Apr2003 
 Prediction Error = 2.9854  Date_of_death = Mar2003 
 Prediction Error = -2.032  Date_of_death = Feb2003 
 Prediction Error = 1.6449  Date_of_death = Jan2003 
 Prediction Error = -4.04  Date_of_death = Dec2002 
 Prediction Error = -2.562  Date_of_death = Nov2002 
 Prediction Error = -1.071  Date_of_death = Oct2002 
 Prediction Error = 4.9611  Date_of_death = Sep2002 
 Prediction Error = 4.4873  Date_of_death = Aug2002 
 Prediction Error = -1.021  Date_of_death = Jul2002 
 Prediction Error = 0.4834  Date_of_death = Jun2002 
 Prediction Error = 0.9874  Date_of_death = May2002 
 Prediction Error = 2.5061  Date_of_death = Apr2002 
 Prediction Error = -1.509  Date_of_death = Mar2002 
 Prediction Error = -3.029  Date_of_death = Feb2002 
 Prediction Error = -0.534  Date_of_death = Jan2002 
 Prediction Error = -0.027  Date_of_death = Dec2001 
 Prediction Error = 4.9911  Date_of_death = Nov2001 
 Prediction Error = 4.006  Date_of_death = Oct2001 
 Prediction Error = 0.0059  Date_of_death = Sep2001 
 Prediction Error = 1.0097  Date_of_death = Aug2001 
 Prediction Error = 0.0085  Date_of_death = Jul2001 
 Prediction Error = -5.012  Date_of_death = Jun2001 
 Prediction Error = -0.016  Date_of_death = May2001 
 Prediction Error = -5.037  Date_of_death = Apr2001 
 Prediction Error = 4.9809  Date_of_death = Mar2001 
 Prediction Error = 3.9961  Date_of_death = Feb2001 
 Prediction Error = 1  Date_of_death = Sep2019 
 2*STD = 3.7549 
 -2*STD = -3.755  Date_of_death = Aug2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = Aug2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = Jul2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = Jul2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = Jun2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = Jun2019 
 2*STD = 3.755 
 -2*STD = -3.755  Date_of_death = May2019 
 2*STD = 3.7551 
 -2*STD = -3.755  Date_of_death = May2019 
 2*STD = 3.7551 
 -2*STD = -3.755  Date_of_death = Apr2019 
 2*STD = 3.7551 
 -2*STD = -3.755  Date_of_death = Apr2019 
 2*STD = 3.7551 
 -2*STD = -3.755  Date_of_death = Mar2019 
 2*STD = 3.7552 
 -2*STD = -3.755  Date_of_death = Mar2019 
 2*STD = 3.7552 
 -2*STD = -3.755  Date_of_death = Feb2019 
 2*STD = 3.7552 
 -2*STD = -3.755  Date_of_death = Feb2019 
 2*STD = 3.7552 
 -2*STD = -3.755  Date_of_death = Jan2019 
 2*STD = 3.759 
 -2*STD = -3.759  Date_of_death = Jan2019 
 2*STD = 3.759 
 -2*STD = -3.759  Date_of_death = Dec2018 
 2*STD = 3.759 
 -2*STD = -3.759  Date_of_death = Dec2018 
 2*STD = 3.759 
 -2*STD = -3.759  Date_of_death = Nov2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Nov2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Oct2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Oct2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Sep2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Sep2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Aug2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Aug2018 
 2*STD = 3.7591 
 -2*STD = -3.759  Date_of_death = Jul2018 
 2*STD = 3.7592 
 -2*STD = -3.759  Date_of_death = Jul2018 
 2*STD = 3.7592 
 -2*STD = -3.759  Date_of_death = Jun2018 
 2*STD = 3.7592 
 -2*STD = -3.759  Date_of_death = Jun2018 
 2*STD = 3.7592 
 -2*STD = -3.759  Date_of_death = May2018 
 2*STD = 3.7593 
 -2*STD = -3.759  Date_of_death = May2018 
 2*STD = 3.7593 
 -2*STD = -3.759  Date_of_death = Apr2018 
 2*STD = 3.7593 
 -2*STD = -3.759  Date_of_death = Apr2018 
 2*STD = 3.7593 
 -2*STD = -3.759  Date_of_death = Mar2018 
 2*STD = 3.7594 
 -2*STD = -3.759  Date_of_death = Mar2018 
 2*STD = 3.7594 
 -2*STD = -3.759  Date_of_death = Feb2018 
 2*STD = 3.7594 
 -2*STD = -3.759  Date_of_death = Feb2018 
 2*STD = 3.7594 
 -2*STD = -3.759  Date_of_death = Jan2018 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Jan2018 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Dec2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Dec2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Nov2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Nov2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Oct2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Oct2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Sep2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Sep2017 
 2*STD = 3.7638 
 -2*STD = -3.764  Date_of_death = Aug2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Aug2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jul2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jul2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jun2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Jun2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = May2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = May2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Apr2017 
 2*STD = 3.7641 
 -2*STD = -3.764  Date_of_death = Apr2017 
 2*STD = 3.7641 
 -2*STD = -3.764  Date_of_death = Mar2017 
 2*STD = 3.7641 
 -2*STD = -3.764  Date_of_death = Mar2017 
 2*STD = 3.7641 
 -2*STD = -3.764  Date_of_death = Feb2017 
 2*STD = 3.7642 
 -2*STD = -3.764  Date_of_death = Feb2017 
 2*STD = 3.7642 
 -2*STD = -3.764  Date_of_death = Jan2017 
 2*STD = 3.7691 
 -2*STD = -3.769  Date_of_death = Jan2017 
 2*STD = 3.7691 
 -2*STD = -3.769  Date_of_death = Dec2016 
 2*STD = 3.7691 
 -2*STD = -3.769  Date_of_death = Dec2016 
 2*STD = 3.7691 
 -2*STD = -3.769  Date_of_death = Nov2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Nov2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Oct2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Oct2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Sep2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Sep2016 
 2*STD = 3.7692 
 -2*STD = -3.769  Date_of_death = Aug2016 
 2*STD = 3.7693 
 -2*STD = -3.769  Date_of_death = Aug2016 
 2*STD = 3.7693 
 -2*STD = -3.769  Date_of_death = Jul2016 
 2*STD = 3.7693 
 -2*STD = -3.769  Date_of_death = Jul2016 
 2*STD = 3.7693 
 -2*STD = -3.769  Date_of_death = Jun2016 
 2*STD = 3.7694 
 -2*STD = -3.769  Date_of_death = Jun2016 
 2*STD = 3.7694 
 -2*STD = -3.769  Date_of_death = May2016 
 2*STD = 3.7694 
 -2*STD = -3.769  Date_of_death = May2016 
 2*STD = 3.7694 
 -2*STD = -3.769  Date_of_death = Apr2016 
 2*STD = 3.7695 
 -2*STD = -3.769  Date_of_death = Apr2016 
 2*STD = 3.7695 
 -2*STD = -3.769  Date_of_death = Mar2016 
 2*STD = 3.7695 
 -2*STD = -3.77  Date_of_death = Mar2016 
 2*STD = 3.7695 
 -2*STD = -3.77  Date_of_death = Feb2016 
 2*STD = 3.7696 
 -2*STD = -3.77  Date_of_death = Feb2016 
 2*STD = 3.7696 
 -2*STD = -3.77  Date_of_death = Jan2016 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Jan2016 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Dec2015 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Dec2015 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Nov2015 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Nov2015 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Oct2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Oct2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Sep2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Sep2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Aug2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Aug2015 
 2*STD = 3.7754 
 -2*STD = -3.775  Date_of_death = Jul2015 
 2*STD = 3.7755 
 -2*STD = -3.775  Date_of_death = Jul2015 
 2*STD = 3.7755 
 -2*STD = -3.775  Date_of_death = Jun2015 
 2*STD = 3.7755 
 -2*STD = -3.776  Date_of_death = Jun2015 
 2*STD = 3.7755 
 -2*STD = -3.776  Date_of_death = May2015 
 2*STD = 3.7756 
 -2*STD = -3.776  Date_of_death = May2015 
 2*STD = 3.7756 
 -2*STD = -3.776  Date_of_death = Apr2015 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Apr2015 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Mar2015 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Mar2015 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Feb2015 
 2*STD = 3.7758 
 -2*STD = -3.776  Date_of_death = Feb2015 
 2*STD = 3.7758 
 -2*STD = -3.776  Date_of_death = Jan2015 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Jan2015 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Dec2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Dec2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Nov2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Nov2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Oct2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Oct2014 
 2*STD = 3.7824 
 -2*STD = -3.782  Date_of_death = Sep2014 
 2*STD = 3.7825 
 -2*STD = -3.782  Date_of_death = Sep2014 
 2*STD = 3.7825 
 -2*STD = -3.782  Date_of_death = Aug2014 
 2*STD = 3.7825 
 -2*STD = -3.783  Date_of_death = Aug2014 
 2*STD = 3.7825 
 -2*STD = -3.783  Date_of_death = Jul2014 
 2*STD = 3.7826 
 -2*STD = -3.783  Date_of_death = Jul2014 
 2*STD = 3.7826 
 -2*STD = -3.783  Date_of_death = Jun2014 
 2*STD = 3.7826 
 -2*STD = -3.783  Date_of_death = Jun2014 
 2*STD = 3.7826 
 -2*STD = -3.783  Date_of_death = May2014 
 2*STD = 3.7827 
 -2*STD = -3.783  Date_of_death = May2014 
 2*STD = 3.7827 
 -2*STD = -3.783  Date_of_death = Apr2014 
 2*STD = 3.7828 
 -2*STD = -3.783  Date_of_death = Apr2014 
 2*STD = 3.7828 
 -2*STD = -3.783  Date_of_death = Mar2014 
 2*STD = 3.7829 
 -2*STD = -3.783  Date_of_death = Mar2014 
 2*STD = 3.7829 
 -2*STD = -3.783  Date_of_death = Feb2014 
 2*STD = 3.7829 
 -2*STD = -3.783  Date_of_death = Feb2014 
 2*STD = 3.7829 
 -2*STD = -3.783  Date_of_death = Jan2014 
 2*STD = 3.7906 
 -2*STD = -3.791  Date_of_death = Jan2014 
 2*STD = 3.7906 
 -2*STD = -3.791  Date_of_death = Dec2013 
 2*STD = 3.7906 
 -2*STD = -3.791  Date_of_death = Dec2013 
 2*STD = 3.7906 
 -2*STD = -3.791  Date_of_death = Nov2013 
 2*STD = 3.7907 
 -2*STD = -3.791  Date_of_death = Nov2013 
 2*STD = 3.7907 
 -2*STD = -3.791  Date_of_death = Oct2013 
 2*STD = 3.7907 
 -2*STD = -3.791  Date_of_death = Oct2013 
 2*STD = 3.7907 
 -2*STD = -3.791  Date_of_death = Sep2013 
 2*STD = 3.7908 
 -2*STD = -3.791  Date_of_death = Sep2013 
 2*STD = 3.7908 
 -2*STD = -3.791  Date_of_death = Aug2013 
 2*STD = 3.7908 
 -2*STD = -3.791  Date_of_death = Aug2013 
 2*STD = 3.7908 
 -2*STD = -3.791  Date_of_death = Jul2013 
 2*STD = 3.7909 
 -2*STD = -3.791  Date_of_death = Jul2013 
 2*STD = 3.7909 
 -2*STD = -3.791  Date_of_death = Jun2013 
 2*STD = 3.7909 
 -2*STD = -3.791  Date_of_death = Jun2013 
 2*STD = 3.7909 
 -2*STD = -3.791  Date_of_death = May2013 
 2*STD = 3.791 
 -2*STD = -3.791  Date_of_death = May2013 
 2*STD = 3.791 
 -2*STD = -3.791  Date_of_death = Apr2013 
 2*STD = 3.7911 
 -2*STD = -3.791  Date_of_death = Apr2013 
 2*STD = 3.7911 
 -2*STD = -3.791  Date_of_death = Mar2013 
 2*STD = 3.7912 
 -2*STD = -3.791  Date_of_death = Mar2013 
 2*STD = 3.7912 
 -2*STD = -3.791  Date_of_death = Feb2013 
 2*STD = 3.7912 
 -2*STD = -3.791  Date_of_death = Feb2013 
 2*STD = 3.7912 
 -2*STD = -3.791  Date_of_death = Jan2013 
 2*STD = 3.8003 
 -2*STD = -3.8  Date_of_death = Jan2013 
 2*STD = 3.8003 
 -2*STD = -3.8  Date_of_death = Dec2012 
 2*STD = 3.8003 
 -2*STD = -3.8  Date_of_death = Dec2012 
 2*STD = 3.8003 
 -2*STD = -3.8  Date_of_death = Nov2012 
 2*STD = 3.8004 
 -2*STD = -3.8  Date_of_death = Nov2012 
 2*STD = 3.8004 
 -2*STD = -3.8  Date_of_death = Oct2012 
 2*STD = 3.8004 
 -2*STD = -3.8  Date_of_death = Oct2012 
 2*STD = 3.8004 
 -2*STD = -3.8  Date_of_death = Sep2012 
 2*STD = 3.8005 
 -2*STD = -3.8  Date_of_death = Sep2012 
 2*STD = 3.8005 
 -2*STD = -3.8  Date_of_death = Aug2012 
 2*STD = 3.8005 
 -2*STD = -3.801  Date_of_death = Aug2012 
 2*STD = 3.8005 
 -2*STD = -3.801  Date_of_death = Jul2012 
 2*STD = 3.8006 
 -2*STD = -3.801  Date_of_death = Jul2012 
 2*STD = 3.8006 
 -2*STD = -3.801  Date_of_death = Jun2012 
 2*STD = 3.8006 
 -2*STD = -3.801  Date_of_death = Jun2012 
 2*STD = 3.8006 
 -2*STD = -3.801  Date_of_death = May2012 
 2*STD = 3.8007 
 -2*STD = -3.801  Date_of_death = May2012 
 2*STD = 3.8007 
 -2*STD = -3.801  Date_of_death = Apr2012 
 2*STD = 3.8008 
 -2*STD = -3.801  Date_of_death = Apr2012 
 2*STD = 3.8008 
 -2*STD = -3.801  Date_of_death = Mar2012 
 2*STD = 3.8009 
 -2*STD = -3.801  Date_of_death = Mar2012 
 2*STD = 3.8009 
 -2*STD = -3.801  Date_of_death = Feb2012 
 2*STD = 3.801 
 -2*STD = -3.801  Date_of_death = Feb2012 
 2*STD = 3.801 
 -2*STD = -3.801  Date_of_death = Jan2012 
 2*STD = 3.8118 
 -2*STD = -3.812  Date_of_death = Jan2012 
 2*STD = 3.8118 
 -2*STD = -3.812  Date_of_death = Dec2011 
 2*STD = 3.8119 
 -2*STD = -3.812  Date_of_death = Dec2011 
 2*STD = 3.8119 
 -2*STD = -3.812  Date_of_death = Nov2011 
 2*STD = 3.8119 
 -2*STD = -3.812  Date_of_death = Nov2011 
 2*STD = 3.8119 
 -2*STD = -3.812  Date_of_death = Oct2011 
 2*STD = 3.812 
 -2*STD = -3.812  Date_of_death = Oct2011 
 2*STD = 3.812 
 -2*STD = -3.812  Date_of_death = Sep2011 
 2*STD = 3.812 
 -2*STD = -3.812  Date_of_death = Sep2011 
 2*STD = 3.812 
 -2*STD = -3.812  Date_of_death = Aug2011 
 2*STD = 3.8121 
 -2*STD = -3.812  Date_of_death = Aug2011 
 2*STD = 3.8121 
 -2*STD = -3.812  Date_of_death = Jul2011 
 2*STD = 3.8121 
 -2*STD = -3.812  Date_of_death = Jul2011 
 2*STD = 3.8121 
 -2*STD = -3.812  Date_of_death = Jun2011 
 2*STD = 3.8122 
 -2*STD = -3.812  Date_of_death = Jun2011 
 2*STD = 3.8122 
 -2*STD = -3.812  Date_of_death = May2011 
 2*STD = 3.8123 
 -2*STD = -3.812  Date_of_death = May2011 
 2*STD = 3.8123 
 -2*STD = -3.812  Date_of_death = Apr2011 
 2*STD = 3.8124 
 -2*STD = -3.812  Date_of_death = Apr2011 
 2*STD = 3.8124 
 -2*STD = -3.812  Date_of_death = Mar2011 
 2*STD = 3.8125 
 -2*STD = -3.812  Date_of_death = Mar2011 
 2*STD = 3.8125 
 -2*STD = -3.812  Date_of_death = Feb2011 
 2*STD = 3.8126 
 -2*STD = -3.813  Date_of_death = Feb2011 
 2*STD = 3.8126 
 -2*STD = -3.813  Date_of_death = Jan2011 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Jan2011 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Dec2010 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Dec2010 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Nov2010 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Nov2010 
 2*STD = 3.8258 
 -2*STD = -3.826  Date_of_death = Oct2010 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Oct2010 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Sep2010 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Sep2010 
 2*STD = 3.8259 
 -2*STD = -3.826  Date_of_death = Aug2010 
 2*STD = 3.826 
 -2*STD = -3.826  Date_of_death = Aug2010 
 2*STD = 3.826 
 -2*STD = -3.826  Date_of_death = Jul2010 
 2*STD = 3.8261 
 -2*STD = -3.826  Date_of_death = Jul2010 
 2*STD = 3.8261 
 -2*STD = -3.826  Date_of_death = Jun2010 
 2*STD = 3.8262 
 -2*STD = -3.826  Date_of_death = Jun2010 
 2*STD = 3.8262 
 -2*STD = -3.826  Date_of_death = May2010 
 2*STD = 3.8263 
 -2*STD = -3.826  Date_of_death = May2010 
 2*STD = 3.8263 
 -2*STD = -3.826  Date_of_death = Apr2010 
 2*STD = 3.8264 
 -2*STD = -3.826  Date_of_death = Apr2010 
 2*STD = 3.8264 
 -2*STD = -3.826  Date_of_death = Mar2010 
 2*STD = 3.8265 
 -2*STD = -3.826  Date_of_death = Mar2010 
 2*STD = 3.8265 
 -2*STD = -3.826  Date_of_death = Feb2010 
 2*STD = 3.8266 
 -2*STD = -3.827  Date_of_death = Feb2010 
 2*STD = 3.8266 
 -2*STD = -3.827  Date_of_death = Jan2010 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Jan2010 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Dec2009 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Dec2009 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Nov2009 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Nov2009 
 2*STD = 3.8429 
 -2*STD = -3.843  Date_of_death = Oct2009 
 2*STD = 3.843 
 -2*STD = -3.843  Date_of_death = Oct2009 
 2*STD = 3.843 
 -2*STD = -3.843  Date_of_death = Sep2009 
 2*STD = 3.8431 
 -2*STD = -3.843  Date_of_death = Sep2009 
 2*STD = 3.8431 
 -2*STD = -3.843  Date_of_death = Aug2009 
 2*STD = 3.8431 
 -2*STD = -3.843  Date_of_death = Aug2009 
 2*STD = 3.8431 
 -2*STD = -3.843  Date_of_death = Jul2009 
 2*STD = 3.8432 
 -2*STD = -3.843  Date_of_death = Jul2009 
 2*STD = 3.8432 
 -2*STD = -3.843  Date_of_death = Jun2009 
 2*STD = 3.8433 
 -2*STD = -3.843  Date_of_death = Jun2009 
 2*STD = 3.8433 
 -2*STD = -3.843  Date_of_death = May2009 
 2*STD = 3.8434 
 -2*STD = -3.843  Date_of_death = May2009 
 2*STD = 3.8434 
 -2*STD = -3.843  Date_of_death = Apr2009 
 2*STD = 3.8435 
 -2*STD = -3.843  Date_of_death = Apr2009 
 2*STD = 3.8435 
 -2*STD = -3.843  Date_of_death = Mar2009 
 2*STD = 3.8436 
 -2*STD = -3.844  Date_of_death = Mar2009 
 2*STD = 3.8436 
 -2*STD = -3.844  Date_of_death = Feb2009 
 2*STD = 3.8437 
 -2*STD = -3.844  Date_of_death = Feb2009 
 2*STD = 3.8437 
 -2*STD = -3.844  Date_of_death = Jan2009 
 2*STD = 3.8643 
 -2*STD = -3.864  Date_of_death = Jan2009 
 2*STD = 3.8643 
 -2*STD = -3.864  Date_of_death = Dec2008 
 2*STD = 3.8644 
 -2*STD = -3.864  Date_of_death = Dec2008 
 2*STD = 3.8644 
 -2*STD = -3.864  Date_of_death = Nov2008 
 2*STD = 3.8644 
 -2*STD = -3.864  Date_of_death = Nov2008 
 2*STD = 3.8644 
 -2*STD = -3.864  Date_of_death = Oct2008 
 2*STD = 3.8645 
 -2*STD = -3.864  Date_of_death = Oct2008 
 2*STD = 3.8645 
 -2*STD = -3.864  Date_of_death = Sep2008 
 2*STD = 3.8645 
 -2*STD = -3.865  Date_of_death = Sep2008 
 2*STD = 3.8645 
 -2*STD = -3.865  Date_of_death = Aug2008 
 2*STD = 3.8646 
 -2*STD = -3.865  Date_of_death = Aug2008 
 2*STD = 3.8646 
 -2*STD = -3.865  Date_of_death = Jul2008 
 2*STD = 3.8647 
 -2*STD = -3.865  Date_of_death = Jul2008 
 2*STD = 3.8647 
 -2*STD = -3.865  Date_of_death = Jun2008 
 2*STD = 3.8648 
 -2*STD = -3.865  Date_of_death = Jun2008 
 2*STD = 3.8648 
 -2*STD = -3.865  Date_of_death = May2008 
 2*STD = 3.8649 
 -2*STD = -3.865  Date_of_death = May2008 
 2*STD = 3.8649 
 -2*STD = -3.865  Date_of_death = Apr2008 
 2*STD = 3.865 
 -2*STD = -3.865  Date_of_death = Apr2008 
 2*STD = 3.865 
 -2*STD = -3.865  Date_of_death = Mar2008 
 2*STD = 3.8651 
 -2*STD = -3.865  Date_of_death = Mar2008 
 2*STD = 3.8651 
 -2*STD = -3.865  Date_of_death = Feb2008 
 2*STD = 3.8652 
 -2*STD = -3.865  Date_of_death = Feb2008 
 2*STD = 3.8652 
 -2*STD = -3.865  Date_of_death = Jan2008 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Jan2008 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Dec2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Dec2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Nov2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Nov2007 
 2*STD = 3.8921 
 -2*STD = -3.892  Date_of_death = Oct2007 
 2*STD = 3.8922 
 -2*STD = -3.892  Date_of_death = Oct2007 
 2*STD = 3.8922 
 -2*STD = -3.892  Date_of_death = Sep2007 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Sep2007 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Aug2007 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Aug2007 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Jul2007 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Jul2007 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Jun2007 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = Jun2007 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = May2007 
 2*STD = 3.8926 
 -2*STD = -3.893  Date_of_death = May2007 
 2*STD = 3.8926 
 -2*STD = -3.893  Date_of_death = Apr2007 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Apr2007 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Mar2007 
 2*STD = 3.8928 
 -2*STD = -3.893  Date_of_death = Mar2007 
 2*STD = 3.8928 
 -2*STD = -3.893  Date_of_death = Feb2007 
 2*STD = 3.8929 
 -2*STD = -3.893  Date_of_death = Feb2007 
 2*STD = 3.8929 
 -2*STD = -3.893  Date_of_death = Jan2007 
 2*STD = 3.9291 
 -2*STD = -3.929  Date_of_death = Jan2007 
 2*STD = 3.9291 
 -2*STD = -3.929  Date_of_death = Dec2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Dec2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Nov2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Nov2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Oct2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Oct2006 
 2*STD = 3.9292 
 -2*STD = -3.929  Date_of_death = Sep2006 
 2*STD = 3.9293 
 -2*STD = -3.929  Date_of_death = Sep2006 
 2*STD = 3.9293 
 -2*STD = -3.929  Date_of_death = Aug2006 
 2*STD = 3.9294 
 -2*STD = -3.929  Date_of_death = Aug2006 
 2*STD = 3.9294 
 -2*STD = -3.929  Date_of_death = Jul2006 
 2*STD = 3.9295 
 -2*STD = -3.929  Date_of_death = Jul2006 
 2*STD = 3.9295 
 -2*STD = -3.929  Date_of_death = Jun2006 
 2*STD = 3.9295 
 -2*STD = -3.93  Date_of_death = Jun2006 
 2*STD = 3.9295 
 -2*STD = -3.93  Date_of_death = May2006 
 2*STD = 3.9296 
 -2*STD = -3.93  Date_of_death = May2006 
 2*STD = 3.9296 
 -2*STD = -3.93  Date_of_death = Apr2006 
 2*STD = 3.9297 
 -2*STD = -3.93  Date_of_death = Apr2006 
 2*STD = 3.9297 
 -2*STD = -3.93  Date_of_death = Mar2006 
 2*STD = 3.9299 
 -2*STD = -3.93  Date_of_death = Mar2006 
 2*STD = 3.9299 
 -2*STD = -3.93  Date_of_death = Feb2006 
 2*STD = 3.93 
 -2*STD = -3.93  Date_of_death = Feb2006 
 2*STD = 3.93 
 -2*STD = -3.93  Date_of_death = Jan2006 
 2*STD = 3.981 
 -2*STD = -3.981  Date_of_death = Jan2006 
 2*STD = 3.981 
 -2*STD = -3.981  Date_of_death = Dec2005 
 2*STD = 3.9811 
 -2*STD = -3.981  Date_of_death = Dec2005 
 2*STD = 3.9811 
 -2*STD = -3.981  Date_of_death = Nov2005 
 2*STD = 3.9811 
 -2*STD = -3.981  Date_of_death = Nov2005 
 2*STD = 3.9811 
 -2*STD = -3.981  Date_of_death = Oct2005 
 2*STD = 3.9812 
 -2*STD = -3.981  Date_of_death = Oct2005 
 2*STD = 3.9812 
 -2*STD = -3.981  Date_of_death = Sep2005 
 2*STD = 3.9812 
 -2*STD = -3.981  Date_of_death = Sep2005 
 2*STD = 3.9812 
 -2*STD = -3.981  Date_of_death = Aug2005 
 2*STD = 3.9813 
 -2*STD = -3.981  Date_of_death = Aug2005 
 2*STD = 3.9813 
 -2*STD = -3.981  Date_of_death = Jul2005 
 2*STD = 3.9813 
 -2*STD = -3.981  Date_of_death = Jul2005 
 2*STD = 3.9813 
 -2*STD = -3.981  Date_of_death = Jun2005 
 2*STD = 3.9814 
 -2*STD = -3.981  Date_of_death = Jun2005 
 2*STD = 3.9814 
 -2*STD = -3.981  Date_of_death = May2005 
 2*STD = 3.9815 
 -2*STD = -3.982  Date_of_death = May2005 
 2*STD = 3.9815 
 -2*STD = -3.982  Date_of_death = Apr2005 
 2*STD = 3.9816 
 -2*STD = -3.982  Date_of_death = Apr2005 
 2*STD = 3.9816 
 -2*STD = -3.982  Date_of_death = Mar2005 
 2*STD = 3.9817 
 -2*STD = -3.982  Date_of_death = Mar2005 
 2*STD = 3.9817 
 -2*STD = -3.982  Date_of_death = Feb2005 
 2*STD = 3.9818 
 -2*STD = -3.982  Date_of_death = Feb2005 
 2*STD = 3.9818 
 -2*STD = -3.982  Date_of_death = Jan2005 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Jan2005 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Dec2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Dec2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Nov2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Nov2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Oct2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Oct2004 
 2*STD = 4.0587 
 -2*STD = -4.059  Date_of_death = Sep2004 
 2*STD = 4.0588 
 -2*STD = -4.059  Date_of_death = Sep2004 
 2*STD = 4.0588 
 -2*STD = -4.059  Date_of_death = Aug2004 
 2*STD = 4.0588 
 -2*STD = -4.059  Date_of_death = Aug2004 
 2*STD = 4.0588 
 -2*STD = -4.059  Date_of_death = Jul2004 
 2*STD = 4.0589 
 -2*STD = -4.059  Date_of_death = Jul2004 
 2*STD = 4.0589 
 -2*STD = -4.059  Date_of_death = Jun2004 
 2*STD = 4.059 
 -2*STD = -4.059  Date_of_death = Jun2004 
 2*STD = 4.059 
 -2*STD = -4.059  Date_of_death = May2004 
 2*STD = 4.059 
 -2*STD = -4.059  Date_of_death = May2004 
 2*STD = 4.059 
 -2*STD = -4.059  Date_of_death = Apr2004 
 2*STD = 4.0591 
 -2*STD = -4.059  Date_of_death = Apr2004 
 2*STD = 4.0591 
 -2*STD = -4.059  Date_of_death = Mar2004 
 2*STD = 4.0592 
 -2*STD = -4.059  Date_of_death = Mar2004 
 2*STD = 4.0592 
 -2*STD = -4.059  Date_of_death = Feb2004 
 2*STD = 4.0593 
 -2*STD = -4.059  Date_of_death = Feb2004 
 2*STD = 4.0593 
 -2*STD = -4.059  Date_of_death = Jan2004 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Jan2004 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Dec2003 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Dec2003 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Nov2003 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Nov2003 
 2*STD = 4.1865 
 -2*STD = -4.187  Date_of_death = Oct2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Oct2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Sep2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Sep2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Aug2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Aug2003 
 2*STD = 4.1866 
 -2*STD = -4.187  Date_of_death = Jul2003 
 2*STD = 4.1867 
 -2*STD = -4.187  Date_of_death = Jul2003 
 2*STD = 4.1867 
 -2*STD = -4.187  Date_of_death = Jun2003 
 2*STD = 4.1867 
 -2*STD = -4.187  Date_of_death = Jun2003 
 2*STD = 4.1867 
 -2*STD = -4.187  Date_of_death = May2003 
 2*STD = 4.1868 
 -2*STD = -4.187  Date_of_death = May2003 
 2*STD = 4.1868 
 -2*STD = -4.187  Date_of_death = Apr2003 
 2*STD = 4.1869 
 -2*STD = -4.187  Date_of_death = Apr2003 
 2*STD = 4.1869 
 -2*STD = -4.187  Date_of_death = Mar2003 
 2*STD = 4.1869 
 -2*STD = -4.187  Date_of_death = Mar2003 
 2*STD = 4.1869 
 -2*STD = -4.187  Date_of_death = Feb2003 
 2*STD = 4.187 
 -2*STD = -4.187  Date_of_death = Feb2003 
 2*STD = 4.187 
 -2*STD = -4.187  Date_of_death = Jan2003 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Jan2003 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Dec2002 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Dec2002 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Nov2002 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Nov2002 
 2*STD = 4.4342 
 -2*STD = -4.434  Date_of_death = Oct2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Oct2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Sep2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Sep2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Aug2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Aug2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Jul2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Jul2002 
 2*STD = 4.4343 
 -2*STD = -4.434  Date_of_death = Jun2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = Jun2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = May2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = May2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = Apr2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = Apr2002 
 2*STD = 4.4344 
 -2*STD = -4.434  Date_of_death = Mar2002 
 2*STD = 4.4345 
 -2*STD = -4.434  Date_of_death = Mar2002 
 2*STD = 4.4345 
 -2*STD = -4.434  Date_of_death = Feb2002 
 2*STD = 4.4346 
 -2*STD = -4.435  Date_of_death = Feb2002 
 2*STD = 4.4346 
 -2*STD = -4.435  Date_of_death = Jan2002 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Jan2002 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Dec2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Dec2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Nov2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Nov2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Oct2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Oct2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Sep2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Sep2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Aug2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Aug2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Jul2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Jul2001 
 2*STD = 5.1123 
 -2*STD = -5.112  Date_of_death = Jun2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = Jun2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = May2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = May2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = Apr2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = Apr2001 
 2*STD = 5.1124 
 -2*STD = -5.112  Date_of_death = Mar2001 
 2*STD = 5.1125 
 -2*STD = -5.112  Date_of_death = Mar2001 
 2*STD = 5.1125 
 -2*STD = -5.112  Date_of_death = Feb2001 
 2*STD = 5.1125 
 -2*STD = -5.112  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 OCT2019 2.602419 1.87745 -1.077315 6.282154
238 NOV2019 3.017078 1.87780 -0.663334 6.697491
239 DEC2019 2.462186 1.87826 -1.219138 6.143510
240 JAN2020 3.689849 1.87873 0.007605 7.372092
241 FEB2020 2.272231 1.87751 -1.407625 5.952088
242 MAR2020 3.208346 1.87798 -0.472421 6.889113
243 APR2020 3.189913 1.87843 -0.491737 6.871563
244 MAY2020 3.100163 1.87887 -0.582362 6.782689
245 JUN2020 2.917598 1.87932 -0.765795 6.600991
246 JUL2020 3.422432 1.87976 -0.261821 7.106686
247 AUG2020 2.561581 1.88019 -1.123521 6.246684
248 SEP2020 3.161978 1.88051 -0.523745 6.847700

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 3.1620  Date_of_death = Aug2020 
 Forecast = 2.5616  Date_of_death = Aug2020 
 Forecast = 2.5616  Date_of_death = Jul2020 
 Forecast = 3.4224  Date_of_death = Jul2020 
 Forecast = 3.4224  Date_of_death = Jun2020 
 Forecast = 2.9176  Date_of_death = Jun2020 
 Forecast = 2.9176  Date_of_death = May2020 
 Forecast = 3.1002  Date_of_death = May2020 
 Forecast = 3.1002  Date_of_death = Apr2020 
 Forecast = 3.1899  Date_of_death = Apr2020 
 Forecast = 3.1899  Date_of_death = Mar2020 
 Forecast = 3.2083  Date_of_death = Mar2020 
 Forecast = 3.2083  Date_of_death = Feb2020 
 Forecast = 2.2722  Date_of_death = Feb2020 
 Forecast = 2.2722  Date_of_death = Jan2020 
 Forecast = 3.6898  Date_of_death = Jan2020 
 Forecast = 3.6898  Date_of_death = Dec2019 
 Forecast = 2.4622  Date_of_death = Dec2019 
 Forecast = 2.4622  Date_of_death = Nov2019 
 Forecast = 3.0171  Date_of_death = Nov2019 
 Forecast = 3.0171  Date_of_death = Oct2019 
 Forecast = 2.6024  Date_of_death = Sep2020 
 Upper 95% = 6.8477 
 Lower 95% = -0.5237  Date_of_death = Aug2020 
 Upper 95% = 6.2467 
 Lower 95% = -1.1235  Date_of_death = Aug2020 
 Upper 95% = 6.2467 
 Lower 95% = -1.1235  Date_of_death = Jul2020 
 Upper 95% = 7.1067 
 Lower 95% = -0.2618  Date_of_death = Jul2020 
 Upper 95% = 7.1067 
 Lower 95% = -0.2618  Date_of_death = Jun2020 
 Upper 95% = 6.6010 
 Lower 95% = -0.7658  Date_of_death = Jun2020 
 Upper 95% = 6.6010 
 Lower 95% = -0.7658  Date_of_death = May2020 
 Upper 95% = 6.7827 
 Lower 95% = -0.5824  Date_of_death = May2020 
 Upper 95% = 6.7827 
 Lower 95% = -0.5824  Date_of_death = Apr2020 
 Upper 95% = 6.8716 
 Lower 95% = -0.4917  Date_of_death = Apr2020 
 Upper 95% = 6.8716 
 Lower 95% = -0.4917  Date_of_death = Mar2020 
 Upper 95% = 6.8891 
 Lower 95% = -0.4724  Date_of_death = Mar2020 
 Upper 95% = 6.8891 
 Lower 95% = -0.4724  Date_of_death = Feb2020 
 Upper 95% = 5.9521 
 Lower 95% = -1.4076  Date_of_death = Feb2020 
 Upper 95% = 5.9521 
 Lower 95% = -1.4076  Date_of_death = Jan2020 
 Upper 95% = 7.3721 
 Lower 95% = 0.0076  Date_of_death = Jan2020 
 Upper 95% = 7.3721 
 Lower 95% = 0.0076  Date_of_death = Dec2019 
 Upper 95% = 6.1435 
 Lower 95% = -1.2191  Date_of_death = Dec2019 
 Upper 95% = 6.1435 
 Lower 95% = -1.2191  Date_of_death = Nov2019 
 Upper 95% = 6.6975 
 Lower 95% = -0.6633  Date_of_death = Nov2019 
 Upper 95% = 6.6975 
 Lower 95% = -0.6633  Date_of_death = Oct2019 
 Upper 95% = 6.2822 
 Lower 95% = -1.0773
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 3.1620  Date_of_death = Aug2020 
 Forecast = 2.5616  Date_of_death = Aug2020 
 Forecast = 2.5616  Date_of_death = Jul2020 
 Forecast = 3.4224  Date_of_death = Jul2020 
 Forecast = 3.4224  Date_of_death = Jun2020 
 Forecast = 2.9176  Date_of_death = Jun2020 
 Forecast = 2.9176  Date_of_death = May2020 
 Forecast = 3.1002  Date_of_death = May2020 
 Forecast = 3.1002  Date_of_death = Apr2020 
 Forecast = 3.1899  Date_of_death = Apr2020 
 Forecast = 3.1899  Date_of_death = Mar2020 
 Forecast = 3.2083  Date_of_death = Mar2020 
 Forecast = 3.2083  Date_of_death = Feb2020 
 Forecast = 2.2722  Date_of_death = Feb2020 
 Forecast = 2.2722  Date_of_death = Jan2020 
 Forecast = 3.6898  Date_of_death = Jan2020 
 Forecast = 3.6898  Date_of_death = Dec2019 
 Forecast = 2.4622  Date_of_death = Dec2019 
 Forecast = 2.4622  Date_of_death = Nov2019 
 Forecast = 3.0171  Date_of_death = Nov2019 
 Forecast = 3.0171  Date_of_death = Oct2019 
 Forecast = 2.6024  Date_of_death = Oct2019 
 Forecast = 2.6024  Date_of_death = Sep2019 
 Forecast = 3.1756  Date_of_death = Sep2019 
 Forecast = 3.1756  Date_of_death = Aug2019 
 Forecast = 2.6968  Date_of_death = Aug2019 
 Forecast = 2.6968  Date_of_death = Jul2019 
 Forecast = 3.4124  Date_of_death = Jul2019 
 Forecast = 3.4124  Date_of_death = Jun2019 
 Forecast = 3.1118  Date_of_death = Jun2019 
 Forecast = 3.1118  Date_of_death = May2019 
 Forecast = 3.2667  Date_of_death = May2019 
 Forecast = 3.2667  Date_of_death = Apr2019 
 Forecast = 3.0595  Date_of_death = Apr2019 
 Forecast = 3.0595  Date_of_death = Mar2019 
 Forecast = 3.0242  Date_of_death = Mar2019 
 Forecast = 3.0242  Date_of_death = Feb2019 
 Forecast = 1.9389  Date_of_death = Feb2019 
 Forecast = 1.9389  Date_of_death = Jan2019 
 Forecast = 3.5524  Date_of_death = Jan2019 
 Forecast = 3.5524  Date_of_death = Dec2018 
 Forecast = 2.4557  Date_of_death = Dec2018 
 Forecast = 2.4557  Date_of_death = Nov2018 
 Forecast = 2.7391  Date_of_death = Nov2018 
 Forecast = 2.7391  Date_of_death = Oct2018 
 Forecast = 2.4194  Date_of_death = Oct2018 
 Forecast = 2.4194  Date_of_death = Sep2018 
 Forecast = 3.1001  Date_of_death = Sep2018 
 Forecast = 3.1001  Date_of_death = Aug2018 
 Forecast = 2.5648  Date_of_death = Aug2018 
 Forecast = 2.5648  Date_of_death = Jul2018 
 Forecast = 3.4484  Date_of_death = Jul2018 
 Forecast = 3.4484  Date_of_death = Jun2018 
 Forecast = 2.6890  Date_of_death = Jun2018 
 Forecast = 2.6890  Date_of_death = May2018 
 Forecast = 2.7799  Date_of_death = May2018 
 Forecast = 2.7799  Date_of_death = Apr2018 
 Forecast = 2.9851  Date_of_death = Apr2018 
 Forecast = 2.9851  Date_of_death = Mar2018 
 Forecast = 2.7927  Date_of_death = Mar2018 
 Forecast = 2.7927  Date_of_death = Feb2018 
 Forecast = 1.9432  Date_of_death = Feb2018 
 Forecast = 1.9432  Date_of_death = Jan2018 
 Forecast = 3.5450  Date_of_death = Jan2018 
 Forecast = 3.5450  Date_of_death = Dec2017 
 Forecast = 2.5189  Date_of_death = Dec2017 
 Forecast = 2.5189  Date_of_death = Nov2017 
 Forecast = 2.4622  Date_of_death = Nov2017 
 Forecast = 2.4622  Date_of_death = Oct2017 
 Forecast = 2.3245  Date_of_death = Oct2017 
 Forecast = 2.3245  Date_of_death = Sep2017 
 Forecast = 3.1060  Date_of_death = Sep2017 
 Forecast = 3.1060  Date_of_death = Aug2017 
 Forecast = 2.6121  Date_of_death = Aug2017 
 Forecast = 2.6121  Date_of_death = Jul2017 
 Forecast = 3.1210  Date_of_death = Jul2017 
 Forecast = 3.1210  Date_of_death = Jun2017 
 Forecast = 2.3209  Date_of_death = Jun2017 
 Forecast = 2.3209  Date_of_death = May2017 
 Forecast = 2.7574  Date_of_death = May2017 
 Forecast = 2.7574  Date_of_death = Apr2017 
 Forecast = 2.8566  Date_of_death = Apr2017 
 Forecast = 2.8566  Date_of_death = Mar2017 
 Forecast = 2.3994  Date_of_death = Mar2017 
 Forecast = 2.3994  Date_of_death = Feb2017 
 Forecast = 1.8259  Date_of_death = Feb2017 
 Forecast = 1.8259  Date_of_death = Jan2017 
 Forecast = 3.1068  Date_of_death = Jan2017 
 Forecast = 3.1068  Date_of_death = Dec2016 
 Forecast = 2.2779  Date_of_death = Dec2016 
 Forecast = 2.2779  Date_of_death = Nov2016 
 Forecast = 2.2888  Date_of_death = Nov2016 
 Forecast = 2.2888  Date_of_death = Oct2016 
 Forecast = 2.2471  Date_of_death = Oct2016 
 Forecast = 2.2471  Date_of_death = Sep2016 
 Forecast = 3.0044  Date_of_death = Sep2016 
 Forecast = 3.0044  Date_of_death = Aug2016 
 Forecast = 2.5544  Date_of_death = Aug2016 
 Forecast = 2.5544  Date_of_death = Jul2016 
 Forecast = 3.1233  Date_of_death = Jul2016 
 Forecast = 3.1233  Date_of_death = Jun2016 
 Forecast = 2.4442  Date_of_death = Jun2016 
 Forecast = 2.4442  Date_of_death = May2016 
 Forecast = 2.8451  Date_of_death = May2016 
 Forecast = 2.8451  Date_of_death = Apr2016 
 Forecast = 3.0815  Date_of_death = Apr2016 
 Forecast = 3.0815  Date_of_death = Mar2016 
 Forecast = 2.5158  Date_of_death = Mar2016 
 Forecast = 2.5158  Date_of_death = Feb2016 
 Forecast = 1.8771  Date_of_death = Feb2016 
 Forecast = 1.8771  Date_of_death = Jan2016 
 Forecast = 3.0247  Date_of_death = Jan2016 
 Forecast = 3.0247  Date_of_death = Dec2015 
 Forecast = 2.5292  Date_of_death = Dec2015 
 Forecast = 2.5292  Date_of_death = Nov2015 
 Forecast = 2.4584  Date_of_death = Nov2015 
 Forecast = 2.4584  Date_of_death = Oct2015 
 Forecast = 2.3011  Date_of_death = Oct2015 
 Forecast = 2.3011  Date_of_death = Sep2015 
 Forecast = 2.8051  Date_of_death = Sep2015 
 Forecast = 2.8051  Date_of_death = Aug2015 
 Forecast = 2.4032  Date_of_death = Aug2015 
 Forecast = 2.4032  Date_of_death = Jul2015 
 Forecast = 3.2470  Date_of_death = Jul2015 
 Forecast = 3.2470  Date_of_death = Jun2015 
 Forecast = 2.2205  Date_of_death = Jun2015 
 Forecast = 2.2205  Date_of_death = May2015 
 Forecast = 2.7021  Date_of_death = May2015 
 Forecast = 2.7021  Date_of_death = Apr2015 
 Forecast = 3.0033  Date_of_death = Apr2015 
 Forecast = 3.0033  Date_of_death = Mar2015 
 Forecast = 2.5111  Date_of_death = Mar2015 
 Forecast = 2.5111  Date_of_death = Feb2015 
 Forecast = 1.6827  Date_of_death = Feb2015 
 Forecast = 1.6827  Date_of_death = Jan2015 
 Forecast = 3.0772  Date_of_death = Jan2015 
 Forecast = 3.0772  Date_of_death = Dec2014 
 Forecast = 2.5160  Date_of_death = Dec2014 
 Forecast = 2.5160  Date_of_death = Nov2014 
 Forecast = 2.5430  Date_of_death = Nov2014 
 Forecast = 2.5430  Date_of_death = Oct2014 
 Forecast = 2.2242  Date_of_death = Oct2014 
 Forecast = 2.2242  Date_of_death = Sep2014 
 Forecast = 2.9394  Date_of_death = Sep2014 
 Forecast = 2.9394  Date_of_death = Aug2014 
 Forecast = 2.3410  Date_of_death = Aug2014 
 Forecast = 2.3410  Date_of_death = Jul2014 
 Forecast = 3.3980  Date_of_death = Jul2014 
 Forecast = 3.3980  Date_of_death = Jun2014 
 Forecast = 1.9290  Date_of_death = Jun2014 
 Forecast = 1.9290  Date_of_death = May2014 
 Forecast = 2.7879  Date_of_death = May2014 
 Forecast = 2.7879  Date_of_death = Apr2014 
 Forecast = 2.6975  Date_of_death = Apr2014 
 Forecast = 2.6975  Date_of_death = Mar2014 
 Forecast = 2.2648  Date_of_death = Mar2014 
 Forecast = 2.2648  Date_of_death = Feb2014 
 Forecast = 1.5360  Date_of_death = Feb2014 
 Forecast = 1.5360  Date_of_death = Jan2014 
 Forecast = 2.8295  Date_of_death = Jan2014 
 Forecast = 2.8295  Date_of_death = Dec2013 
 Forecast = 1.9597  Date_of_death = Dec2013 
 Forecast = 1.9597  Date_of_death = Nov2013 
 Forecast = 2.4024  Date_of_death = Nov2013 
 Forecast = 2.4024  Date_of_death = Oct2013 
 Forecast = 1.9741  Date_of_death = Oct2013 
 Forecast = 1.9741  Date_of_death = Sep2013 
 Forecast = 2.3294  Date_of_death = Sep2013 
 Forecast = 2.3294  Date_of_death = Aug2013 
 Forecast = 2.1517  Date_of_death = Aug2013 
 Forecast = 2.1517  Date_of_death = Jul2013 
 Forecast = 3.3124  Date_of_death = Jul2013 
 Forecast = 3.3124  Date_of_death = Jun2013 
 Forecast = 1.8177  Date_of_death = Jun2013 
 Forecast = 1.8177  Date_of_death = May2013 
 Forecast = 2.6735  Date_of_death = May2013 
 Forecast = 2.6735  Date_of_death = Apr2013 
 Forecast = 2.6617  Date_of_death = Apr2013 
 Forecast = 2.6617  Date_of_death = Mar2013 
 Forecast = 2.2351  Date_of_death = Mar2013 
 Forecast = 2.2351  Date_of_death = Feb2013 
 Forecast = 1.4481  Date_of_death = Feb2013 
 Forecast = 1.4481  Date_of_death = Jan2013 
 Forecast = 3.0166  Date_of_death = Jan2013 
 Forecast = 3.0166  Date_of_death = Dec2012 
 Forecast = 1.9462  Date_of_death = Dec2012 
 Forecast = 1.9462  Date_of_death = Nov2012 
 Forecast = 2.5049  Date_of_death = Nov2012 
 Forecast = 2.5049  Date_of_death = Oct2012 
 Forecast = 1.9358  Date_of_death = Oct2012 
 Forecast = 1.9358  Date_of_death = Sep2012 
 Forecast = 2.4961  Date_of_death = Sep2012 
 Forecast = 2.4961  Date_of_death = Aug2012 
 Forecast = 2.3880  Date_of_death = Aug2012 
 Forecast = 2.3880  Date_of_death = Jul2012 
 Forecast = 3.4339  Date_of_death = Jul2012 
 Forecast = 3.4339  Date_of_death = Jun2012 
 Forecast = 1.8775  Date_of_death = Jun2012 
 Forecast = 1.8775  Date_of_death = May2012 
 Forecast = 2.5901  Date_of_death = May2012 
 Forecast = 2.5901  Date_of_death = Apr2012 
 Forecast = 2.8685  Date_of_death = Apr2012 
 Forecast = 2.8685  Date_of_death = Mar2012 
 Forecast = 1.8690  Date_of_death = Mar2012 
 Forecast = 1.8690  Date_of_death = Feb2012 
 Forecast = 1.2594  Date_of_death = Feb2012 
 Forecast = 1.2594  Date_of_death = Jan2012 
 Forecast = 3.1573  Date_of_death = Jan2012 
 Forecast = 3.1573  Date_of_death = Dec2011 
 Forecast = 1.8995  Date_of_death = Dec2011 
 Forecast = 1.8995  Date_of_death = Nov2011 
 Forecast = 2.5179  Date_of_death = Nov2011 
 Forecast = 2.5179  Date_of_death = Oct2011 
 Forecast = 1.4418  Date_of_death = Oct2011 
 Forecast = 1.4418  Date_of_death = Sep2011 
 Forecast = 2.4406  Date_of_death = Sep2011 
 Forecast = 2.4406  Date_of_death = Aug2011 
 Forecast = 2.0531  Date_of_death = Aug2011 
 Forecast = 2.0531  Date_of_death = Jul2011 
 Forecast = 3.5293  Date_of_death = Jul2011 
 Forecast = 3.5293  Date_of_death = Jun2011 
 Forecast = 1.8373  Date_of_death = Jun2011 
 Forecast = 1.8373  Date_of_death = May2011 
 Forecast = 2.6780  Date_of_death = May2011 
 Forecast = 2.6780  Date_of_death = Apr2011 
 Forecast = 2.4037  Date_of_death = Apr2011 
 Forecast = 2.4037  Date_of_death = Mar2011 
 Forecast = 1.7823  Date_of_death = Mar2011 
 Forecast = 1.7823  Date_of_death = Feb2011 
 Forecast = 1.1205  Date_of_death = Feb2011 
 Forecast = 1.1205  Date_of_death = Jan2011 
 Forecast = 3.1918  Date_of_death = Jan2011 
 Forecast = 3.1918  Date_of_death = Dec2010 
 Forecast = 1.6701  Date_of_death = Dec2010 
 Forecast = 1.6701  Date_of_death = Nov2010 
 Forecast = 2.5941  Date_of_death = Nov2010 
 Forecast = 2.5941  Date_of_death = Oct2010 
 Forecast = 1.4992  Date_of_death = Oct2010 
 Forecast = 1.4992  Date_of_death = Sep2010 
 Forecast = 2.6307  Date_of_death = Sep2010 
 Forecast = 2.6307  Date_of_death = Aug2010 
 Forecast = 2.2591  Date_of_death = Aug2010 
 Forecast = 2.2591  Date_of_death = Jul2010 
 Forecast = 3.8943  Date_of_death = Jul2010 
 Forecast = 3.8943  Date_of_death = Jun2010 
 Forecast = 1.8985  Date_of_death = Jun2010 
 Forecast = 1.8985  Date_of_death = May2010 
 Forecast = 2.9488  Date_of_death = May2010 
 Forecast = 2.9488  Date_of_death = Apr2010 
 Forecast = 2.7502  Date_of_death = Apr2010 
 Forecast = 2.7502  Date_of_death = Mar2010 
 Forecast = 1.9683  Date_of_death = Mar2010 
 Forecast = 1.9683  Date_of_death = Feb2010 
 Forecast = 1.3695  Date_of_death = Feb2010 
 Forecast = 1.3695  Date_of_death = Jan2010 
 Forecast = 3.4348  Date_of_death = Jan2010 
 Forecast = 3.4348  Date_of_death = Dec2009 
 Forecast = 1.7403  Date_of_death = Dec2009 
 Forecast = 1.7403  Date_of_death = Nov2009 
 Forecast = 2.7387  Date_of_death = Nov2009 
 Forecast = 2.7387  Date_of_death = Oct2009 
 Forecast = 1.4775  Date_of_death = Oct2009 
 Forecast = 1.4775  Date_of_death = Sep2009 
 Forecast = 2.9743  Date_of_death = Sep2009 
 Forecast = 2.9743  Date_of_death = Aug2009 
 Forecast = 2.4189  Date_of_death = Aug2009 
 Forecast = 2.4189  Date_of_death = Jul2009 
 Forecast = 4.0948  Date_of_death = Jul2009 
 Forecast = 4.0948  Date_of_death = Jun2009 
 Forecast = 1.9827  Date_of_death = Jun2009 
 Forecast = 1.9827  Date_of_death = May2009 
 Forecast = 2.8638  Date_of_death = May2009 
 Forecast = 2.8638  Date_of_death = Apr2009 
 Forecast = 2.8557  Date_of_death = Apr2009 
 Forecast = 2.8557  Date_of_death = Mar2009 
 Forecast = 1.9806  Date_of_death = Mar2009 
 Forecast = 1.9806  Date_of_death = Feb2009 
 Forecast = 1.4294  Date_of_death = Feb2009 
 Forecast = 1.4294  Date_of_death = Jan2009 
 Forecast = 3.0646  Date_of_death = Jan2009 
 Forecast = 3.0646  Date_of_death = Dec2008 
 Forecast = 1.8376  Date_of_death = Dec2008 
 Forecast = 1.8376  Date_of_death = Nov2008 
 Forecast = 2.7046  Date_of_death = Nov2008 
 Forecast = 2.7046  Date_of_death = Oct2008 
 Forecast = 1.5753  Date_of_death = Oct2008 
 Forecast = 1.5753  Date_of_death = Sep2008 
 Forecast = 2.9678  Date_of_death = Sep2008 
 Forecast = 2.9678  Date_of_death = Aug2008 
 Forecast = 1.8743  Date_of_death = Aug2008 
 Forecast = 1.8743  Date_of_death = Jul2008 
 Forecast = 3.7085  Date_of_death = Jul2008 
 Forecast = 3.7085  Date_of_death = Jun2008 
 Forecast = 1.8333  Date_of_death = Jun2008 
 Forecast = 1.8333  Date_of_death = May2008 
 Forecast = 2.2632  Date_of_death = May2008 
 Forecast = 2.2632  Date_of_death = Apr2008 
 Forecast = 2.7669  Date_of_death = Apr2008 
 Forecast = 2.7669  Date_of_death = Mar2008 
 Forecast = 1.6170  Date_of_death = Mar2008 
 Forecast = 1.6170  Date_of_death = Feb2008 
 Forecast = 1.2530  Date_of_death = Feb2008 
 Forecast = 1.2530  Date_of_death = Jan2008 
 Forecast = 3.0591  Date_of_death = Jan2008 
 Forecast = 3.0591  Date_of_death = Dec2007 
 Forecast = 1.6288  Date_of_death = Dec2007 
 Forecast = 1.6288  Date_of_death = Nov2007 
 Forecast = 2.8013  Date_of_death = Nov2007 
 Forecast = 2.8013  Date_of_death = Oct2007 
 Forecast = 1.5002  Date_of_death = Oct2007 
 Forecast = 1.5002  Date_of_death = Sep2007 
 Forecast = 2.3126  Date_of_death = Sep2007 
 Forecast = 2.3126  Date_of_death = Aug2007 
 Forecast = 1.8859  Date_of_death = Aug2007 
 Forecast = 1.8859  Date_of_death = Jul2007 
 Forecast = 3.9088  Date_of_death = Jul2007 
 Forecast = 3.9088  Date_of_death = Jun2007 
 Forecast = 1.9287  Date_of_death = Jun2007 
 Forecast = 1.9287  Date_of_death = May2007 
 Forecast = 2.1857  Date_of_death = May2007 
 Forecast = 2.1857  Date_of_death = Apr2007 
 Forecast = 3.0798  Date_of_death = Apr2007 
 Forecast = 3.0798  Date_of_death = Mar2007 
 Forecast = 1.7984  Date_of_death = Mar2007 
 Forecast = 1.7984  Date_of_death = Feb2007 
 Forecast = 1.2190  Date_of_death = Feb2007 
 Forecast = 1.2190  Date_of_death = Jan2007 
 Forecast = 3.3158  Date_of_death = Jan2007 
 Forecast = 3.3158  Date_of_death = Dec2006 
 Forecast = 1.6408  Date_of_death = Dec2006 
 Forecast = 1.6408  Date_of_death = Nov2006 
 Forecast = 2.2483  Date_of_death = Nov2006 
 Forecast = 2.2483  Date_of_death = Oct2006 
 Forecast = 1.5822  Date_of_death = Oct2006 
 Forecast = 1.5822  Date_of_death = Sep2006 
 Forecast = 1.6794  Date_of_death = Sep2006 
 Forecast = 1.6794  Date_of_death = Aug2006 
 Forecast = 2.0291  Date_of_death = Aug2006 
 Forecast = 2.0291  Date_of_death = Jul2006 
 Forecast = 4.4047  Date_of_death = Jul2006 
 Forecast = 4.4047  Date_of_death = Jun2006 
 Forecast = 1.9007  Date_of_death = Jun2006 
 Forecast = 1.9007  Date_of_death = May2006 
 Forecast = 2.4073  Date_of_death = May2006 
 Forecast = 2.4073  Date_of_death = Apr2006 
 Forecast = 3.4507  Date_of_death = Apr2006 
 Forecast = 3.4507  Date_of_death = Mar2006 
 Forecast = 1.9532  Date_of_death = Mar2006 
 Forecast = 1.9532  Date_of_death = Feb2006 
 Forecast = 1.2949  Date_of_death = Feb2006 
 Forecast = 1.2949  Date_of_death = Jan2006 
 Forecast = 3.6189  Date_of_death = Jan2006 
 Forecast = 3.6189  Date_of_death = Dec2005 
 Forecast = 1.8295  Date_of_death = Dec2005 
 Forecast = 1.8295  Date_of_death = Nov2005 
 Forecast = 2.4281  Date_of_death = Nov2005 
 Forecast = 2.4281  Date_of_death = Oct2005 
 Forecast = 1.8402  Date_of_death = Oct2005 
 Forecast = 1.8402  Date_of_death = Sep2005 
 Forecast = 2.0455  Date_of_death = Sep2005 
 Forecast = 2.0455  Date_of_death = Aug2005 
 Forecast = 2.4684  Date_of_death = Aug2005 
 Forecast = 2.4684  Date_of_death = Jul2005 
 Forecast = 4.4544  Date_of_death = Jul2005 
 Forecast = 4.4544  Date_of_death = Jun2005 
 Forecast = 2.0565  Date_of_death = Jun2005 
 Forecast = 2.0565  Date_of_death = May2005 
 Forecast = 2.8692  Date_of_death = May2005 
 Forecast = 2.8692  Date_of_death = Apr2005 
 Forecast = 4.1253  Date_of_death = Apr2005 
 Forecast = 4.1253  Date_of_death = Mar2005 
 Forecast = 2.1097  Date_of_death = Mar2005 
 Forecast = 2.1097  Date_of_death = Feb2005 
 Forecast = 1.5270  Date_of_death = Feb2005 
 Forecast = 1.5270  Date_of_death = Jan2005 
 Forecast = 3.9284  Date_of_death = Jan2005 
 Forecast = 3.9284  Date_of_death = Dec2004 
 Forecast = 2.1962  Date_of_death = Dec2004 
 Forecast = 2.1962  Date_of_death = Nov2004 
 Forecast = 2.9647  Date_of_death = Nov2004 
 Forecast = 2.9647  Date_of_death = Oct2004 
 Forecast = 2.2325  Date_of_death = Oct2004 
 Forecast = 2.2325  Date_of_death = Sep2004 
 Forecast = 2.4940  Date_of_death = Sep2004 
 Forecast = 2.4940  Date_of_death = Aug2004 
 Forecast = 1.6945  Date_of_death = Aug2004 
 Forecast = 1.6945  Date_of_death = Jul2004 
 Forecast = 4.1750  Date_of_death = Jul2004 
 Forecast = 4.1750  Date_of_death = Jun2004 
 Forecast = 2.4473  Date_of_death = Jun2004 
 Forecast = 2.4473  Date_of_death = May2004 
 Forecast = 3.4606  Date_of_death = May2004 
 Forecast = 3.4606  Date_of_death = Apr2004 
 Forecast = 3.6974  Date_of_death = Apr2004 
 Forecast = 3.6974  Date_of_death = Mar2004 
 Forecast = 2.4533  Date_of_death = Mar2004 
 Forecast = 2.4533  Date_of_death = Feb2004 
 Forecast = 1.7215  Date_of_death = Feb2004 
 Forecast = 1.7215  Date_of_death = Jan2004 
 Forecast = 4.6478  Date_of_death = Jan2004 
 Forecast = 4.6478  Date_of_death = Dec2003 
 Forecast = 2.6681  Date_of_death = Dec2003 
 Forecast = 2.6681  Date_of_death = Nov2003 
 Forecast = 3.6929  Date_of_death = Nov2003 
 Forecast = 3.6929  Date_of_death = Oct2003 
 Forecast = 2.7142  Date_of_death = Oct2003 
 Forecast = 2.7142  Date_of_death = Sep2003 
 Forecast = 3.0688  Date_of_death = Sep2003 
 Forecast = 3.0688  Date_of_death = Aug2003 
 Forecast = 1.7317  Date_of_death = Aug2003 
 Forecast = 1.7317  Date_of_death = Jul2003 
 Forecast = 3.7125  Date_of_death = Jul2003 
 Forecast = 3.7125  Date_of_death = Jun2003 
 Forecast = 1.3425  Date_of_death = Jun2003 
 Forecast = 1.3425  Date_of_death = May2003 
 Forecast = 4.3720  Date_of_death = May2003 
 Forecast = 4.3720  Date_of_death = Apr2003 
 Forecast = 3.0146  Date_of_death = Apr2003 
 Forecast = 3.0146  Date_of_death = Mar2003 
 Forecast = 3.0320  Date_of_death = Mar2003 
 Forecast = 3.0320  Date_of_death = Feb2003 
 Forecast = 1.3551  Date_of_death = Feb2003 
 Forecast = 1.3551  Date_of_death = Jan2003 
 Forecast = 6.0400  Date_of_death = Jan2003 
 Forecast = 6.0400  Date_of_death = Dec2002 
 Forecast = 3.5622  Date_of_death = Dec2002 
 Forecast = 3.5622  Date_of_death = Nov2002 
 Forecast = 4.0708  Date_of_death = Nov2002 
 Forecast = 4.0708  Date_of_death = Oct2002 
 Forecast = 1.0389  Date_of_death = Oct2002 
 Forecast = 1.0389  Date_of_death = Sep2002 
 Forecast = 1.5127  Date_of_death = Sep2002 
 Forecast = 1.5127  Date_of_death = Aug2002 
 Forecast = 2.0206  Date_of_death = Aug2002 
 Forecast = 2.0206  Date_of_death = Jul2002 
 Forecast = 3.5166  Date_of_death = Jul2002 
 Forecast = 3.5166  Date_of_death = Jun2002 
 Forecast = 1.0126  Date_of_death = Jun2002 
 Forecast = 1.0126  Date_of_death = May2002 
 Forecast = 3.4939  Date_of_death = May2002 
 Forecast = 3.4939  Date_of_death = Apr2002 
 Forecast = 3.5089  Date_of_death = Apr2002 
 Forecast = 3.5089  Date_of_death = Mar2002 
 Forecast = 4.0292  Date_of_death = Mar2002 
 Forecast = 4.0292  Date_of_death = Feb2002 
 Forecast = 1.5339  Date_of_death = Feb2002 
 Forecast = 1.5339  Date_of_death = Jan2002 
 Forecast = 6.0270  Date_of_death = Jan2002 
 Forecast = 6.0270  Date_of_death = Dec2001 
 Forecast = 1.0089  Date_of_death = Dec2001 
 Forecast = 1.0089  Date_of_death = Nov2001 
 Forecast = 1.9940  Date_of_death = Nov2001 
 Forecast = 1.9940  Date_of_death = Oct2001 
 Forecast = 0.9941  Date_of_death = Oct2001 
 Forecast = 0.9941  Date_of_death = Sep2001 
 Forecast = 0.9903  Date_of_death = Sep2001 
 Forecast = 0.9903  Date_of_death = Aug2001 
 Forecast = 1.9915  Date_of_death = Aug2001 
 Forecast = 1.9915  Date_of_death = Jul2001 
 Forecast = 6.0125  Date_of_death = Jul2001 
 Forecast = 6.0125  Date_of_death = Jun2001 
 Forecast = 1.0157  Date_of_death = Jun2001 
 Forecast = 1.0157  Date_of_death = May2001 
 Forecast = 6.0374  Date_of_death = May2001 
 Forecast = 6.0374  Date_of_death = Apr2001 
 Forecast = 1.0191  Date_of_death = Apr2001 
 Forecast = 1.0191  Date_of_death = Mar2001 
 Forecast = 2.0039  Date_of_death = Mar2001 
 Forecast = 2.0039  Date_of_death = Feb2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 3.0000  Date_of_death = Aug2019 
 incidents = 1.0000  Date_of_death = Jul2019 
 incidents = 4.0000  Date_of_death = Jun2019 
 incidents = 1.0000  Date_of_death = May2019 
 incidents = 2.0000  Date_of_death = Apr2019 
 incidents = 6.0000  Date_of_death = Mar2019 
 incidents = 6.0000  Date_of_death = Feb2019 
 incidents = 6.0000  Date_of_death = Jan2019 
 incidents = 4.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 5.0000  Date_of_death = Oct2018 
 incidents = 3.0000  Date_of_death = Sep2018 
 incidents = 2.0000  Date_of_death = Aug2018 
 incidents = 2.0000  Date_of_death = Jul2018 
 incidents = 1.0000  Date_of_death = Jun2018 
 incidents = 6.0000  Date_of_death = May2018 
 incidents = 6.0000  Date_of_death = Apr2018 
 incidents = 1.0000  Date_of_death = Mar2018 
 incidents = 4.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 3.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 6.0000  Date_of_death = Oct2017 
 incidents = 3.0000  Date_of_death = Sep2017 
 incidents = 2.0000  Date_of_death = Aug2017 
 incidents = 1.0000  Date_of_death = Jul2017 
 incidents = 6.0000  Date_of_death = Jun2017 
 incidents = 6.0000  Date_of_death = May2017 
 incidents = 2.0000  Date_of_death = Apr2017 
 incidents = 3.0000  Date_of_death = Mar2017 
 incidents = 6.0000  Date_of_death = Feb2017 
 incidents = 1.0000  Date_of_death = Jan2017 
 incidents = 6.0000  Date_of_death = Dec2016 
 incidents = 2.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 2.0000  Date_of_death = Aug2016 
 incidents = 1.0000  Date_of_death = Jul2016 
 incidents = 2.0000  Date_of_death = Jun2016 
 incidents = 1.0000  Date_of_death = May2016 
 incidents = 2.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 3.0000  Date_of_death = Feb2016 
 incidents = 3.0000  Date_of_death = Jan2016 
 incidents = 6.0000  Date_of_death = Dec2015 
 incidents = 1.0000  Date_of_death = Nov2015 
 incidents = 2.0000  Date_of_death = Oct2015 
 incidents = 3.0000  Date_of_death = Sep2015 
 incidents = 6.0000  Date_of_death = Aug2015 
 incidents = 4.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 4.0000  Date_of_death = May2015 
 incidents = 3.0000  Date_of_death = Apr2015 
 incidents = 2.0000  Date_of_death = Mar2015 
 incidents = 1.0000  Date_of_death = Feb2015 
 incidents = 3.0000  Date_of_death = Jan2015 
 incidents = 2.0000  Date_of_death = Dec2014 
 incidents = 2.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 3.0000  Date_of_death = Sep2014 
 incidents = 2.0000  Date_of_death = Aug2014 
 incidents = 4.0000  Date_of_death = Jul2014 
 incidents = 2.0000  Date_of_death = Jun2014 
 incidents = 6.0000  Date_of_death = May2014 
 incidents = 2.0000  Date_of_death = Apr2014 
 incidents = 6.0000  Date_of_death = Mar2014 
 incidents = 4.0000  Date_of_death = Feb2014 
 incidents = 2.0000  Date_of_death = Jan2014 
 incidents = 4.0000  Date_of_death = Dec2013 
 incidents = 6.0000  Date_of_death = Nov2013 
 incidents = 1.0000  Date_of_death = Oct2013 
 incidents = 2.0000  Date_of_death = Sep2013 
 incidents = 6.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 1.0000  Date_of_death = May2013 
 incidents = 2.0000  Date_of_death = Apr2013 
 incidents = 2.0000  Date_of_death = Mar2013 
 incidents = 2.0000  Date_of_death = Feb2013 
 incidents = 2.0000  Date_of_death = Jan2013 
 incidents = 1.0000  Date_of_death = Dec2012 
 incidents = 3.0000  Date_of_death = Nov2012 
 incidents = 2.0000  Date_of_death = Oct2012 
 incidents = 3.0000  Date_of_death = Sep2012 
 incidents = 2.0000  Date_of_death = Aug2012 
 incidents = 1.0000  Date_of_death = Jul2012 
 incidents = 3.0000  Date_of_death = Jun2012 
 incidents = 2.0000  Date_of_death = May2012 
 incidents = 4.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 6.0000  Date_of_death = Feb2012 
 incidents = 3.0000  Date_of_death = Jan2012 
 incidents = 1.0000  Date_of_death = Dec2011 
 incidents = 2.0000  Date_of_death = Nov2011 
 incidents = 2.0000  Date_of_death = Oct2011 
 incidents = 6.0000  Date_of_death = Sep2011 
 incidents = 2.0000  Date_of_death = Aug2011 
 incidents = 4.0000  Date_of_death = Jul2011 
 incidents = 1.0000  Date_of_death = Jun2011 
 incidents = 1.0000  Date_of_death = May2011 
 incidents = 1.0000  Date_of_death = Apr2011 
 incidents = 6.0000  Date_of_death = Mar2011 
 incidents = 2.0000  Date_of_death = Feb2011 
 incidents = 2.0000  Date_of_death = Jan2011 
 incidents = 2.0000  Date_of_death = Dec2010 
 incidents = 3.0000  Date_of_death = Nov2010 
 incidents = 1.0000  Date_of_death = Oct2010 
 incidents = 1.0000  Date_of_death = Sep2010 
 incidents = 1.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 2.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 2.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 3.0000  Date_of_death = Dec2009 
 incidents = 3.0000  Date_of_death = Nov2009 
 incidents = 3.0000  Date_of_death = Oct2009 
 incidents = 3.0000  Date_of_death = Sep2009 
 incidents = 1.0000  Date_of_death = Aug2009 
 incidents = 2.0000  Date_of_death = Jul2009 
 incidents = 3.0000  Date_of_death = Jun2009 
 incidents = 2.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 2.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 1.0000  Date_of_death = Jan2009 
 incidents = 6.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 3.0000  Date_of_death = Oct2008 
 incidents = 1.0000  Date_of_death = Sep2008 
 incidents = 3.0000  Date_of_death = Aug2008 
 incidents = 6.0000  Date_of_death = Jul2008 
 incidents = 6.0000  Date_of_death = Jun2008 
 incidents = 2.0000  Date_of_death = May2008 
 incidents = 6.0000  Date_of_death = Apr2008 
 incidents = 2.0000  Date_of_death = Mar2008 
 incidents = 3.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 2.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 6.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 2.0000  Date_of_death = Jun2007 
 incidents = 1.0000  Date_of_death = May2007 
 incidents = 3.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 1.0000  Date_of_death = Feb2007 
 incidents = 2.0000  Date_of_death = Jan2007 
 incidents = 2.0000  Date_of_death = Dec2006 
 incidents = 2.0000  Date_of_death = Nov2006 
 incidents = 6.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 6.0000  Date_of_death = Aug2006 
 incidents = 1.0000  Date_of_death = Jul2006 
 incidents = 1.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 1.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 2.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 2.0000  Date_of_death = Oct2005 
 incidents = 1.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 1.0000  Date_of_death = Jul2005 
 incidents = 5.0000  Date_of_death = Jun2005 
 incidents = 2.0000  Date_of_death = May2005 
 incidents = 1.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 2.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 3.0000  Date_of_death = Dec2004 
 incidents = 1.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 6.0000  Date_of_death = Jul2004 
 incidents = 6.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 1.0000  Date_of_death = Apr2004 
 incidents = 6.0000  Date_of_death = Mar2004 
 incidents = 1.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 1.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 2.0000  Date_of_death = Jul2003 
 incidents = 6.0000  Date_of_death = Jun2003 
 incidents = 6.0000  Date_of_death = May2003 
 incidents = 1.0000  Date_of_death = Apr2003 
 incidents = 6.0000  Date_of_death = Mar2003 
 incidents = 1.0000  Date_of_death = Feb2003 
 incidents = 3.0000  Date_of_death = Jan2003 
 incidents = 2.0000  Date_of_death = Dec2002 
 incidents = 1.0000  Date_of_death = Nov2002 
 incidents = 3.0000  Date_of_death = Oct2002 
 incidents = 6.0000  Date_of_death = Sep2002 
 incidents = 6.0000  Date_of_death = Aug2002 
 incidents = 1.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 2.0000  Date_of_death = May2002 
 incidents = 6.0000  Date_of_death = Apr2002 
 incidents = 2.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 6.0000  Date_of_death = Dec2001 
 incidents = 6.0000  Date_of_death = Nov2001 
 incidents = 6.0000  Date_of_death = Oct2001 
 incidents = 1.0000  Date_of_death = Sep2001 
 incidents = 2.0000  Date_of_death = Aug2001 
 incidents = 2.0000  Date_of_death = Jul2001 
 incidents = 1.0000  Date_of_death = Jun2001 
 incidents = 1.0000  Date_of_death = May2001 
 incidents = 1.0000  Date_of_death = Apr2001 
 incidents = 6.0000  Date_of_death = Mar2001 
 incidents = 6.0000  Date_of_death = Feb2001 
 incidents = 2.0000  Date_of_death = Sep2020 
 Upper 95% = 6.8477 
 Lower 95% = -0.5237  Date_of_death = Aug2020 
 Upper 95% = 6.2467 
 Lower 95% = -1.1235  Date_of_death = Aug2020 
 Upper 95% = 6.2467 
 Lower 95% = -1.1235  Date_of_death = Jul2020 
 Upper 95% = 7.1067 
 Lower 95% = -0.2618  Date_of_death = Jul2020 
 Upper 95% = 7.1067 
 Lower 95% = -0.2618  Date_of_death = Jun2020 
 Upper 95% = 6.6010 
 Lower 95% = -0.7658  Date_of_death = Jun2020 
 Upper 95% = 6.6010 
 Lower 95% = -0.7658  Date_of_death = May2020 
 Upper 95% = 6.7827 
 Lower 95% = -0.5824  Date_of_death = May2020 
 Upper 95% = 6.7827 
 Lower 95% = -0.5824  Date_of_death = Apr2020 
 Upper 95% = 6.8716 
 Lower 95% = -0.4917  Date_of_death = Apr2020 
 Upper 95% = 6.8716 
 Lower 95% = -0.4917  Date_of_death = Mar2020 
 Upper 95% = 6.8891 
 Lower 95% = -0.4724  Date_of_death = Mar2020 
 Upper 95% = 6.8891 
 Lower 95% = -0.4724  Date_of_death = Feb2020 
 Upper 95% = 5.9521 
 Lower 95% = -1.4076  Date_of_death = Feb2020 
 Upper 95% = 5.9521 
 Lower 95% = -1.4076  Date_of_death = Jan2020 
 Upper 95% = 7.3721 
 Lower 95% = 0.0076  Date_of_death = Jan2020 
 Upper 95% = 7.3721 
 Lower 95% = 0.0076  Date_of_death = Dec2019 
 Upper 95% = 6.1435 
 Lower 95% = -1.2191  Date_of_death = Dec2019 
 Upper 95% = 6.1435 
 Lower 95% = -1.2191  Date_of_death = Nov2019 
 Upper 95% = 6.6975 
 Lower 95% = -0.6633  Date_of_death = Nov2019 
 Upper 95% = 6.6975 
 Lower 95% = -0.6633  Date_of_death = Oct2019 
 Upper 95% = 6.2822 
 Lower 95% = -1.0773
Forecast Plot

County=Jackson

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.82627 1.33030

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.82627 1.33030

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.40975
Level Error Variance 0.52866
Season Error Variance 1.69411

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -401.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 808.33
BIC (smaller is better) 818.56
AICC (smaller is better) 808.44
HQIC (smaller is better) 812.46
CAIC (smaller is better) 821.56
Likelihood Optimization Algorithm Converged in 14 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.73891 0.19975 8.71 <.0001
Level Error Variance 1.189838E-9 8.18539E-7 0.00 0.9988
Season Error Variance 0.00236 0.01798 0.13 0.8954

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.05367
Root Mean Squared Error 1.43306
Mean Absolute Percentage Error 71.26681
Maximum Percent Error 74.99998
R-Square -0.17096
Adjusted R-Square -0.18156
Random Walk R-Square 0.41396
Amemiya's Adjusted R-Square -0.20275

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 15.11 0.0001
Level 1 1086.48 <.0001
Season 11 11.17 0.4292

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.830339579 0.0858673

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00236

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error
Chi-Square DF Pr > ChiSq
143 DEC2011 Additive Outlier -2.71367 1.3581463 3.99 1 0.0457
107 DEC2008 Additive Outlier -2.70681 1.3578992 3.97 1 0.0462

Residual Diagnostics Panel

 Prediction Error = 4.5937 
 Percent = 0.0243  Prediction Error = 4.5469 
 Percent = 0.0295  Prediction Error = 4.5469 
 Percent = 0.0295  Prediction Error = 4.5 
 Percent = 0.0355  Prediction Error = 4.5 
 Percent = 0.0355  Prediction Error = 4.4531 
 Percent = 0.0425  Prediction Error = 4.4531 
 Percent = 0.0425  Prediction Error = 4.4062 
 Percent = 0.0506  Prediction Error = 4.4062 
 Percent = 0.0506  Prediction Error = 4.3594 
 Percent = 0.06  Prediction Error = 4.3594 
 Percent = 0.06  Prediction Error = 4.3125 
 Percent = 0.0708  Prediction Error = 4.3125 
 Percent = 0.0708  Prediction Error = 4.2656 
 Percent = 0.0831  Prediction Error = 4.2656 
 Percent = 0.0831  Prediction Error = 4.2187 
 Percent = 0.0972  Prediction Error = 4.2187 
 Percent = 0.0972  Prediction Error = 4.1719 
 Percent = 0.113  Prediction Error = 4.1719 
 Percent = 0.113  Prediction Error = 4.125 
 Percent = 0.1309  Prediction Error = 4.125 
 Percent = 0.1309  Prediction Error = 4.0781 
 Percent = 0.1508  Prediction Error = 4.0781 
 Percent = 0.1508  Prediction Error = 4.0312 
 Percent = 0.1731  Prediction Error = 4.0312 
 Percent = 0.1731  Prediction Error = 3.9844 
 Percent = 0.1978  Prediction Error = 3.9844 
 Percent = 0.1978  Prediction Error = 3.9375 
 Percent = 0.225  Prediction Error = 3.9375 
 Percent = 0.225  Prediction Error = 3.8906 
 Percent = 0.255  Prediction Error = 3.8906 
 Percent = 0.255  Prediction Error = 3.8437 
 Percent = 0.2878  Prediction Error = 3.8437 
 Percent = 0.2878  Prediction Error = 3.7969 
 Percent = 0.3236  Prediction Error = 3.7969 
 Percent = 0.3236  Prediction Error = 3.75 
 Percent = 0.3625  Prediction Error = 3.75 
 Percent = 0.3625  Prediction Error = 3.7031 
 Percent = 0.4046  Prediction Error = 3.7031 
 Percent = 0.4046  Prediction Error = 3.6562 
 Percent = 0.4502  Prediction Error = 3.6562 
 Percent = 0.4502  Prediction Error = 3.6094 
 Percent = 0.4993  Prediction Error = 3.6094 
 Percent = 0.4993  Prediction Error = 3.5625 
 Percent = 0.5521  Prediction Error = 3.5625 
 Percent = 0.5521  Prediction Error = 3.5156 
 Percent = 0.6088  Prediction Error = 3.5156 
 Percent = 0.6088  Prediction Error = 3.4687 
 Percent = 0.6697  Prediction Error = 3.4687 
 Percent = 0.6697  Prediction Error = 3.4219 
 Percent = 0.7349  Prediction Error = 3.4219 
 Percent = 0.7349  Prediction Error = 3.375 
 Percent = 0.8048  Prediction Error = 3.375 
 Percent = 0.8048  Prediction Error = 3.3281 
 Percent = 0.8797  Prediction Error = 3.3281 
 Percent = 0.8797  Prediction Error = 3.2812 
 Percent = 0.9599  Prediction Error = 3.2812 
 Percent = 0.9599  Prediction Error = 3.2344 
 Percent = 1.0459  Prediction Error = 3.2344 
 Percent = 1.0459  Prediction Error = 3.1875 
 Percent = 1.1381  Prediction Error = 3.1875 
 Percent = 1.1381  Prediction Error = 3.1406 
 Percent = 1.2372  Prediction Error = 3.1406 
 Percent = 1.2372  Prediction Error = 3.0937 
 Percent = 1.3436  Prediction Error = 3.0937 
 Percent = 1.3436  Prediction Error = 3.0469 
 Percent = 1.4581  Prediction Error = 3.0469 
 Percent = 1.4581  Prediction Error = 3 
 Percent = 1.5814  Prediction Error = 3 
 Percent = 1.5814  Prediction Error = 2.9531 
 Percent = 1.7143  Prediction Error = 2.9531 
 Percent = 1.7143  Prediction Error = 2.9062 
 Percent = 1.8574  Prediction Error = 2.9062 
 Percent = 1.8574  Prediction Error = 2.8594 
 Percent = 2.0118  Prediction Error = 2.8594 
 Percent = 2.0118  Prediction Error = 2.8125 
 Percent = 2.1782  Prediction Error = 2.8125 
 Percent = 2.1782  Prediction Error = 2.7656 
 Percent = 2.3575  Prediction Error = 2.7656 
 Percent = 2.3575  Prediction Error = 2.7187 
 Percent = 2.5506  Prediction Error = 2.7187 
 Percent = 2.5506  Prediction Error = 2.6719 
 Percent = 2.7583  Prediction Error = 2.6719 
 Percent = 2.7583  Prediction Error = 2.625 
 Percent = 2.9815  Prediction Error = 2.625 
 Percent = 2.9815  Prediction Error = 2.5781 
 Percent = 3.2208  Prediction Error = 2.5781 
 Percent = 3.2208  Prediction Error = 2.5312 
 Percent = 3.4769  Prediction Error = 2.5312 
 Percent = 3.4769  Prediction Error = 2.4844 
 Percent = 3.7505  Prediction Error = 2.4844 
 Percent = 3.7505  Prediction Error = 2.4375 
 Percent = 4.0419  Prediction Error = 2.4375 
 Percent = 4.0419  Prediction Error = 2.3906 
 Percent = 4.3515  Prediction Error = 2.3906 
 Percent = 4.3515  Prediction Error = 2.3437 
 Percent = 4.6795  Prediction Error = 2.3437 
 Percent = 4.6795  Prediction Error = 2.2969 
 Percent = 5.0258  Prediction Error = 2.2969 
 Percent = 5.0258  Prediction Error = 2.25 
 Percent = 5.3903  Prediction Error = 2.25 
 Percent = 5.3903  Prediction Error = 2.2031 
 Percent = 5.7725  Prediction Error = 2.2031 
 Percent = 5.7725  Prediction Error = 2.1562 
 Percent = 6.1719  Prediction Error = 2.1562 
 Percent = 6.1719  Prediction Error = 2.1094 
 Percent = 6.5875  Prediction Error = 2.1094 
 Percent = 6.5875  Prediction Error = 2.0625 
 Percent = 7.0183  Prediction Error = 2.0625 
 Percent = 7.0183  Prediction Error = 2.0156 
 Percent = 7.4631  Prediction Error = 2.0156 
 Percent = 7.4631  Prediction Error = 1.9219 
 Percent = 8.3878  Prediction Error = 1.9219 
 Percent = 8.3878  Prediction Error = 1.7344 
 Percent = 10.32  Prediction Error = 1.7344 
 Percent = 10.32  Prediction Error = 1.5937 
 Percent = 11.763  Prediction Error = 1.5937 
 Percent = 11.763  Prediction Error = 1.5 
 Percent = 12.678  Prediction Error = 1.5 
 Percent = 12.678  Prediction Error = 1.4531 
 Percent = 13.113  Prediction Error = 1.4531 
 Percent = 13.113  Prediction Error = 1.4062 
 Percent = 13.528  Prediction Error = 1.4062 
 Percent = 13.528  Prediction Error = 1.3594 
 Percent = 13.922  Prediction Error = 1.3594 
 Percent = 13.922  Prediction Error = 1.3125 
 Percent = 14.291  Prediction Error = 1.3125 
 Percent = 14.291  Prediction Error = 1.2656 
 Percent = 14.633  Prediction Error = 1.2656 
 Percent = 14.633  Prediction Error = 1.2187 
 Percent = 14.946  Prediction Error = 1.2187 
 Percent = 14.946  Prediction Error = 1.1719 
 Percent = 15.228  Prediction Error = 1.1719 
 Percent = 15.228  Prediction Error = 1.125 
 Percent = 15.478  Prediction Error = 1.125 
 Percent = 15.478  Prediction Error = 1.0781 
 Percent = 15.694  Prediction Error = 1.0781 
 Percent = 15.694  Prediction Error = 1.0312 
 Percent = 15.875  Prediction Error = 1.0312 
 Percent = 15.875  Prediction Error = 0.9844 
 Percent = 16.021  Prediction Error = 0.9844 
 Percent = 16.021  Prediction Error = 0.9375 
 Percent = 16.132  Prediction Error = 0.9375 
 Percent = 16.132  Prediction Error = 0.8906 
 Percent = 16.207  Prediction Error = 0.8906 
 Percent = 16.207  Prediction Error = 0.8437 
 Percent = 16.247  Prediction Error = 0.8437 
 Percent = 16.247  Prediction Error = 0.7969 
 Percent = 16.253  Prediction Error = 0.7969 
 Percent = 16.253  Prediction Error = 0.75 
 Percent = 16.226  Prediction Error = 0.75 
 Percent = 16.226  Prediction Error = 0.7031 
 Percent = 16.167  Prediction Error = 0.7031 
 Percent = 16.167  Prediction Error = 0.6562 
 Percent = 16.077  Prediction Error = 0.6562 
 Percent = 16.077  Prediction Error = 0.6094 
 Percent = 15.958  Prediction Error = 0.6094 
 Percent = 15.958  Prediction Error = 0.5625 
 Percent = 15.813  Prediction Error = 0.5625 
 Percent = 15.813  Prediction Error = 0.5156 
 Percent = 15.642  Prediction Error = 0.5156 
 Percent = 15.642  Prediction Error = 0.4687 
 Percent = 15.449  Prediction Error = 0.4687 
 Percent = 15.449  Prediction Error = 0.4219 
 Percent = 15.235  Prediction Error = 0.4219 
 Percent = 15.235  Prediction Error = 0.375 
 Percent = 15.002  Prediction Error = 0.375 
 Percent = 15.002  Prediction Error = 0.3281 
 Percent = 14.752  Prediction Error = 0.3281 
 Percent = 14.752  Prediction Error = 0.2812 
 Percent = 14.489  Prediction Error = 0.2812 
 Percent = 14.489  Prediction Error = -0.094 
 Percent = 12.142  Prediction Error = -0.094 
 Percent = 12.142  Prediction Error = -0.188 
 Percent = 11.567  Prediction Error = -0.188 
 Percent = 11.567  Prediction Error = -0.234 
 Percent = 11.293  Prediction Error = -0.234 
 Percent = 11.293  Prediction Error = -0.281 
 Percent = 11.029  Prediction Error = -0.281 
 Percent = 11.029  Prediction Error = -0.328 
 Percent = 10.778  Prediction Error = -0.328 
 Percent = 10.778  Prediction Error = -0.375 
 Percent = 10.541  Prediction Error = -0.375 
 Percent = 10.541  Prediction Error = -0.422 
 Percent = 10.319  Prediction Error = -0.422 
 Percent = 10.319  Prediction Error = -0.469 
 Percent = 10.113  Prediction Error = -0.469 
 Percent = 10.113  Prediction Error = -0.516 
 Percent = 9.9247  Prediction Error = -0.516 
 Percent = 9.9247  Prediction Error = -0.563 
 Percent = 9.7546  Prediction Error = -0.563 
 Percent = 9.7546  Prediction Error = -0.609 
 Percent = 9.6032  Prediction Error = -0.609 
 Percent = 9.6032  Prediction Error = -0.656 
 Percent = 9.4708  Prediction Error = -0.656 
 Percent = 9.4708  Prediction Error = -0.703 
 Percent = 9.3575  Prediction Error = -0.703 
 Percent = 9.3575  Prediction Error = -0.75 
 Percent = 9.2632  Prediction Error = -0.75 
 Percent = 9.2632  Prediction Error = -0.797 
 Percent = 9.1876  Prediction Error = -0.797 
 Percent = 9.1876  Prediction Error = -0.844 
 Percent = 9.1298  Prediction Error = -0.844 
 Percent = 9.1298  Prediction Error = -0.891 
 Percent = 9.0893  Prediction Error = -0.891 
 Percent = 9.0893  Prediction Error = -0.938 
 Percent = 9.0648  Prediction Error = -0.938 
 Percent = 9.0648  Prediction Error = -0.984 
 Percent = 9.0551  Prediction Error = -0.984 
 Percent = 9.0551  Prediction Error = -1.031 
 Percent = 9.0588  Prediction Error = -1.031 
 Percent = 9.0588  Prediction Error = -1.078 
 Percent = 9.0741  Prediction Error = -1.078 
 Percent = 9.0741  Prediction Error = -1.125 
 Percent = 9.0994  Prediction Error = -1.125 
 Percent = 9.0994  Prediction Error = -1.172 
 Percent = 9.1326  Prediction Error = -1.172 
 Percent = 9.1326  Prediction Error = -1.219 
 Percent = 9.1718  Prediction Error = -1.219 
 Percent = 9.1718  Prediction Error = -1.359 
 Percent = 9.3034  Prediction Error = -1.359 
 Percent = 9.3034  Prediction Error = -1.406 
 Percent = 9.3447  Prediction Error = -1.406 
 Percent = 9.3447  Prediction Error = -1.453 
 Percent = 9.3812  Prediction Error = -1.453 
 Percent = 9.3812  Prediction Error = -1.5 
 Percent = 9.4106  Prediction Error = -1.5 
 Percent = 9.4106  Prediction Error = -1.547 
 Percent = 9.4311  Prediction Error = -1.547 
 Percent = 9.4311  Prediction Error = -1.594 
 Percent = 9.4407  Prediction Error = -1.594 
 Percent = 9.4407  Prediction Error = -1.641 
 Percent = 9.4378  Prediction Error = -1.641 
 Percent = 9.4378  Prediction Error = -1.688 
 Percent = 9.4207  Prediction Error = -1.688 
 Percent = 9.4207  Prediction Error = -1.734 
 Percent = 9.3881  Prediction Error = -1.734 
 Percent = 9.3881  Prediction Error = -1.781 
 Percent = 9.339  Prediction Error = -1.781 
 Percent = 9.339  Prediction Error = -1.828 
 Percent = 9.2723  Prediction Error = -1.828 
 Percent = 9.2723  Prediction Error = -1.875 
 Percent = 9.1875  Prediction Error = -1.875 
 Percent = 9.1875  Prediction Error = -1.922 
 Percent = 9.0841  Prediction Error = -1.922 
 Percent = 9.0841  Prediction Error = -1.969 
 Percent = 8.962  Prediction Error = -1.969 
 Percent = 8.962  Prediction Error = -2.016 
 Percent = 8.8213  Prediction Error = -2.016 
 Percent = 8.8213  Prediction Error = -2.063 
 Percent = 8.6624  Prediction Error = -2.063 
 Percent = 8.6624  Prediction Error = -2.109 
 Percent = 8.4858  Prediction Error = -2.109 
 Percent = 8.4858  Prediction Error = -2.156 
 Percent = 8.2924  Prediction Error = -2.156 
 Percent = 8.2924  Prediction Error = -2.203 
 Percent = 8.0833  Prediction Error = -2.203 
 Percent = 8.0833  Prediction Error = -2.25 
 Percent = 7.8595  Prediction Error = -2.25 
 Percent = 7.8595  Prediction Error = -2.297 
 Percent = 7.6226  Prediction Error = -2.297 
 Percent = 7.6226  Prediction Error = -2.344 
 Percent = 7.3739  Prediction Error = -2.344 
 Percent = 7.3739  Prediction Error = -2.766 
 Percent = 4.8797  Prediction Error = -2.766 
 Percent = 4.8797  Prediction Error = -2.859 
 Percent = 4.3312  Prediction Error = -2.859 
 Percent = 4.3312  Prediction Error = -2.953 
 Percent = 3.8067  Prediction Error = -2.953 
 Percent = 3.8067  Prediction Error = -3 
 Percent = 3.5556  Prediction Error = -3 
 Percent = 3.5556  Prediction Error = -3.047 
 Percent = 3.3127  Prediction Error = -3.047 
 Percent = 3.3127  Prediction Error = -3.094 
 Percent = 3.0787  Prediction Error = -3.094 
 Percent = 3.0787  Prediction Error = -3.141 
 Percent = 2.8539  Prediction Error = -3.141 
 Percent = 2.8539  Prediction Error = -3.187 
 Percent = 2.6387  Prediction Error = -3.187 
 Percent = 2.6387  Prediction Error = -3.234 
 Percent = 2.4333  Prediction Error = -3.234 
 Percent = 2.4333  Prediction Error = -3.281 
 Percent = 2.2379  Prediction Error = -3.281 
 Percent = 2.2379  Prediction Error = -3.328 
 Percent = 2.0525  Prediction Error = -3.328 
 Percent = 2.0525  Prediction Error = -3.375 
 Percent = 1.8771  Prediction Error = -3.375 
 Percent = 1.8771  Prediction Error = -3.422 
 Percent = 1.7118  Prediction Error = -3.422 
 Percent = 1.7118  Prediction Error = -3.469 
 Percent = 1.5564  Prediction Error = -3.469 
 Percent = 1.5564  Prediction Error = -3.516 
 Percent = 1.4107  Prediction Error = -3.516 
 Percent = 1.4107  Prediction Error = -3.562 
 Percent = 1.2746  Prediction Error = -3.562 
 Percent = 1.2746  Prediction Error = -3.609 
 Percent = 1.148  Prediction Error = -3.609 
 Percent = 1.148  Prediction Error = -3.656 
 Percent = 1.0304  Prediction Error = -3.656 
 Percent = 1.0304  Prediction Error = -3.703 
 Percent = 0.9217  Prediction Error = -3.703 
 Percent = 0.9217  Prediction Error = -3.75 
 Percent = 0.8216  Prediction Error = -3.75 
 Percent = 0.8216  Prediction Error = -3.797 
 Percent = 0.7296  Prediction Error = -3.797 
 Percent = 0.7296  Prediction Error = -3.844 
 Percent = 0.6456  Prediction Error = -3.844 
 Percent = 0.6456  Prediction Error = -3.891 
 Percent = 0.569  Prediction Error = -3.891 
 Percent = 0.569  Prediction Error = -3.937 
 Percent = 0.4996  Prediction Error = -3.937 
 Percent = 0.4996  Prediction Error = -3.984 
 Percent = 0.4368  Prediction Error = -3.984 
 Percent = 0.4368  Prediction Error = -4.031 
 Percent = 0.3804  Prediction Error = -4.031 
 Percent = 0.3804  Prediction Error = -4.078 
 Percent = 0.3299  Prediction Error = -4.078 
 Percent = 0.3299  Prediction Error = -4.125 
 Percent = 0.2849  Prediction Error = -4.125 
 Percent = 0.2849  Prediction Error = -4.172 
 Percent = 0.2449  Prediction Error = -4.172 
 Percent = 0.2449  Prediction Error = -4.219 
 Percent = 0.2096  Prediction Error = -4.219 
 Percent = 0.2096  Prediction Error = -4.266 
 Percent = 0.1786  Prediction Error = -4.266 
 Percent = 0.1786  Prediction Error = -4.312 
 Percent = 0.1515  Prediction Error = -4.312 
 Percent = 0.1515  Prediction Error = -4.359 
 Percent = 0.1279  Prediction Error = -4.359 
 Percent = 0.1279  Prediction Error = -4.406 
 Percent = 0.1075  Prediction Error = -4.406 
 Percent = 0.1075  Prediction Error = -4.453 
 Percent = 0.0899  Prediction Error = -4.453 
 Percent = 0.0899  Prediction Error = -4.5 
 Percent = 0.0749  Prediction Error = -4.5 
 Percent = 0.0749  Prediction Error = -4.547 
 Percent = 0.062  Prediction Error = -4.547 
 Percent = 0.062  Prediction Error = -4.594 
 Percent = 0.0511  Prediction Error = 4.2663 
 Percent = 0.1852  Prediction Error = 4.2228 
 Percent = 0.2027  Prediction Error = 4.2228 
 Percent = 0.2027  Prediction Error = 4.1793 
 Percent = 0.2217  Prediction Error = 4.1793 
 Percent = 0.2217  Prediction Error = 4.1358 
 Percent = 0.2423  Prediction Error = 4.1358 
 Percent = 0.2423  Prediction Error = 4.0923 
 Percent = 0.2645  Prediction Error = 4.0923 
 Percent = 0.2645  Prediction Error = 4.0488 
 Percent = 0.2885  Prediction Error = 4.0488 
 Percent = 0.2885  Prediction Error = 4.0053 
 Percent = 0.3143  Prediction Error = 4.0053 
 Percent = 0.3143  Prediction Error = 3.9618 
 Percent = 0.3422  Prediction Error = 3.9618 
 Percent = 0.3422  Prediction Error = 3.9183 
 Percent = 0.3722  Prediction Error = 3.9183 
 Percent = 0.3722  Prediction Error = 3.8748 
 Percent = 0.4044  Prediction Error = 3.8748 
 Percent = 0.4044  Prediction Error = 3.8313 
 Percent = 0.4391  Prediction Error = 3.8313 
 Percent = 0.4391  Prediction Error = 3.7878 
 Percent = 0.4763  Prediction Error = 3.7878 
 Percent = 0.4763  Prediction Error = 3.7443 
 Percent = 0.5161  Prediction Error = 3.7443 
 Percent = 0.5161  Prediction Error = 3.7008 
 Percent = 0.5588  Prediction Error = 3.7008 
 Percent = 0.5588  Prediction Error = 3.6573 
 Percent = 0.6044  Prediction Error = 3.6573 
 Percent = 0.6044  Prediction Error = 3.6137 
 Percent = 0.6532  Prediction Error = 3.6137 
 Percent = 0.6532  Prediction Error = 3.5702 
 Percent = 0.7052  Prediction Error = 3.5702 
 Percent = 0.7052  Prediction Error = 3.5267 
 Percent = 0.7607  Prediction Error = 3.5267 
 Percent = 0.7607  Prediction Error = 3.4832 
 Percent = 0.8198  Prediction Error = 3.4832 
 Percent = 0.8198  Prediction Error = 3.4397 
 Percent = 0.8827  Prediction Error = 3.4397 
 Percent = 0.8827  Prediction Error = 3.3962 
 Percent = 0.9496  Prediction Error = 3.3962 
 Percent = 0.9496  Prediction Error = 3.3527 
 Percent = 1.0206  Prediction Error = 3.3527 
 Percent = 1.0206  Prediction Error = 3.3092 
 Percent = 1.0959  Prediction Error = 3.3092 
 Percent = 1.0959  Prediction Error = 3.2657 
 Percent = 1.1756  Prediction Error = 3.2657 
 Percent = 1.1756  Prediction Error = 3.2222 
 Percent = 1.26  Prediction Error = 3.2222 
 Percent = 1.26  Prediction Error = 3.1787 
 Percent = 1.3492  Prediction Error = 3.1787 
 Percent = 1.3492  Prediction Error = 3.1352 
 Percent = 1.4434  Prediction Error = 3.1352 
 Percent = 1.4434  Prediction Error = 3.0917 
 Percent = 1.5428  Prediction Error = 3.0917 
 Percent = 1.5428  Prediction Error = 3.0482 
 Percent = 1.6475  Prediction Error = 3.0482 
 Percent = 1.6475  Prediction Error = 3.0047 
 Percent = 1.7577  Prediction Error = 3.0047 
 Percent = 1.7577  Prediction Error = 2.9612 
 Percent = 1.8735  Prediction Error = 2.9612 
 Percent = 1.8735  Prediction Error = 2.9177 
 Percent = 1.9951  Prediction Error = 2.9177 
 Percent = 1.9951  Prediction Error = 2.8742 
 Percent = 2.1227  Prediction Error = 2.8742 
 Percent = 2.1227  Prediction Error = 2.8306 
 Percent = 2.2564  Prediction Error = 2.8306 
 Percent = 2.2564  Prediction Error = 2.7871 
 Percent = 2.3963  Prediction Error = 2.7871 
 Percent = 2.3963  Prediction Error = 2.7436 
 Percent = 2.5425  Prediction Error = 2.7436 
 Percent = 2.5425  Prediction Error = 2.7001 
 Percent = 2.6951  Prediction Error = 2.7001 
 Percent = 2.6951  Prediction Error = 2.6566 
 Percent = 2.8543  Prediction Error = 2.6566 
 Percent = 2.8543  Prediction Error = 2.6131 
 Percent = 3.0202  Prediction Error = 2.6131 
 Percent = 3.0202  Prediction Error = 2.5696 
 Percent = 3.1927  Prediction Error = 2.5696 
 Percent = 3.1927  Prediction Error = 2.5261 
 Percent = 3.372  Prediction Error = 2.5261 
 Percent = 3.372  Prediction Error = 2.4826 
 Percent = 3.5581  Prediction Error = 2.4826 
 Percent = 3.5581  Prediction Error = 2.4391 
 Percent = 3.751  Prediction Error = 2.4391 
 Percent = 3.751  Prediction Error = 2.3956 
 Percent = 3.9508  Prediction Error = 2.3956 
 Percent = 3.9508  Prediction Error = 2.3521 
 Percent = 4.1573  Prediction Error = 2.3521 
 Percent = 4.1573  Prediction Error = 2.3086 
 Percent = 4.3707  Prediction Error = 2.3086 
 Percent = 4.3707  Prediction Error = 2.2216 
 Percent = 4.8175  Prediction Error = 2.2216 
 Percent = 4.8175  Prediction Error = 2.1346 
 Percent = 5.2905  Prediction Error = 2.1346 
 Percent = 5.2905  Prediction Error = 2.0475 
 Percent = 5.7887  Prediction Error = 2.0475 
 Percent = 5.7887  Prediction Error = 1.9605 
 Percent = 6.3106  Prediction Error = 1.9605 
 Percent = 6.3106  Prediction Error = 1.8735 
 Percent = 6.8543  Prediction Error = 1.8735 
 Percent = 6.8543  Prediction Error = 1.2209 
 Percent = 11.332  Prediction Error = 1.2209 
 Percent = 11.332  Prediction Error = 1.0904 
 Percent = 12.224  Prediction Error = 1.0904 
 Percent = 12.224  Prediction Error = 1.0034 
 Percent = 12.798  Prediction Error = 1.0034 
 Percent = 12.798  Prediction Error = 0.9164 
 Percent = 13.35  Prediction Error = 0.9164 
 Percent = 13.35  Prediction Error = 0.8294 
 Percent = 13.875  Prediction Error = 0.8294 
 Percent = 13.875  Prediction Error = 0.7859 
 Percent = 14.126  Prediction Error = 0.7859 
 Percent = 14.126  Prediction Error = 0.7424 
 Percent = 14.368  Prediction Error = 0.7424 
 Percent = 14.368  Prediction Error = 0.6989 
 Percent = 14.601  Prediction Error = 0.6989 
 Percent = 14.601  Prediction Error = 0.6554 
 Percent = 14.824  Prediction Error = 0.6554 
 Percent = 14.824  Prediction Error = 0.6118 
 Percent = 15.036  Prediction Error = 0.6118 
 Percent = 15.036  Prediction Error = 0.5683 
 Percent = 15.238  Prediction Error = 0.5683 
 Percent = 15.238  Prediction Error = 0.5248 
 Percent = 15.428  Prediction Error = 0.5248 
 Percent = 15.428  Prediction Error = 0.4813 
 Percent = 15.606  Prediction Error = 0.4813 
 Percent = 15.606  Prediction Error = 0.4378 
 Percent = 15.771  Prediction Error = 0.4378 
 Percent = 15.771  Prediction Error = 0.3943 
 Percent = 15.924  Prediction Error = 0.3943 
 Percent = 15.924  Prediction Error = 0.3508 
 Percent = 16.064  Prediction Error = 0.3508 
 Percent = 16.064  Prediction Error = 0.3073 
 Percent = 16.19  Prediction Error = 0.3073 
 Percent = 16.19  Prediction Error = 0.2638 
 Percent = 16.302  Prediction Error = 0.2638 
 Percent = 16.302  Prediction Error = 0.2203 
 Percent = 16.399  Prediction Error = 0.2203 
 Percent = 16.399  Prediction Error = 0.1768 
 Percent = 16.482  Prediction Error = 0.1768 
 Percent = 16.482  Prediction Error = 0.1333 
 Percent = 16.55  Prediction Error = 0.1333 
 Percent = 16.55  Prediction Error = 0.0898 
 Percent = 16.604  Prediction Error = 0.0898 
 Percent = 16.604  Prediction Error = 0.0463 
 Percent = 16.642  Prediction Error = 0.0463 
 Percent = 16.642  Prediction Error = 0.0028 
 Percent = 16.665  Prediction Error = 0.0028 
 Percent = 16.665  Prediction Error = -0.041 
 Percent = 16.672  Prediction Error = -0.041 
 Percent = 16.672  Prediction Error = -0.084 
 Percent = 16.665  Prediction Error = -0.084 
 Percent = 16.665  Prediction Error = -0.128 
 Percent = 16.642  Prediction Error = -0.128 
 Percent = 16.642  Prediction Error = -0.171 
 Percent = 16.604  Prediction Error = -0.171 
 Percent = 16.604  Prediction Error = -0.215 
 Percent = 16.55  Prediction Error = -0.215 
 Percent = 16.55  Prediction Error = -0.258 
 Percent = 16.482  Prediction Error = -0.258 
 Percent = 16.482  Prediction Error = -0.302 
 Percent = 16.399  Prediction Error = -0.302 
 Percent = 16.399  Prediction Error = -0.345 
 Percent = 16.302  Prediction Error = -0.345 
 Percent = 16.302  Prediction Error = -0.389 
 Percent = 16.19  Prediction Error = -0.389 
 Percent = 16.19  Prediction Error = -0.432 
 Percent = 16.064  Prediction Error = -0.432 
 Percent = 16.064  Prediction Error = -0.476 
 Percent = 15.924  Prediction Error = -0.476 
 Percent = 15.924  Prediction Error = -0.519 
 Percent = 15.771  Prediction Error = -0.519 
 Percent = 15.771  Prediction Error = -0.563 
 Percent = 15.606  Prediction Error = -0.563 
 Percent = 15.606  Prediction Error = -0.606 
 Percent = 15.428  Prediction Error = -0.606 
 Percent = 15.428  Prediction Error = -0.65 
 Percent = 15.238  Prediction Error = -0.65 
 Percent = 15.238  Prediction Error = -0.693 
 Percent = 15.036  Prediction Error = -0.693 
 Percent = 15.036  Prediction Error = -0.737 
 Percent = 14.824  Prediction Error = -0.737 
 Percent = 14.824  Prediction Error = -0.78 
 Percent = 14.601  Prediction Error = -0.78 
 Percent = 14.601  Prediction Error = -0.824 
 Percent = 14.368  Prediction Error = -0.824 
 Percent = 14.368  Prediction Error = -0.867 
 Percent = 14.126  Prediction Error = -0.867 
 Percent = 14.126  Prediction Error = -0.911 
 Percent = 13.875  Prediction Error = -0.911 
 Percent = 13.875  Prediction Error = -0.998 
 Percent = 13.35  Prediction Error = -0.998 
 Percent = 13.35  Prediction Error = -1.085 
 Percent = 12.798  Prediction Error = -1.085 
 Percent = 12.798  Prediction Error = -1.607 
 Percent = 9.1955  Prediction Error = -1.607 
 Percent = 9.1955  Prediction Error = -1.781 
 Percent = 7.9976  Prediction Error = -1.781 
 Percent = 7.9976  Prediction Error = -1.911 
 Percent = 7.1336  Prediction Error = -1.911 
 Percent = 7.1336  Prediction Error = -1.998 
 Percent = 6.5798  Prediction Error = -1.998 
 Percent = 6.5798  Prediction Error = -2.086 
 Percent = 6.0468  Prediction Error = -2.086 
 Percent = 6.0468  Prediction Error = -2.173 
 Percent = 5.5366  Prediction Error = -2.173 
 Percent = 5.5366  Prediction Error = -2.26 
 Percent = 5.0508  Prediction Error = -2.26 
 Percent = 5.0508  Prediction Error = -2.347 
 Percent = 4.5908  Prediction Error = -2.347 
 Percent = 4.5908  Prediction Error = -2.39 
 Percent = 4.3707  Prediction Error = -2.39 
 Percent = 4.3707  Prediction Error = -2.434 
 Percent = 4.1573  Prediction Error = -2.434 
 Percent = 4.1573  Prediction Error = -2.477 
 Percent = 3.9508  Prediction Error = -2.477 
 Percent = 3.9508  Prediction Error = -2.521 
 Percent = 3.751  Prediction Error = -2.521 
 Percent = 3.751  Prediction Error = -2.564 
 Percent = 3.5581  Prediction Error = -2.564 
 Percent = 3.5581  Prediction Error = -2.608 
 Percent = 3.372  Prediction Error = -2.608 
 Percent = 3.372  Prediction Error = -2.651 
 Percent = 3.1927  Prediction Error = -2.651 
 Percent = 3.1927  Prediction Error = -2.695 
 Percent = 3.0202  Prediction Error = -2.695 
 Percent = 3.0202  Prediction Error = -2.738 
 Percent = 2.8543  Prediction Error = -2.738 
 Percent = 2.8543  Prediction Error = -2.782 
 Percent = 2.6951  Prediction Error = -2.782 
 Percent = 2.6951  Prediction Error = -2.825 
 Percent = 2.5425  Prediction Error = -2.825 
 Percent = 2.5425  Prediction Error = -2.869 
 Percent = 2.3963  Prediction Error = -2.869 
 Percent = 2.3963  Prediction Error = -2.912 
 Percent = 2.2564  Prediction Error = -2.912 
 Percent = 2.2564  Prediction Error = -2.956 
 Percent = 2.1227  Prediction Error = -2.956 
 Percent = 2.1227  Prediction Error = -2.999 
 Percent = 1.9951  Prediction Error = -2.999 
 Percent = 1.9951  Prediction Error = -3.043 
 Percent = 1.8735  Prediction Error = -3.043 
 Percent = 1.8735  Prediction Error = -3.086 
 Percent = 1.7577  Prediction Error = -3.086 
 Percent = 1.7577  Prediction Error = -3.13 
 Percent = 1.6475  Prediction Error = -3.13 
 Percent = 1.6475  Prediction Error = -3.173 
 Percent = 1.5428  Prediction Error = -3.173 
 Percent = 1.5428  Prediction Error = -3.217 
 Percent = 1.4434  Prediction Error = -3.217 
 Percent = 1.4434  Prediction Error = -3.26 
 Percent = 1.3492  Prediction Error = -3.26 
 Percent = 1.3492  Prediction Error = -3.304 
 Percent = 1.26  Prediction Error = -3.304 
 Percent = 1.26  Prediction Error = -3.347 
 Percent = 1.1756  Prediction Error = -3.347 
 Percent = 1.1756  Prediction Error = -3.391 
 Percent = 1.0959  Prediction Error = -3.391 
 Percent = 1.0959  Prediction Error = -3.434 
 Percent = 1.0206  Prediction Error = -3.434 
 Percent = 1.0206  Prediction Error = -3.478 
 Percent = 0.9496  Prediction Error = -3.478 
 Percent = 0.9496  Prediction Error = -3.521 
 Percent = 0.8827  Prediction Error = -3.521 
 Percent = 0.8827  Prediction Error = -3.565 
 Percent = 0.8198  Prediction Error = -3.565 
 Percent = 0.8198  Prediction Error = -3.608 
 Percent = 0.7607  Prediction Error = -3.608 
 Percent = 0.7607  Prediction Error = -3.652 
 Percent = 0.7052  Prediction Error = -3.652 
 Percent = 0.7052  Prediction Error = -3.695 
 Percent = 0.6532  Prediction Error = -3.695 
 Percent = 0.6532  Prediction Error = -3.739 
 Percent = 0.6044  Prediction Error = -3.739 
 Percent = 0.6044  Prediction Error = -3.782 
 Percent = 0.5588  Prediction Error = -3.782 
 Percent = 0.5588  Prediction Error = -3.826 
 Percent = 0.5161  Prediction Error = -3.826 
 Percent = 0.5161  Prediction Error = -3.869 
 Percent = 0.4763  Prediction Error = -3.869 
 Percent = 0.4763  Prediction Error = -3.913 
 Percent = 0.4391  Prediction Error = -3.913 
 Percent = 0.4391  Prediction Error = -3.956 
 Percent = 0.4044  Prediction Error = -3.956 
 Percent = 0.4044  Prediction Error = -4 
 Percent = 0.3722  Prediction Error = -4 
 Percent = 0.3722  Prediction Error = -4.043 
 Percent = 0.3422  Prediction Error = -4.043 
 Percent = 0.3422  Prediction Error = -4.087 
 Percent = 0.3143  Prediction Error = -4.087 
 Percent = 0.3143  Prediction Error = -4.13 
 Percent = 0.2885  Prediction Error = -4.13 
 Percent = 0.2885  Prediction Error = -4.174 
 Percent = 0.2645  Prediction Error = -4.174 
 Percent = 0.2645  Prediction Error = -4.217 
 Percent = 0.2423  Prediction Error = -4.217 
 Percent = 0.2423  Prediction Error = -4.261 
 Percent = 0.2217  Prediction Error = -4.261 
 Percent = 0.2217  Prediction Error = -4.304 
 Percent = 0.2027  Prediction Error = -4.304 
 Percent = 0.2027  Prediction Error = -4.348 
 Percent = 0.1852  Prediction Error = 2.7 
 Percent = 1.7857  Prediction Error = 2.7 
 Percent = 1.7857  Prediction Error = 2.1 
 Percent = 4.9107  Prediction Error = 2.1 
 Percent = 4.9107  Prediction Error = 1.5 
 Percent = 12.054  Prediction Error = 1.5 
 Percent = 12.054  Prediction Error = 0.9 
 Percent = 23.214  Prediction Error = 0.9 
 Percent = 23.214  Prediction Error = 0.3 
 Percent = 15.625  Prediction Error = 0.3 
 Percent = 15.625  Prediction Error = -0.3 
 Percent = 8.4821  Prediction Error = -0.3 
 Percent = 8.4821  Prediction Error = -0.9 
 Percent = 6.25  Prediction Error = -0.9 
 Percent = 6.25  Prediction Error = -1.5 
 Percent = 10.268  Prediction Error = -1.5 
 Percent = 10.268  Prediction Error = -2.1 
 Percent = 12.946  Prediction Error = -2.1 
 Percent = 12.946  Prediction Error = -2.7 
 Percent = 4.4643  Prediction Error = -2.7 
 Percent = 4.4643  Quantile = 2.7718 
 Residual = 3  Quantile = 2.4448 
 Residual = 2.9992  Quantile = 2.2667 
 Residual = 2.999  Quantile = 2.1403 
 Residual = 2.7525  Quantile = 2.041 
 Residual = 2.3299  Quantile = 1.9585 
 Residual = 2.1661  Quantile = 1.8876 
 Residual = 2.1517  Quantile = 1.825 
 Residual = 2.0173  Quantile = 1.7688 
 Residual = 2.009  Quantile = 1.7178 
 Residual = 2.006  Quantile = 1.6708 
 Residual = 1.9937  Quantile = 1.6273 
 Residual = 1.9221  Quantile = 1.5866 
 Residual = 1.9074  Quantile = 1.5484 
 Residual = 1.8801  Quantile = 1.5124 
 Residual = 1.8678  Quantile = 1.4782 
 Residual = 1.7787  Quantile = 1.4457 
 Residual = 1.7627  Quantile = 1.4146 
 Residual = 1.7379  Quantile = 1.3848 
 Residual = 1.7329  Quantile = 1.3562 
 Residual = 1.7157  Quantile = 1.3287 
 Residual = 1.6104  Quantile = 1.3022 
 Residual = 1.6009  Quantile = 1.2765 
 Residual = 1.53  Quantile = 1.2516 
 Residual = 1.4991  Quantile = 1.2275 
 Residual = 1.498  Quantile = 1.2041 
 Residual = 1.494  Quantile = 1.1814 
 Residual = 1.4878  Quantile = 1.1592 
 Residual = 1.4834  Quantile = 1.1376 
 Residual = 1.4642  Quantile = 1.1165 
 Residual = 1.4402  Quantile = 1.0959 
 Residual = 1.3926  Quantile = 1.0757 
 Residual = 1.3613  Quantile = 1.056 
 Residual = 1.3422  Quantile = 1.0367 
 Residual = 1.3205  Quantile = 1.0177 
 Residual = 1.2916  Quantile = 0.9991 
 Residual = 1.2831  Quantile = 0.9809 
 Residual = 1.252  Quantile = 0.963 
 Residual = 1.2481  Quantile = 0.9453 
 Residual = 1.2346  Quantile = 0.928 
 Residual = 1.2215  Quantile = 0.911 
 Residual = 1.2185  Quantile = 0.8942 
 Residual = 1.2179  Quantile = 0.8776 
 Residual = 1.1883  Quantile = 0.8613 
 Residual = 1.1877  Quantile = 0.8452 
 Residual = 1.1847  Quantile = 0.8293 
 Residual = 1.1762  Quantile = 0.8137 
 Residual = 1.1759  Quantile = 0.7982 
 Residual = 1.1655  Quantile = 0.7829 
 Residual = 1.1623  Quantile = 0.7678 
 Residual = 1.1603  Quantile = 0.7529 
 Residual = 1.1329  Quantile = 0.7381 
 Residual = 1.1192  Quantile = 0.7235 
 Residual = 1.1185  Quantile = 0.7091 
 Residual = 1.097  Quantile = 0.6948 
 Residual = 1.0877  Quantile = 0.6806 
 Residual = 1.0672  Quantile = 0.6666 
 Residual = 1.0581  Quantile = 0.6527 
 Residual = 1.0515  Quantile = 0.639 
 Residual = 1.0282  Quantile = 0.6253 
 Residual = 1.0108  Quantile = 0.6118 
 Residual = 1.0072  Quantile = 0.5983 
 Residual = 1.0014  Quantile = 0.585 
 Residual = 1.0013  Quantile = 0.5718 
 Residual = 0.9989  Quantile = 0.5587 
 Residual = 0.998  Quantile = 0.5457 
 Residual = 0.9978  Quantile = 0.5328 
 Residual = 0.9966  Quantile = 0.5199 
 Residual = 0.9964  Quantile = 0.5072 
 Residual = 0.9903  Quantile = 0.4945 
 Residual = 0.9808  Quantile = 0.4819 
 Residual = 0.9737  Quantile = 0.4694 
 Residual = 0.9366  Quantile = 0.4569 
 Residual = 0.9285  Quantile = 0.4446 
 Residual = 0.9071  Quantile = 0.4323 
 Residual = 0.9009  Quantile = 0.42 
 Residual = 0.8783  Quantile = 0.4078 
 Residual = 0.8699  Quantile = 0.3957 
 Residual = 0.8697  Quantile = 0.3837 
 Residual = 0.8168  Quantile = 0.3717 
 Residual = 0.7954  Quantile = 0.3597 
 Residual = 0.7624  Quantile = 0.3478 
 Residual = 0.7611  Quantile = 0.336 
 Residual = 0.7561  Quantile = 0.3242 
 Residual = 0.7447  Quantile = 0.3124 
 Residual = 0.7414  Quantile = 0.3007 
 Residual = 0.7166  Quantile = 0.289 
 Residual = 0.7039  Quantile = 0.2774 
 Residual = 0.664  Quantile = 0.2658 
 Residual = 0.6613  Quantile = 0.2542 
 Residual = 0.6604  Quantile = 0.2427 
 Residual = 0.6219  Quantile = 0.2312 
 Residual = 0.6127  Quantile = 0.2197 
 Residual = 0.6015  Quantile = 0.2083 
 Residual = 0.6003  Quantile = 0.1969 
 Residual = 0.5846  Quantile = 0.1855 
 Residual = 0.5831  Quantile = 0.1741 
 Residual = 0.5672  Quantile = 0.1628 
 Residual = 0.5132  Quantile = 0.1515 
 Residual = 0.5045  Quantile = 0.1402 
 Residual = 0.4989  Quantile = 0.1289 
 Residual = 0.4977  Quantile = 0.1176 
 Residual = 0.496  Quantile = 0.1064 
 Residual = 0.4781  Quantile = 0.0952 
 Residual = 0.4714  Quantile = 0.0839 
 Residual = 0.441  Quantile = 0.0727 
 Residual = 0.436  Quantile = 0.0615 
 Residual = 0.3956  Quantile = 0.0503 
 Residual = 0.3722  Quantile = 0.0391 
 Residual = 0.3306  Quantile = 0.0279 
 Residual = 0.2411  Quantile = 0.0168 
 Residual = 0.1934  Quantile = 0.0056 
 Residual = 0.1921  Quantile = -0.006 
 Residual = 0.1779  Quantile = -0.017 
 Residual = 0.1697  Quantile = -0.028 
 Residual = 0.1668  Quantile = -0.039 
 Residual = 0.1613  Quantile = -0.05 
 Residual = 0.1407  Quantile = -0.062 
 Residual = 0.0128  Quantile = -0.073 
 Residual = 0.0045  Quantile = -0.084 
 Residual = 0.0031  Quantile = -0.095 
 Residual = 0.0027  Quantile = -0.106 
 Residual = 0.0023  Quantile = -0.118 
 Residual = 0.002  Quantile = -0.129 
 Residual = 0.0015  Quantile = -0.14 
 Residual = .00068  Quantile = -0.151 
 Residual = 3.3E-6  Quantile = -0.163 
 Residual = 1.4E-6  Quantile = -0.174 
 Residual = 1.6E-9  Quantile = -0.185 
 Residual = -4E-16  Quantile = -0.197 
 Residual = -0.001  Quantile = -0.208 
 Residual = -0.001  Quantile = -0.22 
 Residual = -0.002  Quantile = -0.231 
 Residual = -0.003  Quantile = -0.243 
 Residual = -0.005  Quantile = -0.254 
 Residual = -0.011  Quantile = -0.266 
 Residual = -0.018  Quantile = -0.277 
 Residual = -0.022  Quantile = -0.289 
 Residual = -0.095  Quantile = -0.301 
 Residual = -0.116  Quantile = -0.312 
 Residual = -0.234  Quantile = -0.324 
 Residual = -0.329  Quantile = -0.336 
 Residual = -0.34  Quantile = -0.348 
 Residual = -0.357  Quantile = -0.36 
 Residual = -0.498  Quantile = -0.372 
 Residual = -0.56  Quantile = -0.384 
 Residual = -0.565  Quantile = -0.396 
 Residual = -0.565  Quantile = -0.408 
 Residual = -0.572  Quantile = -0.42 
 Residual = -0.657  Quantile = -0.432 
 Residual = -0.718  Quantile = -0.445 
 Residual = -0.724  Quantile = -0.457 
 Residual = -0.785  Quantile = -0.469 
 Residual = -0.797  Quantile = -0.482 
 Residual = -0.84  Quantile = -0.494 
 Residual = -0.902  Quantile = -0.507 
 Residual = -0.935  Quantile = -0.52 
 Residual = -0.979  Quantile = -0.533 
 Residual = -0.983  Quantile = -0.546 
 Residual = -1.022  Quantile = -0.559 
 Residual = -1.149  Quantile = -0.572 
 Residual = -1.19  Quantile = -0.585 
 Residual = -1.193  Quantile = -0.598 
 Residual = -1.201  Quantile = -0.612 
 Residual = -1.213  Quantile = -0.625 
 Residual = -1.22  Quantile = -0.639 
 Residual = -1.222  Quantile = -0.653 
 Residual = -1.24  Quantile = -0.667 
 Residual = -1.31  Quantile = -0.681 
 Residual = -1.319  Quantile = -0.695 
 Residual = -1.381  Quantile = -0.709 
 Residual = -1.383  Quantile = -0.724 
 Residual = -1.4  Quantile = -0.738 
 Residual = -1.495  Quantile = -0.753 
 Residual = -1.499  Quantile = -0.768 
 Residual = -1.503  Quantile = -0.783 
 Residual = -1.508  Quantile = -0.798 
 Residual = -1.513  Quantile = -0.814 
 Residual = -1.603  Quantile = -0.829 
 Residual = -1.633  Quantile = -0.845 
 Residual = -1.656  Quantile = -0.861 
 Residual = -1.665  Quantile = -0.878 
 Residual = -1.724  Quantile = -0.894 
 Residual = -1.728  Quantile = -0.911 
 Residual = -1.771  Quantile = -0.928 
 Residual = -1.795  Quantile = -0.945 
 Residual = -1.804  Quantile = -0.963 
 Residual = -1.869  Quantile = -0.981 
 Residual = -1.881  Quantile = -0.999 
 Residual = -1.91  Quantile = -1.018 
 Residual = -1.91  Quantile = -1.037 
 Residual = -1.919  Quantile = -1.056 
 Residual = -1.925  Quantile = -1.076 
 Residual = -1.932  Quantile = -1.096 
 Residual = -1.956  Quantile = -1.116 
 Residual = -1.97  Quantile = -1.138 
 Residual = -1.986  Quantile = -1.159 
 Residual = -1.995  Quantile = -1.181 
 Residual = -2  Quantile = -1.204 
 Residual = -2.003  Quantile = -1.228 
 Residual = -2.047  Quantile = -1.252 
 Residual = -2.077  Quantile = -1.276 
 Residual = -2.081  Quantile = -1.302 
 Residual = -2.097  Quantile = -1.329 
 Residual = -2.164  Quantile = -1.356 
 Residual = -2.168  Quantile = -1.385 
 Residual = -2.176  Quantile = -1.415 
 Residual = -2.192  Quantile = -1.446 
 Residual = -2.21  Quantile = -1.478 
 Residual = -2.222  Quantile = -1.512 
 Residual = -2.279  Quantile = -1.548 
 Residual = -2.281  Quantile = -1.587 
 Residual = -2.286  Quantile = -1.627 
 Residual = -2.39  Quantile = -1.671 
 Residual = -2.393  Quantile = -1.718 
 Residual = -2.456  Quantile = -1.769 
 Residual = -2.505  Quantile = -1.825 
 Residual = -2.523  Quantile = -1.888 
 Residual = -2.869  Quantile = -1.959 
 Residual = -2.996  Quantile = -2.041 
 Residual = -2.997  Quantile = -2.14 
 Residual = -2.998  Quantile = -2.267 
 Residual = -2.999  Quantile = -2.445 
 Residual = -3  Quantile = -2.772 
 Residual = -3  Slope = 1.4357 
 Y = -0.041  Lag = 24 
 ACF = 0.0216  Lag = 23 
 ACF = -0.013  Lag = 22 
 ACF = -0.026  Lag = 21 
 ACF = -0.019  Lag = 20 
 ACF = 0.0853  Lag = 19 
 ACF = 0.0881  Lag = 18 
 ACF = -0.096  Lag = 17 
 ACF = 0.0187  Lag = 16 
 ACF = -0.067  Lag = 15 
 ACF = -0.137  Lag = 14 
 ACF = -0.095  Lag = 13 
 ACF = 0.0037  Lag = 12 
 ACF = 0.0387  Lag = 11 
 ACF = 0.0419  Lag = 10 
 ACF = 0.093  Lag = 9 
 ACF = -0.046  Lag = 8 
 ACF = -0.064  Lag = 7 
 ACF = -0.021  Lag = 6 
 ACF = -0.034  Lag = 5 
 ACF = -0.117  Lag = 4 
 ACF = -0.081  Lag = 3 
 ACF = -0.014  Lag = 2 
 ACF = -0.02  Lag = 1 
 ACF = -0.019  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.146 
 Upper = 0.1463  Lag = 23 
 Lower = -0.146 
 Upper = 0.1462  Lag = 23 
 Lower = -0.146 
 Upper = 0.1462  Lag = 22 
 Lower = -0.146 
 Upper = 0.1462  Lag = 22 
 Lower = -0.146 
 Upper = 0.1462  Lag = 21 
 Lower = -0.146 
 Upper = 0.1461  Lag = 21 
 Lower = -0.146 
 Upper = 0.1461  Lag = 20 
 Lower = -0.145 
 Upper = 0.1452  Lag = 20 
 Lower = -0.145 
 Upper = 0.1452  Lag = 19 
 Lower = -0.144 
 Upper = 0.1443  Lag = 19 
 Lower = -0.144 
 Upper = 0.1443  Lag = 18 
 Lower = -0.143 
 Upper = 0.1431  Lag = 18 
 Lower = -0.143 
 Upper = 0.1431  Lag = 17 
 Lower = -0.143 
 Upper = 0.1431  Lag = 17 
 Lower = -0.143 
 Upper = 0.1431  Lag = 16 
 Lower = -0.143 
 Upper = 0.1425  Lag = 16 
 Lower = -0.143 
 Upper = 0.1425  Lag = 15 
 Lower = -0.14 
 Upper = 0.1401  Lag = 15 
 Lower = -0.14 
 Upper = 0.1401  Lag = 14 
 Lower = -0.139 
 Upper = 0.139  Lag = 14 
 Lower = -0.139 
 Upper = 0.139  Lag = 13 
 Lower = -0.139 
 Upper = 0.139  Lag = 13 
 Lower = -0.139 
 Upper = 0.139  Lag = 12 
 Lower = -0.139 
 Upper = 0.1388  Lag = 12 
 Lower = -0.139 
 Upper = 0.1388  Lag = 11 
 Lower = -0.139 
 Upper = 0.1386  Lag = 11 
 Lower = -0.139 
 Upper = 0.1386  Lag = 10 
 Lower = -0.137 
 Upper = 0.1375  Lag = 10 
 Lower = -0.137 
 Upper = 0.1375  Lag = 9 
 Lower = -0.137 
 Upper = 0.1372  Lag = 9 
 Lower = -0.137 
 Upper = 0.1372  Lag = 8 
 Lower = -0.137 
 Upper = 0.1366  Lag = 8 
 Lower = -0.137 
 Upper = 0.1366  Lag = 7 
 Lower = -0.137 
 Upper = 0.1366  Lag = 7 
 Lower = -0.137 
 Upper = 0.1366  Lag = 6 
 Lower = -0.136 
 Upper = 0.1364  Lag = 6 
 Lower = -0.136 
 Upper = 0.1364  Lag = 5 
 Lower = -0.135 
 Upper = 0.1346  Lag = 5 
 Lower = -0.135 
 Upper = 0.1346  Lag = 4 
 Lower = -0.134 
 Upper = 0.1338  Lag = 4 
 Lower = -0.134 
 Upper = 0.1338  Lag = 3 
 Lower = -0.134 
 Upper = 0.1337  Lag = 3 
 Lower = -0.134 
 Upper = 0.1337  Lag = 2 
 Lower = -0.134 
 Upper = 0.1337  Lag = 2 
 Lower = -0.134 
 Upper = 0.1337  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0106  Lag = 23 
 PACF = -0.078  Lag = 22 
 PACF = -0.081  Lag = 21 
 PACF = -0.051  Lag = 20 
 PACF = 0.0392  Lag = 19 
 PACF = 0.0437  Lag = 18 
 PACF = -0.122  Lag = 17 
 PACF = 0.0014  Lag = 16 
 PACF = -0.081  Lag = 15 
 PACF = -0.134  Lag = 14 
 PACF = -0.102  Lag = 13 
 PACF = -0.019  Lag = 12 
 PACF = 0.0232  Lag = 11 
 PACF = 0.0275  Lag = 10 
 PACF = 0.063  Lag = 9 
 PACF = -0.077  Lag = 8 
 PACF = -0.081  Lag = 7 
 PACF = -0.032  Lag = 6 
 PACF = -0.045  Lag = 5 
 PACF = -0.122  Lag = 4 
 PACF = -0.082  Lag = 3 
 PACF = -0.014  Lag = 2 
 PACF = -0.02  Lag = 1 
 PACF = -0.019  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Sep2019 
 Loess Fit = -0.073  Date_of_death = Jul2019 
 Loess Fit = -0.073  Date_of_death = Jul2019 
 Loess Fit = -0.073  Date_of_death = Jun2019 
 Loess Fit = -0.073  Date_of_death = Jun2019 
 Loess Fit = -0.073  Date_of_death = May2019 
 Loess Fit = -0.073  Date_of_death = May2019 
 Loess Fit = -0.073  Date_of_death = Apr2019 
 Loess Fit = -0.074  Date_of_death = Apr2019 
 Loess Fit = -0.074  Date_of_death = Mar2019 
 Loess Fit = -0.074  Date_of_death = Mar2019 
 Loess Fit = -0.074  Date_of_death = Feb2019 
 Loess Fit = -0.074  Date_of_death = Feb2019 
 Loess Fit = -0.074  Date_of_death = Jan2019 
 Loess Fit = -0.074  Date_of_death = Jan2019 
 Loess Fit = -0.074  Date_of_death = Dec2018 
 Loess Fit = -0.074  Date_of_death = Dec2018 
 Loess Fit = -0.074  Date_of_death = Oct2018 
 Loess Fit = -0.074  Date_of_death = Oct2018 
 Loess Fit = -0.074  Date_of_death = Sep2018 
 Loess Fit = -0.074  Date_of_death = Sep2018 
 Loess Fit = -0.074  Date_of_death = Aug2018 
 Loess Fit = -0.074  Date_of_death = Aug2018 
 Loess Fit = -0.074  Date_of_death = Jul2018 
 Loess Fit = -0.074  Date_of_death = Jul2018 
 Loess Fit = -0.074  Date_of_death = Jun2018 
 Loess Fit = -0.074  Date_of_death = Jun2018 
 Loess Fit = -0.074  Date_of_death = May2018 
 Loess Fit = -0.074  Date_of_death = May2018 
 Loess Fit = -0.074  Date_of_death = Apr2018 
 Loess Fit = -0.074  Date_of_death = Apr2018 
 Loess Fit = -0.074  Date_of_death = Mar2018 
 Loess Fit = -0.074  Date_of_death = Mar2018 
 Loess Fit = -0.074  Date_of_death = Feb2018 
 Loess Fit = -0.074  Date_of_death = Feb2018 
 Loess Fit = -0.074  Date_of_death = Dec2017 
 Loess Fit = -0.074  Date_of_death = Dec2017 
 Loess Fit = -0.074  Date_of_death = Nov2017 
 Loess Fit = -0.074  Date_of_death = Nov2017 
 Loess Fit = -0.074  Date_of_death = Oct2017 
 Loess Fit = -0.074  Date_of_death = Oct2017 
 Loess Fit = -0.074  Date_of_death = Sep2017 
 Loess Fit = -0.074  Date_of_death = Sep2017 
 Loess Fit = -0.074  Date_of_death = Aug2017 
 Loess Fit = -0.074  Date_of_death = Aug2017 
 Loess Fit = -0.074  Date_of_death = Jul2017 
 Loess Fit = -0.074  Date_of_death = Jul2017 
 Loess Fit = -0.074  Date_of_death = Jun2017 
 Loess Fit = -0.074  Date_of_death = Jun2017 
 Loess Fit = -0.074  Date_of_death = May2017 
 Loess Fit = -0.074  Date_of_death = May2017 
 Loess Fit = -0.074  Date_of_death = Apr2017 
 Loess Fit = -0.074  Date_of_death = Apr2017 
 Loess Fit = -0.074  Date_of_death = Feb2017 
 Loess Fit = -0.074  Date_of_death = Feb2017 
 Loess Fit = -0.074  Date_of_death = Jan2017 
 Loess Fit = -0.074  Date_of_death = Jan2017 
 Loess Fit = -0.074  Date_of_death = Dec2016 
 Loess Fit = -0.074  Date_of_death = Dec2016 
 Loess Fit = -0.074  Date_of_death = Nov2016 
 Loess Fit = -0.074  Date_of_death = Nov2016 
 Loess Fit = -0.074  Date_of_death = Oct2016 
 Loess Fit = -0.074  Date_of_death = Oct2016 
 Loess Fit = -0.074  Date_of_death = Sep2016 
 Loess Fit = -0.073  Date_of_death = Sep2016 
 Loess Fit = -0.073  Date_of_death = Aug2016 
 Loess Fit = -0.073  Date_of_death = Aug2016 
 Loess Fit = -0.073  Date_of_death = Jul2016 
 Loess Fit = -0.073  Date_of_death = Jul2016 
 Loess Fit = -0.073  Date_of_death = May2016 
 Loess Fit = -0.073  Date_of_death = May2016 
 Loess Fit = -0.073  Date_of_death = Apr2016 
 Loess Fit = -0.073  Date_of_death = Apr2016 
 Loess Fit = -0.073  Date_of_death = Mar2016 
 Loess Fit = -0.073  Date_of_death = Mar2016 
 Loess Fit = -0.073  Date_of_death = Feb2016 
 Loess Fit = -0.073  Date_of_death = Feb2016 
 Loess Fit = -0.073  Date_of_death = Jan2016 
 Loess Fit = -0.072  Date_of_death = Jan2016 
 Loess Fit = -0.072  Date_of_death = Dec2015 
 Loess Fit = -0.072  Date_of_death = Dec2015 
 Loess Fit = -0.072  Date_of_death = Nov2015 
 Loess Fit = -0.072  Date_of_death = Nov2015 
 Loess Fit = -0.072  Date_of_death = Oct2015 
 Loess Fit = -0.072  Date_of_death = Oct2015 
 Loess Fit = -0.072  Date_of_death = Sep2015 
 Loess Fit = -0.072  Date_of_death = Sep2015 
 Loess Fit = -0.072  Date_of_death = Jul2015 
 Loess Fit = -0.072  Date_of_death = Jul2015 
 Loess Fit = -0.072  Date_of_death = Jun2015 
 Loess Fit = -0.071  Date_of_death = Jun2015 
 Loess Fit = -0.071  Date_of_death = May2015 
 Loess Fit = -0.071  Date_of_death = May2015 
 Loess Fit = -0.071  Date_of_death = Apr2015 
 Loess Fit = -0.071  Date_of_death = Apr2015 
 Loess Fit = -0.071  Date_of_death = Mar2015 
 Loess Fit = -0.071  Date_of_death = Mar2015 
 Loess Fit = -0.071  Date_of_death = Feb2015 
 Loess Fit = -0.071  Date_of_death = Feb2015 
 Loess Fit = -0.071  Date_of_death = Jan2015 
 Loess Fit = -0.071  Date_of_death = Jan2015 
 Loess Fit = -0.071  Date_of_death = Dec2014 
 Loess Fit = -0.07  Date_of_death = Dec2014 
 Loess Fit = -0.07  Date_of_death = Nov2014 
 Loess Fit = -0.07  Date_of_death = Nov2014 
 Loess Fit = -0.07  Date_of_death = Sep2014 
 Loess Fit = -0.07  Date_of_death = Sep2014 
 Loess Fit = -0.07  Date_of_death = Aug2014 
 Loess Fit = -0.069  Date_of_death = Aug2014 
 Loess Fit = -0.069  Date_of_death = Jul2014 
 Loess Fit = -0.069  Date_of_death = Jul2014 
 Loess Fit = -0.069  Date_of_death = Jun2014 
 Loess Fit = -0.069  Date_of_death = Jun2014 
 Loess Fit = -0.069  Date_of_death = May2014 
 Loess Fit = -0.068  Date_of_death = May2014 
 Loess Fit = -0.068  Date_of_death = Apr2014 
 Loess Fit = -0.068  Date_of_death = Apr2014 
 Loess Fit = -0.068  Date_of_death = Mar2014 
 Loess Fit = -0.068  Date_of_death = Mar2014 
 Loess Fit = -0.068  Date_of_death = Feb2014 
 Loess Fit = -0.067  Date_of_death = Feb2014 
 Loess Fit = -0.067  Date_of_death = Dec2013 
 Loess Fit = -0.067  Date_of_death = Dec2013 
 Loess Fit = -0.067  Date_of_death = Nov2013 
 Loess Fit = -0.067  Date_of_death = Nov2013 
 Loess Fit = -0.067  Date_of_death = Oct2013 
 Loess Fit = -0.066  Date_of_death = Oct2013 
 Loess Fit = -0.066  Date_of_death = Sep2013 
 Loess Fit = -0.066  Date_of_death = Sep2013 
 Loess Fit = -0.066  Date_of_death = Aug2013 
 Loess Fit = -0.066  Date_of_death = Aug2013 
 Loess Fit = -0.066  Date_of_death = Jul2013 
 Loess Fit = -0.065  Date_of_death = Jul2013 
 Loess Fit = -0.065  Date_of_death = Jun2013 
 Loess Fit = -0.065  Date_of_death = Jun2013 
 Loess Fit = -0.065  Date_of_death = May2013 
 Loess Fit = -0.065  Date_of_death = May2013 
 Loess Fit = -0.065  Date_of_death = Apr2013 
 Loess Fit = -0.064  Date_of_death = Apr2013 
 Loess Fit = -0.064  Date_of_death = Feb2013 
 Loess Fit = -0.064  Date_of_death = Feb2013 
 Loess Fit = -0.064  Date_of_death = Jan2013 
 Loess Fit = -0.064  Date_of_death = Jan2013 
 Loess Fit = -0.064  Date_of_death = Dec2012 
 Loess Fit = -0.063  Date_of_death = Dec2012 
 Loess Fit = -0.063  Date_of_death = Nov2012 
 Loess Fit = -0.063  Date_of_death = Nov2012 
 Loess Fit = -0.063  Date_of_death = Oct2012 
 Loess Fit = -0.063  Date_of_death = Oct2012 
 Loess Fit = -0.063  Date_of_death = Sep2012 
 Loess Fit = -0.062  Date_of_death = Sep2012 
 Loess Fit = -0.062  Date_of_death = Aug2012 
 Loess Fit = -0.062  Date_of_death = Aug2012 
 Loess Fit = -0.062  Date_of_death = Jul2012 
 Loess Fit = -0.062  Date_of_death = Jul2012 
 Loess Fit = -0.062  Date_of_death = Jun2012 
 Loess Fit = -0.063  Date_of_death = Jun2012 
 Loess Fit = -0.063  Date_of_death = Apr2012 
 Loess Fit = -0.063  Date_of_death = Apr2012 
 Loess Fit = -0.063  Date_of_death = Mar2012 
 Loess Fit = -0.063  Date_of_death = Mar2012 
 Loess Fit = -0.063  Date_of_death = Feb2012 
 Loess Fit = -0.063  Date_of_death = Feb2012 
 Loess Fit = -0.063  Date_of_death = Jan2012 
 Loess Fit = -0.063  Date_of_death = Jan2012 
 Loess Fit = -0.063  Date_of_death = Dec2011 
 Loess Fit = -0.063  Date_of_death = Dec2011 
 Loess Fit = -0.063  Date_of_death = Nov2011 
 Loess Fit = -0.063  Date_of_death = Nov2011 
 Loess Fit = -0.063  Date_of_death = Oct2011 
 Loess Fit = -0.063  Date_of_death = Oct2011 
 Loess Fit = -0.063  Date_of_death = Sep2011 
 Loess Fit = -0.064  Date_of_death = Sep2011 
 Loess Fit = -0.064  Date_of_death = Aug2011 
 Loess Fit = -0.064  Date_of_death = Aug2011 
 Loess Fit = -0.064  Date_of_death = Jun2011 
 Loess Fit = -0.064  Date_of_death = Jun2011 
 Loess Fit = -0.064  Date_of_death = May2011 
 Loess Fit = -0.064  Date_of_death = May2011 
 Loess Fit = -0.064  Date_of_death = Apr2011 
 Loess Fit = -0.064  Date_of_death = Apr2011 
 Loess Fit = -0.064  Date_of_death = Mar2011 
 Loess Fit = -0.064  Date_of_death = Mar2011 
 Loess Fit = -0.064  Date_of_death = Feb2011 
 Loess Fit = -0.064  Date_of_death = Feb2011 
 Loess Fit = -0.064  Date_of_death = Jan2011 
 Loess Fit = -0.065  Date_of_death = Jan2011 
 Loess Fit = -0.065  Date_of_death = Dec2010 
 Loess Fit = -0.065  Date_of_death = Dec2010 
 Loess Fit = -0.065  Date_of_death = Nov2010 
 Loess Fit = -0.065  Date_of_death = Nov2010 
 Loess Fit = -0.065  Date_of_death = Sep2010 
 Loess Fit = -0.065  Date_of_death = Sep2010 
 Loess Fit = -0.065  Date_of_death = Aug2010 
 Loess Fit = -0.065  Date_of_death = Aug2010 
 Loess Fit = -0.065  Date_of_death = Jul2010 
 Loess Fit = -0.065  Date_of_death = Jul2010 
 Loess Fit = -0.065  Date_of_death = Jun2010 
 Loess Fit = -0.065  Date_of_death = Jun2010 
 Loess Fit = -0.065  Date_of_death = May2010 
 Loess Fit = -0.065  Date_of_death = May2010 
 Loess Fit = -0.065  Date_of_death = Apr2010 
 Loess Fit = -0.065  Date_of_death = Apr2010 
 Loess Fit = -0.065  Date_of_death = Mar2010 
 Loess Fit = -0.063  Date_of_death = Mar2010 
 Loess Fit = -0.063  Date_of_death = Feb2010 
 Loess Fit = -0.062  Date_of_death = Feb2010 
 Loess Fit = -0.062  Date_of_death = Jan2010 
 Loess Fit = -0.061  Date_of_death = Jan2010 
 Loess Fit = -0.061  Date_of_death = Nov2009 
 Loess Fit = -0.059  Date_of_death = Nov2009 
 Loess Fit = -0.059  Date_of_death = Oct2009 
 Loess Fit = -0.058  Date_of_death = Oct2009 
 Loess Fit = -0.058  Date_of_death = Sep2009 
 Loess Fit = -0.057  Date_of_death = Sep2009 
 Loess Fit = -0.057  Date_of_death = Aug2009 
 Loess Fit = -0.055  Date_of_death = Aug2009 
 Loess Fit = -0.055  Date_of_death = Jul2009 
 Loess Fit = -0.054  Date_of_death = Jul2009 
 Loess Fit = -0.054  Date_of_death = Jun2009 
 Loess Fit = -0.052  Date_of_death = Jun2009 
 Loess Fit = -0.052  Date_of_death = May2009 
 Loess Fit = -0.051  Date_of_death = May2009 
 Loess Fit = -0.051  Date_of_death = Apr2009 
 Loess Fit = -0.05  Date_of_death = Apr2009 
 Loess Fit = -0.05  Date_of_death = Mar2009 
 Loess Fit = -0.048  Date_of_death = Mar2009 
 Loess Fit = -0.048  Date_of_death = Jan2009 
 Loess Fit = -0.047  Date_of_death = Jan2009 
 Loess Fit = -0.047  Date_of_death = Dec2008 
 Loess Fit = -0.045  Date_of_death = Dec2008 
 Loess Fit = -0.045  Date_of_death = Nov2008 
 Loess Fit = -0.044  Date_of_death = Nov2008 
 Loess Fit = -0.044  Date_of_death = Oct2008 
 Loess Fit = -0.043  Date_of_death = Oct2008 
 Loess Fit = -0.043  Date_of_death = Sep2008 
 Loess Fit = -0.041  Date_of_death = Sep2008 
 Loess Fit = -0.041  Date_of_death = Aug2008 
 Loess Fit = -0.04  Date_of_death = Aug2008 
 Loess Fit = -0.04  Date_of_death = Jul2008 
 Loess Fit = -0.039  Date_of_death = Jul2008 
 Loess Fit = -0.039  Date_of_death = Jun2008 
 Loess Fit = -0.037  Date_of_death = Jun2008 
 Loess Fit = -0.037  Date_of_death = May2008 
 Loess Fit = -0.036  Date_of_death = May2008 
 Loess Fit = -0.036  Date_of_death = Mar2008 
 Loess Fit = -0.034  Date_of_death = Mar2008 
 Loess Fit = -0.034  Date_of_death = Feb2008 
 Loess Fit = -0.033  Date_of_death = Feb2008 
 Loess Fit = -0.033  Date_of_death = Jan2008 
 Loess Fit = -0.032  Date_of_death = Jan2008 
 Loess Fit = -0.032  Date_of_death = Dec2007 
 Loess Fit = -0.03  Date_of_death = Dec2007 
 Loess Fit = -0.03  Date_of_death = Nov2007 
 Loess Fit = -0.029  Date_of_death = Nov2007 
 Loess Fit = -0.029  Date_of_death = Oct2007 
 Loess Fit = -0.028  Date_of_death = Oct2007 
 Loess Fit = -0.028  Date_of_death = Sep2007 
 Loess Fit = -0.027  Date_of_death = Sep2007 
 Loess Fit = -0.027  Date_of_death = Aug2007 
 Loess Fit = -0.026  Date_of_death = Aug2007 
 Loess Fit = -0.026  Date_of_death = Jul2007 
 Loess Fit = -0.025  Date_of_death = Jul2007 
 Loess Fit = -0.025  Date_of_death = May2007 
 Loess Fit = -0.024  Date_of_death = May2007 
 Loess Fit = -0.024  Date_of_death = Apr2007 
 Loess Fit = -0.023  Date_of_death = Apr2007 
 Loess Fit = -0.023  Date_of_death = Mar2007 
 Loess Fit = -0.022  Date_of_death = Mar2007 
 Loess Fit = -0.022  Date_of_death = Feb2007 
 Loess Fit = -0.021  Date_of_death = Feb2007 
 Loess Fit = -0.021  Date_of_death = Jan2007 
 Loess Fit = -0.02  Date_of_death = Jan2007 
 Loess Fit = -0.02  Date_of_death = Dec2006 
 Loess Fit = -0.019  Date_of_death = Dec2006 
 Loess Fit = -0.019  Date_of_death = Nov2006 
 Loess Fit = -0.018  Date_of_death = Nov2006 
 Loess Fit = -0.018  Date_of_death = Oct2006 
 Loess Fit = -0.016  Date_of_death = Oct2006 
 Loess Fit = -0.016  Date_of_death = Aug2006 
 Loess Fit = -0.015  Date_of_death = Aug2006 
 Loess Fit = -0.015  Date_of_death = Jul2006 
 Loess Fit = -0.014  Date_of_death = Jul2006 
 Loess Fit = -0.014  Date_of_death = Jun2006 
 Loess Fit = -0.013  Date_of_death = Jun2006 
 Loess Fit = -0.013  Date_of_death = May2006 
 Loess Fit = -0.012  Date_of_death = May2006 
 Loess Fit = -0.012  Date_of_death = Apr2006 
 Loess Fit = -0.011  Date_of_death = Apr2006 
 Loess Fit = -0.011  Date_of_death = Mar2006 
 Loess Fit = -0.01  Date_of_death = Mar2006 
 Loess Fit = -0.01  Date_of_death = Feb2006 
 Loess Fit = -0.009  Date_of_death = Feb2006 
 Loess Fit = -0.009  Date_of_death = Jan2006 
 Loess Fit = -0.008  Date_of_death = Jan2006 
 Loess Fit = -0.008  Date_of_death = Dec2005 
 Loess Fit = -0.007  Date_of_death = Dec2005 
 Loess Fit = -0.007  Date_of_death = Oct2005 
 Loess Fit = -0.006  Date_of_death = Oct2005 
 Loess Fit = -0.006  Date_of_death = Sep2005 
 Loess Fit = -0.005  Date_of_death = Sep2005 
 Loess Fit = -0.005  Date_of_death = Aug2005 
 Loess Fit = -0.004  Date_of_death = Aug2005 
 Loess Fit = -0.004  Date_of_death = Jul2005 
 Loess Fit = -0.002  Date_of_death = Jul2005 
 Loess Fit = -0.002  Date_of_death = Jun2005 
 Loess Fit = -0.001  Date_of_death = Jun2005 
 Loess Fit = -0.001  Date_of_death = May2005 
 Loess Fit = -11E-5  Date_of_death = May2005 
 Loess Fit = -11E-5  Date_of_death = Apr2005 
 Loess Fit = 0.0011  Date_of_death = Apr2005 
 Loess Fit = 0.0011  Date_of_death = Mar2005 
 Loess Fit = 0.0023  Date_of_death = Mar2005 
 Loess Fit = 0.0023  Date_of_death = Jan2005 
 Loess Fit = 0.0034  Date_of_death = Jan2005 
 Loess Fit = 0.0034  Date_of_death = Dec2004 
 Loess Fit = 0.0046  Date_of_death = Dec2004 
 Loess Fit = 0.0046  Date_of_death = Nov2004 
 Loess Fit = 0.0058  Date_of_death = Nov2004 
 Loess Fit = 0.0058  Date_of_death = Oct2004 
 Loess Fit = 0.007  Date_of_death = Oct2004 
 Loess Fit = 0.007  Date_of_death = Sep2004 
 Loess Fit = 0.0082  Date_of_death = Sep2004 
 Loess Fit = 0.0082  Date_of_death = Aug2004 
 Loess Fit = 0.0094  Date_of_death = Aug2004 
 Loess Fit = 0.0094  Date_of_death = Jul2004 
 Loess Fit = 0.0106  Date_of_death = Jul2004 
 Loess Fit = 0.0106  Date_of_death = Jun2004 
 Loess Fit = 0.0118  Date_of_death = Jun2004 
 Loess Fit = 0.0118  Date_of_death = May2004 
 Loess Fit = 0.0129  Date_of_death = May2004 
 Loess Fit = 0.0129  Date_of_death = Mar2004 
 Loess Fit = 0.0141  Date_of_death = Mar2004 
 Loess Fit = 0.0141  Date_of_death = Feb2004 
 Loess Fit = 0.0153  Date_of_death = Feb2004 
 Loess Fit = 0.0153  Date_of_death = Jan2004 
 Loess Fit = 0.0165  Date_of_death = Jan2004 
 Loess Fit = 0.0165  Date_of_death = Dec2003 
 Loess Fit = 0.0177  Date_of_death = Dec2003 
 Loess Fit = 0.0177  Date_of_death = Nov2003 
 Loess Fit = 0.0189  Date_of_death = Nov2003 
 Loess Fit = 0.0189  Date_of_death = Oct2003 
 Loess Fit = 0.0201  Date_of_death = Oct2003 
 Loess Fit = 0.0201  Date_of_death = Sep2003 
 Loess Fit = 0.0212  Date_of_death = Sep2003 
 Loess Fit = 0.0212  Date_of_death = Aug2003 
 Loess Fit = 0.0224  Date_of_death = Aug2003 
 Loess Fit = 0.0224  Date_of_death = Jul2003 
 Loess Fit = 0.0236  Date_of_death = Jul2003 
 Loess Fit = 0.0236  Date_of_death = May2003 
 Loess Fit = 0.0248  Date_of_death = May2003 
 Loess Fit = 0.0248  Date_of_death = Apr2003 
 Loess Fit = 0.026  Date_of_death = Apr2003 
 Loess Fit = 0.026  Date_of_death = Mar2003 
 Loess Fit = 0.0273  Date_of_death = Mar2003 
 Loess Fit = 0.0273  Date_of_death = Feb2003 
 Loess Fit = 0.0285  Date_of_death = Feb2003 
 Loess Fit = 0.0285  Date_of_death = Jan2003 
 Loess Fit = 0.0298  Date_of_death = Jan2003 
 Loess Fit = 0.0298  Date_of_death = Dec2002 
 Loess Fit = 0.0311  Date_of_death = Dec2002 
 Loess Fit = 0.0311  Date_of_death = Nov2002 
 Loess Fit = 0.0323  Date_of_death = Nov2002 
 Loess Fit = 0.0323  Date_of_death = Oct2002 
 Loess Fit = 0.0336  Date_of_death = Oct2002 
 Loess Fit = 0.0336  Date_of_death = Aug2002 
 Loess Fit = 0.0349  Date_of_death = Aug2002 
 Loess Fit = 0.0349  Date_of_death = Jul2002 
 Loess Fit = 0.0362  Date_of_death = Jul2002 
 Loess Fit = 0.0362  Date_of_death = Jun2002 
 Loess Fit = 0.0374  Date_of_death = Jun2002 
 Loess Fit = 0.0374  Date_of_death = May2002 
 Loess Fit = 0.0387  Date_of_death = May2002 
 Loess Fit = 0.0387  Date_of_death = Apr2002 
 Loess Fit = 0.04  Date_of_death = Apr2002 
 Loess Fit = 0.04  Date_of_death = Mar2002 
 Loess Fit = 0.0412  Date_of_death = Mar2002 
 Loess Fit = 0.0412  Date_of_death = Feb2002 
 Loess Fit = 0.0425  Date_of_death = Feb2002 
 Loess Fit = 0.0425  Date_of_death = Jan2002 
 Loess Fit = 0.0438  Date_of_death = Jan2002 
 Loess Fit = 0.0438  Date_of_death = Dec2001 
 Loess Fit = 0.045  Date_of_death = Dec2001 
 Loess Fit = 0.045  Date_of_death = Oct2001 
 Loess Fit = 0.0463  Date_of_death = Oct2001 
 Loess Fit = 0.0463  Date_of_death = Sep2001 
 Loess Fit = 0.0476  Date_of_death = Sep2001 
 Loess Fit = 0.0476  Date_of_death = Aug2001 
 Loess Fit = 0.0488  Date_of_death = Aug2001 
 Loess Fit = 0.0488  Date_of_death = Jul2001 
 Loess Fit = 0.0501  Date_of_death = Jul2001 
 Loess Fit = 0.0501  Date_of_death = Jun2001 
 Loess Fit = 0.0514  Date_of_death = Jun2001 
 Loess Fit = 0.0514  Date_of_death = May2001 
 Loess Fit = 0.0527  Date_of_death = May2001 
 Loess Fit = 0.0527  Date_of_death = Apr2001 
 Loess Fit = 0.0539  Date_of_death = Apr2001 
 Loess Fit = 0.0539  Date_of_death = Mar2001 
 Loess Fit = 0.0552  Date_of_death = Mar2001 
 Loess Fit = 0.0552  Date_of_death = Feb2001 
 Loess Fit = 0.0565  Date_of_death = Sep2019 
 Prediction Error = -1.4  Date_of_death = Aug2019 
 Prediction Error = -0.724  Date_of_death = Jul2019 
 Prediction Error = -1.728  Date_of_death = Jun2019 
 Prediction Error = 0.9366  Date_of_death = May2019 
 Prediction Error = -1.656  Date_of_death = Apr2019 
 Prediction Error = -0.935  Date_of_death = Mar2019 
 Prediction Error = 1.494  Date_of_death = Feb2019 
 Prediction Error = 1.0672  Date_of_death = Jan2019 
 Prediction Error = -1.771  Date_of_death = Dec2018 
 Prediction Error = 0.441  Date_of_death = Nov2018 
 Prediction Error = 0.9966  Date_of_death = Oct2018 
 Prediction Error = 1.2185  Date_of_death = Sep2018 
 Prediction Error = -1.503  Date_of_death = Aug2018 
 Prediction Error = 1.3926  Date_of_death = Jul2018 
 Prediction Error = -0.797  Date_of_death = Jun2018 
 Prediction Error = -2.192  Date_of_death = May2018 
 Prediction Error = 1.4642  Date_of_death = Apr2018 
 Prediction Error = 1.1185  Date_of_death = Mar2018 
 Prediction Error = -0.56  Date_of_death = Feb2018 
 Prediction Error = 1.1623  Date_of_death = Jan2018 
 Prediction Error = -0.84  Date_of_death = Dec2017 
 Prediction Error = 0.4714  Date_of_death = Nov2017 
 Prediction Error = 1.0581  Date_of_death = Oct2017 
 Prediction Error = -1.91  Date_of_death = Sep2017 
 Prediction Error = 1.6104  Date_of_death = Aug2017 
 Prediction Error = -0.657  Date_of_death = Jul2017 
 Prediction Error = -1.91  Date_of_death = Jun2017 
 Prediction Error = 0.8699  Date_of_death = May2017 
 Prediction Error = -1.665  Date_of_death = Apr2017 
 Prediction Error = 1.2179  Date_of_death = Mar2017 
 Prediction Error = 1.53  Date_of_death = Feb2017 
 Prediction Error = 0.1697  Date_of_death = Jan2017 
 Prediction Error = 0.1668  Date_of_death = Dec2016 
 Prediction Error = 0.4989  Date_of_death = Nov2016 
 Prediction Error = -2.081  Date_of_death = Oct2016 
 Prediction Error = 1.1762  Date_of_death = Sep2016 
 Prediction Error = 1.7329  Date_of_death = Aug2016 
 Prediction Error = 0.3722  Date_of_death = Jul2016 
 Prediction Error = 1.1655  Date_of_death = Jun2016 
 Prediction Error = -1.213  Date_of_death = May2016 
 Prediction Error = -1.795  Date_of_death = Apr2016 
 Prediction Error = -1.919  Date_of_death = Mar2016 
 Prediction Error = 0.5831  Date_of_death = Feb2016 
 Prediction Error = 0.1779  Date_of_death = Jan2016 
 Prediction Error = -1.986  Date_of_death = Dec2015 
 Prediction Error = 0.5672  Date_of_death = Nov2015 
 Prediction Error = 0.9808  Date_of_death = Oct2015 
 Prediction Error = 1.252  Date_of_death = Sep2015 
 Prediction Error = -1.381  Date_of_death = Aug2015 
 Prediction Error = 1.4834  Date_of_death = Jul2015 
 Prediction Error = -0.902  Date_of_death = Jun2015 
 Prediction Error = 0.8697  Date_of_death = May2015 
 Prediction Error = -1.932  Date_of_death = Apr2015 
 Prediction Error = 1.1759  Date_of_death = Mar2015 
 Prediction Error = 0.6219  Date_of_death = Feb2015 
 Prediction Error = 1.2831  Date_of_death = Jan2015 
 Prediction Error = 1.0877  Date_of_death = Dec2014 
 Prediction Error = 0.6015  Date_of_death = Nov2014 
 Prediction Error = 1.0515  Date_of_death = Oct2014 
 Prediction Error = 1.3613  Date_of_death = Sep2014 
 Prediction Error = 1.7379  Date_of_death = Aug2014 
 Prediction Error = -0.565  Date_of_death = Jul2014 
 Prediction Error = 1.1883  Date_of_death = Jun2014 
 Prediction Error = -1.22  Date_of_death = May2014 
 Prediction Error = -2.097  Date_of_death = Apr2014 
 Prediction Error = -1.97  Date_of_death = Mar2014 
 Prediction Error = 1.7627  Date_of_death = Feb2014 
 Prediction Error = -1.881  Date_of_death = Jan2014 
 Prediction Error = -2.077  Date_of_death = Dec2013 
 Prediction Error = 0.6604  Date_of_death = Nov2013 
 Prediction Error = 1.1329  Date_of_death = Oct2013 
 Prediction Error = -1.804  Date_of_death = Sep2013 
 Prediction Error = 1.9074  Date_of_death = Aug2013 
 Prediction Error = -1.724  Date_of_death = Jul2013 
 Prediction Error = -1.956  Date_of_death = Jun2013 
 Prediction Error = -2.393  Date_of_death = May2013 
 Prediction Error = 1.0108  Date_of_death = Apr2013 
 Prediction Error = -2.164  Date_of_death = Mar2013 
 Prediction Error = -0.234  Date_of_death = Feb2013 
 Prediction Error = 1.2346  Date_of_death = Jan2013 
 Prediction Error = -0.095  Date_of_death = Dec2012 
 Prediction Error = 0.7166  Date_of_death = Nov2012 
 Prediction Error = 1.2481  Date_of_death = Oct2012 
 Prediction Error = 1.2916  Date_of_death = Sep2012 
 Prediction Error = -1.193  Date_of_death = Aug2012 
 Prediction Error = -1.869  Date_of_death = Jul2012 
 Prediction Error = -1.022  Date_of_death = Jun2012 
 Prediction Error = 0.664  Date_of_death = May2012 
 Prediction Error = -2.168  Date_of_death = Apr2012 
 Prediction Error = 0.9285  Date_of_death = Mar2012 
 Prediction Error = 1.9221  Date_of_death = Feb2012 
 Prediction Error = 1.3422  Date_of_death = Jan2012 
 Prediction Error = -0.116  Date_of_death = Dec2011 
 Prediction Error = -2.523  Date_of_death = Nov2011 
 Prediction Error = -1.925  Date_of_death = Oct2011 
 Prediction Error = 1.4402  Date_of_death = Sep2011 
 Prediction Error = -1.31  Date_of_death = Aug2011 
 Prediction Error = -2.047  Date_of_death = Jul2011 
 Prediction Error = -0.018  Date_of_death = Jun2011 
 Prediction Error = 0.7447  Date_of_death = May2011 
 Prediction Error = 0.9071  Date_of_death = Apr2011 
 Prediction Error = 1.0072  Date_of_death = Mar2011 
 Prediction Error = -1.201  Date_of_death = Feb2011 
 Prediction Error = -0.718  Date_of_death = Jan2011 
 Prediction Error = -1.222  Date_of_death = Dec2010 
 Prediction Error = -0.565  Date_of_death = Nov2010 
 Prediction Error = 1.1877  Date_of_death = Oct2010 
 Prediction Error = 1.6009  Date_of_death = Sep2010 
 Prediction Error = 1.8801  Date_of_death = Aug2010 
 Prediction Error = -2.281  Date_of_death = Jul2010 
 Prediction Error = 1.097  Date_of_death = Jun2010 
 Prediction Error = 0.8168  Date_of_death = May2010 
 Prediction Error = 0.9978  Date_of_death = Apr2010 
 Prediction Error = -2.21  Date_of_death = Mar2010 
 Prediction Error = -1.319  Date_of_death = Feb2010 
 Prediction Error = -0.785  Date_of_death = Jan2010 
 Prediction Error = 0.8783  Date_of_death = Dec2009 
 Prediction Error = 0.4781  Date_of_death = Nov2009 
 Prediction Error = 1.3205  Date_of_death = Oct2009 
 Prediction Error = 1.7787  Date_of_death = Sep2009 
 Prediction Error = 0.9903  Date_of_death = Aug2009 
 Prediction Error = 0.7954  Date_of_death = Jul2009 
 Prediction Error = 1.2215  Date_of_death = Jun2009 
 Prediction Error = -2.456  Date_of_death = May2009 
 Prediction Error = -2.222  Date_of_death = Apr2009 
 Prediction Error = 0.9009  Date_of_death = Mar2009 
 Prediction Error = -0.357  Date_of_death = Feb2009 
 Prediction Error = -2.003  Date_of_death = Jan2009 
 Prediction Error = 1.0013  Date_of_death = Dec2008 
 Prediction Error = -2.869  Date_of_death = Nov2008 
 Prediction Error = 1.4991  Date_of_death = Oct2008 
 Prediction Error = 2.006  Date_of_death = Sep2008 
 Prediction Error = -0.022  Date_of_death = Aug2008 
 Prediction Error = -2.505  Date_of_death = Jul2008 
 Prediction Error = -1.995  Date_of_death = Jun2008 
 Prediction Error = -1.633  Date_of_death = May2008 
 Prediction Error = -1.383  Date_of_death = Apr2008 
 Prediction Error = 1.0282  Date_of_death = Mar2008 
 Prediction Error = 1.8678  Date_of_death = Feb2008 
 Prediction Error = 1.1192  Date_of_death = Jan2008 
 Prediction Error = 1.1603  Date_of_death = Dec2007 
 Prediction Error = 0.1407  Date_of_death = Nov2007 
 Prediction Error = 1.7157  Date_of_death = Oct2007 
 Prediction Error = -1.149  Date_of_death = Sep2007 
 Prediction Error = -0.011  Date_of_death = Aug2007 
 Prediction Error = -0.572  Date_of_death = Jul2007 
 Prediction Error = -2.286  Date_of_death = Jun2007 
 Prediction Error = 0.436  Date_of_death = May2007 
 Prediction Error = 0.7039  Date_of_death = Apr2007 
 Prediction Error = -2.279  Date_of_death = Mar2007 
 Prediction Error = 2.1517  Date_of_death = Feb2007 
 Prediction Error = -2.176  Date_of_death = Jan2007 
 Prediction Error = -0.979  Date_of_death = Dec2006 
 Prediction Error = 0.1613  Date_of_death = Nov2006 
 Prediction Error = 2.0173  Date_of_death = Oct2006 
 Prediction Error = 2.1661  Date_of_death = Sep2006 
 Prediction Error = 2.3299  Date_of_death = Aug2006 
 Prediction Error = 0.5045  Date_of_death = Jul2006 
 Prediction Error = -1.513  Date_of_death = Jun2006 
 Prediction Error = 0.5132  Date_of_death = May2006 
 Prediction Error = -0.34  Date_of_death = Apr2006 
 Prediction Error = -1.508  Date_of_death = Mar2006 
 Prediction Error = -0.983  Date_of_death = Feb2006 
 Prediction Error = 0.9737  Date_of_death = Jan2006 
 Prediction Error = -2.39  Date_of_death = Dec2005 
 Prediction Error = 0.1934  Date_of_death = Nov2005 
 Prediction Error = 0.0128  Date_of_death = Oct2005 
 Prediction Error = 0.1921  Date_of_death = Sep2005 
 Prediction Error = 0.3956  Date_of_death = Aug2005 
 Prediction Error = 0.6127  Date_of_death = Jul2005 
 Prediction Error = 0.5846  Date_of_death = Jun2005 
 Prediction Error = -2.999  Date_of_death = May2005 
 Prediction Error = -1.603  Date_of_death = Apr2005 
 Prediction Error = 0.6003  Date_of_death = Mar2005 
 Prediction Error = -1.19  Date_of_death = Feb2005 
 Prediction Error = 1.1847  Date_of_death = Jan2005 
 Prediction Error = 0.7624  Date_of_death = Dec2004 
 Prediction Error = 0.2411  Date_of_death = Nov2004 
 Prediction Error = -1.24  Date_of_death = Oct2004 
 Prediction Error = 2.7525  Date_of_death = Sep2004 
 Prediction Error = 2.9992  Date_of_death = Aug2004 
 Prediction Error = 0.7611  Date_of_death = Jul2004 
 Prediction Error = 0.7414  Date_of_death = Jun2004 
 Prediction Error = 0.0045  Date_of_death = May2004 
 Prediction Error = 0.496  Date_of_death = Apr2004 
 Prediction Error = 0.7561  Date_of_death = Mar2004 
 Prediction Error = -1.499  Date_of_death = Feb2004 
 Prediction Error = 1.4878  Date_of_death = Jan2004 
 Prediction Error = -2.996  Date_of_death = Dec2003 
 Prediction Error = 0.3306  Date_of_death = Nov2003 
 Prediction Error = -0.329  Date_of_death = Oct2003 
 Prediction Error = 0.9989  Date_of_death = Sep2003 
 Prediction Error = -0.005  Date_of_death = Aug2003 
 Prediction Error = -2.997  Date_of_death = Jul2003 
 Prediction Error = 0.9964  Date_of_death = Jun2003 
 Prediction Error = 0.0031  Date_of_death = May2003 
 Prediction Error = 0.6613  Date_of_death = Apr2003 
 Prediction Error = -2.998  Date_of_death = Mar2003 
 Prediction Error = 2.009  Date_of_death = Feb2003 
 Prediction Error = 1.9937  Date_of_death = Jan2003 
 Prediction Error = 0.0023  Date_of_death = Dec2002 
 Prediction Error = 0.4977  Date_of_death = Nov2002 
 Prediction Error = -0.498  Date_of_death = Oct2002 
 Prediction Error = -0.001  Date_of_death = Sep2002 
 Prediction Error = 3.3E-6  Date_of_death = Aug2002 
 Prediction Error = 0.0027  Date_of_death = Jul2002 
 Prediction Error = 1.498  Date_of_death = Jun2002 
 Prediction Error = 0.0015  Date_of_death = May2002 
 Prediction Error = 1.0014  Date_of_death = Apr2002 
 Prediction Error = -0.003  Date_of_death = Mar2002 
 Prediction Error = -1.495  Date_of_death = Feb2002 
 Prediction Error = 2.999  Date_of_death = Jan2002 
 Prediction Error = .00068  Date_of_death = Dec2001 
 Prediction Error = 0.998  Date_of_death = Nov2001 
 Prediction Error = -3  Date_of_death = Oct2001 
 Prediction Error = 1.6E-9  Date_of_death = Sep2001 
 Prediction Error = 1.4E-6  Date_of_death = Aug2001 
 Prediction Error = 0.002  Date_of_death = Jul2001 
 Prediction Error = 3  Date_of_death = Jun2001 
 Prediction Error = -0.001  Date_of_death = May2001 
 Prediction Error = -2  Date_of_death = Apr2001 
 Prediction Error = -0.002  Date_of_death = Mar2001 
 Prediction Error = -3  Date_of_death = Feb2001 
 Prediction Error = -4E-16  Date_of_death = Sep2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Aug2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Aug2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Jul2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Jul2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Jun2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Jun2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = May2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = May2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Apr2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Apr2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Mar2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Mar2019 
 2*STD = 2.7277 
 -2*STD = -2.728  Date_of_death = Feb2019 
 2*STD = 2.7278 
 -2*STD = -2.728  Date_of_death = Feb2019 
 2*STD = 2.7278 
 -2*STD = -2.728  Date_of_death = Jan2019 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jan2019 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Dec2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Dec2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Nov2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Nov2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Oct2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Oct2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Sep2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Sep2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Aug2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Aug2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jul2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jul2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jun2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jun2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = May2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = May2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Apr2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Apr2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Mar2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Mar2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Feb2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Feb2018 
 2*STD = 2.7306 
 -2*STD = -2.731  Date_of_death = Jan2018 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jan2018 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Dec2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Dec2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Nov2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Nov2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Oct2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Oct2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Sep2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Sep2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Aug2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Aug2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jul2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jul2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jun2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jun2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = May2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = May2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Apr2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Apr2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Mar2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Mar2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Feb2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Feb2017 
 2*STD = 2.7338 
 -2*STD = -2.734  Date_of_death = Jan2017 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jan2017 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Dec2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Dec2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Nov2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Nov2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Oct2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Oct2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Sep2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Sep2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Aug2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Aug2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jul2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jul2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jun2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jun2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = May2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = May2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Apr2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Apr2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Mar2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Mar2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Feb2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Feb2016 
 2*STD = 2.7376 
 -2*STD = -2.738  Date_of_death = Jan2016 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jan2016 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Dec2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Dec2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Nov2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Nov2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Oct2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Oct2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Sep2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Sep2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Aug2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Aug2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jul2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jul2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jun2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jun2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = May2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = May2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Apr2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Apr2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Mar2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Mar2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Feb2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Feb2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jan2015 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jan2015 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Dec2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Dec2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Nov2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Nov2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Oct2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Oct2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Sep2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Sep2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Aug2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Aug2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jul2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jul2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jun2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jun2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = May2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = May2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Apr2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Apr2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Mar2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Mar2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Feb2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Feb2014 
 2*STD = 2.747 
 -2*STD = -2.747  Date_of_death = Jan2014 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jan2014 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Dec2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Dec2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Nov2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Nov2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Oct2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Oct2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Sep2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Sep2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Aug2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Aug2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jul2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jul2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jun2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jun2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = May2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = May2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Apr2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Apr2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Mar2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Mar2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Feb2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Feb2013 
 2*STD = 2.7529 
 -2*STD = -2.753  Date_of_death = Jan2013 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jan2013 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Dec2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Dec2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Nov2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Nov2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Oct2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Oct2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Sep2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Sep2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Aug2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Aug2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jul2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jul2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jun2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jun2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = May2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = May2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Apr2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Apr2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Mar2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Mar2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Feb2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Feb2012 
 2*STD = 2.76 
 -2*STD = -2.76  Date_of_death = Jan2012 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jan2012 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Dec2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Dec2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Nov2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Nov2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Oct2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Oct2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Sep2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Sep2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Aug2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Aug2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jul2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jul2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jun2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jun2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = May2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = May2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Apr2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Apr2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Mar2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Mar2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Feb2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Feb2011 
 2*STD = 2.7685 
 -2*STD = -2.769  Date_of_death = Jan2011 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jan2011 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Dec2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Dec2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Nov2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Nov2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Oct2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Oct2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Sep2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Sep2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Aug2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Aug2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jul2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jul2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jun2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jun2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = May2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = May2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Apr2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Apr2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Mar2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Mar2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Feb2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Feb2010 
 2*STD = 2.7789 
 -2*STD = -2.779  Date_of_death = Jan2010 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jan2010 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Dec2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Dec2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Nov2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Nov2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Oct2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Oct2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Sep2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Sep2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Aug2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Aug2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jul2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jul2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jun2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jun2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = May2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = May2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Apr2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Apr2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Mar2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Mar2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Feb2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Feb2009 
 2*STD = 2.7917 
 -2*STD = -2.792  Date_of_death = Jan2009 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jan2009 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Dec2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Dec2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Nov2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Nov2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Oct2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Oct2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Sep2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Sep2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Aug2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Aug2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jul2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jul2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jun2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jun2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = May2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = May2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Apr2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Apr2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Mar2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Mar2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Feb2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Feb2008 
 2*STD = 2.8079 
 -2*STD = -2.808  Date_of_death = Jan2008 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jan2008 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Dec2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Dec2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Nov2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Nov2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Oct2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Oct2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Sep2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Sep2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Aug2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Aug2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jul2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jul2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jun2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jun2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = May2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = May2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Apr2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Apr2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Mar2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Mar2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Feb2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Feb2007 
 2*STD = 2.8289 
 -2*STD = -2.829  Date_of_death = Jan2007 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jan2007 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Dec2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Dec2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Nov2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Nov2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Oct2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Oct2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Sep2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Sep2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Aug2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Aug2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jul2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jul2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jun2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jun2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = May2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = May2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Apr2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Apr2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Mar2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Mar2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Feb2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Feb2006 
 2*STD = 2.857 
 -2*STD = -2.857  Date_of_death = Jan2006 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jan2006 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Dec2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Dec2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Nov2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Nov2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Oct2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Oct2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Sep2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Sep2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Aug2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Aug2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jul2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jul2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jun2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jun2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = May2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = May2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Apr2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Apr2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Mar2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Mar2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Feb2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Feb2005 
 2*STD = 2.8962 
 -2*STD = -2.896  Date_of_death = Jan2005 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jan2005 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Dec2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Dec2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Nov2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Nov2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Oct2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Oct2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Sep2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Sep2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Aug2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Aug2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jul2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jul2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jun2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jun2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = May2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = May2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Apr2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Apr2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Mar2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Mar2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Feb2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Feb2004 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jan2004 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jan2004 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Dec2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Dec2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Nov2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Nov2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Oct2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Oct2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Sep2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Sep2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Aug2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Aug2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jul2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jul2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jun2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jun2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = May2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = May2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Apr2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Apr2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Mar2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Mar2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Feb2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Feb2003 
 2*STD = 3.0502 
 -2*STD = -3.05  Date_of_death = Jan2003 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jan2003 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Dec2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Dec2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Nov2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Nov2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Oct2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Oct2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Sep2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Sep2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Aug2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Aug2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jul2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jul2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jun2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jun2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = May2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = May2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Apr2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Apr2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Mar2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Mar2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Feb2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Feb2002 
 2*STD = 3.2337 
 -2*STD = -3.234  Date_of_death = Jan2002 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Jan2002 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Dec2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Dec2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Nov2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Nov2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Oct2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Oct2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Sep2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Sep2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Aug2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Aug2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Jul2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Jul2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Jun2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Jun2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = May2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = May2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Apr2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Apr2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Mar2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Mar2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Date_of_death = Feb2001 
 2*STD = 3.7323 
 -2*STD = -3.732  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 OCT2019 2.867325 1.36387 0.194194 5.540456
238 NOV2019 3.067848 1.36391 0.394635 5.741061
239 DEC2019 3.600698 1.36391 0.927485 6.273910
240 JAN2020 2.643969 1.36390 -0.029229 5.317168
241 FEB2020 2.991721 1.36268 0.320923 5.662518
242 MAR2020 2.610620 1.36267 -0.060160 5.281400
243 APR2020 2.885889 1.36267 0.215108 5.556669
244 MAY2020 2.542144 1.36267 -0.128636 5.212924
245 JUN2020 3.137241 1.36267 0.466460 5.808021
246 JUL2020 2.620623 1.36267 -0.050157 5.291403
247 AUG2020 2.687398 1.36267 0.016618 5.358178
248 SEP2020 2.308600 1.36270 -0.362251 4.979452

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 2.3086  Date_of_death = Aug2020 
 Forecast = 2.6874  Date_of_death = Aug2020 
 Forecast = 2.6874  Date_of_death = Jul2020 
 Forecast = 2.6206  Date_of_death = Jul2020 
 Forecast = 2.6206  Date_of_death = Jun2020 
 Forecast = 3.1372  Date_of_death = Jun2020 
 Forecast = 3.1372  Date_of_death = May2020 
 Forecast = 2.5421  Date_of_death = May2020 
 Forecast = 2.5421  Date_of_death = Apr2020 
 Forecast = 2.8859  Date_of_death = Apr2020 
 Forecast = 2.8859  Date_of_death = Mar2020 
 Forecast = 2.6106  Date_of_death = Mar2020 
 Forecast = 2.6106  Date_of_death = Feb2020 
 Forecast = 2.9917  Date_of_death = Feb2020 
 Forecast = 2.9917  Date_of_death = Jan2020 
 Forecast = 2.6440  Date_of_death = Jan2020 
 Forecast = 2.6440  Date_of_death = Dec2019 
 Forecast = 3.6007  Date_of_death = Dec2019 
 Forecast = 3.6007  Date_of_death = Nov2019 
 Forecast = 3.0678  Date_of_death = Nov2019 
 Forecast = 3.0678  Date_of_death = Oct2019 
 Forecast = 2.8673  Date_of_death = Sep2020 
 Upper 95% = 4.9795 
 Lower 95% = -0.3623  Date_of_death = Aug2020 
 Upper 95% = 5.3582 
 Lower 95% = 0.0166  Date_of_death = Aug2020 
 Upper 95% = 5.3582 
 Lower 95% = 0.0166  Date_of_death = Jul2020 
 Upper 95% = 5.2914 
 Lower 95% = -0.0502  Date_of_death = Jul2020 
 Upper 95% = 5.2914 
 Lower 95% = -0.0502  Date_of_death = Jun2020 
 Upper 95% = 5.8080 
 Lower 95% = 0.4665  Date_of_death = Jun2020 
 Upper 95% = 5.8080 
 Lower 95% = 0.4665  Date_of_death = May2020 
 Upper 95% = 5.2129 
 Lower 95% = -0.1286  Date_of_death = May2020 
 Upper 95% = 5.2129 
 Lower 95% = -0.1286  Date_of_death = Apr2020 
 Upper 95% = 5.5567 
 Lower 95% = 0.2151  Date_of_death = Apr2020 
 Upper 95% = 5.5567 
 Lower 95% = 0.2151  Date_of_death = Mar2020 
 Upper 95% = 5.2814 
 Lower 95% = -0.0602  Date_of_death = Mar2020 
 Upper 95% = 5.2814 
 Lower 95% = -0.0602  Date_of_death = Feb2020 
 Upper 95% = 5.6625 
 Lower 95% = 0.3209  Date_of_death = Feb2020 
 Upper 95% = 5.6625 
 Lower 95% = 0.3209  Date_of_death = Jan2020 
 Upper 95% = 5.3172 
 Lower 95% = -0.0292  Date_of_death = Jan2020 
 Upper 95% = 5.3172 
 Lower 95% = -0.0292  Date_of_death = Dec2019 
 Upper 95% = 6.2739 
 Lower 95% = 0.9275  Date_of_death = Dec2019 
 Upper 95% = 6.2739 
 Lower 95% = 0.9275  Date_of_death = Nov2019 
 Upper 95% = 5.7411 
 Lower 95% = 0.3946  Date_of_death = Nov2019 
 Upper 95% = 5.7411 
 Lower 95% = 0.3946  Date_of_death = Oct2019 
 Upper 95% = 5.5405 
 Lower 95% = 0.1942
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 2.3086  Date_of_death = Aug2020 
 Forecast = 2.6874  Date_of_death = Aug2020 
 Forecast = 2.6874  Date_of_death = Jul2020 
 Forecast = 2.6206  Date_of_death = Jul2020 
 Forecast = 2.6206  Date_of_death = Jun2020 
 Forecast = 3.1372  Date_of_death = Jun2020 
 Forecast = 3.1372  Date_of_death = May2020 
 Forecast = 2.5421  Date_of_death = May2020 
 Forecast = 2.5421  Date_of_death = Apr2020 
 Forecast = 2.8859  Date_of_death = Apr2020 
 Forecast = 2.8859  Date_of_death = Mar2020 
 Forecast = 2.6106  Date_of_death = Mar2020 
 Forecast = 2.6106  Date_of_death = Feb2020 
 Forecast = 2.9917  Date_of_death = Feb2020 
 Forecast = 2.9917  Date_of_death = Jan2020 
 Forecast = 2.6440  Date_of_death = Jan2020 
 Forecast = 2.6440  Date_of_death = Dec2019 
 Forecast = 3.6007  Date_of_death = Dec2019 
 Forecast = 3.6007  Date_of_death = Nov2019 
 Forecast = 3.0678  Date_of_death = Nov2019 
 Forecast = 3.0678  Date_of_death = Oct2019 
 Forecast = 2.8673  Date_of_death = Oct2019 
 Forecast = 2.8673  Date_of_death = Sep2019 
 Forecast = 2.3998  Date_of_death = Sep2019 
 Forecast = 2.3998  Date_of_death = Aug2019 
 Forecast = 2.7244  Date_of_death = Aug2019 
 Forecast = 2.7244  Date_of_death = Jul2019 
 Forecast = 2.7276  Date_of_death = Jul2019 
 Forecast = 2.7276  Date_of_death = Jun2019 
 Forecast = 3.0634  Date_of_death = Jun2019 
 Forecast = 3.0634  Date_of_death = May2019 
 Forecast = 2.6565  Date_of_death = May2019 
 Forecast = 2.6565  Date_of_death = Apr2019 
 Forecast = 2.9349  Date_of_death = Apr2019 
 Forecast = 2.9349  Date_of_death = Mar2019 
 Forecast = 2.5060  Date_of_death = Mar2019 
 Forecast = 2.5060  Date_of_death = Feb2019 
 Forecast = 2.9328  Date_of_death = Feb2019 
 Forecast = 2.9328  Date_of_death = Jan2019 
 Forecast = 2.7707  Date_of_death = Jan2019 
 Forecast = 2.7707  Date_of_death = Dec2018 
 Forecast = 3.5590  Date_of_death = Dec2018 
 Forecast = 3.5590  Date_of_death = Nov2018 
 Forecast = 3.0034  Date_of_death = Nov2018 
 Forecast = 3.0034  Date_of_death = Oct2018 
 Forecast = 2.7815  Date_of_death = Oct2018 
 Forecast = 2.7815  Date_of_death = Sep2018 
 Forecast = 2.5035  Date_of_death = Sep2018 
 Forecast = 2.5035  Date_of_death = Aug2018 
 Forecast = 2.6074  Date_of_death = Aug2018 
 Forecast = 2.6074  Date_of_death = Jul2018 
 Forecast = 2.7975  Date_of_death = Jul2018 
 Forecast = 2.7975  Date_of_death = Jun2018 
 Forecast = 3.1921  Date_of_death = Jun2018 
 Forecast = 3.1921  Date_of_death = May2018 
 Forecast = 2.5358  Date_of_death = May2018 
 Forecast = 2.5358  Date_of_death = Apr2018 
 Forecast = 2.8815  Date_of_death = Apr2018 
 Forecast = 2.8815  Date_of_death = Mar2018 
 Forecast = 2.5597  Date_of_death = Mar2018 
 Forecast = 2.5597  Date_of_death = Feb2018 
 Forecast = 2.8377  Date_of_death = Feb2018 
 Forecast = 2.8377  Date_of_death = Jan2018 
 Forecast = 2.8403  Date_of_death = Jan2018 
 Forecast = 2.8403  Date_of_death = Dec2017 
 Forecast = 3.5286  Date_of_death = Dec2017 
 Forecast = 3.5286  Date_of_death = Nov2017 
 Forecast = 2.9419  Date_of_death = Nov2017 
 Forecast = 2.9419  Date_of_death = Oct2017 
 Forecast = 2.9100  Date_of_death = Oct2017 
 Forecast = 2.9100  Date_of_death = Sep2017 
 Forecast = 2.3896  Date_of_death = Sep2017 
 Forecast = 2.3896  Date_of_death = Aug2017 
 Forecast = 2.6570  Date_of_death = Aug2017 
 Forecast = 2.6570  Date_of_death = Jul2017 
 Forecast = 2.9096  Date_of_death = Jul2017 
 Forecast = 2.9096  Date_of_death = Jun2017 
 Forecast = 3.1301  Date_of_death = Jun2017 
 Forecast = 3.1301  Date_of_death = May2017 
 Forecast = 2.6649  Date_of_death = May2017 
 Forecast = 2.6649  Date_of_death = Apr2017 
 Forecast = 2.7821  Date_of_death = Apr2017 
 Forecast = 2.7821  Date_of_death = Mar2017 
 Forecast = 2.4700  Date_of_death = Mar2017 
 Forecast = 2.4700  Date_of_death = Feb2017 
 Forecast = 2.8303  Date_of_death = Feb2017 
 Forecast = 2.8303  Date_of_death = Jan2017 
 Forecast = 2.8332  Date_of_death = Jan2017 
 Forecast = 2.8332  Date_of_death = Dec2016 
 Forecast = 3.5011  Date_of_death = Dec2016 
 Forecast = 3.5011  Date_of_death = Nov2016 
 Forecast = 3.0812  Date_of_death = Nov2016 
 Forecast = 3.0812  Date_of_death = Oct2016 
 Forecast = 2.8238  Date_of_death = Oct2016 
 Forecast = 2.8238  Date_of_death = Sep2016 
 Forecast = 2.2671  Date_of_death = Sep2016 
 Forecast = 2.2671  Date_of_death = Aug2016 
 Forecast = 2.6278  Date_of_death = Aug2016 
 Forecast = 2.6278  Date_of_death = Jul2016 
 Forecast = 2.8345  Date_of_death = Jul2016 
 Forecast = 2.8345  Date_of_death = Jun2016 
 Forecast = 3.2131  Date_of_death = Jun2016 
 Forecast = 3.2131  Date_of_death = May2016 
 Forecast = 2.7954  Date_of_death = May2016 
 Forecast = 2.7954  Date_of_death = Apr2016 
 Forecast = 2.9195  Date_of_death = Apr2016 
 Forecast = 2.9195  Date_of_death = Mar2016 
 Forecast = 2.4169  Date_of_death = Mar2016 
 Forecast = 2.4169  Date_of_death = Feb2016 
 Forecast = 2.8221  Date_of_death = Feb2016 
 Forecast = 2.8221  Date_of_death = Jan2016 
 Forecast = 2.9861  Date_of_death = Jan2016 
 Forecast = 2.9861  Date_of_death = Dec2015 
 Forecast = 3.4328  Date_of_death = Dec2015 
 Forecast = 3.4328  Date_of_death = Nov2015 
 Forecast = 3.0192  Date_of_death = Nov2015 
 Forecast = 3.0192  Date_of_death = Oct2015 
 Forecast = 2.7480  Date_of_death = Oct2015 
 Forecast = 2.7480  Date_of_death = Sep2015 
 Forecast = 2.3808  Date_of_death = Sep2015 
 Forecast = 2.3808  Date_of_death = Aug2015 
 Forecast = 2.5166  Date_of_death = Aug2015 
 Forecast = 2.5166  Date_of_death = Jul2015 
 Forecast = 2.9022  Date_of_death = Jul2015 
 Forecast = 2.9022  Date_of_death = Jun2015 
 Forecast = 3.1303  Date_of_death = Jun2015 
 Forecast = 3.1303  Date_of_death = May2015 
 Forecast = 2.9320  Date_of_death = May2015 
 Forecast = 2.9320  Date_of_death = Apr2015 
 Forecast = 2.8241  Date_of_death = Apr2015 
 Forecast = 2.8241  Date_of_death = Mar2015 
 Forecast = 2.3781  Date_of_death = Mar2015 
 Forecast = 2.3781  Date_of_death = Feb2015 
 Forecast = 2.7169  Date_of_death = Feb2015 
 Forecast = 2.7169  Date_of_death = Jan2015 
 Forecast = 2.9123  Date_of_death = Jan2015 
 Forecast = 2.9123  Date_of_death = Dec2014 
 Forecast = 3.3985  Date_of_death = Dec2014 
 Forecast = 3.3985  Date_of_death = Nov2014 
 Forecast = 2.9485  Date_of_death = Nov2014 
 Forecast = 2.9485  Date_of_death = Oct2014 
 Forecast = 2.6387  Date_of_death = Oct2014 
 Forecast = 2.6387  Date_of_death = Sep2014 
 Forecast = 2.2621  Date_of_death = Sep2014 
 Forecast = 2.2621  Date_of_death = Aug2014 
 Forecast = 2.5649  Date_of_death = Aug2014 
 Forecast = 2.5649  Date_of_death = Jul2014 
 Forecast = 2.8117  Date_of_death = Jul2014 
 Forecast = 2.8117  Date_of_death = Jun2014 
 Forecast = 3.2200  Date_of_death = Jun2014 
 Forecast = 3.2200  Date_of_death = May2014 
 Forecast = 3.0970  Date_of_death = May2014 
 Forecast = 3.0970  Date_of_death = Apr2014 
 Forecast = 2.9704  Date_of_death = Apr2014 
 Forecast = 2.9704  Date_of_death = Mar2014 
 Forecast = 2.2373  Date_of_death = Mar2014 
 Forecast = 2.2373  Date_of_death = Feb2014 
 Forecast = 2.8806  Date_of_death = Feb2014 
 Forecast = 2.8806  Date_of_death = Jan2014 
 Forecast = 3.0768  Date_of_death = Jan2014 
 Forecast = 3.0768  Date_of_death = Dec2013 
 Forecast = 3.3396  Date_of_death = Dec2013 
 Forecast = 3.3396  Date_of_death = Nov2013 
 Forecast = 2.8671  Date_of_death = Nov2013 
 Forecast = 2.8671  Date_of_death = Oct2013 
 Forecast = 2.8036  Date_of_death = Oct2013 
 Forecast = 2.8036  Date_of_death = Sep2013 
 Forecast = 2.0926  Date_of_death = Sep2013 
 Forecast = 2.0926  Date_of_death = Aug2013 
 Forecast = 2.7237  Date_of_death = Aug2013 
 Forecast = 2.7237  Date_of_death = Jul2013 
 Forecast = 2.9559  Date_of_death = Jul2013 
 Forecast = 2.9559  Date_of_death = Jun2013 
 Forecast = 3.3932  Date_of_death = Jun2013 
 Forecast = 3.3932  Date_of_death = May2013 
 Forecast = 2.9892  Date_of_death = May2013 
 Forecast = 2.9892  Date_of_death = Apr2013 
 Forecast = 3.1640  Date_of_death = Apr2013 
 Forecast = 3.1640  Date_of_death = Mar2013 
 Forecast = 2.2335  Date_of_death = Mar2013 
 Forecast = 2.2335  Date_of_death = Feb2013 
 Forecast = 2.7654  Date_of_death = Feb2013 
 Forecast = 2.7654  Date_of_death = Jan2013 
 Forecast = 3.0952  Date_of_death = Jan2013 
 Forecast = 3.0952  Date_of_death = Dec2012 
 Forecast = 3.2834  Date_of_death = Dec2012 
 Forecast = 3.2834  Date_of_death = Nov2012 
 Forecast = 2.7519  Date_of_death = Nov2012 
 Forecast = 2.7519  Date_of_death = Oct2012 
 Forecast = 2.7084  Date_of_death = Oct2012 
 Forecast = 2.7084  Date_of_death = Sep2012 
 Forecast = 2.1926  Date_of_death = Sep2012 
 Forecast = 2.1926  Date_of_death = Aug2012 
 Forecast = 2.8690  Date_of_death = Aug2012 
 Forecast = 2.8690  Date_of_death = Jul2012 
 Forecast = 3.0218  Date_of_death = Jul2012 
 Forecast = 3.0218  Date_of_death = Jun2012 
 Forecast = 3.3360  Date_of_death = Jun2012 
 Forecast = 3.3360  Date_of_death = May2012 
 Forecast = 3.1683  Date_of_death = May2012 
 Forecast = 3.1683  Date_of_death = Apr2012 
 Forecast = 3.0715  Date_of_death = Apr2012 
 Forecast = 3.0715  Date_of_death = Mar2012 
 Forecast = 2.0779  Date_of_death = Mar2012 
 Forecast = 2.0779  Date_of_death = Feb2012 
 Forecast = 2.6578  Date_of_death = Feb2012 
 Forecast = 2.6578  Date_of_death = Jan2012 
 Forecast = 3.1163  Date_of_death = Jan2012 
 Forecast = 3.1163  Date_of_death = Dec2011 
 Forecast = 3.5231  Date_of_death = Dec2011 
 Forecast = 3.5231  Date_of_death = Nov2011 
 Forecast = 2.9255  Date_of_death = Nov2011 
 Forecast = 2.9255  Date_of_death = Oct2011 
 Forecast = 2.5598  Date_of_death = Oct2011 
 Forecast = 2.5598  Date_of_death = Sep2011 
 Forecast = 2.3101  Date_of_death = Sep2011 
 Forecast = 2.3101  Date_of_death = Aug2011 
 Forecast = 3.0471  Date_of_death = Aug2011 
 Forecast = 3.0471  Date_of_death = Jul2011 
 Forecast = 3.0175  Date_of_death = Jul2011 
 Forecast = 3.0175  Date_of_death = Jun2011 
 Forecast = 3.2553  Date_of_death = Jun2011 
 Forecast = 3.2553  Date_of_death = May2011 
 Forecast = 3.0929  Date_of_death = May2011 
 Forecast = 3.0929  Date_of_death = Apr2011 
 Forecast = 2.9928  Date_of_death = Apr2011 
 Forecast = 2.9928  Date_of_death = Mar2011 
 Forecast = 2.2008  Date_of_death = Mar2011 
 Forecast = 2.2008  Date_of_death = Feb2011 
 Forecast = 2.7181  Date_of_death = Feb2011 
 Forecast = 2.7181  Date_of_death = Jan2011 
 Forecast = 3.2218  Date_of_death = Jan2011 
 Forecast = 3.2218  Date_of_death = Dec2010 
 Forecast = 3.5646  Date_of_death = Dec2010 
 Forecast = 3.5646  Date_of_death = Nov2010 
 Forecast = 2.8123  Date_of_death = Nov2010 
 Forecast = 2.8123  Date_of_death = Oct2010 
 Forecast = 2.3991  Date_of_death = Oct2010 
 Forecast = 2.3991  Date_of_death = Sep2010 
 Forecast = 2.1199  Date_of_death = Sep2010 
 Forecast = 2.1199  Date_of_death = Aug2010 
 Forecast = 3.2813  Date_of_death = Aug2010 
 Forecast = 3.2813  Date_of_death = Jul2010 
 Forecast = 2.9030  Date_of_death = Jul2010 
 Forecast = 2.9030  Date_of_death = Jun2010 
 Forecast = 3.1832  Date_of_death = Jun2010 
 Forecast = 3.1832  Date_of_death = May2010 
 Forecast = 3.0022  Date_of_death = May2010 
 Forecast = 3.0022  Date_of_death = Apr2010 
 Forecast = 3.2104  Date_of_death = Apr2010 
 Forecast = 3.2104  Date_of_death = Mar2010 
 Forecast = 2.3191  Date_of_death = Mar2010 
 Forecast = 2.3191  Date_of_death = Feb2010 
 Forecast = 2.7847  Date_of_death = Feb2010 
 Forecast = 2.7847  Date_of_death = Jan2010 
 Forecast = 3.1217  Date_of_death = Jan2010 
 Forecast = 3.1217  Date_of_death = Dec2009 
 Forecast = 3.5219  Date_of_death = Dec2009 
 Forecast = 3.5219  Date_of_death = Nov2009 
 Forecast = 2.6795  Date_of_death = Nov2009 
 Forecast = 2.6795  Date_of_death = Oct2009 
 Forecast = 2.2213  Date_of_death = Oct2009 
 Forecast = 2.2213  Date_of_death = Sep2009 
 Forecast = 2.0097  Date_of_death = Sep2009 
 Forecast = 2.0097  Date_of_death = Aug2009 
 Forecast = 3.2046  Date_of_death = Aug2009 
 Forecast = 3.2046  Date_of_death = Jul2009 
 Forecast = 2.7785  Date_of_death = Jul2009 
 Forecast = 2.7785  Date_of_death = Jun2009 
 Forecast = 3.4564  Date_of_death = Jun2009 
 Forecast = 3.4564  Date_of_death = May2009 
 Forecast = 3.2219  Date_of_death = May2009 
 Forecast = 3.2219  Date_of_death = Apr2009 
 Forecast = 3.0991  Date_of_death = Apr2009 
 Forecast = 3.0991  Date_of_death = Mar2009 
 Forecast = 2.3572  Date_of_death = Mar2009 
 Forecast = 2.3572  Date_of_death = Feb2009 
 Forecast = 3.0026  Date_of_death = Feb2009 
 Forecast = 3.0026  Date_of_death = Jan2009 
 Forecast = 2.9987  Date_of_death = Jan2009 
 Forecast = 2.9987  Date_of_death = Dec2008 
 Forecast = 3.8686  Date_of_death = Dec2008 
 Forecast = 3.8686  Date_of_death = Nov2008 
 Forecast = 2.5009  Date_of_death = Nov2008 
 Forecast = 2.5009  Date_of_death = Oct2008 
 Forecast = 1.9940  Date_of_death = Oct2008 
 Forecast = 1.9940  Date_of_death = Sep2008 
 Forecast = 2.0224  Date_of_death = Sep2008 
 Forecast = 2.0224  Date_of_death = Aug2008 
 Forecast = 3.5046  Date_of_death = Aug2008 
 Forecast = 3.5046  Date_of_death = Jul2008 
 Forecast = 2.9949  Date_of_death = Jul2008 
 Forecast = 2.9949  Date_of_death = Jun2008 
 Forecast = 3.6329  Date_of_death = Jun2008 
 Forecast = 3.6329  Date_of_death = May2008 
 Forecast = 3.3831  Date_of_death = May2008 
 Forecast = 3.3831  Date_of_death = Apr2008 
 Forecast = 2.9718  Date_of_death = Apr2008 
 Forecast = 2.9718  Date_of_death = Mar2008 
 Forecast = 2.1322  Date_of_death = Mar2008 
 Forecast = 2.1322  Date_of_death = Feb2008 
 Forecast = 2.8808  Date_of_death = Feb2008 
 Forecast = 2.8808  Date_of_death = Jan2008 
 Forecast = 2.8397  Date_of_death = Jan2008 
 Forecast = 2.8397  Date_of_death = Dec2007 
 Forecast = 3.8593  Date_of_death = Dec2007 
 Forecast = 3.8593  Date_of_death = Nov2007 
 Forecast = 2.2843  Date_of_death = Nov2007 
 Forecast = 2.2843  Date_of_death = Oct2007 
 Forecast = 2.1492  Date_of_death = Oct2007 
 Forecast = 2.1492  Date_of_death = Sep2007 
 Forecast = 2.0111  Date_of_death = Sep2007 
 Forecast = 2.0111  Date_of_death = Aug2007 
 Forecast = 3.5719  Date_of_death = Aug2007 
 Forecast = 3.5719  Date_of_death = Jul2007 
 Forecast = 3.2862  Date_of_death = Jul2007 
 Forecast = 3.2862  Date_of_death = Jun2007 
 Forecast = 3.5640  Date_of_death = Jun2007 
 Forecast = 3.5640  Date_of_death = May2007 
 Forecast = 3.2961  Date_of_death = May2007 
 Forecast = 3.2961  Date_of_death = Apr2007 
 Forecast = 3.2791  Date_of_death = Apr2007 
 Forecast = 3.2791  Date_of_death = Mar2007 
 Forecast = 1.8483  Date_of_death = Mar2007 
 Forecast = 1.8483  Date_of_death = Feb2007 
 Forecast = 3.1757  Date_of_death = Feb2007 
 Forecast = 3.1757  Date_of_death = Jan2007 
 Forecast = 2.9792  Date_of_death = Jan2007 
 Forecast = 2.9792  Date_of_death = Dec2006 
 Forecast = 3.8387  Date_of_death = Dec2006 
 Forecast = 3.8387  Date_of_death = Nov2006 
 Forecast = 1.9827  Date_of_death = Nov2006 
 Forecast = 1.9827  Date_of_death = Oct2006 
 Forecast = 1.8339  Date_of_death = Oct2006 
 Forecast = 1.8339  Date_of_death = Sep2006 
 Forecast = 1.6701  Date_of_death = Sep2006 
 Forecast = 1.6701  Date_of_death = Aug2006 
 Forecast = 3.4955  Date_of_death = Aug2006 
 Forecast = 3.4955  Date_of_death = Jul2006 
 Forecast = 3.5125  Date_of_death = Jul2006 
 Forecast = 3.5125  Date_of_death = Jun2006 
 Forecast = 3.4868  Date_of_death = Jun2006 
 Forecast = 3.4868  Date_of_death = May2006 
 Forecast = 3.3400  Date_of_death = May2006 
 Forecast = 3.3400  Date_of_death = Apr2006 
 Forecast = 3.5084  Date_of_death = Apr2006 
 Forecast = 3.5084  Date_of_death = Mar2006 
 Forecast = 1.9826  Date_of_death = Mar2006 
 Forecast = 1.9826  Date_of_death = Feb2006 
 Forecast = 3.0263  Date_of_death = Feb2006 
 Forecast = 3.0263  Date_of_death = Jan2006 
 Forecast = 3.3899  Date_of_death = Jan2006 
 Forecast = 3.3899  Date_of_death = Dec2005 
 Forecast = 3.8066  Date_of_death = Dec2005 
 Forecast = 3.8066  Date_of_death = Nov2005 
 Forecast = 1.9872  Date_of_death = Nov2005 
 Forecast = 1.9872  Date_of_death = Oct2005 
 Forecast = 1.8079  Date_of_death = Oct2005 
 Forecast = 1.8079  Date_of_death = Sep2005 
 Forecast = 1.6044  Date_of_death = Sep2005 
 Forecast = 1.6044  Date_of_death = Aug2005 
 Forecast = 3.3873  Date_of_death = Aug2005 
 Forecast = 3.3873  Date_of_death = Jul2005 
 Forecast = 3.4154  Date_of_death = Jul2005 
 Forecast = 3.4154  Date_of_death = Jun2005 
 Forecast = 3.9991  Date_of_death = Jun2005 
 Forecast = 3.9991  Date_of_death = May2005 
 Forecast = 3.6033  Date_of_death = May2005 
 Forecast = 3.6033  Date_of_death = Apr2005 
 Forecast = 3.3997  Date_of_death = Apr2005 
 Forecast = 3.3997  Date_of_death = Mar2005 
 Forecast = 2.1898  Date_of_death = Mar2005 
 Forecast = 2.1898  Date_of_death = Feb2005 
 Forecast = 2.8153  Date_of_death = Feb2005 
 Forecast = 2.8153  Date_of_death = Jan2005 
 Forecast = 3.2376  Date_of_death = Jan2005 
 Forecast = 3.2376  Date_of_death = Dec2004 
 Forecast = 3.7589  Date_of_death = Dec2004 
 Forecast = 3.7589  Date_of_death = Nov2004 
 Forecast = 2.2401  Date_of_death = Nov2004 
 Forecast = 2.2401  Date_of_death = Oct2004 
 Forecast = 1.2475  Date_of_death = Oct2004 
 Forecast = 1.2475  Date_of_death = Sep2004 
 Forecast = 1.0008  Date_of_death = Sep2004 
 Forecast = 1.0008  Date_of_death = Aug2004 
 Forecast = 3.2389  Date_of_death = Aug2004 
 Forecast = 3.2389  Date_of_death = Jul2004 
 Forecast = 3.2586  Date_of_death = Jul2004 
 Forecast = 3.2586  Date_of_death = Jun2004 
 Forecast = 3.9955  Date_of_death = Jun2004 
 Forecast = 3.9955  Date_of_death = May2004 
 Forecast = 3.5040  Date_of_death = May2004 
 Forecast = 3.5040  Date_of_death = Apr2004 
 Forecast = 3.2439  Date_of_death = Apr2004 
 Forecast = 3.2439  Date_of_death = Mar2004 
 Forecast = 2.4985  Date_of_death = Mar2004 
 Forecast = 2.4985  Date_of_death = Feb2004 
 Forecast = 2.5122  Date_of_death = Feb2004 
 Forecast = 2.5122  Date_of_death = Jan2004 
 Forecast = 3.9962  Date_of_death = Jan2004 
 Forecast = 3.9962  Date_of_death = Dec2003 
 Forecast = 3.6694  Date_of_death = Dec2003 
 Forecast = 3.6694  Date_of_death = Nov2003 
 Forecast = 2.3291  Date_of_death = Nov2003 
 Forecast = 2.3291  Date_of_death = Oct2003 
 Forecast = 1.0011  Date_of_death = Oct2003 
 Forecast = 1.0011  Date_of_death = Sep2003 
 Forecast = 1.0047  Date_of_death = Sep2003 
 Forecast = 1.0047  Date_of_death = Aug2003 
 Forecast = 3.9966  Date_of_death = Aug2003 
 Forecast = 3.9966  Date_of_death = Jul2003 
 Forecast = 3.0036  Date_of_death = Jul2003 
 Forecast = 3.0036  Date_of_death = Jun2003 
 Forecast = 3.9969  Date_of_death = Jun2003 
 Forecast = 3.9969  Date_of_death = May2003 
 Forecast = 3.3387  Date_of_death = May2003 
 Forecast = 3.3387  Date_of_death = Apr2003 
 Forecast = 3.9983  Date_of_death = Apr2003 
 Forecast = 3.9983  Date_of_death = Mar2003 
 Forecast = 1.9910  Date_of_death = Mar2003 
 Forecast = 1.9910  Date_of_death = Feb2003 
 Forecast = 2.0063  Date_of_death = Feb2003 
 Forecast = 2.0063  Date_of_death = Jan2003 
 Forecast = 3.9977  Date_of_death = Jan2003 
 Forecast = 3.9977  Date_of_death = Dec2002 
 Forecast = 3.5023  Date_of_death = Dec2002 
 Forecast = 3.5023  Date_of_death = Nov2002 
 Forecast = 2.4976  Date_of_death = Nov2002 
 Forecast = 2.4976  Date_of_death = Oct2002 
 Forecast = 1.0010  Date_of_death = Oct2002 
 Forecast = 1.0010  Date_of_death = Sep2002 
 Forecast = 1.0000  Date_of_death = Sep2002 
 Forecast = 1.0000  Date_of_death = Aug2002 
 Forecast = 3.9973  Date_of_death = Aug2002 
 Forecast = 3.9973  Date_of_death = Jul2002 
 Forecast = 2.5020  Date_of_death = Jul2002 
 Forecast = 2.5020  Date_of_death = Jun2002 
 Forecast = 3.9985  Date_of_death = Jun2002 
 Forecast = 3.9985  Date_of_death = May2002 
 Forecast = 2.9986  Date_of_death = May2002 
 Forecast = 2.9986  Date_of_death = Apr2002 
 Forecast = 4.0034  Date_of_death = Apr2002 
 Forecast = 4.0034  Date_of_death = Mar2002 
 Forecast = 2.4946  Date_of_death = Mar2002 
 Forecast = 2.4946  Date_of_death = Feb2002 
 Forecast = 1.0010  Date_of_death = Feb2002 
 Forecast = 1.0010  Date_of_death = Jan2002 
 Forecast = 3.9993  Date_of_death = Jan2002 
 Forecast = 3.9993  Date_of_death = Dec2001 
 Forecast = 3.0020  Date_of_death = Dec2001 
 Forecast = 3.0020  Date_of_death = Nov2001 
 Forecast = 4.0000  Date_of_death = Nov2001 
 Forecast = 4.0000  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Sep2001 
 Forecast = 1.0000  Date_of_death = Sep2001 
 Forecast = 1.0000  Date_of_death = Aug2001 
 Forecast = 3.9980  Date_of_death = Aug2001 
 Forecast = 3.9980  Date_of_death = Jul2001 
 Forecast = 1.0000  Date_of_death = Jul2001 
 Forecast = 1.0000  Date_of_death = Jun2001 
 Forecast = 4.0014  Date_of_death = Jun2001 
 Forecast = 4.0014  Date_of_death = May2001 
 Forecast = 4.0000  Date_of_death = May2001 
 Forecast = 4.0000  Date_of_death = Apr2001 
 Forecast = 4.0020  Date_of_death = Apr2001 
 Forecast = 4.0020  Date_of_death = Mar2001 
 Forecast = 4.0000  Date_of_death = Mar2001 
 Forecast = 4.0000  Date_of_death = Feb2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 2.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 4.0000  Date_of_death = May2019 
 incidents = 1.0000  Date_of_death = Apr2019 
 incidents = 2.0000  Date_of_death = Mar2019 
 incidents = 4.0000  Date_of_death = Feb2019 
 incidents = 4.0000  Date_of_death = Jan2019 
 incidents = 1.0000  Date_of_death = Dec2018 
 incidents = 4.0000  Date_of_death = Nov2018 
 incidents = 4.0000  Date_of_death = Oct2018 
 incidents = 4.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 4.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 4.0000  Date_of_death = Apr2018 
 incidents = 4.0000  Date_of_death = Mar2018 
 incidents = 2.0000  Date_of_death = Feb2018 
 incidents = 4.0000  Date_of_death = Jan2018 
 incidents = 2.0000  Date_of_death = Dec2017 
 incidents = 4.0000  Date_of_death = Nov2017 
 incidents = 4.0000  Date_of_death = Oct2017 
 incidents = 1.0000  Date_of_death = Sep2017 
 incidents = 4.0000  Date_of_death = Aug2017 
 incidents = 2.0000  Date_of_death = Jul2017 
 incidents = 1.0000  Date_of_death = Jun2017 
 incidents = 4.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 4.0000  Date_of_death = Mar2017 
 incidents = 4.0000  Date_of_death = Feb2017 
 incidents = 3.0000  Date_of_death = Jan2017 
 incidents = 3.0000  Date_of_death = Dec2016 
 incidents = 4.0000  Date_of_death = Nov2016 
 incidents = 1.0000  Date_of_death = Oct2016 
 incidents = 4.0000  Date_of_death = Sep2016 
 incidents = 4.0000  Date_of_death = Aug2016 
 incidents = 3.0000  Date_of_death = Jul2016 
 incidents = 4.0000  Date_of_death = Jun2016 
 incidents = 2.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 3.0000  Date_of_death = Feb2016 
 incidents = 3.0000  Date_of_death = Jan2016 
 incidents = 1.0000  Date_of_death = Dec2015 
 incidents = 4.0000  Date_of_death = Nov2015 
 incidents = 4.0000  Date_of_death = Oct2015 
 incidents = 4.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 4.0000  Date_of_death = Jul2015 
 incidents = 2.0000  Date_of_death = Jun2015 
 incidents = 4.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 4.0000  Date_of_death = Mar2015 
 incidents = 3.0000  Date_of_death = Feb2015 
 incidents = 4.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 4.0000  Date_of_death = Nov2014 
 incidents = 4.0000  Date_of_death = Oct2014 
 incidents = 4.0000  Date_of_death = Sep2014 
 incidents = 4.0000  Date_of_death = Aug2014 
 incidents = 2.0000  Date_of_death = Jul2014 
 incidents = 4.0000  Date_of_death = Jun2014 
 incidents = 2.0000  Date_of_death = May2014 
 incidents = 1.0000  Date_of_death = Apr2014 
 incidents = 1.0000  Date_of_death = Mar2014 
 incidents = 4.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 4.0000  Date_of_death = Nov2013 
 incidents = 4.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 4.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 1.0000  Date_of_death = May2013 
 incidents = 4.0000  Date_of_death = Apr2013 
 incidents = 1.0000  Date_of_death = Mar2013 
 incidents = 2.0000  Date_of_death = Feb2013 
 incidents = 4.0000  Date_of_death = Jan2013 
 incidents = 3.0000  Date_of_death = Dec2012 
 incidents = 4.0000  Date_of_death = Nov2012 
 incidents = 4.0000  Date_of_death = Oct2012 
 incidents = 4.0000  Date_of_death = Sep2012 
 incidents = 1.0000  Date_of_death = Aug2012 
 incidents = 1.0000  Date_of_death = Jul2012 
 incidents = 2.0000  Date_of_death = Jun2012 
 incidents = 4.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 4.0000  Date_of_death = Mar2012 
 incidents = 4.0000  Date_of_death = Feb2012 
 incidents = 4.0000  Date_of_death = Jan2012 
 incidents = 3.0000  Date_of_death = Dec2011 
 incidents = 1.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 4.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 1.0000  Date_of_death = Jul2011 
 incidents = 3.0000  Date_of_death = Jun2011 
 incidents = 4.0000  Date_of_death = May2011 
 incidents = 4.0000  Date_of_death = Apr2011 
 incidents = 4.0000  Date_of_death = Mar2011 
 incidents = 1.0000  Date_of_death = Feb2011 
 incidents = 2.0000  Date_of_death = Jan2011 
 incidents = 2.0000  Date_of_death = Dec2010 
 incidents = 3.0000  Date_of_death = Nov2010 
 incidents = 4.0000  Date_of_death = Oct2010 
 incidents = 4.0000  Date_of_death = Sep2010 
 incidents = 4.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 4.0000  Date_of_death = Jun2010 
 incidents = 4.0000  Date_of_death = May2010 
 incidents = 4.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 2.0000  Date_of_death = Jan2010 
 incidents = 4.0000  Date_of_death = Dec2009 
 incidents = 4.0000  Date_of_death = Nov2009 
 incidents = 4.0000  Date_of_death = Oct2009 
 incidents = 4.0000  Date_of_death = Sep2009 
 incidents = 3.0000  Date_of_death = Aug2009 
 incidents = 4.0000  Date_of_death = Jul2009 
 incidents = 4.0000  Date_of_death = Jun2009 
 incidents = 1.0000  Date_of_death = May2009 
 incidents = 1.0000  Date_of_death = Apr2009 
 incidents = 4.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 1.0000  Date_of_death = Jan2009 
 incidents = 4.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 4.0000  Date_of_death = Sep2008 
 incidents = 2.0000  Date_of_death = Aug2008 
 incidents = 1.0000  Date_of_death = Jul2008 
 incidents = 1.0000  Date_of_death = Jun2008 
 incidents = 2.0000  Date_of_death = May2008 
 incidents = 2.0000  Date_of_death = Apr2008 
 incidents = 4.0000  Date_of_death = Mar2008 
 incidents = 4.0000  Date_of_death = Feb2008 
 incidents = 4.0000  Date_of_death = Jan2008 
 incidents = 4.0000  Date_of_death = Dec2007 
 incidents = 4.0000  Date_of_death = Nov2007 
 incidents = 4.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 2.0000  Date_of_death = Aug2007 
 incidents = 3.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 4.0000  Date_of_death = May2007 
 incidents = 4.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 4.0000  Date_of_death = Feb2007 
 incidents = 1.0000  Date_of_death = Jan2007 
 incidents = 2.0000  Date_of_death = Dec2006 
 incidents = 4.0000  Date_of_death = Nov2006 
 incidents = 4.0000  Date_of_death = Oct2006 
 incidents = 4.0000  Date_of_death = Sep2006 
 incidents = 4.0000  Date_of_death = Aug2006 
 incidents = 4.0000  Date_of_death = Jul2006 
 incidents = 2.0000  Date_of_death = Jun2006 
 incidents = 4.0000  Date_of_death = May2006 
 incidents = 3.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 4.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 4.0000  Date_of_death = Nov2005 
 incidents = 2.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 2.0000  Date_of_death = Aug2005 
 incidents = 4.0000  Date_of_death = Jul2005 
 incidents = 4.0000  Date_of_death = Jun2005 
 incidents = 1.0000  Date_of_death = May2005 
 incidents = 2.0000  Date_of_death = Apr2005 
 incidents = 4.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 4.0000  Date_of_death = Jan2005 
 incidents = 4.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 4.0000  Date_of_death = Sep2004 
 incidents = 4.0000  Date_of_death = Aug2004 
 incidents = 4.0000  Date_of_death = Jul2004 
 incidents = 4.0000  Date_of_death = Jun2004 
 incidents = 4.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 4.0000  Date_of_death = Mar2004 
 incidents = 1.0000  Date_of_death = Feb2004 
 incidents = 4.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 4.0000  Date_of_death = Nov2003 
 incidents = 2.0000  Date_of_death = Oct2003 
 incidents = 2.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 4.0000  Date_of_death = Jun2003 
 incidents = 4.0000  Date_of_death = May2003 
 incidents = 4.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 4.0000  Date_of_death = Feb2003 
 incidents = 4.0000  Date_of_death = Jan2003 
 incidents = 4.0000  Date_of_death = Dec2002 
 incidents = 4.0000  Date_of_death = Nov2002 
 incidents = 2.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 4.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 4.0000  Date_of_death = May2002 
 incidents = 4.0000  Date_of_death = Apr2002 
 incidents = 4.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 4.0000  Date_of_death = Jan2002 
 incidents = 4.0000  Date_of_death = Dec2001 
 incidents = 4.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 1.0000  Date_of_death = Sep2001 
 incidents = 1.0000  Date_of_death = Aug2001 
 incidents = 4.0000  Date_of_death = Jul2001 
 incidents = 4.0000  Date_of_death = Jun2001 
 incidents = 4.0000  Date_of_death = May2001 
 incidents = 2.0000  Date_of_death = Apr2001 
 incidents = 4.0000  Date_of_death = Mar2001 
 incidents = 1.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Sep2020 
 Upper 95% = 4.9795 
 Lower 95% = -0.3623  Date_of_death = Aug2020 
 Upper 95% = 5.3582 
 Lower 95% = 0.0166  Date_of_death = Aug2020 
 Upper 95% = 5.3582 
 Lower 95% = 0.0166  Date_of_death = Jul2020 
 Upper 95% = 5.2914 
 Lower 95% = -0.0502  Date_of_death = Jul2020 
 Upper 95% = 5.2914 
 Lower 95% = -0.0502  Date_of_death = Jun2020 
 Upper 95% = 5.8080 
 Lower 95% = 0.4665  Date_of_death = Jun2020 
 Upper 95% = 5.8080 
 Lower 95% = 0.4665  Date_of_death = May2020 
 Upper 95% = 5.2129 
 Lower 95% = -0.1286  Date_of_death = May2020 
 Upper 95% = 5.2129 
 Lower 95% = -0.1286  Date_of_death = Apr2020 
 Upper 95% = 5.5567 
 Lower 95% = 0.2151  Date_of_death = Apr2020 
 Upper 95% = 5.5567 
 Lower 95% = 0.2151  Date_of_death = Mar2020 
 Upper 95% = 5.2814 
 Lower 95% = -0.0602  Date_of_death = Mar2020 
 Upper 95% = 5.2814 
 Lower 95% = -0.0602  Date_of_death = Feb2020 
 Upper 95% = 5.6625 
 Lower 95% = 0.3209  Date_of_death = Feb2020 
 Upper 95% = 5.6625 
 Lower 95% = 0.3209  Date_of_death = Jan2020 
 Upper 95% = 5.3172 
 Lower 95% = -0.0292  Date_of_death = Jan2020 
 Upper 95% = 5.3172 
 Lower 95% = -0.0292  Date_of_death = Dec2019 
 Upper 95% = 6.2739 
 Lower 95% = 0.9275  Date_of_death = Dec2019 
 Upper 95% = 6.2739 
 Lower 95% = 0.9275  Date_of_death = Nov2019 
 Upper 95% = 5.7411 
 Lower 95% = 0.3946  Date_of_death = Nov2019 
 Upper 95% = 5.7411 
 Lower 95% = 0.3946  Date_of_death = Oct2019 
 Upper 95% = 5.5405 
 Lower 95% = 0.1942
Forecast Plot

County=Jefferson

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.33755 2.30603

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.33755 2.30603

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 4.23627
Level Error Variance 1.58860
Season Error Variance 5.85033

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -527.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 1061.9
BIC (smaller is better) 1072.1
AICC (smaller is better) 1062
HQIC (smaller is better) 1066
CAIC (smaller is better) 1075.1
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 5.26204 0.50077 10.51 <.0001
Level Error Variance 0.00267 0.0035726 0.75 0.4547
Season Error Variance 1.270137E-7 0.00006925 0.00 0.9985

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 6.42556
Root Mean Squared Error 2.53487
Mean Absolute Percentage Error 131.16827
Maximum Percent Error 83.97269
R-Square -0.22959
Adjusted R-Square -0.24067
Random Walk R-Square 0.21933
Amemiya's Adjusted R-Square -0.26283

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 2.93 0.0869
Level 1 68.58 <.0001
Season 11 7.81 0.7298

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.837076125 0.3425861

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.270137E-7

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 8.255 
 Percent = 0.0289  Prediction Error = 8.1765 
 Percent = 0.0341  Prediction Error = 8.1765 
 Percent = 0.0341  Prediction Error = 8.0981 
 Percent = 0.0402  Prediction Error = 8.0981 
 Percent = 0.0402  Prediction Error = 8.0196 
 Percent = 0.0472  Prediction Error = 8.0196 
 Percent = 0.0472  Prediction Error = 7.9412 
 Percent = 0.0553  Prediction Error = 7.9412 
 Percent = 0.0553  Prediction Error = 7.8627 
 Percent = 0.0646  Prediction Error = 7.8627 
 Percent = 0.0646  Prediction Error = 7.7843 
 Percent = 0.0752  Prediction Error = 7.7843 
 Percent = 0.0752  Prediction Error = 7.7058 
 Percent = 0.0872  Prediction Error = 7.7058 
 Percent = 0.0872  Prediction Error = 7.6274 
 Percent = 0.1009  Prediction Error = 7.6274 
 Percent = 0.1009  Prediction Error = 7.5489 
 Percent = 0.1165  Prediction Error = 7.5489 
 Percent = 0.1165  Prediction Error = 7.4704 
 Percent = 0.134  Prediction Error = 7.4704 
 Percent = 0.134  Prediction Error = 7.392 
 Percent = 0.1537  Prediction Error = 7.392 
 Percent = 0.1537  Prediction Error = 7.3135 
 Percent = 0.1759  Prediction Error = 7.3135 
 Percent = 0.1759  Prediction Error = 7.2351 
 Percent = 0.2008  Prediction Error = 7.2351 
 Percent = 0.2008  Prediction Error = 7.1566 
 Percent = 0.2285  Prediction Error = 7.1566 
 Percent = 0.2285  Prediction Error = 7.0782 
 Percent = 0.2595  Prediction Error = 7.0782 
 Percent = 0.2595  Prediction Error = 6.9997 
 Percent = 0.2939  Prediction Error = 6.9997 
 Percent = 0.2939  Prediction Error = 6.9213 
 Percent = 0.3321  Prediction Error = 6.9213 
 Percent = 0.3321  Prediction Error = 6.8428 
 Percent = 0.3744  Prediction Error = 6.8428 
 Percent = 0.3744  Prediction Error = 6.7644 
 Percent = 0.4212  Prediction Error = 6.7644 
 Percent = 0.4212  Prediction Error = 6.6859 
 Percent = 0.4727  Prediction Error = 6.6859 
 Percent = 0.4727  Prediction Error = 6.6074 
 Percent = 0.5294  Prediction Error = 6.6074 
 Percent = 0.5294  Prediction Error = 6.529 
 Percent = 0.5917  Prediction Error = 6.529 
 Percent = 0.5917  Prediction Error = 6.4505 
 Percent = 0.66  Prediction Error = 6.4505 
 Percent = 0.66  Prediction Error = 6.3721 
 Percent = 0.7346  Prediction Error = 6.3721 
 Percent = 0.7346  Prediction Error = 6.2936 
 Percent = 0.8162  Prediction Error = 6.2936 
 Percent = 0.8162  Prediction Error = 6.2152 
 Percent = 0.905  Prediction Error = 6.2152 
 Percent = 0.905  Prediction Error = 6.1367 
 Percent = 1.0017  Prediction Error = 6.1367 
 Percent = 1.0017  Prediction Error = 6.0583 
 Percent = 1.1067  Prediction Error = 6.0583 
 Percent = 1.1067  Prediction Error = 5.9798 
 Percent = 1.2205  Prediction Error = 5.9798 
 Percent = 1.2205  Prediction Error = 5.9014 
 Percent = 1.3435  Prediction Error = 5.9014 
 Percent = 1.3435  Prediction Error = 5.8229 
 Percent = 1.4764  Prediction Error = 5.8229 
 Percent = 1.4764  Prediction Error = 5.7445 
 Percent = 1.6195  Prediction Error = 5.7445 
 Percent = 1.6195  Prediction Error = 5.666 
 Percent = 1.7734  Prediction Error = 5.666 
 Percent = 1.7734  Prediction Error = 5.5875 
 Percent = 1.9385  Prediction Error = 5.5875 
 Percent = 1.9385  Prediction Error = 5.5091 
 Percent = 2.1151  Prediction Error = 5.5091 
 Percent = 2.1151  Prediction Error = 5.4306 
 Percent = 2.3038  Prediction Error = 5.4306 
 Percent = 2.3038  Prediction Error = 5.3522 
 Percent = 2.5048  Prediction Error = 5.3522 
 Percent = 2.5048  Prediction Error = 5.2737 
 Percent = 2.7183  Prediction Error = 5.2737 
 Percent = 2.7183  Prediction Error = 5.1953 
 Percent = 2.9445  Prediction Error = 5.1953 
 Percent = 2.9445  Prediction Error = 5.1168 
 Percent = 3.1835  Prediction Error = 5.1168 
 Percent = 3.1835  Prediction Error = 5.0384 
 Percent = 3.4353  Prediction Error = 5.0384 
 Percent = 3.4353  Prediction Error = 4.9599 
 Percent = 3.6998  Prediction Error = 4.9599 
 Percent = 3.6998  Prediction Error = 4.8815 
 Percent = 3.9766  Prediction Error = 4.8815 
 Percent = 3.9766  Prediction Error = 4.803 
 Percent = 4.2655  Prediction Error = 4.803 
 Percent = 4.2655  Prediction Error = 4.7245 
 Percent = 4.566  Prediction Error = 4.7245 
 Percent = 4.566  Prediction Error = 4.6461 
 Percent = 4.8772  Prediction Error = 4.6461 
 Percent = 4.8772  Prediction Error = 4.5676 
 Percent = 5.1985  Prediction Error = 4.5676 
 Percent = 5.1985  Prediction Error = 4.4107 
 Percent = 5.867  Prediction Error = 4.4107 
 Percent = 5.867  Prediction Error = 4.0185 
 Percent = 7.6268  Prediction Error = 4.0185 
 Percent = 7.6268  Prediction Error = 3.7831 
 Percent = 8.6758  Prediction Error = 3.7831 
 Percent = 8.6758  Prediction Error = 3.6262 
 Percent = 9.3401  Prediction Error = 3.6262 
 Percent = 9.3401  Prediction Error = 3.5477 
 Percent = 9.6558  Prediction Error = 3.5477 
 Percent = 9.6558  Prediction Error = 3.4693 
 Percent = 9.9579  Prediction Error = 3.4693 
 Percent = 9.9579  Prediction Error = 3.3908 
 Percent = 10.245  Prediction Error = 3.3908 
 Percent = 10.245  Prediction Error = 3.3124 
 Percent = 10.515  Prediction Error = 3.3124 
 Percent = 10.515  Prediction Error = 3.2339 
 Percent = 10.766  Prediction Error = 3.2339 
 Percent = 10.766  Prediction Error = 3.1555 
 Percent = 10.998  Prediction Error = 3.1555 
 Percent = 10.998  Prediction Error = 3.077 
 Percent = 11.208  Prediction Error = 3.077 
 Percent = 11.208  Prediction Error = 2.9985 
 Percent = 11.397  Prediction Error = 2.9985 
 Percent = 11.397  Prediction Error = 2.9201 
 Percent = 11.564  Prediction Error = 2.9201 
 Percent = 11.564  Prediction Error = 2.8416 
 Percent = 11.708  Prediction Error = 2.8416 
 Percent = 11.708  Prediction Error = 2.7632 
 Percent = 11.829  Prediction Error = 2.7632 
 Percent = 11.829  Prediction Error = 2.6847 
 Percent = 11.927  Prediction Error = 2.6847 
 Percent = 11.927  Prediction Error = 2.6063 
 Percent = 12.002  Prediction Error = 2.6063 
 Percent = 12.002  Prediction Error = 2.5278 
 Percent = 12.056  Prediction Error = 2.5278 
 Percent = 12.056  Prediction Error = 2.4494 
 Percent = 12.09  Prediction Error = 2.4494 
 Percent = 12.09  Prediction Error = 2.3709 
 Percent = 12.103  Prediction Error = 2.3709 
 Percent = 12.103  Prediction Error = 2.2925 
 Percent = 12.099  Prediction Error = 2.2925 
 Percent = 12.099  Prediction Error = 2.214 
 Percent = 12.077  Prediction Error = 2.214 
 Percent = 12.077  Prediction Error = 2.1355 
 Percent = 12.041  Prediction Error = 2.1355 
 Percent = 12.041  Prediction Error = 2.0571 
 Percent = 11.992  Prediction Error = 2.0571 
 Percent = 11.992  Prediction Error = 1.9786 
 Percent = 11.932  Prediction Error = 1.9786 
 Percent = 11.932  Prediction Error = 1.9002 
 Percent = 11.863  Prediction Error = 1.9002 
 Percent = 11.863  Prediction Error = 1.5079 
 Percent = 11.461  Prediction Error = 1.5079 
 Percent = 11.461  Prediction Error = 1.4295 
 Percent = 11.384  Prediction Error = 1.4295 
 Percent = 11.384  Prediction Error = 1.351 
 Percent = 11.313  Prediction Error = 1.351 
 Percent = 11.313  Prediction Error = 1.2726 
 Percent = 11.249  Prediction Error = 1.2726 
 Percent = 11.249  Prediction Error = 1.1941 
 Percent = 11.195  Prediction Error = 1.1941 
 Percent = 11.195  Prediction Error = 1.1156 
 Percent = 11.152  Prediction Error = 1.1156 
 Percent = 11.152  Prediction Error = 1.0372 
 Percent = 11.121  Prediction Error = 1.0372 
 Percent = 11.121  Prediction Error = 0.9587 
 Percent = 11.103  Prediction Error = 0.9587 
 Percent = 11.103  Prediction Error = 0.8803 
 Percent = 11.099  Prediction Error = 0.8803 
 Percent = 11.099  Prediction Error = 0.8018 
 Percent = 11.111  Prediction Error = 0.8018 
 Percent = 11.111  Prediction Error = 0.7234 
 Percent = 11.139  Prediction Error = 0.7234 
 Percent = 11.139  Prediction Error = 0.6449 
 Percent = 11.183  Prediction Error = 0.6449 
 Percent = 11.183  Prediction Error = 0.5665 
 Percent = 11.243  Prediction Error = 0.5665 
 Percent = 11.243  Prediction Error = 0.488 
 Percent = 11.321  Prediction Error = 0.488 
 Percent = 11.321  Prediction Error = 0.4096 
 Percent = 11.415  Prediction Error = 0.4096 
 Percent = 11.415  Prediction Error = 0.3311 
 Percent = 11.526  Prediction Error = 0.3311 
 Percent = 11.526  Prediction Error = 0.2526 
 Percent = 11.654  Prediction Error = 0.2526 
 Percent = 11.654  Prediction Error = 0.1742 
 Percent = 11.797  Prediction Error = 0.1742 
 Percent = 11.797  Prediction Error = 0.0957 
 Percent = 11.955  Prediction Error = 0.0957 
 Percent = 11.955  Prediction Error = 0.0173 
 Percent = 12.128  Prediction Error = 0.0173 
 Percent = 12.128  Prediction Error = -0.061 
 Percent = 12.315  Prediction Error = -0.061 
 Percent = 12.315  Prediction Error = -0.14 
 Percent = 12.515  Prediction Error = -0.14 
 Percent = 12.515  Prediction Error = -0.218 
 Percent = 12.726  Prediction Error = -0.218 
 Percent = 12.726  Prediction Error = -0.297 
 Percent = 12.947  Prediction Error = -0.297 
 Percent = 12.947  Prediction Error = -0.375 
 Percent = 13.177  Prediction Error = -0.375 
 Percent = 13.177  Prediction Error = -0.846 
 Percent = 14.655  Prediction Error = -0.846 
 Percent = 14.655  Prediction Error = -1.003 
 Percent = 15.14  Prediction Error = -1.003 
 Percent = 15.14  Prediction Error = -1.081 
 Percent = 15.371  Prediction Error = -1.081 
 Percent = 15.371  Prediction Error = -1.16 
 Percent = 15.593  Prediction Error = -1.16 
 Percent = 15.593  Prediction Error = -1.238 
 Percent = 15.802  Prediction Error = -1.238 
 Percent = 15.802  Prediction Error = -1.316 
 Percent = 15.996  Prediction Error = -1.316 
 Percent = 15.996  Prediction Error = -1.395 
 Percent = 16.174  Prediction Error = -1.395 
 Percent = 16.174  Prediction Error = -1.473 
 Percent = 16.333  Prediction Error = -1.473 
 Percent = 16.333  Prediction Error = -1.552 
 Percent = 16.472  Prediction Error = -1.552 
 Percent = 16.472  Prediction Error = -1.63 
 Percent = 16.588  Prediction Error = -1.63 
 Percent = 16.588  Prediction Error = -1.709 
 Percent = 16.679  Prediction Error = -1.709 
 Percent = 16.679  Prediction Error = -1.787 
 Percent = 16.745  Prediction Error = -1.787 
 Percent = 16.745  Prediction Error = -1.866 
 Percent = 16.783  Prediction Error = -1.866 
 Percent = 16.783  Prediction Error = -1.944 
 Percent = 16.793  Prediction Error = -1.944 
 Percent = 16.793  Prediction Error = -2.023 
 Percent = 16.774  Prediction Error = -2.023 
 Percent = 16.774  Prediction Error = -2.101 
 Percent = 16.724  Prediction Error = -2.101 
 Percent = 16.724  Prediction Error = -2.179 
 Percent = 16.644  Prediction Error = -2.179 
 Percent = 16.644  Prediction Error = -2.258 
 Percent = 16.532  Prediction Error = -2.258 
 Percent = 16.532  Prediction Error = -2.336 
 Percent = 16.39  Prediction Error = -2.336 
 Percent = 16.39  Prediction Error = -2.415 
 Percent = 16.217  Prediction Error = -2.415 
 Percent = 16.217  Prediction Error = -2.493 
 Percent = 16.015  Prediction Error = -2.493 
 Percent = 16.015  Prediction Error = -2.572 
 Percent = 15.783  Prediction Error = -2.572 
 Percent = 15.783  Prediction Error = -2.65 
 Percent = 15.523  Prediction Error = -2.65 
 Percent = 15.523  Prediction Error = -2.729 
 Percent = 15.236  Prediction Error = -2.729 
 Percent = 15.236  Prediction Error = -2.807 
 Percent = 14.924  Prediction Error = -2.807 
 Percent = 14.924  Prediction Error = -2.886 
 Percent = 14.589  Prediction Error = -2.886 
 Percent = 14.589  Prediction Error = -2.964 
 Percent = 14.232  Prediction Error = -2.964 
 Percent = 14.232  Prediction Error = -3.042 
 Percent = 13.856  Prediction Error = -3.042 
 Percent = 13.856  Prediction Error = -3.121 
 Percent = 13.462  Prediction Error = -3.121 
 Percent = 13.462  Prediction Error = -3.199 
 Percent = 13.053  Prediction Error = -3.199 
 Percent = 13.053  Prediction Error = -3.278 
 Percent = 12.632  Prediction Error = -3.278 
 Percent = 12.632  Prediction Error = -3.749 
 Percent = 9.9663  Prediction Error = -3.749 
 Percent = 9.9663  Prediction Error = -3.984 
 Percent = 8.6418  Prediction Error = -3.984 
 Percent = 8.6418  Prediction Error = -4.141 
 Percent = 7.7947  Prediction Error = -4.141 
 Percent = 7.7947  Prediction Error = -4.298 
 Percent = 6.9883  Prediction Error = -4.298 
 Percent = 6.9883  Prediction Error = -4.376 
 Percent = 6.6027  Prediction Error = -4.376 
 Percent = 6.6027  Prediction Error = -4.455 
 Percent = 6.2298  Prediction Error = -4.455 
 Percent = 6.2298  Prediction Error = -4.533 
 Percent = 5.8701  Prediction Error = -4.533 
 Percent = 5.8701  Prediction Error = -4.612 
 Percent = 5.524  Prediction Error = -4.612 
 Percent = 5.524  Prediction Error = -4.69 
 Percent = 5.1917  Prediction Error = -4.69 
 Percent = 5.1917  Prediction Error = -4.768 
 Percent = 4.8732  Prediction Error = -4.768 
 Percent = 4.8732  Prediction Error = -4.847 
 Percent = 4.5687  Prediction Error = -4.847 
 Percent = 4.5687  Prediction Error = -4.925 
 Percent = 4.2779  Prediction Error = -4.925 
 Percent = 4.2779  Prediction Error = -5.004 
 Percent = 4.0007  Prediction Error = -5.004 
 Percent = 4.0007  Prediction Error = -5.082 
 Percent = 3.737  Prediction Error = -5.082 
 Percent = 3.737  Prediction Error = -5.161 
 Percent = 3.4863  Prediction Error = -5.161 
 Percent = 3.4863  Prediction Error = -5.239 
 Percent = 3.2483  Prediction Error = -5.239 
 Percent = 3.2483  Prediction Error = -5.318 
 Percent = 3.0226  Prediction Error = -5.318 
 Percent = 3.0226  Prediction Error = -5.396 
 Percent = 2.8089  Prediction Error = -5.396 
 Percent = 2.8089  Prediction Error = -5.475 
 Percent = 2.6068  Prediction Error = -5.475 
 Percent = 2.6068  Prediction Error = -5.553 
 Percent = 2.4158  Prediction Error = -5.553 
 Percent = 2.4158  Prediction Error = -5.631 
 Percent = 2.2354  Prediction Error = -5.631 
 Percent = 2.2354  Prediction Error = -5.71 
 Percent = 2.0654  Prediction Error = -5.71 
 Percent = 2.0654  Prediction Error = -5.788 
 Percent = 1.9052  Prediction Error = -5.788 
 Percent = 1.9052  Prediction Error = -5.867 
 Percent = 1.7545  Prediction Error = -5.867 
 Percent = 1.7545  Prediction Error = -5.945 
 Percent = 1.6129  Prediction Error = -5.945 
 Percent = 1.6129  Prediction Error = -6.024 
 Percent = 1.48  Prediction Error = -6.024 
 Percent = 1.48  Prediction Error = -6.102 
 Percent = 1.3555  Prediction Error = -6.102 
 Percent = 1.3555  Prediction Error = -6.181 
 Percent = 1.2389  Prediction Error = -6.181 
 Percent = 1.2389  Prediction Error = -6.259 
 Percent = 1.1301  Prediction Error = -6.259 
 Percent = 1.1301  Prediction Error = -6.338 
 Percent = 1.0285  Prediction Error = -6.338 
 Percent = 1.0285  Prediction Error = -6.416 
 Percent = 0.934  Prediction Error = -6.416 
 Percent = 0.934  Prediction Error = -6.494 
 Percent = 0.8463  Prediction Error = -6.494 
 Percent = 0.8463  Prediction Error = -6.573 
 Percent = 0.7649  Prediction Error = -6.573 
 Percent = 0.7649  Prediction Error = -6.651 
 Percent = 0.6896  Prediction Error = -6.651 
 Percent = 0.6896  Prediction Error = -6.73 
 Percent = 0.6202  Prediction Error = -6.73 
 Percent = 0.6202  Prediction Error = -6.808 
 Percent = 0.5563  Prediction Error = -6.808 
 Percent = 0.5563  Prediction Error = -6.887 
 Percent = 0.4976  Prediction Error = -6.887 
 Percent = 0.4976  Prediction Error = -6.965 
 Percent = 0.4439  Prediction Error = -6.965 
 Percent = 0.4439  Prediction Error = -7.044 
 Percent = 0.3948  Prediction Error = -7.044 
 Percent = 0.3948  Prediction Error = -7.122 
 Percent = 0.3502  Prediction Error = -7.122 
 Percent = 0.3502  Prediction Error = -7.201 
 Percent = 0.3097  Prediction Error = -7.201 
 Percent = 0.3097  Prediction Error = -7.279 
 Percent = 0.2731  Prediction Error = -7.279 
 Percent = 0.2731  Prediction Error = -7.357 
 Percent = 0.24  Prediction Error = -7.357 
 Percent = 0.24  Prediction Error = -7.436 
 Percent = 0.2103  Prediction Error = -7.436 
 Percent = 0.2103  Prediction Error = -7.514 
 Percent = 0.1837  Prediction Error = -7.514 
 Percent = 0.1837  Prediction Error = -7.593 
 Percent = 0.16  Prediction Error = -7.593 
 Percent = 0.16  Prediction Error = -7.671 
 Percent = 0.1388  Prediction Error = -7.671 
 Percent = 0.1388  Prediction Error = -7.75 
 Percent = 0.1201  Prediction Error = -7.75 
 Percent = 0.1201  Prediction Error = -7.828 
 Percent = 0.1035  Prediction Error = -7.828 
 Percent = 0.1035  Prediction Error = -7.907 
 Percent = 0.089  Prediction Error = -7.907 
 Percent = 0.089  Prediction Error = -7.985 
 Percent = 0.0762  Prediction Error = -7.985 
 Percent = 0.0762  Prediction Error = -8.064 
 Percent = 0.065  Prediction Error = -8.064 
 Percent = 0.065  Prediction Error = -8.142 
 Percent = 0.0553  Prediction Error = -8.142 
 Percent = 0.0553  Prediction Error = -8.22 
 Percent = 0.0469  Prediction Error = 7.33 
 Percent = 0.2104  Prediction Error = 7.2534 
 Percent = 0.2303  Prediction Error = 7.2534 
 Percent = 0.2303  Prediction Error = 7.1768 
 Percent = 0.2519  Prediction Error = 7.1768 
 Percent = 0.2519  Prediction Error = 7.1002 
 Percent = 0.2752  Prediction Error = 7.1002 
 Percent = 0.2752  Prediction Error = 7.0236 
 Percent = 0.3004  Prediction Error = 7.0236 
 Percent = 0.3004  Prediction Error = 6.947 
 Percent = 0.3277  Prediction Error = 6.947 
 Percent = 0.3277  Prediction Error = 6.8704 
 Percent = 0.3571  Prediction Error = 6.8704 
 Percent = 0.3571  Prediction Error = 6.7938 
 Percent = 0.3887  Prediction Error = 6.7938 
 Percent = 0.3887  Prediction Error = 6.7172 
 Percent = 0.4228  Prediction Error = 6.7172 
 Percent = 0.4228  Prediction Error = 6.6406 
 Percent = 0.4594  Prediction Error = 6.6406 
 Percent = 0.4594  Prediction Error = 6.564 
 Percent = 0.4988  Prediction Error = 6.564 
 Percent = 0.4988  Prediction Error = 6.4874 
 Percent = 0.541  Prediction Error = 6.4874 
 Percent = 0.541  Prediction Error = 6.4108 
 Percent = 0.5863  Prediction Error = 6.4108 
 Percent = 0.5863  Prediction Error = 6.3342 
 Percent = 0.6347  Prediction Error = 6.3342 
 Percent = 0.6347  Prediction Error = 6.2576 
 Percent = 0.6866  Prediction Error = 6.2576 
 Percent = 0.6866  Prediction Error = 6.181 
 Percent = 0.742  Prediction Error = 6.181 
 Percent = 0.742  Prediction Error = 6.1044 
 Percent = 0.8011  Prediction Error = 6.1044 
 Percent = 0.8011  Prediction Error = 6.0278 
 Percent = 0.8641  Prediction Error = 6.0278 
 Percent = 0.8641  Prediction Error = 5.9512 
 Percent = 0.9313  Prediction Error = 5.9512 
 Percent = 0.9313  Prediction Error = 5.8746 
 Percent = 1.0027  Prediction Error = 5.8746 
 Percent = 1.0027  Prediction Error = 5.798 
 Percent = 1.0787  Prediction Error = 5.798 
 Percent = 1.0787  Prediction Error = 5.7214 
 Percent = 1.1593  Prediction Error = 5.7214 
 Percent = 1.1593  Prediction Error = 5.6448 
 Percent = 1.2448  Prediction Error = 5.6448 
 Percent = 1.2448  Prediction Error = 5.5682 
 Percent = 1.3354  Prediction Error = 5.5682 
 Percent = 1.3354  Prediction Error = 5.4916 
 Percent = 1.4313  Prediction Error = 5.4916 
 Percent = 1.4313  Prediction Error = 5.415 
 Percent = 1.5326  Prediction Error = 5.415 
 Percent = 1.5326  Prediction Error = 5.3384 
 Percent = 1.6396  Prediction Error = 5.3384 
 Percent = 1.6396  Prediction Error = 5.2618 
 Percent = 1.7525  Prediction Error = 5.2618 
 Percent = 1.7525  Prediction Error = 5.1852 
 Percent = 1.8714  Prediction Error = 5.1852 
 Percent = 1.8714  Prediction Error = 5.1086 
 Percent = 1.9966  Prediction Error = 5.1086 
 Percent = 1.9966  Prediction Error = 5.032 
 Percent = 2.1282  Prediction Error = 5.032 
 Percent = 2.1282  Prediction Error = 4.9554 
 Percent = 2.2663  Prediction Error = 4.9554 
 Percent = 2.2663  Prediction Error = 4.8788 
 Percent = 2.4112  Prediction Error = 4.8788 
 Percent = 2.4112  Prediction Error = 4.8022 
 Percent = 2.5631  Prediction Error = 4.8022 
 Percent = 2.5631  Prediction Error = 4.7256 
 Percent = 2.722  Prediction Error = 4.7256 
 Percent = 2.722  Prediction Error = 4.649 
 Percent = 2.888  Prediction Error = 4.649 
 Percent = 2.888  Prediction Error = 4.5724 
 Percent = 3.0615  Prediction Error = 4.5724 
 Percent = 3.0615  Prediction Error = 4.4958 
 Percent = 3.2423  Prediction Error = 4.4958 
 Percent = 3.2423  Prediction Error = 4.4192 
 Percent = 3.4307  Prediction Error = 4.4192 
 Percent = 3.4307  Prediction Error = 4.3426 
 Percent = 3.6267  Prediction Error = 4.3426 
 Percent = 3.6267  Prediction Error = 4.266 
 Percent = 3.8303  Prediction Error = 4.266 
 Percent = 3.8303  Prediction Error = 4.1894 
 Percent = 4.0417  Prediction Error = 4.1894 
 Percent = 4.0417  Prediction Error = 4.1128 
 Percent = 4.2609  Prediction Error = 4.1128 
 Percent = 4.2609  Prediction Error = 4.0362 
 Percent = 4.4878  Prediction Error = 4.0362 
 Percent = 4.4878  Prediction Error = 3.9596 
 Percent = 4.7224  Prediction Error = 3.9596 
 Percent = 4.7224  Prediction Error = 3.883 
 Percent = 4.9647  Prediction Error = 3.883 
 Percent = 4.9647  Prediction Error = 3.7298 
 Percent = 5.4723  Prediction Error = 3.7298 
 Percent = 5.4723  Prediction Error = 3.5766 
 Percent = 6.0096  Prediction Error = 3.5766 
 Percent = 6.0096  Prediction Error = 3.4234 
 Percent = 6.5755  Prediction Error = 3.4234 
 Percent = 6.5755  Prediction Error = 3.2702 
 Percent = 7.1683  Prediction Error = 3.2702 
 Percent = 7.1683  Prediction Error = 3.117 
 Percent = 7.7859  Prediction Error = 3.117 
 Percent = 7.7859  Prediction Error = 1.968 
 Percent = 12.872  Prediction Error = 1.968 
 Percent = 12.872  Prediction Error = 1.7382 
 Percent = 13.885  Prediction Error = 1.7382 
 Percent = 13.885  Prediction Error = 1.585 
 Percent = 14.538  Prediction Error = 1.585 
 Percent = 14.538  Prediction Error = 1.4318 
 Percent = 15.165  Prediction Error = 1.4318 
 Percent = 15.165  Prediction Error = 1.2786 
 Percent = 15.761  Prediction Error = 1.2786 
 Percent = 15.761  Prediction Error = 1.202 
 Percent = 16.046  Prediction Error = 1.202 
 Percent = 16.046  Prediction Error = 1.1254 
 Percent = 16.321  Prediction Error = 1.1254 
 Percent = 16.321  Prediction Error = 1.0488 
 Percent = 16.585  Prediction Error = 1.0488 
 Percent = 16.585  Prediction Error = 0.9722 
 Percent = 16.838  Prediction Error = 0.9722 
 Percent = 16.838  Prediction Error = 0.8956 
 Percent = 17.08  Prediction Error = 0.8956 
 Percent = 17.08  Prediction Error = 0.819 
 Percent = 17.309  Prediction Error = 0.819 
 Percent = 17.309  Prediction Error = 0.7424 
 Percent = 17.525  Prediction Error = 0.7424 
 Percent = 17.525  Prediction Error = 0.6658 
 Percent = 17.727  Prediction Error = 0.6658 
 Percent = 17.727  Prediction Error = 0.5892 
 Percent = 17.915  Prediction Error = 0.5892 
 Percent = 17.915  Prediction Error = 0.5126 
 Percent = 18.089  Prediction Error = 0.5126 
 Percent = 18.089  Prediction Error = 0.436 
 Percent = 18.247  Prediction Error = 0.436 
 Percent = 18.247  Prediction Error = 0.3594 
 Percent = 18.39  Prediction Error = 0.3594 
 Percent = 18.39  Prediction Error = 0.2828 
 Percent = 18.517  Prediction Error = 0.2828 
 Percent = 18.517  Prediction Error = 0.2062 
 Percent = 18.628  Prediction Error = 0.2062 
 Percent = 18.628  Prediction Error = 0.1296 
 Percent = 18.723  Prediction Error = 0.1296 
 Percent = 18.723  Prediction Error = 0.053 
 Percent = 18.8  Prediction Error = 0.053 
 Percent = 18.8  Prediction Error = -0.024 
 Percent = 18.861  Prediction Error = -0.024 
 Percent = 18.861  Prediction Error = -0.1 
 Percent = 18.904  Prediction Error = -0.1 
 Percent = 18.904  Prediction Error = -0.177 
 Percent = 18.93  Prediction Error = -0.177 
 Percent = 18.93  Prediction Error = -0.253 
 Percent = 18.939  Prediction Error = -0.253 
 Percent = 18.939  Prediction Error = -0.33 
 Percent = 18.93  Prediction Error = -0.33 
 Percent = 18.93  Prediction Error = -0.407 
 Percent = 18.904  Prediction Error = -0.407 
 Percent = 18.904  Prediction Error = -0.483 
 Percent = 18.861  Prediction Error = -0.483 
 Percent = 18.861  Prediction Error = -0.56 
 Percent = 18.8  Prediction Error = -0.56 
 Percent = 18.8  Prediction Error = -0.636 
 Percent = 18.723  Prediction Error = -0.636 
 Percent = 18.723  Prediction Error = -0.713 
 Percent = 18.628  Prediction Error = -0.713 
 Percent = 18.628  Prediction Error = -0.79 
 Percent = 18.517  Prediction Error = -0.79 
 Percent = 18.517  Prediction Error = -0.866 
 Percent = 18.39  Prediction Error = -0.866 
 Percent = 18.39  Prediction Error = -0.943 
 Percent = 18.247  Prediction Error = -0.943 
 Percent = 18.247  Prediction Error = -1.019 
 Percent = 18.089  Prediction Error = -1.019 
 Percent = 18.089  Prediction Error = -1.096 
 Percent = 17.915  Prediction Error = -1.096 
 Percent = 17.915  Prediction Error = -1.173 
 Percent = 17.727  Prediction Error = -1.173 
 Percent = 17.727  Prediction Error = -1.249 
 Percent = 17.525  Prediction Error = -1.249 
 Percent = 17.525  Prediction Error = -1.326 
 Percent = 17.309  Prediction Error = -1.326 
 Percent = 17.309  Prediction Error = -1.402 
 Percent = 17.08  Prediction Error = -1.402 
 Percent = 17.08  Prediction Error = -1.479 
 Percent = 16.838  Prediction Error = -1.479 
 Percent = 16.838  Prediction Error = -1.556 
 Percent = 16.585  Prediction Error = -1.556 
 Percent = 16.585  Prediction Error = -1.632 
 Percent = 16.321  Prediction Error = -1.632 
 Percent = 16.321  Prediction Error = -1.709 
 Percent = 16.046  Prediction Error = -1.709 
 Percent = 16.046  Prediction Error = -1.785 
 Percent = 15.761  Prediction Error = -1.785 
 Percent = 15.761  Prediction Error = -1.939 
 Percent = 15.165  Prediction Error = -1.939 
 Percent = 15.165  Prediction Error = -2.092 
 Percent = 14.538  Prediction Error = -2.092 
 Percent = 14.538  Prediction Error = -3.011 
 Percent = 10.445  Prediction Error = -3.011 
 Percent = 10.445  Prediction Error = -3.317 
 Percent = 9.0846  Prediction Error = -3.317 
 Percent = 9.0846  Prediction Error = -3.547 
 Percent = 8.1032  Prediction Error = -3.547 
 Percent = 8.1032  Prediction Error = -3.7 
 Percent = 7.4742  Prediction Error = -3.7 
 Percent = 7.4742  Prediction Error = -3.854 
 Percent = 6.8687  Prediction Error = -3.854 
 Percent = 6.8687  Prediction Error = -4.007 
 Percent = 6.2891  Prediction Error = -4.007 
 Percent = 6.2891  Prediction Error = -4.16 
 Percent = 5.7373  Prediction Error = -4.16 
 Percent = 5.7373  Prediction Error = -4.313 
 Percent = 5.2147  Prediction Error = -4.313 
 Percent = 5.2147  Prediction Error = -4.39 
 Percent = 4.9647  Prediction Error = -4.39 
 Percent = 4.9647  Prediction Error = -4.466 
 Percent = 4.7224  Prediction Error = -4.466 
 Percent = 4.7224  Prediction Error = -4.543 
 Percent = 4.4878  Prediction Error = -4.543 
 Percent = 4.4878  Prediction Error = -4.62 
 Percent = 4.2609  Prediction Error = -4.62 
 Percent = 4.2609  Prediction Error = -4.696 
 Percent = 4.0417  Prediction Error = -4.696 
 Percent = 4.0417  Prediction Error = -4.773 
 Percent = 3.8303  Prediction Error = -4.773 
 Percent = 3.8303  Prediction Error = -4.849 
 Percent = 3.6267  Prediction Error = -4.849 
 Percent = 3.6267  Prediction Error = -4.926 
 Percent = 3.4307  Prediction Error = -4.926 
 Percent = 3.4307  Prediction Error = -5.003 
 Percent = 3.2423  Prediction Error = -5.003 
 Percent = 3.2423  Prediction Error = -5.079 
 Percent = 3.0615  Prediction Error = -5.079 
 Percent = 3.0615  Prediction Error = -5.156 
 Percent = 2.888  Prediction Error = -5.156 
 Percent = 2.888  Prediction Error = -5.232 
 Percent = 2.722  Prediction Error = -5.232 
 Percent = 2.722  Prediction Error = -5.309 
 Percent = 2.5631  Prediction Error = -5.309 
 Percent = 2.5631  Prediction Error = -5.386 
 Percent = 2.4112  Prediction Error = -5.386 
 Percent = 2.4112  Prediction Error = -5.462 
 Percent = 2.2663  Prediction Error = -5.462 
 Percent = 2.2663  Prediction Error = -5.539 
 Percent = 2.1282  Prediction Error = -5.539 
 Percent = 2.1282  Prediction Error = -5.615 
 Percent = 1.9966  Prediction Error = -5.615 
 Percent = 1.9966  Prediction Error = -5.692 
 Percent = 1.8714  Prediction Error = -5.692 
 Percent = 1.8714  Prediction Error = -5.769 
 Percent = 1.7525  Prediction Error = -5.769 
 Percent = 1.7525  Prediction Error = -5.845 
 Percent = 1.6396  Prediction Error = -5.845 
 Percent = 1.6396  Prediction Error = -5.922 
 Percent = 1.5326  Prediction Error = -5.922 
 Percent = 1.5326  Prediction Error = -5.998 
 Percent = 1.4313  Prediction Error = -5.998 
 Percent = 1.4313  Prediction Error = -6.075 
 Percent = 1.3354  Prediction Error = -6.075 
 Percent = 1.3354  Prediction Error = -6.152 
 Percent = 1.2448  Prediction Error = -6.152 
 Percent = 1.2448  Prediction Error = -6.228 
 Percent = 1.1593  Prediction Error = -6.228 
 Percent = 1.1593  Prediction Error = -6.305 
 Percent = 1.0787  Prediction Error = -6.305 
 Percent = 1.0787  Prediction Error = -6.381 
 Percent = 1.0027  Prediction Error = -6.381 
 Percent = 1.0027  Prediction Error = -6.458 
 Percent = 0.9313  Prediction Error = -6.458 
 Percent = 0.9313  Prediction Error = -6.535 
 Percent = 0.8641  Prediction Error = -6.535 
 Percent = 0.8641  Prediction Error = -6.611 
 Percent = 0.8011  Prediction Error = -6.611 
 Percent = 0.8011  Prediction Error = -6.688 
 Percent = 0.742  Prediction Error = -6.688 
 Percent = 0.742  Prediction Error = -6.764 
 Percent = 0.6866  Prediction Error = -6.764 
 Percent = 0.6866  Prediction Error = -6.841 
 Percent = 0.6347  Prediction Error = -6.841 
 Percent = 0.6347  Prediction Error = -6.918 
 Percent = 0.5863  Prediction Error = -6.918 
 Percent = 0.5863  Prediction Error = -6.994 
 Percent = 0.541  Prediction Error = -6.994 
 Percent = 0.541  Prediction Error = -7.071 
 Percent = 0.4988  Prediction Error = -7.071 
 Percent = 0.4988  Prediction Error = -7.147 
 Percent = 0.4594  Prediction Error = -7.147 
 Percent = 0.4594  Prediction Error = -7.224 
 Percent = 0.4228  Prediction Error = -7.224 
 Percent = 0.4228  Prediction Error = -7.301 
 Percent = 0.3887  Prediction Error = -7.301 
 Percent = 0.3887  Prediction Error = -7.377 
 Percent = 0.3571  Prediction Error = -7.377 
 Percent = 0.3571  Prediction Error = -7.454 
 Percent = 0.3277  Prediction Error = -7.454 
 Percent = 0.3277  Prediction Error = -7.53 
 Percent = 0.3004  Prediction Error = -7.53 
 Percent = 0.3004  Prediction Error = -7.607 
 Percent = 0.2752  Prediction Error = -7.607 
 Percent = 0.2752  Prediction Error = -7.684 
 Percent = 0.2519  Prediction Error = -7.684 
 Percent = 0.2519  Prediction Error = -7.76 
 Percent = 0.2303  Prediction Error = -7.76 
 Percent = 0.2303  Prediction Error = -7.837 
 Percent = 0.2104  Prediction Error = 4.8 
 Percent = 1.7778  Prediction Error = 4.8 
 Percent = 1.7778  Prediction Error = 3.6 
 Percent = 9.3333  Prediction Error = 3.6 
 Percent = 9.3333  Prediction Error = 2.4 
 Percent = 19.556  Prediction Error = 2.4 
 Percent = 19.556  Prediction Error = 1.2 
 Percent = 6.2222  Prediction Error = 1.2 
 Percent = 6.2222  Prediction Error = 0 
 Percent = 11.556  Prediction Error = 0 
 Percent = 11.556  Prediction Error = -1.2 
 Percent = 17.333  Prediction Error = -1.2 
 Percent = 17.333  Prediction Error = -2.4 
 Percent = 24  Prediction Error = -2.4 
 Percent = 24  Prediction Error = -3.6 
 Percent = 6.2222  Prediction Error = -3.6 
 Percent = 6.2222  Prediction Error = -4.8 
 Percent = 4  Prediction Error = -4.8 
 Percent = 4  Quantile = 2.7733 
 Residual = 5.0384  Quantile = 2.4464 
 Residual = 5.0243  Quantile = 2.2684 
 Residual = 5.0139  Quantile = 2.1421 
 Residual = 5.0113  Quantile = 2.0429 
 Residual = 3.9684  Quantile = 1.9604 
 Residual = 3.9433  Quantile = 1.8895 
 Residual = 3.8428  Quantile = 1.827 
 Residual = 3.8152  Quantile = 1.7709 
 Residual = 3.7825  Quantile = 1.7198 
 Residual = 3.692  Quantile = 1.6729 
 Residual = 3.516  Quantile = 1.6294 
 Residual = 3.4773  Quantile = 1.5888 
 Residual = 3.4115  Quantile = 1.5507 
 Residual = 3.4041  Quantile = 1.5147 
 Residual = 3.4003  Quantile = 1.4805 
 Residual = 3.3909  Quantile = 1.448 
 Residual = 3.276  Quantile = 1.417 
 Residual = 3.2531  Quantile = 1.3872 
 Residual = 3.2338  Quantile = 1.3587 
 Residual = 3.1834  Quantile = 1.3312 
 Residual = 3.1577  Quantile = 1.3047 
 Residual = 3.1368  Quantile = 1.279 
 Residual = 3.1279  Quantile = 1.2542 
 Residual = 3.0715  Quantile = 1.2301 
 Residual = 3.0257  Quantile = 1.2068 
 Residual = 2.9983  Quantile = 1.184 
 Residual = 2.9956  Quantile = 1.1619 
 Residual = 2.992  Quantile = 1.1403 
 Residual = 2.9665  Quantile = 1.1192 
 Residual = 2.9061  Quantile = 1.0987 
 Residual = 2.9  Quantile = 1.0785 
 Residual = 2.89  Quantile = 1.0588 
 Residual = 2.875  Quantile = 1.0395 
 Residual = 2.8515  Quantile = 1.0206 
 Residual = 2.8312  Quantile = 1.0021 
 Residual = 2.7954  Quantile = 0.9838 
 Residual = 2.7831  Quantile = 0.9659 
 Residual = 2.7815  Quantile = 0.9483 
 Residual = 2.7755  Quantile = 0.931 
 Residual = 2.7252  Quantile = 0.914 
 Residual = 2.7083  Quantile = 0.8972 
 Residual = 2.6926  Quantile = 0.8807 
 Residual = 2.6865  Quantile = 0.8644 
 Residual = 2.6647  Quantile = 0.8484 
 Residual = 2.6523  Quantile = 0.8325 
 Residual = 2.625  Quantile = 0.8169 
 Residual = 2.5889  Quantile = 0.8015 
 Residual = 2.5534  Quantile = 0.7862 
 Residual = 2.5347  Quantile = 0.7711 
 Residual = 2.5318  Quantile = 0.7562 
 Residual = 2.5111  Quantile = 0.7415 
 Residual = 2.5102  Quantile = 0.7269 
 Residual = 2.5098  Quantile = 0.7125 
 Residual = 2.5097  Quantile = 0.6983 
 Residual = 2.4428  Quantile = 0.6841 
 Residual = 2.4367  Quantile = 0.6701 
 Residual = 2.4182  Quantile = 0.6563 
 Residual = 2.3631  Quantile = 0.6425 
 Residual = 2.3478  Quantile = 0.6289 
 Residual = 2.2726  Quantile = 0.6154 
 Residual = 2.2115  Quantile = 0.602 
 Residual = 2.1653  Quantile = 0.5887 
 Residual = 2.0844  Quantile = 0.5755 
 Residual = 2.0744  Quantile = 0.5625 
 Residual = 1.8666  Quantile = 0.5495 
 Residual = 1.8663  Quantile = 0.5366 
 Residual = 1.8518  Quantile = 0.5238 
 Residual = 1.8112  Quantile = 0.511 
 Residual = 1.8106  Quantile = 0.4984 
 Residual = 1.6494  Quantile = 0.4858 
 Residual = 1.6445  Quantile = 0.4734 
 Residual = 1.5397  Quantile = 0.4609 
 Residual = 1.481  Quantile = 0.4486 
 Residual = 1.3864  Quantile = 0.4363 
 Residual = 1.379  Quantile = 0.4241 
 Residual = 1.2751  Quantile = 0.412 
 Residual = 1.2491  Quantile = 0.3999 
 Residual = 1.0372  Quantile = 0.3879 
 Residual = 1.0106  Quantile = 0.3759 
 Residual = 0.8754  Quantile = 0.364 
 Residual = 0.8643  Quantile = 0.3521 
 Residual = 0.8502  Quantile = 0.3403 
 Residual = 0.6715  Quantile = 0.3285 
 Residual = 0.5227  Quantile = 0.3168 
 Residual = 0.5093  Quantile = 0.3051 
 Residual = 0.3812  Quantile = 0.2935 
 Residual = 0.3592  Quantile = 0.2819 
 Residual = 0.3491  Quantile = 0.2703 
 Residual = 0.3016  Quantile = 0.2588 
 Residual = 0.1291  Quantile = 0.2473 
 Residual = 0.0562  Quantile = 0.2359 
 Residual = 0.0422  Quantile = 0.2244 
 Residual = 0.0174  Quantile = 0.213 
 Residual = 0.0126  Quantile = 0.2017 
 Residual = 0.0104  Quantile = 0.1903 
 Residual = 0.01  Quantile = 0.179 
 Residual = 0.0087  Quantile = 0.1677 
 Residual = 0.0075  Quantile = 0.1564 
 Residual = -4E-16  Quantile = 0.1452 
 Residual = -0.004  Quantile = 0.1339 
 Residual = -0.011  Quantile = 0.1227 
 Residual = -0.126  Quantile = 0.1115 
 Residual = -0.184  Quantile = 0.1003 
 Residual = -0.246  Quantile = 0.0891 
 Residual = -0.286  Quantile = 0.078 
 Residual = -0.352  Quantile = 0.0668 
 Residual = -0.377  Quantile = 0.0557 
 Residual = -0.484  Quantile = 0.0445 
 Residual = -0.535  Quantile = 0.0334 
 Residual = -0.626  Quantile = 0.0223 
 Residual = -0.656  Quantile = 0.0111 
 Residual = -0.747  Quantile = 0 
 Residual = -0.814  Quantile = -0.011 
 Residual = -0.903  Quantile = -0.022 
 Residual = -0.977  Quantile = -0.033 
 Residual = -1.007  Quantile = -0.045 
 Residual = -1.022  Quantile = -0.056 
 Residual = -1.091  Quantile = -0.067 
 Residual = -1.121  Quantile = -0.078 
 Residual = -1.144  Quantile = -0.089 
 Residual = -1.172  Quantile = -0.1 
 Residual = -1.189  Quantile = -0.112 
 Residual = -1.313  Quantile = -0.123 
 Residual = -1.334  Quantile = -0.134 
 Residual = -1.345  Quantile = -0.145 
 Residual = -1.363  Quantile = -0.156 
 Residual = -1.381  Quantile = -0.168 
 Residual = -1.441  Quantile = -0.179 
 Residual = -1.455  Quantile = -0.19 
 Residual = -1.474  Quantile = -0.202 
 Residual = -1.507  Quantile = -0.213 
 Residual = -1.536  Quantile = -0.224 
 Residual = -1.575  Quantile = -0.236 
 Residual = -1.595  Quantile = -0.247 
 Residual = -1.627  Quantile = -0.259 
 Residual = -1.628  Quantile = -0.27 
 Residual = -1.638  Quantile = -0.282 
 Residual = -1.668  Quantile = -0.293 
 Residual = -1.681  Quantile = -0.305 
 Residual = -1.684  Quantile = -0.317 
 Residual = -1.691  Quantile = -0.329 
 Residual = -1.707  Quantile = -0.34 
 Residual = -1.708  Quantile = -0.352 
 Residual = -1.718  Quantile = -0.364 
 Residual = -1.763  Quantile = -0.376 
 Residual = -1.766  Quantile = -0.388 
 Residual = -1.782  Quantile = -0.4 
 Residual = -1.79  Quantile = -0.412 
 Residual = -1.846  Quantile = -0.424 
 Residual = -1.86  Quantile = -0.436 
 Residual = -1.894  Quantile = -0.449 
 Residual = -1.905  Quantile = -0.461 
 Residual = -1.906  Quantile = -0.473 
 Residual = -1.961  Quantile = -0.486 
 Residual = -1.981  Quantile = -0.498 
 Residual = -2.053  Quantile = -0.511 
 Residual = -2.096  Quantile = -0.524 
 Residual = -2.174  Quantile = -0.537 
 Residual = -2.186  Quantile = -0.549 
 Residual = -2.194  Quantile = -0.562 
 Residual = -2.222  Quantile = -0.576 
 Residual = -2.252  Quantile = -0.589 
 Residual = -2.252  Quantile = -0.602 
 Residual = -2.259  Quantile = -0.615 
 Residual = -2.276  Quantile = -0.629 
 Residual = -2.278  Quantile = -0.643 
 Residual = -2.293  Quantile = -0.656 
 Residual = -2.314  Quantile = -0.67 
 Residual = -2.319  Quantile = -0.684 
 Residual = -2.335  Quantile = -0.698 
 Residual = -2.351  Quantile = -0.713 
 Residual = -2.401  Quantile = -0.727 
 Residual = -2.435  Quantile = -0.742 
 Residual = -2.486  Quantile = -0.756 
 Residual = -2.487  Quantile = -0.771 
 Residual = -2.495  Quantile = -0.786 
 Residual = -2.499  Quantile = -0.801 
 Residual = -2.501  Quantile = -0.817 
 Residual = -2.501  Quantile = -0.833 
 Residual = -2.52  Quantile = -0.848 
 Residual = -2.542  Quantile = -0.864 
 Residual = -2.555  Quantile = -0.881 
 Residual = -2.583  Quantile = -0.897 
 Residual = -2.604  Quantile = -0.914 
 Residual = -2.606  Quantile = -0.931 
 Residual = -2.633  Quantile = -0.948 
 Residual = -2.644  Quantile = -0.966 
 Residual = -2.654  Quantile = -0.984 
 Residual = -2.703  Quantile = -1.002 
 Residual = -2.726  Quantile = -1.021 
 Residual = -2.753  Quantile = -1.04 
 Residual = -2.762  Quantile = -1.059 
 Residual = -2.776  Quantile = -1.079 
 Residual = -2.848  Quantile = -1.099 
 Residual = -2.874  Quantile = -1.119 
 Residual = -2.912  Quantile = -1.14 
 Residual = -2.913  Quantile = -1.162 
 Residual = -2.919  Quantile = -1.184 
 Residual = -2.946  Quantile = -1.207 
 Residual = -2.974  Quantile = -1.23 
 Residual = -2.989  Quantile = -1.254 
 Residual = -2.998  Quantile = -1.279 
 Residual = -3.099  Quantile = -1.305 
 Residual = -3.111  Quantile = -1.331 
 Residual = -3.266  Quantile = -1.359 
 Residual = -3.281  Quantile = -1.387 
 Residual = -3.286  Quantile = -1.417 
 Residual = -3.301  Quantile = -1.448 
 Residual = -3.317  Quantile = -1.481 
 Residual = -3.344  Quantile = -1.515 
 Residual = -3.375  Quantile = -1.551 
 Residual = -3.641  Quantile = -1.589 
 Residual = -3.648  Quantile = -1.629 
 Residual = -3.798  Quantile = -1.673 
 Residual = -3.814  Quantile = -1.72 
 Residual = -4.003  Quantile = -1.771 
 Residual = -4.29  Quantile = -1.827 
 Residual = -4.307  Quantile = -1.89 
 Residual = -4.675  Quantile = -1.96 
 Residual = -4.978  Quantile = -2.043 
 Residual = -4.984  Quantile = -2.142 
 Residual = -4.994  Quantile = -2.268 
 Residual = -5  Quantile = -2.446 
 Residual = -5.001  Quantile = -2.773 
 Residual = -5.004  Slope = 2.5278 
 Y = -0.253  Lag = 24 
 ACF = -0.016  Lag = 23 
 ACF = 0.0579  Lag = 22 
 ACF = 0.0865  Lag = 21 
 ACF = 0.0149  Lag = 20 
 ACF = 0.0604  Lag = 19 
 ACF = -0.04  Lag = 18 
 ACF = -0.082  Lag = 17 
 ACF = 0.0062  Lag = 16 
 ACF = -0.144  Lag = 15 
 ACF = -0.068  Lag = 14 
 ACF = -0.136  Lag = 13 
 ACF = -0.108  Lag = 12 
 ACF = -0.091  Lag = 11 
 ACF = -0.114  Lag = 10 
 ACF = 0.0022  Lag = 9 
 ACF = -0.098  Lag = 8 
 ACF = -42E-5  Lag = 7 
 ACF = -0.032  Lag = 6 
 ACF = -0.115  Lag = 5 
 ACF = -0.038  Lag = 4 
 ACF = 0.0992  Lag = 3 
 ACF = 0.0784  Lag = 2 
 ACF = 0.0738  Lag = 1 
 ACF = 0.1149  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.153 
 Upper = 0.1532  Lag = 23 
 Lower = -0.153 
 Upper = 0.1528  Lag = 23 
 Lower = -0.153 
 Upper = 0.1528  Lag = 22 
 Lower = -0.152 
 Upper = 0.1519  Lag = 22 
 Lower = -0.152 
 Upper = 0.1519  Lag = 21 
 Lower = -0.152 
 Upper = 0.1519  Lag = 21 
 Lower = -0.152 
 Upper = 0.1519  Lag = 20 
 Lower = -0.151 
 Upper = 0.1515  Lag = 20 
 Lower = -0.151 
 Upper = 0.1515  Lag = 19 
 Lower = -0.151 
 Upper = 0.1513  Lag = 19 
 Lower = -0.151 
 Upper = 0.1513  Lag = 18 
 Lower = -0.15 
 Upper = 0.1505  Lag = 18 
 Lower = -0.15 
 Upper = 0.1505  Lag = 17 
 Lower = -0.15 
 Upper = 0.1505  Lag = 17 
 Lower = -0.15 
 Upper = 0.1505  Lag = 16 
 Lower = -0.148 
 Upper = 0.148  Lag = 16 
 Lower = -0.148 
 Upper = 0.148  Lag = 15 
 Lower = -0.147 
 Upper = 0.1474  Lag = 15 
 Lower = -0.147 
 Upper = 0.1474  Lag = 14 
 Lower = -0.145 
 Upper = 0.1452  Lag = 14 
 Lower = -0.145 
 Upper = 0.1452  Lag = 13 
 Lower = -0.144 
 Upper = 0.1437  Lag = 13 
 Lower = -0.144 
 Upper = 0.1437  Lag = 12 
 Lower = -0.143 
 Upper = 0.1427  Lag = 12 
 Lower = -0.143 
 Upper = 0.1427  Lag = 11 
 Lower = -0.141 
 Upper = 0.1411  Lag = 11 
 Lower = -0.141 
 Upper = 0.1411  Lag = 10 
 Lower = -0.141 
 Upper = 0.1411  Lag = 10 
 Lower = -0.141 
 Upper = 0.1411  Lag = 9 
 Lower = -0.14 
 Upper = 0.1399  Lag = 9 
 Lower = -0.14 
 Upper = 0.1399  Lag = 8 
 Lower = -0.14 
 Upper = 0.1399  Lag = 8 
 Lower = -0.14 
 Upper = 0.1399  Lag = 7 
 Lower = -0.14 
 Upper = 0.1398  Lag = 7 
 Lower = -0.14 
 Upper = 0.1398  Lag = 6 
 Lower = -0.138 
 Upper = 0.1381  Lag = 6 
 Lower = -0.138 
 Upper = 0.1381  Lag = 5 
 Lower = -0.138 
 Upper = 0.1379  Lag = 5 
 Lower = -0.138 
 Upper = 0.1379  Lag = 4 
 Lower = -0.137 
 Upper = 0.1366  Lag = 4 
 Lower = -0.137 
 Upper = 0.1366  Lag = 3 
 Lower = -0.136 
 Upper = 0.1358  Lag = 3 
 Lower = -0.136 
 Upper = 0.1358  Lag = 2 
 Lower = -0.135 
 Upper = 0.1351  Lag = 2 
 Lower = -0.135 
 Upper = 0.1351  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.088  Lag = 23 
 PACF = 0.0077  Lag = 22 
 PACF = 0.0612  Lag = 21 
 PACF = -0.025  Lag = 20 
 PACF = 0.0415  Lag = 19 
 PACF = -0.041  Lag = 18 
 PACF = -0.099  Lag = 17 
 PACF = 0.0334  Lag = 16 
 PACF = -0.114  Lag = 15 
 PACF = -0.023  Lag = 14 
 PACF = -0.112  Lag = 13 
 PACF = -0.073  Lag = 12 
 PACF = -0.083  Lag = 11 
 PACF = -0.121  Lag = 10 
 PACF = 0.0435  Lag = 9 
 PACF = -0.073  Lag = 8 
 PACF = 0.0188  Lag = 7 
 PACF = -0.015  Lag = 6 
 PACF = -0.124  Lag = 5 
 PACF = -0.067  Lag = 4 
 PACF = 0.0813  Lag = 3 
 PACF = 0.0645  Lag = 2 
 PACF = 0.0614  Lag = 1 
 PACF = 0.1149  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = -1.26  Date_of_death = Jul2019 
 Loess Fit = -1.125  Date_of_death = Jul2019 
 Loess Fit = -1.125  Date_of_death = Jun2019 
 Loess Fit = -0.99  Date_of_death = Jun2019 
 Loess Fit = -0.99  Date_of_death = May2019 
 Loess Fit = -0.867  Date_of_death = May2019 
 Loess Fit = -0.867  Date_of_death = Apr2019 
 Loess Fit = -0.773  Date_of_death = Apr2019 
 Loess Fit = -0.773  Date_of_death = Mar2019 
 Loess Fit = -0.694  Date_of_death = Mar2019 
 Loess Fit = -0.694  Date_of_death = Feb2019 
 Loess Fit = -0.629  Date_of_death = Feb2019 
 Loess Fit = -0.629  Date_of_death = Jan2019 
 Loess Fit = -0.56  Date_of_death = Jan2019 
 Loess Fit = -0.56  Date_of_death = Dec2018 
 Loess Fit = -0.491  Date_of_death = Dec2018 
 Loess Fit = -0.491  Date_of_death = Oct2018 
 Loess Fit = -0.429  Date_of_death = Oct2018 
 Loess Fit = -0.429  Date_of_death = Sep2018 
 Loess Fit = -0.456  Date_of_death = Sep2018 
 Loess Fit = -0.456  Date_of_death = Aug2018 
 Loess Fit = -0.517  Date_of_death = Aug2018 
 Loess Fit = -0.517  Date_of_death = Jul2018 
 Loess Fit = -0.659  Date_of_death = Jul2018 
 Loess Fit = -0.659  Date_of_death = Jun2018 
 Loess Fit = -0.7  Date_of_death = Jun2018 
 Loess Fit = -0.7  Date_of_death = May2018 
 Loess Fit = -0.628  Date_of_death = May2018 
 Loess Fit = -0.628  Date_of_death = Apr2018 
 Loess Fit = -0.556  Date_of_death = Apr2018 
 Loess Fit = -0.556  Date_of_death = Mar2018 
 Loess Fit = -0.378  Date_of_death = Mar2018 
 Loess Fit = -0.378  Date_of_death = Jan2018 
 Loess Fit = -0.175  Date_of_death = Jan2018 
 Loess Fit = -0.175  Date_of_death = Dec2017 
 Loess Fit = -0.011  Date_of_death = Dec2017 
 Loess Fit = -0.011  Date_of_death = Nov2017 
 Loess Fit = 0.151  Date_of_death = Nov2017 
 Loess Fit = 0.151  Date_of_death = Oct2017 
 Loess Fit = 0.3032  Date_of_death = Oct2017 
 Loess Fit = 0.3032  Date_of_death = Sep2017 
 Loess Fit = 0.4554  Date_of_death = Sep2017 
 Loess Fit = 0.4554  Date_of_death = Aug2017 
 Loess Fit = 0.5204  Date_of_death = Aug2017 
 Loess Fit = 0.5204  Date_of_death = Jul2017 
 Loess Fit = 0.5229  Date_of_death = Jul2017 
 Loess Fit = 0.5229  Date_of_death = Jun2017 
 Loess Fit = 0.3577  Date_of_death = Jun2017 
 Loess Fit = 0.3577  Date_of_death = May2017 
 Loess Fit = 0.1407  Date_of_death = May2017 
 Loess Fit = 0.1407  Date_of_death = Mar2017 
 Loess Fit = -0.019  Date_of_death = Mar2017 
 Loess Fit = -0.019  Date_of_death = Feb2017 
 Loess Fit = -0.177  Date_of_death = Feb2017 
 Loess Fit = -0.177  Date_of_death = Jan2017 
 Loess Fit = -0.325  Date_of_death = Jan2017 
 Loess Fit = -0.325  Date_of_death = Dec2016 
 Loess Fit = -0.455  Date_of_death = Dec2016 
 Loess Fit = -0.455  Date_of_death = Nov2016 
 Loess Fit = -0.651  Date_of_death = Nov2016 
 Loess Fit = -0.651  Date_of_death = Oct2016 
 Loess Fit = -0.903  Date_of_death = Oct2016 
 Loess Fit = -0.903  Date_of_death = Sep2016 
 Loess Fit = -0.987  Date_of_death = Sep2016 
 Loess Fit = -0.987  Date_of_death = Aug2016 
 Loess Fit = -1.017  Date_of_death = Aug2016 
 Loess Fit = -1.017  Date_of_death = Jun2016 
 Loess Fit = -1.031  Date_of_death = Jun2016 
 Loess Fit = -1.031  Date_of_death = May2016 
 Loess Fit = -0.79  Date_of_death = May2016 
 Loess Fit = -0.79  Date_of_death = Apr2016 
 Loess Fit = -0.563  Date_of_death = Apr2016 
 Loess Fit = -0.563  Date_of_death = Mar2016 
 Loess Fit = -0.378  Date_of_death = Mar2016 
 Loess Fit = -0.378  Date_of_death = Feb2016 
 Loess Fit = -0.266  Date_of_death = Feb2016 
 Loess Fit = -0.266  Date_of_death = Jan2016 
 Loess Fit = -0.237  Date_of_death = Jan2016 
 Loess Fit = -0.237  Date_of_death = Dec2015 
 Loess Fit = -0.207  Date_of_death = Dec2015 
 Loess Fit = -0.207  Date_of_death = Nov2015 
 Loess Fit = -0.246  Date_of_death = Nov2015 
 Loess Fit = -0.246  Date_of_death = Sep2015 
 Loess Fit = -0.304  Date_of_death = Sep2015 
 Loess Fit = -0.304  Date_of_death = Aug2015 
 Loess Fit = -0.447  Date_of_death = Aug2015 
 Loess Fit = -0.447  Date_of_death = Jul2015 
 Loess Fit = -0.574  Date_of_death = Jul2015 
 Loess Fit = -0.574  Date_of_death = Jun2015 
 Loess Fit = -0.64  Date_of_death = Jun2015 
 Loess Fit = -0.64  Date_of_death = May2015 
 Loess Fit = -0.706  Date_of_death = May2015 
 Loess Fit = -0.706  Date_of_death = Apr2015 
 Loess Fit = -0.677  Date_of_death = Apr2015 
 Loess Fit = -0.677  Date_of_death = Mar2015 
 Loess Fit = -0.561  Date_of_death = Mar2015 
 Loess Fit = -0.561  Date_of_death = Feb2015 
 Loess Fit = -0.335  Date_of_death = Feb2015 
 Loess Fit = -0.335  Date_of_death = Dec2014 
 Loess Fit = -0.07  Date_of_death = Dec2014 
 Loess Fit = -0.07  Date_of_death = Nov2014 
 Loess Fit = 0.1969  Date_of_death = Nov2014 
 Loess Fit = 0.1969  Date_of_death = Oct2014 
 Loess Fit = 0.4636  Date_of_death = Oct2014 
 Loess Fit = 0.4636  Date_of_death = Sep2014 
 Loess Fit = 0.66  Date_of_death = Sep2014 
 Loess Fit = 0.66  Date_of_death = Aug2014 
 Loess Fit = 0.6984  Date_of_death = Aug2014 
 Loess Fit = 0.6984  Date_of_death = Jul2014 
 Loess Fit = 0.6015  Date_of_death = Jul2014 
 Loess Fit = 0.6015  Date_of_death = Jun2014 
 Loess Fit = 0.3789  Date_of_death = Jun2014 
 Loess Fit = 0.3789  Date_of_death = May2014 
 Loess Fit = 0.0941  Date_of_death = May2014 
 Loess Fit = 0.0941  Date_of_death = Apr2014 
 Loess Fit = -0.214  Date_of_death = Apr2014 
 Loess Fit = -0.214  Date_of_death = Feb2014 
 Loess Fit = -0.519  Date_of_death = Feb2014 
 Loess Fit = -0.519  Date_of_death = Jan2014 
 Loess Fit = -0.748  Date_of_death = Jan2014 
 Loess Fit = -0.748  Date_of_death = Dec2013 
 Loess Fit = -0.924  Date_of_death = Dec2013 
 Loess Fit = -0.924  Date_of_death = Nov2013 
 Loess Fit = -0.978  Date_of_death = Nov2013 
 Loess Fit = -0.978  Date_of_death = Oct2013 
 Loess Fit = -0.939  Date_of_death = Oct2013 
 Loess Fit = -0.939  Date_of_death = Sep2013 
 Loess Fit = -0.811  Date_of_death = Sep2013 
 Loess Fit = -0.811  Date_of_death = Aug2013 
 Loess Fit = -0.683  Date_of_death = Aug2013 
 Loess Fit = -0.683  Date_of_death = Jul2013 
 Loess Fit = -0.444  Date_of_death = Jul2013 
 Loess Fit = -0.444  Date_of_death = May2013 
 Loess Fit = -0.181  Date_of_death = May2013 
 Loess Fit = -0.181  Date_of_death = Apr2013 
 Loess Fit = -0.034  Date_of_death = Apr2013 
 Loess Fit = -0.034  Date_of_death = Mar2013 
 Loess Fit = 0.0827  Date_of_death = Mar2013 
 Loess Fit = 0.0827  Date_of_death = Feb2013 
 Loess Fit = 0.0952  Date_of_death = Feb2013 
 Loess Fit = 0.0952  Date_of_death = Jan2013 
 Loess Fit = 0.1077  Date_of_death = Jan2013 
 Loess Fit = 0.1077  Date_of_death = Dec2012 
 Loess Fit = 0.0498  Date_of_death = Dec2012 
 Loess Fit = 0.0498  Date_of_death = Nov2012 
 Loess Fit = -0.057  Date_of_death = Nov2012 
 Loess Fit = -0.057  Date_of_death = Oct2012 
 Loess Fit = -0.199  Date_of_death = Oct2012 
 Loess Fit = -0.199  Date_of_death = Aug2012 
 Loess Fit = -0.348  Date_of_death = Aug2012 
 Loess Fit = -0.348  Date_of_death = Jul2012 
 Loess Fit = -0.376  Date_of_death = Jul2012 
 Loess Fit = -0.376  Date_of_death = Jun2012 
 Loess Fit = -0.403  Date_of_death = Jun2012 
 Loess Fit = -0.403  Date_of_death = May2012 
 Loess Fit = -0.42  Date_of_death = May2012 
 Loess Fit = -0.42  Date_of_death = Apr2012 
 Loess Fit = -0.415  Date_of_death = Apr2012 
 Loess Fit = -0.415  Date_of_death = Mar2012 
 Loess Fit = -0.466  Date_of_death = Mar2012 
 Loess Fit = -0.466  Date_of_death = Feb2012 
 Loess Fit = -0.567  Date_of_death = Feb2012 
 Loess Fit = -0.567  Date_of_death = Jan2012 
 Loess Fit = -0.657  Date_of_death = Jan2012 
 Loess Fit = -0.657  Date_of_death = Dec2011 
 Loess Fit = -0.743  Date_of_death = Dec2011 
 Loess Fit = -0.743  Date_of_death = Oct2011 
 Loess Fit = -0.827  Date_of_death = Oct2011 
 Loess Fit = -0.827  Date_of_death = Sep2011 
 Loess Fit = -0.883  Date_of_death = Sep2011 
 Loess Fit = -0.883  Date_of_death = Aug2011 
 Loess Fit = -0.945  Date_of_death = Aug2011 
 Loess Fit = -0.945  Date_of_death = Jul2011 
 Loess Fit = -1.026  Date_of_death = Jul2011 
 Loess Fit = -1.026  Date_of_death = Jun2011 
 Loess Fit = -0.986  Date_of_death = Jun2011 
 Loess Fit = -0.986  Date_of_death = May2011 
 Loess Fit = -0.8  Date_of_death = May2011 
 Loess Fit = -0.8  Date_of_death = Apr2011 
 Loess Fit = -0.614  Date_of_death = Apr2011 
 Loess Fit = -0.614  Date_of_death = Mar2011 
 Loess Fit = -0.294  Date_of_death = Mar2011 
 Loess Fit = -0.294  Date_of_death = Jan2011 
 Loess Fit = 0.0613  Date_of_death = Jan2011 
 Loess Fit = 0.0613  Date_of_death = Dec2010 
 Loess Fit = 0.3759  Date_of_death = Dec2010 
 Loess Fit = 0.3759  Date_of_death = Nov2010 
 Loess Fit = 0.68  Date_of_death = Nov2010 
 Loess Fit = 0.68  Date_of_death = Oct2010 
 Loess Fit = 0.95  Date_of_death = Oct2010 
 Loess Fit = 0.95  Date_of_death = Sep2010 
 Loess Fit = 1.2201  Date_of_death = Sep2010 
 Loess Fit = 1.2201  Date_of_death = Aug2010 
 Loess Fit = 1.466  Date_of_death = Aug2010 
 Loess Fit = 1.466  Date_of_death = Jul2010 
 Loess Fit = 1.6932  Date_of_death = Jul2010 
 Loess Fit = 1.6932  Date_of_death = Jun2010 
 Loess Fit = 1.7728  Date_of_death = Jun2010 
 Loess Fit = 1.7728  Date_of_death = May2010 
 Loess Fit = 1.802  Date_of_death = May2010 
 Loess Fit = 1.802  Date_of_death = Mar2010 
 Loess Fit = 1.567  Date_of_death = Mar2010 
 Loess Fit = 1.567  Date_of_death = Feb2010 
 Loess Fit = 1.3197  Date_of_death = Feb2010 
 Loess Fit = 1.3197  Date_of_death = Jan2010 
 Loess Fit = 1.0258  Date_of_death = Jan2010 
 Loess Fit = 1.0258  Date_of_death = Dec2009 
 Loess Fit = 0.6431  Date_of_death = Dec2009 
 Loess Fit = 0.6431  Date_of_death = Nov2009 
 Loess Fit = 0.2507  Date_of_death = Nov2009 
 Loess Fit = 0.2507  Date_of_death = Oct2009 
 Loess Fit = -0.15  Date_of_death = Oct2009 
 Loess Fit = -0.15  Date_of_death = Sep2009 
 Loess Fit = -0.5  Date_of_death = Sep2009 
 Loess Fit = -0.5  Date_of_death = Aug2009 
 Loess Fit = -0.832  Date_of_death = Aug2009 
 Loess Fit = -0.832  Date_of_death = Jun2009 
 Loess Fit = -1.153  Date_of_death = Jun2009 
 Loess Fit = -1.153  Date_of_death = May2009 
 Loess Fit = -1.192  Date_of_death = May2009 
 Loess Fit = -1.192  Date_of_death = Apr2009 
 Loess Fit = -1.187  Date_of_death = Apr2009 
 Loess Fit = -1.187  Date_of_death = Mar2009 
 Loess Fit = -1.051  Date_of_death = Mar2009 
 Loess Fit = -1.051  Date_of_death = Feb2009 
 Loess Fit = -0.87  Date_of_death = Feb2009 
 Loess Fit = -0.87  Date_of_death = Jan2009 
 Loess Fit = -0.638  Date_of_death = Jan2009 
 Loess Fit = -0.638  Date_of_death = Dec2008 
 Loess Fit = -0.405  Date_of_death = Dec2008 
 Loess Fit = -0.405  Date_of_death = Nov2008 
 Loess Fit = -0.083  Date_of_death = Nov2008 
 Loess Fit = -0.083  Date_of_death = Sep2008 
 Loess Fit = 0.2574  Date_of_death = Sep2008 
 Loess Fit = 0.2574  Date_of_death = Aug2008 
 Loess Fit = 0.5422  Date_of_death = Aug2008 
 Loess Fit = 0.5422  Date_of_death = Jul2008 
 Loess Fit = 0.7711  Date_of_death = Jul2008 
 Loess Fit = 0.7711  Date_of_death = Jun2008 
 Loess Fit = 0.8216  Date_of_death = Jun2008 
 Loess Fit = 0.8216  Date_of_death = May2008 
 Loess Fit = 0.872  Date_of_death = May2008 
 Loess Fit = 0.872  Date_of_death = Apr2008 
 Loess Fit = 0.8  Date_of_death = Apr2008 
 Loess Fit = 0.8  Date_of_death = Mar2008 
 Loess Fit = 0.6234  Date_of_death = Mar2008 
 Loess Fit = 0.6234  Date_of_death = Feb2008 
 Loess Fit = 0.3204  Date_of_death = Feb2008 
 Loess Fit = 0.3204  Date_of_death = Jan2008 
 Loess Fit = -0.025  Date_of_death = Jan2008 
 Loess Fit = -0.025  Date_of_death = Nov2007 
 Loess Fit = -0.528  Date_of_death = Nov2007 
 Loess Fit = -0.528  Date_of_death = Oct2007 
 Loess Fit = -1.033  Date_of_death = Oct2007 
 Loess Fit = -1.033  Date_of_death = Sep2007 
 Loess Fit = -1.508  Date_of_death = Sep2007 
 Loess Fit = -1.508  Date_of_death = Aug2007 
 Loess Fit = -1.911  Date_of_death = Aug2007 
 Loess Fit = -1.911  Date_of_death = Jul2007 
 Loess Fit = -2.213  Date_of_death = Jul2007 
 Loess Fit = -2.213  Date_of_death = Jun2007 
 Loess Fit = -2.415  Date_of_death = Jun2007 
 Loess Fit = -2.415  Date_of_death = May2007 
 Loess Fit = -2.416  Date_of_death = May2007 
 Loess Fit = -2.416  Date_of_death = Apr2007 
 Loess Fit = -2.336  Date_of_death = Apr2007 
 Loess Fit = -2.336  Date_of_death = Feb2007 
 Loess Fit = -2.254  Date_of_death = Feb2007 
 Loess Fit = -2.254  Date_of_death = Jan2007 
 Loess Fit = -2.046  Date_of_death = Jan2007 
 Loess Fit = -2.046  Date_of_death = Dec2006 
 Loess Fit = -1.824  Date_of_death = Dec2006 
 Loess Fit = -1.824  Date_of_death = Nov2006 
 Loess Fit = -1.565  Date_of_death = Nov2006 
 Loess Fit = -1.565  Date_of_death = Oct2006 
 Loess Fit = -1.274  Date_of_death = Oct2006 
 Loess Fit = -1.274  Date_of_death = Sep2006 
 Loess Fit = -0.949  Date_of_death = Sep2006 
 Loess Fit = -0.949  Date_of_death = Aug2006 
 Loess Fit = -0.623  Date_of_death = Aug2006 
 Loess Fit = -0.623  Date_of_death = Jul2006 
 Loess Fit = -0.238  Date_of_death = Jul2006 
 Loess Fit = -0.238  Date_of_death = May2006 
 Loess Fit = 0.162  Date_of_death = May2006 
 Loess Fit = 0.162  Date_of_death = Apr2006 
 Loess Fit = 0.6016  Date_of_death = Apr2006 
 Loess Fit = 0.6016  Date_of_death = Mar2006 
 Loess Fit = 1.0256  Date_of_death = Mar2006 
 Loess Fit = 1.0256  Date_of_death = Feb2006 
 Loess Fit = 1.3919  Date_of_death = Feb2006 
 Loess Fit = 1.3919  Date_of_death = Jan2006 
 Loess Fit = 1.7582  Date_of_death = Jan2006 
 Loess Fit = 1.7582  Date_of_death = Dec2005 
 Loess Fit = 1.9608  Date_of_death = Dec2005 
 Loess Fit = 1.9608  Date_of_death = Nov2005 
 Loess Fit = 2.0407  Date_of_death = Nov2005 
 Loess Fit = 2.0407  Date_of_death = Oct2005 
 Loess Fit = 1.8808  Date_of_death = Oct2005 
 Loess Fit = 1.8808  Date_of_death = Sep2005 
 Loess Fit = 1.6542  Date_of_death = Sep2005 
 Loess Fit = 1.6542  Date_of_death = Jul2005 
 Loess Fit = 1.2116  Date_of_death = Jul2005 
 Loess Fit = 1.2116  Date_of_death = Jun2005 
 Loess Fit = 0.7675  Date_of_death = Jun2005 
 Loess Fit = 0.7675  Date_of_death = May2005 
 Loess Fit = 0.357  Date_of_death = May2005 
 Loess Fit = 0.357  Date_of_death = Apr2005 
 Loess Fit = 0.0275  Date_of_death = Apr2005 
 Loess Fit = 0.0275  Date_of_death = Mar2005 
 Loess Fit = -0.255  Date_of_death = Mar2005 
 Loess Fit = -0.255  Date_of_death = Feb2005 
 Loess Fit = -0.49  Date_of_death = Feb2005 
 Loess Fit = -0.49  Date_of_death = Jan2005 
 Loess Fit = -0.61  Date_of_death = Jan2005 
 Loess Fit = -0.61  Date_of_death = Dec2004 
 Loess Fit = -0.697  Date_of_death = Dec2004 
 Loess Fit = -0.697  Date_of_death = Oct2004 
 Loess Fit = -0.76  Date_of_death = Oct2004 
 Loess Fit = -0.76  Date_of_death = Sep2004 
 Loess Fit = -0.536  Date_of_death = Sep2004 
 Loess Fit = -0.536  Date_of_death = Aug2004 
 Loess Fit = -0.289  Date_of_death = Aug2004 
 Loess Fit = -0.289  Date_of_death = Jul2004 
 Loess Fit = 0.0116  Date_of_death = Jul2004 
 Loess Fit = 0.0116  Date_of_death = Jun2004 
 Loess Fit = 0.2206  Date_of_death = Jun2004 
 Loess Fit = 0.2206  Date_of_death = May2004 
 Loess Fit = 0.3238  Date_of_death = May2004 
 Loess Fit = 0.3238  Date_of_death = Apr2004 
 Loess Fit = 0.427  Date_of_death = Apr2004 
 Loess Fit = 0.427  Date_of_death = Mar2004 
 Loess Fit = 0.4056  Date_of_death = Mar2004 
 Loess Fit = 0.4056  Date_of_death = Jan2004 
 Loess Fit = 0.3529  Date_of_death = Jan2004 
 Loess Fit = 0.3529  Date_of_death = Dec2003 
 Loess Fit = 0.3205  Date_of_death = Dec2003 
 Loess Fit = 0.3205  Date_of_death = Nov2003 
 Loess Fit = 0.264  Date_of_death = Nov2003 
 Loess Fit = 0.264  Date_of_death = Oct2003 
 Loess Fit = 0.1203  Date_of_death = Oct2003 
 Loess Fit = 0.1203  Date_of_death = Sep2003 
 Loess Fit = -0.023  Date_of_death = Sep2003 
 Loess Fit = -0.023  Date_of_death = Aug2003 
 Loess Fit = -0.23  Date_of_death = Aug2003 
 Loess Fit = -0.23  Date_of_death = Jul2003 
 Loess Fit = -0.489  Date_of_death = Jul2003 
 Loess Fit = -0.489  Date_of_death = Jun2003 
 Loess Fit = -0.607  Date_of_death = Jun2003 
 Loess Fit = -0.607  Date_of_death = May2003 
 Loess Fit = -0.672  Date_of_death = May2003 
 Loess Fit = -0.672  Date_of_death = Mar2003 
 Loess Fit = -0.653  Date_of_death = Mar2003 
 Loess Fit = -0.653  Date_of_death = Feb2003 
 Loess Fit = -0.629  Date_of_death = Feb2003 
 Loess Fit = -0.629  Date_of_death = Jan2003 
 Loess Fit = -0.642  Date_of_death = Jan2003 
 Loess Fit = -0.642  Date_of_death = Dec2002 
 Loess Fit = -0.734  Date_of_death = Dec2002 
 Loess Fit = -0.734  Date_of_death = Nov2002 
 Loess Fit = -0.79  Date_of_death = Nov2002 
 Loess Fit = -0.79  Date_of_death = Oct2002 
 Loess Fit = -0.811  Date_of_death = Oct2002 
 Loess Fit = -0.811  Date_of_death = Sep2002 
 Loess Fit = -0.744  Date_of_death = Sep2002 
 Loess Fit = -0.744  Date_of_death = Aug2002 
 Loess Fit = -0.642  Date_of_death = Aug2002 
 Loess Fit = -0.642  Date_of_death = Jun2002 
 Loess Fit = -0.542  Date_of_death = Jun2002 
 Loess Fit = -0.542  Date_of_death = May2002 
 Loess Fit = -0.486  Date_of_death = May2002 
 Loess Fit = -0.486  Date_of_death = Apr2002 
 Loess Fit = -0.442  Date_of_death = Apr2002 
 Loess Fit = -0.442  Date_of_death = Mar2002 
 Loess Fit = -0.437  Date_of_death = Mar2002 
 Loess Fit = -0.437  Date_of_death = Feb2002 
 Loess Fit = -0.425  Date_of_death = Feb2002 
 Loess Fit = -0.425  Date_of_death = Jan2002 
 Loess Fit = -0.404  Date_of_death = Jan2002 
 Loess Fit = -0.404  Date_of_death = Dec2001 
 Loess Fit = -0.384  Date_of_death = Dec2001 
 Loess Fit = -0.384  Date_of_death = Nov2001 
 Loess Fit = -0.373  Date_of_death = Nov2001 
 Loess Fit = -0.373  Date_of_death = Sep2001 
 Loess Fit = -0.364  Date_of_death = Sep2001 
 Loess Fit = -0.364  Date_of_death = Aug2001 
 Loess Fit = -0.396  Date_of_death = Aug2001 
 Loess Fit = -0.396  Date_of_death = Jul2001 
 Loess Fit = -0.432  Date_of_death = Jul2001 
 Loess Fit = -0.432  Date_of_death = Jun2001 
 Loess Fit = -0.478  Date_of_death = Jun2001 
 Loess Fit = -0.478  Date_of_death = May2001 
 Loess Fit = -0.517  Date_of_death = May2001 
 Loess Fit = -0.517  Date_of_death = Apr2001 
 Loess Fit = -0.544  Date_of_death = Apr2001 
 Loess Fit = -0.544  Date_of_death = Mar2001 
 Loess Fit = -0.57  Date_of_death = Mar2001 
 Loess Fit = -0.57  Date_of_death = Feb2001 
 Loess Fit = -0.594  Date_of_death = Feb2001 
 Loess Fit = -0.594  Date_of_death = Jan2001 
 Loess Fit = -0.622  Date_of_death = Sep2019 
 Prediction Error = -1.091  Date_of_death = Aug2019 
 Prediction Error = -1.536  Date_of_death = Jul2019 
 Prediction Error = -1.507  Date_of_death = Jun2019 
 Prediction Error = -0.352  Date_of_death = May2019 
 Prediction Error = -2.874  Date_of_death = Apr2019 
 Prediction Error = -2.174  Date_of_death = Mar2019 
 Prediction Error = -0.656  Date_of_death = Feb2019 
 Prediction Error = 3.516  Date_of_death = Jan2019 
 Prediction Error = 3.4773  Date_of_death = Dec2018 
 Prediction Error = -1.905  Date_of_death = Nov2018 
 Prediction Error = -0.126  Date_of_death = Oct2018 
 Prediction Error = -1.313  Date_of_death = Sep2018 
 Prediction Error = -2.351  Date_of_death = Aug2018 
 Prediction Error = 0.3812  Date_of_death = Jul2018 
 Prediction Error = -2.776  Date_of_death = Jun2018 
 Prediction Error = -2.654  Date_of_death = May2018 
 Prediction Error = 2.1653  Date_of_death = Apr2018 
 Prediction Error = 0.8502  Date_of_death = Mar2018 
 Prediction Error = -1.79  Date_of_death = Feb2018 
 Prediction Error = -1.707  Date_of_death = Jan2018 
 Prediction Error = 0.3016  Date_of_death = Dec2017 
 Prediction Error = -2.222  Date_of_death = Nov2017 
 Prediction Error = 2.89  Date_of_death = Oct2017 
 Prediction Error = 3.8428  Date_of_death = Sep2017 
 Prediction Error = -1.474  Date_of_death = Aug2017 
 Prediction Error = 0.3592  Date_of_death = Jul2017 
 Prediction Error = -1.906  Date_of_death = Jun2017 
 Prediction Error = 2.5534  Date_of_death = May2017 
 Prediction Error = 2.3631  Date_of_death = Apr2017 
 Prediction Error = 3.1279  Date_of_death = Mar2017 
 Prediction Error = -1.782  Date_of_death = Feb2017 
 Prediction Error = -1.691  Date_of_death = Jan2017 
 Prediction Error = -1.718  Date_of_death = Dec2016 
 Prediction Error = -2.278  Date_of_death = Nov2016 
 Prediction Error = -2.252  Date_of_death = Oct2016 
 Prediction Error = -1.334  Date_of_death = Sep2016 
 Prediction Error = 2.6523  Date_of_death = Aug2016 
 Prediction Error = 0.3491  Date_of_death = Jul2016 
 Prediction Error = -0.977  Date_of_death = Jun2016 
 Prediction Error = -1.627  Date_of_death = May2016 
 Prediction Error = -2.989  Date_of_death = Apr2016 
 Prediction Error = -2.276  Date_of_death = Mar2016 
 Prediction Error = -2.186  Date_of_death = Feb2016 
 Prediction Error = -2.096  Date_of_death = Jan2016 
 Prediction Error = 3.276  Date_of_death = Dec2015 
 Prediction Error = 2.7815  Date_of_death = Nov2015 
 Prediction Error = 2.9  Date_of_death = Oct2015 
 Prediction Error = -1.455  Date_of_death = Sep2015 
 Prediction Error = 2.7954  Date_of_death = Aug2015 
 Prediction Error = -0.747  Date_of_death = Jul2015 
 Prediction Error = -3.266  Date_of_death = Jun2015 
 Prediction Error = -2.913  Date_of_death = May2015 
 Prediction Error = -3.301  Date_of_death = Apr2015 
 Prediction Error = -2.542  Date_of_death = Mar2015 
 Prediction Error = -1.363  Date_of_death = Feb2015 
 Prediction Error = -2.335  Date_of_death = Jan2015 
 Prediction Error = 3.3909  Date_of_death = Dec2014 
 Prediction Error = 2.875  Date_of_death = Nov2014 
 Prediction Error = 2.9983  Date_of_death = Oct2014 
 Prediction Error = 0.5093  Date_of_death = Sep2014 
 Prediction Error = -1.441  Date_of_death = Aug2014 
 Prediction Error = 3.4041  Date_of_death = Jul2014 
 Prediction Error = 1.8666  Date_of_death = Jun2014 
 Prediction Error = -3.111  Date_of_death = May2014 
 Prediction Error = -1.345  Date_of_death = Apr2014 
 Prediction Error = 2.7755  Date_of_death = Mar2014 
 Prediction Error = 0.8643  Date_of_death = Feb2014 
 Prediction Error = -2.314  Date_of_death = Jan2014 
 Prediction Error = -0.535  Date_of_death = Dec2013 
 Prediction Error = -2.259  Date_of_death = Nov2013 
 Prediction Error = -1.121  Date_of_death = Oct2013 
 Prediction Error = -1.684  Date_of_death = Sep2013 
 Prediction Error = -2.726  Date_of_death = Aug2013 
 Prediction Error = -0.814  Date_of_death = Jul2013 
 Prediction Error = -3.641  Date_of_death = Jun2013 
 Prediction Error = 1.8518  Date_of_death = May2013 
 Prediction Error = 1.6494  Date_of_death = Apr2013 
 Prediction Error = 2.8515  Date_of_death = Mar2013 
 Prediction Error = -2.495  Date_of_death = Feb2013 
 Prediction Error = 2.7831  Date_of_death = Jan2013 
 Prediction Error = 3.692  Date_of_death = Dec2012 
 Prediction Error = -0.286  Date_of_death = Nov2012 
 Prediction Error = -2.319  Date_of_death = Oct2012 
 Prediction Error = -1.846  Date_of_death = Sep2012 
 Prediction Error = -2.974  Date_of_death = Aug2012 
 Prediction Error = -0.903  Date_of_death = Jul2012 
 Prediction Error = 1.5397  Date_of_death = Jun2012 
 Prediction Error = 2.0744  Date_of_death = May2012 
 Prediction Error = -3.648  Date_of_death = Apr2012 
 Prediction Error = -2.435  Date_of_death = Mar2012 
 Prediction Error = 2.6926  Date_of_death = Feb2012 
 Prediction Error = 2.992  Date_of_death = Jan2012 
 Prediction Error = 0.6715  Date_of_death = Dec2011 
 Prediction Error = -2.606  Date_of_death = Nov2011 
 Prediction Error = -2.644  Date_of_death = Oct2011 
 Prediction Error = -1.022  Date_of_death = Sep2011 
 Prediction Error = -3.344  Date_of_death = Aug2011 
 Prediction Error = -2.194  Date_of_death = Jul2011 
 Prediction Error = -1.766  Date_of_death = Jun2011 
 Prediction Error = 2.0844  Date_of_death = May2011 
 Prediction Error = 1.379  Date_of_death = Apr2011 
 Prediction Error = -2.753  Date_of_death = Mar2011 
 Prediction Error = -2.703  Date_of_death = Feb2011 
 Prediction Error = 3.0715  Date_of_death = Jan2011 
 Prediction Error = -1.681  Date_of_death = Dec2010 
 Prediction Error = -3.099  Date_of_death = Nov2010 
 Prediction Error = 2.4367  Date_of_death = Oct2010 
 Prediction Error = 3.1834  Date_of_death = Sep2010 
 Prediction Error = 1.8106  Date_of_death = Aug2010 
 Prediction Error = 3.1577  Date_of_death = Jul2010 
 Prediction Error = 1.481  Date_of_death = Jun2010 
 Prediction Error = 2.4182  Date_of_death = May2010 
 Prediction Error = 1.6445  Date_of_death = Apr2010 
 Prediction Error = 2.6865  Date_of_death = Mar2010 
 Prediction Error = 2.8312  Date_of_death = Feb2010 
 Prediction Error = -1.894  Date_of_death = Jan2010 
 Prediction Error = 3.9684  Date_of_death = Dec2009 
 Prediction Error = 2.5102  Date_of_death = Nov2009 
 Prediction Error = -2.52  Date_of_death = Oct2009 
 Prediction Error = -1.763  Date_of_death = Sep2009 
 Prediction Error = 2.2726  Date_of_death = Aug2009 
 Prediction Error = -1.86  Date_of_death = Jul2009 
 Prediction Error = -3.798  Date_of_death = Jun2009 
 Prediction Error = -1.708  Date_of_death = May2009 
 Prediction Error = -0.377  Date_of_death = Apr2009 
 Prediction Error = -2.633  Date_of_death = Mar2009 
 Prediction Error = -2.555  Date_of_death = Feb2009 
 Prediction Error = -2.252  Date_of_death = Jan2009 
 Prediction Error = -1.381  Date_of_death = Dec2008 
 Prediction Error = 2.5889  Date_of_death = Nov2008 
 Prediction Error = 2.625  Date_of_death = Oct2008 
 Prediction Error = 0.1291  Date_of_death = Sep2008 
 Prediction Error = -1.007  Date_of_death = Aug2008 
 Prediction Error = -1.144  Date_of_death = Jul2008 
 Prediction Error = 1.2491  Date_of_death = Jun2008 
 Prediction Error = 2.5347  Date_of_death = May2008 
 Prediction Error = 1.8112  Date_of_death = Apr2008 
 Prediction Error = 2.7252  Date_of_death = Mar2008 
 Prediction Error = -1.668  Date_of_death = Feb2008 
 Prediction Error = 3.2531  Date_of_death = Jan2008 
 Prediction Error = -0.246  Date_of_death = Dec2007 
 Prediction Error = 3.1368  Date_of_death = Nov2007 
 Prediction Error = -2.604  Date_of_death = Oct2007 
 Prediction Error = -2.053  Date_of_death = Sep2007 
 Prediction Error = -3.375  Date_of_death = Aug2007 
 Prediction Error = -2.401  Date_of_death = Jul2007 
 Prediction Error = -4.307  Date_of_death = Jun2007 
 Prediction Error = -2.912  Date_of_death = May2007 
 Prediction Error = -3.814  Date_of_death = Apr2007 
 Prediction Error = -2.848  Date_of_death = Mar2007 
 Prediction Error = -3.317  Date_of_death = Feb2007 
 Prediction Error = -1.189  Date_of_death = Jan2007 
 Prediction Error = -0.626  Date_of_death = Dec2006 
 Prediction Error = -2.583  Date_of_death = Nov2006 
 Prediction Error = 2.4428  Date_of_death = Oct2006 
 Prediction Error = -1.575  Date_of_death = Sep2006 
 Prediction Error = -4.29  Date_of_death = Aug2006 
 Prediction Error = -1.981  Date_of_death = Jul2006 
 Prediction Error = 0.5227  Date_of_death = Jun2006 
 Prediction Error = 2.2115  Date_of_death = May2006 
 Prediction Error = -4.675  Date_of_death = Apr2006 
 Prediction Error = 2.3478  Date_of_death = Mar2006 
 Prediction Error = 1.8663  Date_of_death = Feb2006 
 Prediction Error = 3.2338  Date_of_death = Jan2006 
 Prediction Error = 3.9433  Date_of_death = Dec2005 
 Prediction Error = 2.9665  Date_of_death = Nov2005 
 Prediction Error = 2.9956  Date_of_death = Oct2005 
 Prediction Error = 3.0257  Date_of_death = Sep2005 
 Prediction Error = 1.0372  Date_of_death = Aug2005 
 Prediction Error = 2.6647  Date_of_death = Jul2005 
 Prediction Error = 0.8754  Date_of_death = Jun2005 
 Prediction Error = 2.9061  Date_of_death = May2005 
 Prediction Error = -2.919  Date_of_death = Apr2005 
 Prediction Error = -2.946  Date_of_death = Mar2005 
 Prediction Error = 0.0562  Date_of_death = Feb2005 
 Prediction Error = -1.961  Date_of_death = Jan2005 
 Prediction Error = -1.172  Date_of_death = Dec2004 
 Prediction Error = -2.499  Date_of_death = Nov2004 
 Prediction Error = 3.7825  Date_of_death = Oct2004 
 Prediction Error = -2.486  Date_of_death = Sep2004 
 Prediction Error = 1.2751  Date_of_death = Aug2004 
 Prediction Error = -2.998  Date_of_death = Jul2004 
 Prediction Error = 1.0106  Date_of_death = Jun2004 
 Prediction Error = -2.762  Date_of_death = May2004 
 Prediction Error = -0.011  Date_of_death = Apr2004 
 Prediction Error = 2.5098  Date_of_death = Mar2004 
 Prediction Error = 2.5318  Date_of_death = Feb2004 
 Prediction Error = 3.8152  Date_of_death = Jan2004 
 Prediction Error = -0.184  Date_of_death = Dec2003 
 Prediction Error = 3.4115  Date_of_death = Nov2003 
 Prediction Error = -1.595  Date_of_death = Oct2003 
 Prediction Error = -3.281  Date_of_death = Sep2003 
 Prediction Error = -4.978  Date_of_death = Aug2003 
 Prediction Error = 2.7083  Date_of_death = Jul2003 
 Prediction Error = 1.3864  Date_of_death = Jun2003 
 Prediction Error = -2.293  Date_of_death = May2003 
 Prediction Error = 0.0422  Date_of_death = Apr2003 
 Prediction Error = 3.4003  Date_of_death = Mar2003 
 Prediction Error = -3.286  Date_of_death = Feb2003 
 Prediction Error = -1.628  Date_of_death = Jan2003 
 Prediction Error = -1.638  Date_of_death = Dec2002 
 Prediction Error = -2.487  Date_of_death = Nov2002 
 Prediction Error = 5.0384  Date_of_death = Oct2002 
 Prediction Error = -4.984  Date_of_death = Sep2002 
 Prediction Error = 0.0174  Date_of_death = Aug2002 
 Prediction Error = -0.484  Date_of_death = Jul2002 
 Prediction Error = -4.003  Date_of_death = Jun2002 
 Prediction Error = 2.5097  Date_of_death = May2002 
 Prediction Error = 0.0104  Date_of_death = Apr2002 
 Prediction Error = -2.501  Date_of_death = Mar2002 
 Prediction Error = 2.5111  Date_of_death = Feb2002 
 Prediction Error = -2.501  Date_of_death = Jan2002 
 Prediction Error = 5.0243  Date_of_death = Dec2001 
 Prediction Error = -4.994  Date_of_death = Nov2001 
 Prediction Error = 0.0075  Date_of_death = Oct2001 
 Prediction Error = 0.0087  Date_of_death = Sep2001 
 Prediction Error = 0.01  Date_of_death = Aug2001 
 Prediction Error = -5.004  Date_of_death = Jul2001 
 Prediction Error = -0.004  Date_of_death = Jun2001 
 Prediction Error = 5.0113  Date_of_death = May2001 
 Prediction Error = 0.0126  Date_of_death = Apr2001 
 Prediction Error = -5.001  Date_of_death = Mar2001 
 Prediction Error = 5.0139  Date_of_death = Feb2001 
 Prediction Error = -5  Date_of_death = Jan2001 
 Prediction Error = -4E-16  Date_of_death = Sep2019 
 2*STD = 4.7501 
 -2*STD = -4.75  Date_of_death = Aug2019 
 2*STD = 4.7501 
 -2*STD = -4.75  Date_of_death = Aug2019 
 2*STD = 4.7501 
 -2*STD = -4.75  Date_of_death = Jul2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = Jul2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = Jun2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = Jun2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = May2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = May2019 
 2*STD = 4.7502 
 -2*STD = -4.75  Date_of_death = Apr2019 
 2*STD = 4.7503 
 -2*STD = -4.75  Date_of_death = Apr2019 
 2*STD = 4.7503 
 -2*STD = -4.75  Date_of_death = Mar2019 
 2*STD = 4.7503 
 -2*STD = -4.75  Date_of_death = Mar2019 
 2*STD = 4.7503 
 -2*STD = -4.75  Date_of_death = Feb2019 
 2*STD = 4.7504 
 -2*STD = -4.75  Date_of_death = Feb2019 
 2*STD = 4.7504 
 -2*STD = -4.75  Date_of_death = Jan2019 
 2*STD = 4.7504 
 -2*STD = -4.75  Date_of_death = Jan2019 
 2*STD = 4.7504 
 -2*STD = -4.75  Date_of_death = Dec2018 
 2*STD = 4.756 
 -2*STD = -4.756  Date_of_death = Dec2018 
 2*STD = 4.756 
 -2*STD = -4.756  Date_of_death = Nov2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Nov2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Oct2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Oct2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Sep2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Sep2018 
 2*STD = 4.7561 
 -2*STD = -4.756  Date_of_death = Aug2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = Aug2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = Jul2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = Jul2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = Jun2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = Jun2018 
 2*STD = 4.7562 
 -2*STD = -4.756  Date_of_death = May2018 
 2*STD = 4.7563 
 -2*STD = -4.756  Date_of_death = May2018 
 2*STD = 4.7563 
 -2*STD = -4.756  Date_of_death = Apr2018 
 2*STD = 4.7563 
 -2*STD = -4.756  Date_of_death = Apr2018 
 2*STD = 4.7563 
 -2*STD = -4.756  Date_of_death = Mar2018 
 2*STD = 4.7564 
 -2*STD = -4.756  Date_of_death = Mar2018 
 2*STD = 4.7564 
 -2*STD = -4.756  Date_of_death = Feb2018 
 2*STD = 4.7565 
 -2*STD = -4.756  Date_of_death = Feb2018 
 2*STD = 4.7565 
 -2*STD = -4.756  Date_of_death = Jan2018 
 2*STD = 4.7565 
 -2*STD = -4.757  Date_of_death = Jan2018 
 2*STD = 4.7565 
 -2*STD = -4.757  Date_of_death = Dec2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Dec2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Nov2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Nov2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Oct2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Oct2017 
 2*STD = 4.7628 
 -2*STD = -4.763  Date_of_death = Sep2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Sep2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Aug2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Aug2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Jul2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Jul2017 
 2*STD = 4.7629 
 -2*STD = -4.763  Date_of_death = Jun2017 
 2*STD = 4.763 
 -2*STD = -4.763  Date_of_death = Jun2017 
 2*STD = 4.763 
 -2*STD = -4.763  Date_of_death = May2017 
 2*STD = 4.763 
 -2*STD = -4.763  Date_of_death = May2017 
 2*STD = 4.763 
 -2*STD = -4.763  Date_of_death = Apr2017 
 2*STD = 4.7631 
 -2*STD = -4.763  Date_of_death = Apr2017 
 2*STD = 4.7631 
 -2*STD = -4.763  Date_of_death = Mar2017 
 2*STD = 4.7632 
 -2*STD = -4.763  Date_of_death = Mar2017 
 2*STD = 4.7632 
 -2*STD = -4.763  Date_of_death = Feb2017 
 2*STD = 4.7632 
 -2*STD = -4.763  Date_of_death = Feb2017 
 2*STD = 4.7632 
 -2*STD = -4.763  Date_of_death = Jan2017 
 2*STD = 4.7633 
 -2*STD = -4.763  Date_of_death = Jan2017 
 2*STD = 4.7633 
 -2*STD = -4.763  Date_of_death = Dec2016 
 2*STD = 4.7703 
 -2*STD = -4.77  Date_of_death = Dec2016 
 2*STD = 4.7703 
 -2*STD = -4.77  Date_of_death = Nov2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Nov2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Oct2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Oct2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Sep2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Sep2016 
 2*STD = 4.7704 
 -2*STD = -4.77  Date_of_death = Aug2016 
 2*STD = 4.7705 
 -2*STD = -4.77  Date_of_death = Aug2016 
 2*STD = 4.7705 
 -2*STD = -4.77  Date_of_death = Jul2016 
 2*STD = 4.7705 
 -2*STD = -4.771  Date_of_death = Jul2016 
 2*STD = 4.7705 
 -2*STD = -4.771  Date_of_death = Jun2016 
 2*STD = 4.7706 
 -2*STD = -4.771  Date_of_death = Jun2016 
 2*STD = 4.7706 
 -2*STD = -4.771  Date_of_death = May2016 
 2*STD = 4.7706 
 -2*STD = -4.771  Date_of_death = May2016 
 2*STD = 4.7706 
 -2*STD = -4.771  Date_of_death = Apr2016 
 2*STD = 4.7707 
 -2*STD = -4.771  Date_of_death = Apr2016 
 2*STD = 4.7707 
 -2*STD = -4.771  Date_of_death = Mar2016 
 2*STD = 4.7707 
 -2*STD = -4.771  Date_of_death = Mar2016 
 2*STD = 4.7707 
 -2*STD = -4.771  Date_of_death = Feb2016 
 2*STD = 4.7708 
 -2*STD = -4.771  Date_of_death = Feb2016 
 2*STD = 4.7708 
 -2*STD = -4.771  Date_of_death = Jan2016 
 2*STD = 4.7709 
 -2*STD = -4.771  Date_of_death = Jan2016 
 2*STD = 4.7709 
 -2*STD = -4.771  Date_of_death = Dec2015 
 2*STD = 4.7789 
 -2*STD = -4.779  Date_of_death = Dec2015 
 2*STD = 4.7789 
 -2*STD = -4.779  Date_of_death = Nov2015 
 2*STD = 4.7789 
 -2*STD = -4.779  Date_of_death = Nov2015 
 2*STD = 4.7789 
 -2*STD = -4.779  Date_of_death = Oct2015 
 2*STD = 4.779 
 -2*STD = -4.779  Date_of_death = Oct2015 
 2*STD = 4.779 
 -2*STD = -4.779  Date_of_death = Sep2015 
 2*STD = 4.779 
 -2*STD = -4.779  Date_of_death = Sep2015 
 2*STD = 4.779 
 -2*STD = -4.779  Date_of_death = Aug2015 
 2*STD = 4.7791 
 -2*STD = -4.779  Date_of_death = Aug2015 
 2*STD = 4.7791 
 -2*STD = -4.779  Date_of_death = Jul2015 
 2*STD = 4.7791 
 -2*STD = -4.779  Date_of_death = Jul2015 
 2*STD = 4.7791 
 -2*STD = -4.779  Date_of_death = Jun2015 
 2*STD = 4.7792 
 -2*STD = -4.779  Date_of_death = Jun2015 
 2*STD = 4.7792 
 -2*STD = -4.779  Date_of_death = May2015 
 2*STD = 4.7792 
 -2*STD = -4.779  Date_of_death = May2015 
 2*STD = 4.7792 
 -2*STD = -4.779  Date_of_death = Apr2015 
 2*STD = 4.7793 
 -2*STD = -4.779  Date_of_death = Apr2015 
 2*STD = 4.7793 
 -2*STD = -4.779  Date_of_death = Mar2015 
 2*STD = 4.7793 
 -2*STD = -4.779  Date_of_death = Mar2015 
 2*STD = 4.7793 
 -2*STD = -4.779  Date_of_death = Feb2015 
 2*STD = 4.7794 
 -2*STD = -4.779  Date_of_death = Feb2015 
 2*STD = 4.7794 
 -2*STD = -4.779  Date_of_death = Jan2015 
 2*STD = 4.7795 
 -2*STD = -4.779  Date_of_death = Jan2015 
 2*STD = 4.7795 
 -2*STD = -4.779  Date_of_death = Dec2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Dec2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Nov2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Nov2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Oct2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Oct2014 
 2*STD = 4.7887 
 -2*STD = -4.789  Date_of_death = Sep2014 
 2*STD = 4.7888 
 -2*STD = -4.789  Date_of_death = Sep2014 
 2*STD = 4.7888 
 -2*STD = -4.789  Date_of_death = Aug2014 
 2*STD = 4.7888 
 -2*STD = -4.789  Date_of_death = Aug2014 
 2*STD = 4.7888 
 -2*STD = -4.789  Date_of_death = Jul2014 
 2*STD = 4.7889 
 -2*STD = -4.789  Date_of_death = Jul2014 
 2*STD = 4.7889 
 -2*STD = -4.789  Date_of_death = Jun2014 
 2*STD = 4.7889 
 -2*STD = -4.789  Date_of_death = Jun2014 
 2*STD = 4.7889 
 -2*STD = -4.789  Date_of_death = May2014 
 2*STD = 4.789 
 -2*STD = -4.789  Date_of_death = May2014 
 2*STD = 4.789 
 -2*STD = -4.789  Date_of_death = Apr2014 
 2*STD = 4.7891 
 -2*STD = -4.789  Date_of_death = Apr2014 
 2*STD = 4.7891 
 -2*STD = -4.789  Date_of_death = Mar2014 
 2*STD = 4.7891 
 -2*STD = -4.789  Date_of_death = Mar2014 
 2*STD = 4.7891 
 -2*STD = -4.789  Date_of_death = Feb2014 
 2*STD = 4.7892 
 -2*STD = -4.789  Date_of_death = Feb2014 
 2*STD = 4.7892 
 -2*STD = -4.789  Date_of_death = Jan2014 
 2*STD = 4.7893 
 -2*STD = -4.789  Date_of_death = Jan2014 
 2*STD = 4.7893 
 -2*STD = -4.789  Date_of_death = Dec2013 
 2*STD = 4.7999 
 -2*STD = -4.8  Date_of_death = Dec2013 
 2*STD = 4.7999 
 -2*STD = -4.8  Date_of_death = Nov2013 
 2*STD = 4.8 
 -2*STD = -4.8  Date_of_death = Nov2013 
 2*STD = 4.8 
 -2*STD = -4.8  Date_of_death = Oct2013 
 2*STD = 4.8 
 -2*STD = -4.8  Date_of_death = Oct2013 
 2*STD = 4.8 
 -2*STD = -4.8  Date_of_death = Sep2013 
 2*STD = 4.8001 
 -2*STD = -4.8  Date_of_death = Sep2013 
 2*STD = 4.8001 
 -2*STD = -4.8  Date_of_death = Aug2013 
 2*STD = 4.8001 
 -2*STD = -4.8  Date_of_death = Aug2013 
 2*STD = 4.8001 
 -2*STD = -4.8  Date_of_death = Jul2013 
 2*STD = 4.8002 
 -2*STD = -4.8  Date_of_death = Jul2013 
 2*STD = 4.8002 
 -2*STD = -4.8  Date_of_death = Jun2013 
 2*STD = 4.8002 
 -2*STD = -4.8  Date_of_death = Jun2013 
 2*STD = 4.8002 
 -2*STD = -4.8  Date_of_death = May2013 
 2*STD = 4.8003 
 -2*STD = -4.8  Date_of_death = May2013 
 2*STD = 4.8003 
 -2*STD = -4.8  Date_of_death = Apr2013 
 2*STD = 4.8004 
 -2*STD = -4.8  Date_of_death = Apr2013 
 2*STD = 4.8004 
 -2*STD = -4.8  Date_of_death = Mar2013 
 2*STD = 4.8004 
 -2*STD = -4.8  Date_of_death = Mar2013 
 2*STD = 4.8004 
 -2*STD = -4.8  Date_of_death = Feb2013 
 2*STD = 4.8005 
 -2*STD = -4.801  Date_of_death = Feb2013 
 2*STD = 4.8005 
 -2*STD = -4.801  Date_of_death = Jan2013 
 2*STD = 4.8006 
 -2*STD = -4.801  Date_of_death = Jan2013 
 2*STD = 4.8006 
 -2*STD = -4.801  Date_of_death = Dec2012 
 2*STD = 4.813 
 -2*STD = -4.813  Date_of_death = Dec2012 
 2*STD = 4.813 
 -2*STD = -4.813  Date_of_death = Nov2012 
 2*STD = 4.8131 
 -2*STD = -4.813  Date_of_death = Nov2012 
 2*STD = 4.8131 
 -2*STD = -4.813  Date_of_death = Oct2012 
 2*STD = 4.8131 
 -2*STD = -4.813  Date_of_death = Oct2012 
 2*STD = 4.8131 
 -2*STD = -4.813  Date_of_death = Sep2012 
 2*STD = 4.8132 
 -2*STD = -4.813  Date_of_death = Sep2012 
 2*STD = 4.8132 
 -2*STD = -4.813  Date_of_death = Aug2012 
 2*STD = 4.8132 
 -2*STD = -4.813  Date_of_death = Aug2012 
 2*STD = 4.8132 
 -2*STD = -4.813  Date_of_death = Jul2012 
 2*STD = 4.8133 
 -2*STD = -4.813  Date_of_death = Jul2012 
 2*STD = 4.8133 
 -2*STD = -4.813  Date_of_death = Jun2012 
 2*STD = 4.8133 
 -2*STD = -4.813  Date_of_death = Jun2012 
 2*STD = 4.8133 
 -2*STD = -4.813  Date_of_death = May2012 
 2*STD = 4.8134 
 -2*STD = -4.813  Date_of_death = May2012 
 2*STD = 4.8134 
 -2*STD = -4.813  Date_of_death = Apr2012 
 2*STD = 4.8135 
 -2*STD = -4.813  Date_of_death = Apr2012 
 2*STD = 4.8135 
 -2*STD = -4.813  Date_of_death = Mar2012 
 2*STD = 4.8136 
 -2*STD = -4.814  Date_of_death = Mar2012 
 2*STD = 4.8136 
 -2*STD = -4.814  Date_of_death = Feb2012 
 2*STD = 4.8137 
 -2*STD = -4.814  Date_of_death = Feb2012 
 2*STD = 4.8137 
 -2*STD = -4.814  Date_of_death = Jan2012 
 2*STD = 4.8138 
 -2*STD = -4.814  Date_of_death = Jan2012 
 2*STD = 4.8138 
 -2*STD = -4.814  Date_of_death = Dec2011 
 2*STD = 4.8285 
 -2*STD = -4.829  Date_of_death = Dec2011 
 2*STD = 4.8285 
 -2*STD = -4.829  Date_of_death = Nov2011 
 2*STD = 4.8286 
 -2*STD = -4.829  Date_of_death = Nov2011 
 2*STD = 4.8286 
 -2*STD = -4.829  Date_of_death = Oct2011 
 2*STD = 4.8286 
 -2*STD = -4.829  Date_of_death = Oct2011 
 2*STD = 4.8286 
 -2*STD = -4.829  Date_of_death = Sep2011 
 2*STD = 4.8287 
 -2*STD = -4.829  Date_of_death = Sep2011 
 2*STD = 4.8287 
 -2*STD = -4.829  Date_of_death = Aug2011 
 2*STD = 4.8287 
 -2*STD = -4.829  Date_of_death = Aug2011 
 2*STD = 4.8287 
 -2*STD = -4.829  Date_of_death = Jul2011 
 2*STD = 4.8288 
 -2*STD = -4.829  Date_of_death = Jul2011 
 2*STD = 4.8288 
 -2*STD = -4.829  Date_of_death = Jun2011 
 2*STD = 4.8288 
 -2*STD = -4.829  Date_of_death = Jun2011 
 2*STD = 4.8288 
 -2*STD = -4.829  Date_of_death = May2011 
 2*STD = 4.8289 
 -2*STD = -4.829  Date_of_death = May2011 
 2*STD = 4.8289 
 -2*STD = -4.829  Date_of_death = Apr2011 
 2*STD = 4.829 
 -2*STD = -4.829  Date_of_death = Apr2011 
 2*STD = 4.829 
 -2*STD = -4.829  Date_of_death = Mar2011 
 2*STD = 4.8291 
 -2*STD = -4.829  Date_of_death = Mar2011 
 2*STD = 4.8291 
 -2*STD = -4.829  Date_of_death = Feb2011 
 2*STD = 4.8292 
 -2*STD = -4.829  Date_of_death = Feb2011 
 2*STD = 4.8292 
 -2*STD = -4.829  Date_of_death = Jan2011 
 2*STD = 4.8293 
 -2*STD = -4.829  Date_of_death = Jan2011 
 2*STD = 4.8293 
 -2*STD = -4.829  Date_of_death = Dec2010 
 2*STD = 4.8471 
 -2*STD = -4.847  Date_of_death = Dec2010 
 2*STD = 4.8471 
 -2*STD = -4.847  Date_of_death = Nov2010 
 2*STD = 4.8471 
 -2*STD = -4.847  Date_of_death = Nov2010 
 2*STD = 4.8471 
 -2*STD = -4.847  Date_of_death = Oct2010 
 2*STD = 4.8472 
 -2*STD = -4.847  Date_of_death = Oct2010 
 2*STD = 4.8472 
 -2*STD = -4.847  Date_of_death = Sep2010 
 2*STD = 4.8472 
 -2*STD = -4.847  Date_of_death = Sep2010 
 2*STD = 4.8472 
 -2*STD = -4.847  Date_of_death = Aug2010 
 2*STD = 4.8473 
 -2*STD = -4.847  Date_of_death = Aug2010 
 2*STD = 4.8473 
 -2*STD = -4.847  Date_of_death = Jul2010 
 2*STD = 4.8473 
 -2*STD = -4.847  Date_of_death = Jul2010 
 2*STD = 4.8473 
 -2*STD = -4.847  Date_of_death = Jun2010 
 2*STD = 4.8474 
 -2*STD = -4.847  Date_of_death = Jun2010 
 2*STD = 4.8474 
 -2*STD = -4.847  Date_of_death = May2010 
 2*STD = 4.8475 
 -2*STD = -4.847  Date_of_death = May2010 
 2*STD = 4.8475 
 -2*STD = -4.847  Date_of_death = Apr2010 
 2*STD = 4.8476 
 -2*STD = -4.848  Date_of_death = Apr2010 
 2*STD = 4.8476 
 -2*STD = -4.848  Date_of_death = Mar2010 
 2*STD = 4.8476 
 -2*STD = -4.848  Date_of_death = Mar2010 
 2*STD = 4.8476 
 -2*STD = -4.848  Date_of_death = Feb2010 
 2*STD = 4.8477 
 -2*STD = -4.848  Date_of_death = Feb2010 
 2*STD = 4.8477 
 -2*STD = -4.848  Date_of_death = Jan2010 
 2*STD = 4.8478 
 -2*STD = -4.848  Date_of_death = Jan2010 
 2*STD = 4.8478 
 -2*STD = -4.848  Date_of_death = Dec2009 
 2*STD = 4.8697 
 -2*STD = -4.87  Date_of_death = Dec2009 
 2*STD = 4.8697 
 -2*STD = -4.87  Date_of_death = Nov2009 
 2*STD = 4.8698 
 -2*STD = -4.87  Date_of_death = Nov2009 
 2*STD = 4.8698 
 -2*STD = -4.87  Date_of_death = Oct2009 
 2*STD = 4.8698 
 -2*STD = -4.87  Date_of_death = Oct2009 
 2*STD = 4.8698 
 -2*STD = -4.87  Date_of_death = Sep2009 
 2*STD = 4.8699 
 -2*STD = -4.87  Date_of_death = Sep2009 
 2*STD = 4.8699 
 -2*STD = -4.87  Date_of_death = Aug2009 
 2*STD = 4.8699 
 -2*STD = -4.87  Date_of_death = Aug2009 
 2*STD = 4.8699 
 -2*STD = -4.87  Date_of_death = Jul2009 
 2*STD = 4.87 
 -2*STD = -4.87  Date_of_death = Jul2009 
 2*STD = 4.87 
 -2*STD = -4.87  Date_of_death = Jun2009 
 2*STD = 4.8701 
 -2*STD = -4.87  Date_of_death = Jun2009 
 2*STD = 4.8701 
 -2*STD = -4.87  Date_of_death = May2009 
 2*STD = 4.8701 
 -2*STD = -4.87  Date_of_death = May2009 
 2*STD = 4.8701 
 -2*STD = -4.87  Date_of_death = Apr2009 
 2*STD = 4.8702 
 -2*STD = -4.87  Date_of_death = Apr2009 
 2*STD = 4.8702 
 -2*STD = -4.87  Date_of_death = Mar2009 
 2*STD = 4.8703 
 -2*STD = -4.87  Date_of_death = Mar2009 
 2*STD = 4.8703 
 -2*STD = -4.87  Date_of_death = Feb2009 
 2*STD = 4.8704 
 -2*STD = -4.87  Date_of_death = Feb2009 
 2*STD = 4.8704 
 -2*STD = -4.87  Date_of_death = Jan2009 
 2*STD = 4.8705 
 -2*STD = -4.871  Date_of_death = Jan2009 
 2*STD = 4.8705 
 -2*STD = -4.871  Date_of_death = Dec2008 
 2*STD = 4.898 
 -2*STD = -4.898  Date_of_death = Dec2008 
 2*STD = 4.898 
 -2*STD = -4.898  Date_of_death = Nov2008 
 2*STD = 4.8981 
 -2*STD = -4.898  Date_of_death = Nov2008 
 2*STD = 4.8981 
 -2*STD = -4.898  Date_of_death = Oct2008 
 2*STD = 4.8981 
 -2*STD = -4.898  Date_of_death = Oct2008 
 2*STD = 4.8981 
 -2*STD = -4.898  Date_of_death = Sep2008 
 2*STD = 4.8982 
 -2*STD = -4.898  Date_of_death = Sep2008 
 2*STD = 4.8982 
 -2*STD = -4.898  Date_of_death = Aug2008 
 2*STD = 4.8982 
 -2*STD = -4.898  Date_of_death = Aug2008 
 2*STD = 4.8982 
 -2*STD = -4.898  Date_of_death = Jul2008 
 2*STD = 4.8983 
 -2*STD = -4.898  Date_of_death = Jul2008 
 2*STD = 4.8983 
 -2*STD = -4.898  Date_of_death = Jun2008 
 2*STD = 4.8984 
 -2*STD = -4.898  Date_of_death = Jun2008 
 2*STD = 4.8984 
 -2*STD = -4.898  Date_of_death = May2008 
 2*STD = 4.8984 
 -2*STD = -4.898  Date_of_death = May2008 
 2*STD = 4.8984 
 -2*STD = -4.898  Date_of_death = Apr2008 
 2*STD = 4.8985 
 -2*STD = -4.899  Date_of_death = Apr2008 
 2*STD = 4.8985 
 -2*STD = -4.899  Date_of_death = Mar2008 
 2*STD = 4.8986 
 -2*STD = -4.899  Date_of_death = Mar2008 
 2*STD = 4.8986 
 -2*STD = -4.899  Date_of_death = Feb2008 
 2*STD = 4.8987 
 -2*STD = -4.899  Date_of_death = Feb2008 
 2*STD = 4.8987 
 -2*STD = -4.899  Date_of_death = Jan2008 
 2*STD = 4.8988 
 -2*STD = -4.899  Date_of_death = Jan2008 
 2*STD = 4.8988 
 -2*STD = -4.899  Date_of_death = Dec2007 
 2*STD = 4.9344 
 -2*STD = -4.934  Date_of_death = Dec2007 
 2*STD = 4.9344 
 -2*STD = -4.934  Date_of_death = Nov2007 
 2*STD = 4.9344 
 -2*STD = -4.934  Date_of_death = Nov2007 
 2*STD = 4.9344 
 -2*STD = -4.934  Date_of_death = Oct2007 
 2*STD = 4.9345 
 -2*STD = -4.934  Date_of_death = Oct2007 
 2*STD = 4.9345 
 -2*STD = -4.934  Date_of_death = Sep2007 
 2*STD = 4.9345 
 -2*STD = -4.935  Date_of_death = Sep2007 
 2*STD = 4.9345 
 -2*STD = -4.935  Date_of_death = Aug2007 
 2*STD = 4.9346 
 -2*STD = -4.935  Date_of_death = Aug2007 
 2*STD = 4.9346 
 -2*STD = -4.935  Date_of_death = Jul2007 
 2*STD = 4.9346 
 -2*STD = -4.935  Date_of_death = Jul2007 
 2*STD = 4.9346 
 -2*STD = -4.935  Date_of_death = Jun2007 
 2*STD = 4.9347 
 -2*STD = -4.935  Date_of_death = Jun2007 
 2*STD = 4.9347 
 -2*STD = -4.935  Date_of_death = May2007 
 2*STD = 4.9347 
 -2*STD = -4.935  Date_of_death = May2007 
 2*STD = 4.9347 
 -2*STD = -4.935  Date_of_death = Apr2007 
 2*STD = 4.9348 
 -2*STD = -4.935  Date_of_death = Apr2007 
 2*STD = 4.9348 
 -2*STD = -4.935  Date_of_death = Mar2007 
 2*STD = 4.9349 
 -2*STD = -4.935  Date_of_death = Mar2007 
 2*STD = 4.9349 
 -2*STD = -4.935  Date_of_death = Feb2007 
 2*STD = 4.935 
 -2*STD = -4.935  Date_of_death = Feb2007 
 2*STD = 4.935 
 -2*STD = -4.935  Date_of_death = Jan2007 
 2*STD = 4.9351 
 -2*STD = -4.935  Date_of_death = Jan2007 
 2*STD = 4.9351 
 -2*STD = -4.935  Date_of_death = Dec2006 
 2*STD = 4.9827 
 -2*STD = -4.983  Date_of_death = Dec2006 
 2*STD = 4.9827 
 -2*STD = -4.983  Date_of_death = Nov2006 
 2*STD = 4.9828 
 -2*STD = -4.983  Date_of_death = Nov2006 
 2*STD = 4.9828 
 -2*STD = -4.983  Date_of_death = Oct2006 
 2*STD = 4.9828 
 -2*STD = -4.983  Date_of_death = Oct2006 
 2*STD = 4.9828 
 -2*STD = -4.983  Date_of_death = Sep2006 
 2*STD = 4.9829 
 -2*STD = -4.983  Date_of_death = Sep2006 
 2*STD = 4.9829 
 -2*STD = -4.983  Date_of_death = Aug2006 
 2*STD = 4.9829 
 -2*STD = -4.983  Date_of_death = Aug2006 
 2*STD = 4.9829 
 -2*STD = -4.983  Date_of_death = Jul2006 
 2*STD = 4.983 
 -2*STD = -4.983  Date_of_death = Jul2006 
 2*STD = 4.983 
 -2*STD = -4.983  Date_of_death = Jun2006 
 2*STD = 4.983 
 -2*STD = -4.983  Date_of_death = Jun2006 
 2*STD = 4.983 
 -2*STD = -4.983  Date_of_death = May2006 
 2*STD = 4.9831 
 -2*STD = -4.983  Date_of_death = May2006 
 2*STD = 4.9831 
 -2*STD = -4.983  Date_of_death = Apr2006 
 2*STD = 4.9831 
 -2*STD = -4.983  Date_of_death = Apr2006 
 2*STD = 4.9831 
 -2*STD = -4.983  Date_of_death = Mar2006 
 2*STD = 4.9832 
 -2*STD = -4.983  Date_of_death = Mar2006 
 2*STD = 4.9832 
 -2*STD = -4.983  Date_of_death = Feb2006 
 2*STD = 4.9833 
 -2*STD = -4.983  Date_of_death = Feb2006 
 2*STD = 4.9833 
 -2*STD = -4.983  Date_of_death = Jan2006 
 2*STD = 4.9834 
 -2*STD = -4.983  Date_of_death = Jan2006 
 2*STD = 4.9834 
 -2*STD = -4.983  Date_of_death = Dec2005 
 2*STD = 5.0502 
 -2*STD = -5.05  Date_of_death = Dec2005 
 2*STD = 5.0502 
 -2*STD = -5.05  Date_of_death = Nov2005 
 2*STD = 5.0502 
 -2*STD = -5.05  Date_of_death = Nov2005 
 2*STD = 5.0502 
 -2*STD = -5.05  Date_of_death = Oct2005 
 2*STD = 5.0503 
 -2*STD = -5.05  Date_of_death = Oct2005 
 2*STD = 5.0503 
 -2*STD = -5.05  Date_of_death = Sep2005 
 2*STD = 5.0503 
 -2*STD = -5.05  Date_of_death = Sep2005 
 2*STD = 5.0503 
 -2*STD = -5.05  Date_of_death = Aug2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = Aug2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = Jul2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = Jul2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = Jun2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = Jun2005 
 2*STD = 5.0504 
 -2*STD = -5.05  Date_of_death = May2005 
 2*STD = 5.0505 
 -2*STD = -5.05  Date_of_death = May2005 
 2*STD = 5.0505 
 -2*STD = -5.05  Date_of_death = Apr2005 
 2*STD = 5.0506 
 -2*STD = -5.051  Date_of_death = Apr2005 
 2*STD = 5.0506 
 -2*STD = -5.051  Date_of_death = Mar2005 
 2*STD = 5.0506 
 -2*STD = -5.051  Date_of_death = Mar2005 
 2*STD = 5.0506 
 -2*STD = -5.051  Date_of_death = Feb2005 
 2*STD = 5.0507 
 -2*STD = -5.051  Date_of_death = Feb2005 
 2*STD = 5.0507 
 -2*STD = -5.051  Date_of_death = Jan2005 
 2*STD = 5.0508 
 -2*STD = -5.051  Date_of_death = Jan2005 
 2*STD = 5.0508 
 -2*STD = -5.051  Date_of_death = Dec2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Dec2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Nov2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Nov2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Oct2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Oct2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Sep2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Sep2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Aug2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Aug2004 
 2*STD = 5.1507 
 -2*STD = -5.151  Date_of_death = Jul2004 
 2*STD = 5.1508 
 -2*STD = -5.151  Date_of_death = Jul2004 
 2*STD = 5.1508 
 -2*STD = -5.151  Date_of_death = Jun2004 
 2*STD = 5.1508 
 -2*STD = -5.151  Date_of_death = Jun2004 
 2*STD = 5.1508 
 -2*STD = -5.151  Date_of_death = May2004 
 2*STD = 5.1509 
 -2*STD = -5.151  Date_of_death = May2004 
 2*STD = 5.1509 
 -2*STD = -5.151  Date_of_death = Apr2004 
 2*STD = 5.1509 
 -2*STD = -5.151  Date_of_death = Apr2004 
 2*STD = 5.1509 
 -2*STD = -5.151  Date_of_death = Mar2004 
 2*STD = 5.151 
 -2*STD = -5.151  Date_of_death = Mar2004 
 2*STD = 5.151 
 -2*STD = -5.151  Date_of_death = Feb2004 
 2*STD = 5.151 
 -2*STD = -5.151  Date_of_death = Feb2004 
 2*STD = 5.151 
 -2*STD = -5.151  Date_of_death = Jan2004 
 2*STD = 5.1511 
 -2*STD = -5.151  Date_of_death = Jan2004 
 2*STD = 5.1511 
 -2*STD = -5.151  Date_of_death = Dec2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Dec2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Nov2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Nov2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Oct2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Oct2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Sep2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Sep2003 
 2*STD = 5.3153 
 -2*STD = -5.315  Date_of_death = Aug2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Aug2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Jul2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Jul2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Jun2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Jun2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = May2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = May2003 
 2*STD = 5.3154 
 -2*STD = -5.315  Date_of_death = Apr2003 
 2*STD = 5.3155 
 -2*STD = -5.315  Date_of_death = Apr2003 
 2*STD = 5.3155 
 -2*STD = -5.315  Date_of_death = Mar2003 
 2*STD = 5.3155 
 -2*STD = -5.316  Date_of_death = Mar2003 
 2*STD = 5.3155 
 -2*STD = -5.316  Date_of_death = Feb2003 
 2*STD = 5.3156 
 -2*STD = -5.316  Date_of_death = Feb2003 
 2*STD = 5.3156 
 -2*STD = -5.316  Date_of_death = Jan2003 
 2*STD = 5.3156 
 -2*STD = -5.316  Date_of_death = Jan2003 
 2*STD = 5.3156 
 -2*STD = -5.316  Date_of_death = Dec2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Dec2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Nov2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Nov2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Oct2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Oct2002 
 2*STD = 5.6327 
 -2*STD = -5.633  Date_of_death = Sep2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Sep2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Aug2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Aug2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Jul2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Jul2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Jun2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Jun2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = May2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = May2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Apr2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Apr2002 
 2*STD = 5.6328 
 -2*STD = -5.633  Date_of_death = Mar2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Mar2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Feb2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Feb2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Jan2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Jan2002 
 2*STD = 5.6329 
 -2*STD = -5.633  Date_of_death = Dec2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Dec2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Nov2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Nov2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Oct2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Oct2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Sep2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Sep2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Aug2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Aug2001 
 2*STD = 6.4979 
 -2*STD = -6.498  Date_of_death = Jul2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Jul2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Jun2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Jun2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = May2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = May2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Apr2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Apr2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Mar2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Mar2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Feb2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Feb2001 
 2*STD = 6.498 
 -2*STD = -6.498  Date_of_death = Jan2001 
 2*STD = 6.498 
 -2*STD = -6.498  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 OCT2019 2.127864 2.37503 -2.527111 6.782840
239 NOV2019 3.026517 2.37540 -1.629181 7.682216
240 DEC2019 2.714638 2.37577 -1.941777 7.371053
241 JAN2020 2.638005 2.37365 -2.014255 7.290265
242 FEB2020 2.541720 2.37401 -2.111244 7.194684
243 MAR2020 2.445437 2.37436 -2.208226 7.099100
244 APR2020 2.899160 2.37471 -1.755196 7.553515
245 MAY2020 3.602876 2.37507 -1.052167 8.257919
246 JUN2020 3.256597 2.37541 -1.399127 7.912321
247 JUL2020 3.360312 2.37576 -1.296087 8.016712
248 AUG2020 2.414035 2.37610 -2.243034 7.071104
249 SEP2020 3.017751 2.37644 -1.639982 7.675484

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 3.0178  Date_of_death = Aug2020 
 Forecast = 2.4140  Date_of_death = Aug2020 
 Forecast = 2.4140  Date_of_death = Jul2020 
 Forecast = 3.3603  Date_of_death = Jul2020 
 Forecast = 3.3603  Date_of_death = Jun2020 
 Forecast = 3.2566  Date_of_death = Jun2020 
 Forecast = 3.2566  Date_of_death = May2020 
 Forecast = 3.6029  Date_of_death = May2020 
 Forecast = 3.6029  Date_of_death = Apr2020 
 Forecast = 2.8992  Date_of_death = Apr2020 
 Forecast = 2.8992  Date_of_death = Mar2020 
 Forecast = 2.4454  Date_of_death = Mar2020 
 Forecast = 2.4454  Date_of_death = Feb2020 
 Forecast = 2.5417  Date_of_death = Feb2020 
 Forecast = 2.5417  Date_of_death = Jan2020 
 Forecast = 2.6380  Date_of_death = Jan2020 
 Forecast = 2.6380  Date_of_death = Dec2019 
 Forecast = 2.7146  Date_of_death = Dec2019 
 Forecast = 2.7146  Date_of_death = Nov2019 
 Forecast = 3.0265  Date_of_death = Nov2019 
 Forecast = 3.0265  Date_of_death = Oct2019 
 Forecast = 2.1279  Date_of_death = Sep2020 
 Upper 95% = 7.6755 
 Lower 95% = -1.6400  Date_of_death = Aug2020 
 Upper 95% = 7.0711 
 Lower 95% = -2.2430  Date_of_death = Aug2020 
 Upper 95% = 7.0711 
 Lower 95% = -2.2430  Date_of_death = Jul2020 
 Upper 95% = 8.0167 
 Lower 95% = -1.2961  Date_of_death = Jul2020 
 Upper 95% = 8.0167 
 Lower 95% = -1.2961  Date_of_death = Jun2020 
 Upper 95% = 7.9123 
 Lower 95% = -1.3991  Date_of_death = Jun2020 
 Upper 95% = 7.9123 
 Lower 95% = -1.3991  Date_of_death = May2020 
 Upper 95% = 8.2579 
 Lower 95% = -1.0522  Date_of_death = May2020 
 Upper 95% = 8.2579 
 Lower 95% = -1.0522  Date_of_death = Apr2020 
 Upper 95% = 7.5535 
 Lower 95% = -1.7552  Date_of_death = Apr2020 
 Upper 95% = 7.5535 
 Lower 95% = -1.7552  Date_of_death = Mar2020 
 Upper 95% = 7.0991 
 Lower 95% = -2.2082  Date_of_death = Mar2020 
 Upper 95% = 7.0991 
 Lower 95% = -2.2082  Date_of_death = Feb2020 
 Upper 95% = 7.1947 
 Lower 95% = -2.1112  Date_of_death = Feb2020 
 Upper 95% = 7.1947 
 Lower 95% = -2.1112  Date_of_death = Jan2020 
 Upper 95% = 7.2903 
 Lower 95% = -2.0143  Date_of_death = Jan2020 
 Upper 95% = 7.2903 
 Lower 95% = -2.0143  Date_of_death = Dec2019 
 Upper 95% = 7.3711 
 Lower 95% = -1.9418  Date_of_death = Dec2019 
 Upper 95% = 7.3711 
 Lower 95% = -1.9418  Date_of_death = Nov2019 
 Upper 95% = 7.6822 
 Lower 95% = -1.6292  Date_of_death = Nov2019 
 Upper 95% = 7.6822 
 Lower 95% = -1.6292  Date_of_death = Oct2019 
 Upper 95% = 6.7828 
 Lower 95% = -2.5271
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 3.0178  Date_of_death = Aug2020 
 Forecast = 2.4140  Date_of_death = Aug2020 
 Forecast = 2.4140  Date_of_death = Jul2020 
 Forecast = 3.3603  Date_of_death = Jul2020 
 Forecast = 3.3603  Date_of_death = Jun2020 
 Forecast = 3.2566  Date_of_death = Jun2020 
 Forecast = 3.2566  Date_of_death = May2020 
 Forecast = 3.6029  Date_of_death = May2020 
 Forecast = 3.6029  Date_of_death = Apr2020 
 Forecast = 2.8992  Date_of_death = Apr2020 
 Forecast = 2.8992  Date_of_death = Mar2020 
 Forecast = 2.4454  Date_of_death = Mar2020 
 Forecast = 2.4454  Date_of_death = Feb2020 
 Forecast = 2.5417  Date_of_death = Feb2020 
 Forecast = 2.5417  Date_of_death = Jan2020 
 Forecast = 2.6380  Date_of_death = Jan2020 
 Forecast = 2.6380  Date_of_death = Dec2019 
 Forecast = 2.7146  Date_of_death = Dec2019 
 Forecast = 2.7146  Date_of_death = Nov2019 
 Forecast = 3.0265  Date_of_death = Nov2019 
 Forecast = 3.0265  Date_of_death = Oct2019 
 Forecast = 2.1279  Date_of_death = Oct2019 
 Forecast = 2.1279  Date_of_death = Sep2019 
 Forecast = 3.0910  Date_of_death = Sep2019 
 Forecast = 3.0910  Date_of_death = Aug2019 
 Forecast = 2.5360  Date_of_death = Aug2019 
 Forecast = 2.5360  Date_of_death = Jul2019 
 Forecast = 3.5070  Date_of_death = Jul2019 
 Forecast = 3.5070  Date_of_death = Jun2019 
 Forecast = 3.3519  Date_of_death = Jun2019 
 Forecast = 3.3519  Date_of_death = May2019 
 Forecast = 3.8742  Date_of_death = May2019 
 Forecast = 3.8742  Date_of_death = Apr2019 
 Forecast = 3.1735  Date_of_death = Apr2019 
 Forecast = 3.1735  Date_of_death = Mar2019 
 Forecast = 2.6561  Date_of_death = Mar2019 
 Forecast = 2.6561  Date_of_death = Feb2019 
 Forecast = 2.4840  Date_of_death = Feb2019 
 Forecast = 2.4840  Date_of_death = Jan2019 
 Forecast = 2.5227  Date_of_death = Jan2019 
 Forecast = 2.5227  Date_of_death = Dec2018 
 Forecast = 2.9055  Date_of_death = Dec2018 
 Forecast = 2.9055  Date_of_death = Nov2018 
 Forecast = 3.1263  Date_of_death = Nov2018 
 Forecast = 3.1263  Date_of_death = Oct2018 
 Forecast = 2.3127  Date_of_death = Oct2018 
 Forecast = 2.3127  Date_of_death = Sep2018 
 Forecast = 3.3511  Date_of_death = Sep2018 
 Forecast = 3.3511  Date_of_death = Aug2018 
 Forecast = 2.6188  Date_of_death = Aug2018 
 Forecast = 2.6188  Date_of_death = Jul2018 
 Forecast = 3.7762  Date_of_death = Jul2018 
 Forecast = 3.7762  Date_of_death = Jun2018 
 Forecast = 3.6540  Date_of_death = Jun2018 
 Forecast = 3.6540  Date_of_death = May2018 
 Forecast = 3.8347  Date_of_death = May2018 
 Forecast = 3.8347  Date_of_death = Apr2018 
 Forecast = 3.1498  Date_of_death = Apr2018 
 Forecast = 3.1498  Date_of_death = Mar2018 
 Forecast = 2.7899  Date_of_death = Mar2018 
 Forecast = 2.7899  Date_of_death = Feb2018 
 Forecast = 2.7066  Date_of_death = Feb2018 
 Forecast = 2.7066  Date_of_death = Jan2018 
 Forecast = 2.6984  Date_of_death = Jan2018 
 Forecast = 2.6984  Date_of_death = Dec2017 
 Forecast = 3.2222  Date_of_death = Dec2017 
 Forecast = 3.2222  Date_of_death = Nov2017 
 Forecast = 3.1100  Date_of_death = Nov2017 
 Forecast = 3.1100  Date_of_death = Oct2017 
 Forecast = 2.1572  Date_of_death = Oct2017 
 Forecast = 2.1572  Date_of_death = Sep2017 
 Forecast = 3.4739  Date_of_death = Sep2017 
 Forecast = 3.4739  Date_of_death = Aug2017 
 Forecast = 2.6408  Date_of_death = Aug2017 
 Forecast = 2.6408  Date_of_death = Jul2017 
 Forecast = 3.9064  Date_of_death = Jul2017 
 Forecast = 3.9064  Date_of_death = Jun2017 
 Forecast = 3.4466  Date_of_death = Jun2017 
 Forecast = 3.4466  Date_of_death = May2017 
 Forecast = 3.6369  Date_of_death = May2017 
 Forecast = 3.6369  Date_of_death = Apr2017 
 Forecast = 2.8721  Date_of_death = Apr2017 
 Forecast = 2.8721  Date_of_death = Mar2017 
 Forecast = 2.7821  Date_of_death = Mar2017 
 Forecast = 2.7821  Date_of_death = Feb2017 
 Forecast = 2.6907  Date_of_death = Feb2017 
 Forecast = 2.6907  Date_of_death = Jan2017 
 Forecast = 2.7176  Date_of_death = Jan2017 
 Forecast = 2.7176  Date_of_death = Dec2016 
 Forecast = 3.2785  Date_of_death = Dec2016 
 Forecast = 3.2785  Date_of_death = Nov2016 
 Forecast = 3.2515  Date_of_death = Nov2016 
 Forecast = 3.2515  Date_of_death = Oct2016 
 Forecast = 2.3340  Date_of_death = Oct2016 
 Forecast = 2.3340  Date_of_death = Sep2016 
 Forecast = 3.3477  Date_of_death = Sep2016 
 Forecast = 3.3477  Date_of_death = Aug2016 
 Forecast = 2.6509  Date_of_death = Aug2016 
 Forecast = 2.6509  Date_of_death = Jul2016 
 Forecast = 3.9771  Date_of_death = Jul2016 
 Forecast = 3.9771  Date_of_death = Jun2016 
 Forecast = 3.6272  Date_of_death = Jun2016 
 Forecast = 3.6272  Date_of_death = May2016 
 Forecast = 3.9886  Date_of_death = May2016 
 Forecast = 3.9886  Date_of_death = Apr2016 
 Forecast = 3.2755  Date_of_death = Apr2016 
 Forecast = 3.2755  Date_of_death = Mar2016 
 Forecast = 3.1862  Date_of_death = Mar2016 
 Forecast = 3.1862  Date_of_death = Feb2016 
 Forecast = 3.0956  Date_of_death = Feb2016 
 Forecast = 3.0956  Date_of_death = Jan2016 
 Forecast = 2.7240  Date_of_death = Jan2016 
 Forecast = 2.7240  Date_of_death = Dec2015 
 Forecast = 3.2185  Date_of_death = Dec2015 
 Forecast = 3.2185  Date_of_death = Nov2015 
 Forecast = 3.1000  Date_of_death = Nov2015 
 Forecast = 3.1000  Date_of_death = Oct2015 
 Forecast = 2.4549  Date_of_death = Oct2015 
 Forecast = 2.4549  Date_of_death = Sep2015 
 Forecast = 3.2046  Date_of_death = Sep2015 
 Forecast = 3.2046  Date_of_death = Aug2015 
 Forecast = 2.7474  Date_of_death = Aug2015 
 Forecast = 2.7474  Date_of_death = Jul2015 
 Forecast = 4.2665  Date_of_death = Jul2015 
 Forecast = 4.2665  Date_of_death = Jun2015 
 Forecast = 3.9133  Date_of_death = Jun2015 
 Forecast = 3.9133  Date_of_death = May2015 
 Forecast = 4.3005  Date_of_death = May2015 
 Forecast = 4.3005  Date_of_death = Apr2015 
 Forecast = 3.5419  Date_of_death = Apr2015 
 Forecast = 3.5419  Date_of_death = Mar2015 
 Forecast = 3.3635  Date_of_death = Mar2015 
 Forecast = 3.3635  Date_of_death = Feb2015 
 Forecast = 3.3352  Date_of_death = Feb2015 
 Forecast = 3.3352  Date_of_death = Jan2015 
 Forecast = 2.6091  Date_of_death = Jan2015 
 Forecast = 2.6091  Date_of_death = Dec2014 
 Forecast = 3.1250  Date_of_death = Dec2014 
 Forecast = 3.1250  Date_of_death = Nov2014 
 Forecast = 3.0017  Date_of_death = Nov2014 
 Forecast = 3.0017  Date_of_death = Oct2014 
 Forecast = 2.4907  Date_of_death = Oct2014 
 Forecast = 2.4907  Date_of_death = Sep2014 
 Forecast = 3.4407  Date_of_death = Sep2014 
 Forecast = 3.4407  Date_of_death = Aug2014 
 Forecast = 2.5959  Date_of_death = Aug2014 
 Forecast = 2.5959  Date_of_death = Jul2014 
 Forecast = 4.1334  Date_of_death = Jul2014 
 Forecast = 4.1334  Date_of_death = Jun2014 
 Forecast = 4.1108  Date_of_death = Jun2014 
 Forecast = 4.1108  Date_of_death = May2014 
 Forecast = 4.3449  Date_of_death = May2014 
 Forecast = 4.3449  Date_of_death = Apr2014 
 Forecast = 3.2245  Date_of_death = Apr2014 
 Forecast = 3.2245  Date_of_death = Mar2014 
 Forecast = 3.1357  Date_of_death = Mar2014 
 Forecast = 3.1357  Date_of_death = Feb2014 
 Forecast = 3.3145  Date_of_death = Feb2014 
 Forecast = 3.3145  Date_of_death = Jan2014 
 Forecast = 2.5351  Date_of_death = Jan2014 
 Forecast = 2.5351  Date_of_death = Dec2013 
 Forecast = 3.2590  Date_of_death = Dec2013 
 Forecast = 3.2590  Date_of_death = Nov2013 
 Forecast = 3.1208  Date_of_death = Nov2013 
 Forecast = 3.1208  Date_of_death = Oct2013 
 Forecast = 2.6841  Date_of_death = Oct2013 
 Forecast = 2.6841  Date_of_death = Sep2013 
 Forecast = 3.7261  Date_of_death = Sep2013 
 Forecast = 3.7261  Date_of_death = Aug2013 
 Forecast = 2.8144  Date_of_death = Aug2013 
 Forecast = 2.8144  Date_of_death = Jul2013 
 Forecast = 4.6411  Date_of_death = Jul2013 
 Forecast = 4.6411  Date_of_death = Jun2013 
 Forecast = 4.1482  Date_of_death = Jun2013 
 Forecast = 4.1482  Date_of_death = May2013 
 Forecast = 4.3506  Date_of_death = May2013 
 Forecast = 4.3506  Date_of_death = Apr2013 
 Forecast = 3.1485  Date_of_death = Apr2013 
 Forecast = 3.1485  Date_of_death = Mar2013 
 Forecast = 3.4950  Date_of_death = Mar2013 
 Forecast = 3.4950  Date_of_death = Feb2013 
 Forecast = 3.2169  Date_of_death = Feb2013 
 Forecast = 3.2169  Date_of_death = Jan2013 
 Forecast = 2.3080  Date_of_death = Jan2013 
 Forecast = 2.3080  Date_of_death = Dec2012 
 Forecast = 3.2858  Date_of_death = Dec2012 
 Forecast = 3.2858  Date_of_death = Nov2012 
 Forecast = 3.3194  Date_of_death = Nov2012 
 Forecast = 3.3194  Date_of_death = Oct2012 
 Forecast = 2.8460  Date_of_death = Oct2012 
 Forecast = 2.8460  Date_of_death = Sep2012 
 Forecast = 3.9739  Date_of_death = Sep2012 
 Forecast = 3.9739  Date_of_death = Aug2012 
 Forecast = 2.9030  Date_of_death = Aug2012 
 Forecast = 2.9030  Date_of_death = Jul2012 
 Forecast = 4.4603  Date_of_death = Jul2012 
 Forecast = 4.4603  Date_of_death = Jun2012 
 Forecast = 3.9256  Date_of_death = Jun2012 
 Forecast = 3.9256  Date_of_death = May2012 
 Forecast = 4.6479  Date_of_death = May2012 
 Forecast = 4.6479  Date_of_death = Apr2012 
 Forecast = 3.4348  Date_of_death = Apr2012 
 Forecast = 3.4348  Date_of_death = Mar2012 
 Forecast = 3.3074  Date_of_death = Mar2012 
 Forecast = 3.3074  Date_of_death = Feb2012 
 Forecast = 3.0080  Date_of_death = Feb2012 
 Forecast = 3.0080  Date_of_death = Jan2012 
 Forecast = 2.3285  Date_of_death = Jan2012 
 Forecast = 2.3285  Date_of_death = Dec2011 
 Forecast = 3.6064  Date_of_death = Dec2011 
 Forecast = 3.6064  Date_of_death = Nov2011 
 Forecast = 3.6444  Date_of_death = Nov2011 
 Forecast = 3.6444  Date_of_death = Oct2011 
 Forecast = 3.0219  Date_of_death = Oct2011 
 Forecast = 3.0219  Date_of_death = Sep2011 
 Forecast = 4.3439  Date_of_death = Sep2011 
 Forecast = 4.3439  Date_of_death = Aug2011 
 Forecast = 3.1944  Date_of_death = Aug2011 
 Forecast = 3.1944  Date_of_death = Jul2011 
 Forecast = 4.7661  Date_of_death = Jul2011 
 Forecast = 4.7661  Date_of_death = Jun2011 
 Forecast = 3.9156  Date_of_death = Jun2011 
 Forecast = 3.9156  Date_of_death = May2011 
 Forecast = 4.6210  Date_of_death = May2011 
 Forecast = 4.6210  Date_of_death = Apr2011 
 Forecast = 3.7532  Date_of_death = Apr2011 
 Forecast = 3.7532  Date_of_death = Mar2011 
 Forecast = 3.7033  Date_of_death = Mar2011 
 Forecast = 3.7033  Date_of_death = Feb2011 
 Forecast = 2.9285  Date_of_death = Feb2011 
 Forecast = 2.9285  Date_of_death = Jan2011 
 Forecast = 2.6812  Date_of_death = Jan2011 
 Forecast = 2.6812  Date_of_death = Dec2010 
 Forecast = 4.0986  Date_of_death = Dec2010 
 Forecast = 4.0986  Date_of_death = Nov2010 
 Forecast = 3.5633  Date_of_death = Nov2010 
 Forecast = 3.5633  Date_of_death = Oct2010 
 Forecast = 2.8166  Date_of_death = Oct2010 
 Forecast = 2.8166  Date_of_death = Sep2010 
 Forecast = 4.1894  Date_of_death = Sep2010 
 Forecast = 4.1894  Date_of_death = Aug2010 
 Forecast = 2.8423  Date_of_death = Aug2010 
 Forecast = 2.8423  Date_of_death = Jul2010 
 Forecast = 4.5190  Date_of_death = Jul2010 
 Forecast = 4.5190  Date_of_death = Jun2010 
 Forecast = 3.5818  Date_of_death = Jun2010 
 Forecast = 3.5818  Date_of_death = May2010 
 Forecast = 4.3555  Date_of_death = May2010 
 Forecast = 4.3555  Date_of_death = Apr2010 
 Forecast = 3.3135  Date_of_death = Apr2010 
 Forecast = 3.3135  Date_of_death = Mar2010 
 Forecast = 3.1688  Date_of_death = Mar2010 
 Forecast = 3.1688  Date_of_death = Feb2010 
 Forecast = 2.8935  Date_of_death = Feb2010 
 Forecast = 2.8935  Date_of_death = Jan2010 
 Forecast = 2.0316  Date_of_death = Jan2010 
 Forecast = 2.0316  Date_of_death = Dec2009 
 Forecast = 3.4898  Date_of_death = Dec2009 
 Forecast = 3.4898  Date_of_death = Nov2009 
 Forecast = 3.5201  Date_of_death = Nov2009 
 Forecast = 3.5201  Date_of_death = Oct2009 
 Forecast = 2.7627  Date_of_death = Oct2009 
 Forecast = 2.7627  Date_of_death = Sep2009 
 Forecast = 3.7274  Date_of_death = Sep2009 
 Forecast = 3.7274  Date_of_death = Aug2009 
 Forecast = 2.8602  Date_of_death = Aug2009 
 Forecast = 2.8602  Date_of_death = Jul2009 
 Forecast = 4.7981  Date_of_death = Jul2009 
 Forecast = 4.7981  Date_of_death = Jun2009 
 Forecast = 3.7075  Date_of_death = Jun2009 
 Forecast = 3.7075  Date_of_death = May2009 
 Forecast = 4.3765  Date_of_death = May2009 
 Forecast = 4.3765  Date_of_death = Apr2009 
 Forecast = 3.6328  Date_of_death = Apr2009 
 Forecast = 3.6328  Date_of_death = Mar2009 
 Forecast = 3.5551  Date_of_death = Mar2009 
 Forecast = 3.5551  Date_of_death = Feb2009 
 Forecast = 3.2515  Date_of_death = Feb2009 
 Forecast = 3.2515  Date_of_death = Jan2009 
 Forecast = 2.3806  Date_of_death = Jan2009 
 Forecast = 2.3806  Date_of_death = Dec2008 
 Forecast = 3.4111  Date_of_death = Dec2008 
 Forecast = 3.4111  Date_of_death = Nov2008 
 Forecast = 3.3750  Date_of_death = Nov2008 
 Forecast = 3.3750  Date_of_death = Oct2008 
 Forecast = 2.8709  Date_of_death = Oct2008 
 Forecast = 2.8709  Date_of_death = Sep2008 
 Forecast = 4.0066  Date_of_death = Sep2008 
 Forecast = 4.0066  Date_of_death = Aug2008 
 Forecast = 3.1443  Date_of_death = Aug2008 
 Forecast = 3.1443  Date_of_death = Jul2008 
 Forecast = 4.7509  Date_of_death = Jul2008 
 Forecast = 4.7509  Date_of_death = Jun2008 
 Forecast = 3.4653  Date_of_death = Jun2008 
 Forecast = 3.4653  Date_of_death = May2008 
 Forecast = 4.1888  Date_of_death = May2008 
 Forecast = 4.1888  Date_of_death = Apr2008 
 Forecast = 3.2748  Date_of_death = Apr2008 
 Forecast = 3.2748  Date_of_death = Mar2008 
 Forecast = 3.6683  Date_of_death = Mar2008 
 Forecast = 3.6683  Date_of_death = Feb2008 
 Forecast = 2.7469  Date_of_death = Feb2008 
 Forecast = 2.7469  Date_of_death = Jan2008 
 Forecast = 2.2464  Date_of_death = Jan2008 
 Forecast = 2.2464  Date_of_death = Dec2007 
 Forecast = 2.8632  Date_of_death = Dec2007 
 Forecast = 2.8632  Date_of_death = Nov2007 
 Forecast = 3.6039  Date_of_death = Nov2007 
 Forecast = 3.6039  Date_of_death = Oct2007 
 Forecast = 3.0528  Date_of_death = Oct2007 
 Forecast = 3.0528  Date_of_death = Sep2007 
 Forecast = 4.3752  Date_of_death = Sep2007 
 Forecast = 4.3752  Date_of_death = Aug2007 
 Forecast = 3.4008  Date_of_death = Aug2007 
 Forecast = 3.4008  Date_of_death = Jul2007 
 Forecast = 5.3072  Date_of_death = Jul2007 
 Forecast = 5.3072  Date_of_death = Jun2007 
 Forecast = 3.9119  Date_of_death = Jun2007 
 Forecast = 3.9119  Date_of_death = May2007 
 Forecast = 4.8139  Date_of_death = May2007 
 Forecast = 4.8139  Date_of_death = Apr2007 
 Forecast = 3.8478  Date_of_death = Apr2007 
 Forecast = 3.8478  Date_of_death = Mar2007 
 Forecast = 4.3167  Date_of_death = Mar2007 
 Forecast = 4.3167  Date_of_death = Feb2007 
 Forecast = 3.1887  Date_of_death = Feb2007 
 Forecast = 3.1887  Date_of_death = Jan2007 
 Forecast = 2.6256  Date_of_death = Jan2007 
 Forecast = 2.6256  Date_of_death = Dec2006 
 Forecast = 3.5826  Date_of_death = Dec2006 
 Forecast = 3.5826  Date_of_death = Nov2006 
 Forecast = 3.5572  Date_of_death = Nov2006 
 Forecast = 3.5572  Date_of_death = Oct2006 
 Forecast = 3.5753  Date_of_death = Oct2006 
 Forecast = 3.5753  Date_of_death = Sep2006 
 Forecast = 5.2902  Date_of_death = Sep2006 
 Forecast = 5.2902  Date_of_death = Aug2006 
 Forecast = 3.9807  Date_of_death = Aug2006 
 Forecast = 3.9807  Date_of_death = Jul2006 
 Forecast = 5.4773  Date_of_death = Jul2006 
 Forecast = 5.4773  Date_of_death = Jun2006 
 Forecast = 3.7885  Date_of_death = Jun2006 
 Forecast = 3.7885  Date_of_death = May2006 
 Forecast = 5.6754  Date_of_death = May2006 
 Forecast = 5.6754  Date_of_death = Apr2006 
 Forecast = 3.6522  Date_of_death = Apr2006 
 Forecast = 3.6522  Date_of_death = Mar2006 
 Forecast = 4.1337  Date_of_death = Mar2006 
 Forecast = 4.1337  Date_of_death = Feb2006 
 Forecast = 2.7662  Date_of_death = Feb2006 
 Forecast = 2.7662  Date_of_death = Jan2006 
 Forecast = 2.0567  Date_of_death = Jan2006 
 Forecast = 2.0567  Date_of_death = Dec2005 
 Forecast = 3.0335  Date_of_death = Dec2005 
 Forecast = 3.0335  Date_of_death = Nov2005 
 Forecast = 3.0044  Date_of_death = Nov2005 
 Forecast = 3.0044  Date_of_death = Oct2005 
 Forecast = 2.9743  Date_of_death = Oct2005 
 Forecast = 2.9743  Date_of_death = Sep2005 
 Forecast = 4.9628  Date_of_death = Sep2005 
 Forecast = 4.9628  Date_of_death = Aug2005 
 Forecast = 3.3353  Date_of_death = Aug2005 
 Forecast = 3.3353  Date_of_death = Jul2005 
 Forecast = 5.1246  Date_of_death = Jul2005 
 Forecast = 5.1246  Date_of_death = Jun2005 
 Forecast = 3.0939  Date_of_death = Jun2005 
 Forecast = 3.0939  Date_of_death = May2005 
 Forecast = 5.9195  Date_of_death = May2005 
 Forecast = 5.9195  Date_of_death = Apr2005 
 Forecast = 3.9461  Date_of_death = Apr2005 
 Forecast = 3.9461  Date_of_death = Mar2005 
 Forecast = 3.9438  Date_of_death = Mar2005 
 Forecast = 3.9438  Date_of_death = Feb2005 
 Forecast = 2.9615  Date_of_death = Feb2005 
 Forecast = 2.9615  Date_of_death = Jan2005 
 Forecast = 2.1718  Date_of_death = Jan2005 
 Forecast = 2.1718  Date_of_death = Dec2004 
 Forecast = 3.4995  Date_of_death = Dec2004 
 Forecast = 3.4995  Date_of_death = Nov2004 
 Forecast = 2.2175  Date_of_death = Nov2004 
 Forecast = 2.2175  Date_of_death = Oct2004 
 Forecast = 3.4865  Date_of_death = Oct2004 
 Forecast = 3.4865  Date_of_death = Sep2004 
 Forecast = 4.7249  Date_of_death = Sep2004 
 Forecast = 4.7249  Date_of_death = Aug2004 
 Forecast = 3.9985  Date_of_death = Aug2004 
 Forecast = 3.9985  Date_of_death = Jul2004 
 Forecast = 4.9894  Date_of_death = Jul2004 
 Forecast = 4.9894  Date_of_death = Jun2004 
 Forecast = 3.7616  Date_of_death = Jun2004 
 Forecast = 3.7616  Date_of_death = May2004 
 Forecast = 6.0114  Date_of_death = May2004 
 Forecast = 6.0114  Date_of_death = Apr2004 
 Forecast = 3.4902  Date_of_death = Apr2004 
 Forecast = 3.4902  Date_of_death = Mar2004 
 Forecast = 3.4682  Date_of_death = Mar2004 
 Forecast = 3.4682  Date_of_death = Feb2004 
 Forecast = 2.1848  Date_of_death = Feb2004 
 Forecast = 2.1848  Date_of_death = Jan2004 
 Forecast = 2.1841  Date_of_death = Jan2004 
 Forecast = 2.1841  Date_of_death = Dec2003 
 Forecast = 2.5885  Date_of_death = Dec2003 
 Forecast = 2.5885  Date_of_death = Nov2003 
 Forecast = 2.5954  Date_of_death = Nov2003 
 Forecast = 2.5954  Date_of_death = Oct2003 
 Forecast = 4.2806  Date_of_death = Oct2003 
 Forecast = 4.2806  Date_of_death = Sep2003 
 Forecast = 5.9779  Date_of_death = Sep2003 
 Forecast = 5.9779  Date_of_death = Aug2003 
 Forecast = 3.2917  Date_of_death = Aug2003 
 Forecast = 3.2917  Date_of_death = Jul2003 
 Forecast = 4.6136  Date_of_death = Jul2003 
 Forecast = 4.6136  Date_of_death = Jun2003 
 Forecast = 4.2933  Date_of_death = Jun2003 
 Forecast = 4.2933  Date_of_death = May2003 
 Forecast = 5.9578  Date_of_death = May2003 
 Forecast = 5.9578  Date_of_death = Apr2003 
 Forecast = 2.5997  Date_of_death = Apr2003 
 Forecast = 2.5997  Date_of_death = Mar2003 
 Forecast = 4.2858  Date_of_death = Mar2003 
 Forecast = 4.2858  Date_of_death = Feb2003 
 Forecast = 2.6283  Date_of_death = Feb2003 
 Forecast = 2.6283  Date_of_death = Jan2003 
 Forecast = 2.6379  Date_of_death = Jan2003 
 Forecast = 2.6379  Date_of_death = Dec2002 
 Forecast = 3.4874  Date_of_death = Dec2002 
 Forecast = 3.4874  Date_of_death = Nov2002 
 Forecast = 0.9616  Date_of_death = Nov2002 
 Forecast = 0.9616  Date_of_death = Oct2002 
 Forecast = 5.9838  Date_of_death = Oct2002 
 Forecast = 5.9838  Date_of_death = Sep2002 
 Forecast = 5.9826  Date_of_death = Sep2002 
 Forecast = 5.9826  Date_of_death = Aug2002 
 Forecast = 3.4839  Date_of_death = Aug2002 
 Forecast = 3.4839  Date_of_death = Jul2002 
 Forecast = 6.0026  Date_of_death = Jul2002 
 Forecast = 6.0026  Date_of_death = Jun2002 
 Forecast = 3.4903  Date_of_death = Jun2002 
 Forecast = 3.4903  Date_of_death = May2002 
 Forecast = 5.9896  Date_of_death = May2002 
 Forecast = 5.9896  Date_of_death = Apr2002 
 Forecast = 3.5013  Date_of_death = Apr2002 
 Forecast = 3.5013  Date_of_death = Mar2002 
 Forecast = 3.4889  Date_of_death = Mar2002 
 Forecast = 3.4889  Date_of_death = Feb2002 
 Forecast = 3.5007  Date_of_death = Feb2002 
 Forecast = 3.5007  Date_of_death = Jan2002 
 Forecast = 0.9757  Date_of_death = Jan2002 
 Forecast = 0.9757  Date_of_death = Dec2001 
 Forecast = 5.9938  Date_of_death = Dec2001 
 Forecast = 5.9938  Date_of_death = Nov2001 
 Forecast = 0.9925  Date_of_death = Nov2001 
 Forecast = 0.9925  Date_of_death = Oct2001 
 Forecast = 5.9913  Date_of_death = Oct2001 
 Forecast = 5.9913  Date_of_death = Sep2001 
 Forecast = 5.9900  Date_of_death = Sep2001 
 Forecast = 5.9900  Date_of_death = Aug2001 
 Forecast = 6.0038  Date_of_death = Aug2001 
 Forecast = 6.0038  Date_of_death = Jul2001 
 Forecast = 6.0038  Date_of_death = Jul2001 
 Forecast = 6.0038  Date_of_death = Jun2001 
 Forecast = 0.9887  Date_of_death = Jun2001 
 Forecast = 0.9887  Date_of_death = May2001 
 Forecast = 5.9874  Date_of_death = May2001 
 Forecast = 5.9874  Date_of_death = Apr2001 
 Forecast = 6.0013  Date_of_death = Apr2001 
 Forecast = 6.0013  Date_of_death = Mar2001 
 Forecast = 0.9861  Date_of_death = Mar2001 
 Forecast = 0.9861  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 2.0000  Date_of_death = Aug2019 
 incidents = 1.0000  Date_of_death = Jul2019 
 incidents = 2.0000  Date_of_death = Jun2019 
 incidents = 3.0000  Date_of_death = May2019 
 incidents = 1.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 2.0000  Date_of_death = Feb2019 
 incidents = 6.0000  Date_of_death = Jan2019 
 incidents = 6.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 3.0000  Date_of_death = Oct2018 
 incidents = 1.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 3.0000  Date_of_death = Jul2018 
 incidents = 1.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 6.0000  Date_of_death = Apr2018 
 incidents = 4.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 3.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 6.0000  Date_of_death = Oct2017 
 incidents = 6.0000  Date_of_death = Sep2017 
 incidents = 2.0000  Date_of_death = Aug2017 
 incidents = 3.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 6.0000  Date_of_death = May2017 
 incidents = 6.0000  Date_of_death = Apr2017 
 incidents = 6.0000  Date_of_death = Mar2017 
 incidents = 1.0000  Date_of_death = Feb2017 
 incidents = 1.0000  Date_of_death = Jan2017 
 incidents = 1.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 1.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 6.0000  Date_of_death = Aug2016 
 incidents = 3.0000  Date_of_death = Jul2016 
 incidents = 3.0000  Date_of_death = Jun2016 
 incidents = 2.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 1.0000  Date_of_death = Feb2016 
 incidents = 1.0000  Date_of_death = Jan2016 
 incidents = 6.0000  Date_of_death = Dec2015 
 incidents = 6.0000  Date_of_death = Nov2015 
 incidents = 6.0000  Date_of_death = Oct2015 
 incidents = 1.0000  Date_of_death = Sep2015 
 incidents = 6.0000  Date_of_death = Aug2015 
 incidents = 2.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 2.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 6.0000  Date_of_death = Dec2014 
 incidents = 6.0000  Date_of_death = Nov2014 
 incidents = 6.0000  Date_of_death = Oct2014 
 incidents = 3.0000  Date_of_death = Sep2014 
 incidents = 2.0000  Date_of_death = Aug2014 
 incidents = 6.0000  Date_of_death = Jul2014 
 incidents = 6.0000  Date_of_death = Jun2014 
 incidents = 1.0000  Date_of_death = May2014 
 incidents = 3.0000  Date_of_death = Apr2014 
 incidents = 6.0000  Date_of_death = Mar2014 
 incidents = 4.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 2.0000  Date_of_death = Dec2013 
 incidents = 1.0000  Date_of_death = Nov2013 
 incidents = 2.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 1.0000  Date_of_death = Aug2013 
 incidents = 2.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 6.0000  Date_of_death = May2013 
 incidents = 6.0000  Date_of_death = Apr2013 
 incidents = 6.0000  Date_of_death = Mar2013 
 incidents = 1.0000  Date_of_death = Feb2013 
 incidents = 6.0000  Date_of_death = Jan2013 
 incidents = 6.0000  Date_of_death = Dec2012 
 incidents = 3.0000  Date_of_death = Nov2012 
 incidents = 1.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 1.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 6.0000  Date_of_death = Jun2012 
 incidents = 6.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 6.0000  Date_of_death = Feb2012 
 incidents = 6.0000  Date_of_death = Jan2012 
 incidents = 3.0000  Date_of_death = Dec2011 
 incidents = 1.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 2.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 1.0000  Date_of_death = Jul2011 
 incidents = 3.0000  Date_of_death = Jun2011 
 incidents = 6.0000  Date_of_death = May2011 
 incidents = 6.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 1.0000  Date_of_death = Feb2011 
 incidents = 6.0000  Date_of_death = Jan2011 
 incidents = 1.0000  Date_of_death = Dec2010 
 incidents = 1.0000  Date_of_death = Nov2010 
 incidents = 6.0000  Date_of_death = Oct2010 
 incidents = 6.0000  Date_of_death = Sep2010 
 incidents = 6.0000  Date_of_death = Aug2010 
 incidents = 6.0000  Date_of_death = Jul2010 
 incidents = 6.0000  Date_of_death = Jun2010 
 incidents = 6.0000  Date_of_death = May2010 
 incidents = 6.0000  Date_of_death = Apr2010 
 incidents = 6.0000  Date_of_death = Mar2010 
 incidents = 6.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 6.0000  Date_of_death = Dec2009 
 incidents = 6.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 1.0000  Date_of_death = Sep2009 
 incidents = 6.0000  Date_of_death = Aug2009 
 incidents = 1.0000  Date_of_death = Jul2009 
 incidents = 1.0000  Date_of_death = Jun2009 
 incidents = 2.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 1.0000  Date_of_death = Feb2009 
 incidents = 1.0000  Date_of_death = Jan2009 
 incidents = 1.0000  Date_of_death = Dec2008 
 incidents = 6.0000  Date_of_death = Nov2008 
 incidents = 6.0000  Date_of_death = Oct2008 
 incidents = 3.0000  Date_of_death = Sep2008 
 incidents = 3.0000  Date_of_death = Aug2008 
 incidents = 2.0000  Date_of_death = Jul2008 
 incidents = 6.0000  Date_of_death = Jun2008 
 incidents = 6.0000  Date_of_death = May2008 
 incidents = 6.0000  Date_of_death = Apr2008 
 incidents = 6.0000  Date_of_death = Mar2008 
 incidents = 2.0000  Date_of_death = Feb2008 
 incidents = 6.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 6.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 1.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 1.0000  Date_of_death = May2007 
 incidents = 1.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 1.0000  Date_of_death = Feb2007 
 incidents = 2.0000  Date_of_death = Jan2007 
 incidents = 2.0000  Date_of_death = Dec2006 
 incidents = 1.0000  Date_of_death = Nov2006 
 incidents = 6.0000  Date_of_death = Oct2006 
 incidents = 2.0000  Date_of_death = Sep2006 
 incidents = 1.0000  Date_of_death = Aug2006 
 incidents = 2.0000  Date_of_death = Jul2006 
 incidents = 6.0000  Date_of_death = Jun2006 
 incidents = 6.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 6.0000  Date_of_death = Mar2006 
 incidents = 6.0000  Date_of_death = Feb2006 
 incidents = 6.0000  Date_of_death = Jan2006 
 incidents = 6.0000  Date_of_death = Dec2005 
 incidents = 6.0000  Date_of_death = Nov2005 
 incidents = 6.0000  Date_of_death = Oct2005 
 incidents = 6.0000  Date_of_death = Sep2005 
 incidents = 6.0000  Date_of_death = Aug2005 
 incidents = 6.0000  Date_of_death = Jul2005 
 incidents = 6.0000  Date_of_death = Jun2005 
 incidents = 6.0000  Date_of_death = May2005 
 incidents = 3.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 4.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 1.0000  Date_of_death = Nov2004 
 incidents = 6.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 6.0000  Date_of_death = Aug2004 
 incidents = 1.0000  Date_of_death = Jul2004 
 incidents = 6.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 6.0000  Date_of_death = Apr2004 
 incidents = 6.0000  Date_of_death = Mar2004 
 incidents = 6.0000  Date_of_death = Feb2004 
 incidents = 6.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 6.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 1.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 6.0000  Date_of_death = Jul2003 
 incidents = 6.0000  Date_of_death = Jun2003 
 incidents = 2.0000  Date_of_death = May2003 
 incidents = 6.0000  Date_of_death = Apr2003 
 incidents = 6.0000  Date_of_death = Mar2003 
 incidents = 1.0000  Date_of_death = Feb2003 
 incidents = 1.0000  Date_of_death = Jan2003 
 incidents = 1.0000  Date_of_death = Dec2002 
 incidents = 1.0000  Date_of_death = Nov2002 
 incidents = 6.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 6.0000  Date_of_death = Aug2002 
 incidents = 3.0000  Date_of_death = Jul2002 
 incidents = 2.0000  Date_of_death = Jun2002 
 incidents = 6.0000  Date_of_death = May2002 
 incidents = 6.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 6.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 6.0000  Date_of_death = Dec2001 
 incidents = 1.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 6.0000  Date_of_death = Sep2001 
 incidents = 6.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 6.0000  Date_of_death = Jun2001 
 incidents = 6.0000  Date_of_death = May2001 
 incidents = 6.0000  Date_of_death = Apr2001 
 incidents = 1.0000  Date_of_death = Mar2001 
 incidents = 6.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Jan2001 
 incidents = 1.0000  Date_of_death = Sep2020 
 Upper 95% = 7.6755 
 Lower 95% = -1.6400  Date_of_death = Aug2020 
 Upper 95% = 7.0711 
 Lower 95% = -2.2430  Date_of_death = Aug2020 
 Upper 95% = 7.0711 
 Lower 95% = -2.2430  Date_of_death = Jul2020 
 Upper 95% = 8.0167 
 Lower 95% = -1.2961  Date_of_death = Jul2020 
 Upper 95% = 8.0167 
 Lower 95% = -1.2961  Date_of_death = Jun2020 
 Upper 95% = 7.9123 
 Lower 95% = -1.3991  Date_of_death = Jun2020 
 Upper 95% = 7.9123 
 Lower 95% = -1.3991  Date_of_death = May2020 
 Upper 95% = 8.2579 
 Lower 95% = -1.0522  Date_of_death = May2020 
 Upper 95% = 8.2579 
 Lower 95% = -1.0522  Date_of_death = Apr2020 
 Upper 95% = 7.5535 
 Lower 95% = -1.7552  Date_of_death = Apr2020 
 Upper 95% = 7.5535 
 Lower 95% = -1.7552  Date_of_death = Mar2020 
 Upper 95% = 7.0991 
 Lower 95% = -2.2082  Date_of_death = Mar2020 
 Upper 95% = 7.0991 
 Lower 95% = -2.2082  Date_of_death = Feb2020 
 Upper 95% = 7.1947 
 Lower 95% = -2.1112  Date_of_death = Feb2020 
 Upper 95% = 7.1947 
 Lower 95% = -2.1112  Date_of_death = Jan2020 
 Upper 95% = 7.2903 
 Lower 95% = -2.0143  Date_of_death = Jan2020 
 Upper 95% = 7.2903 
 Lower 95% = -2.0143  Date_of_death = Dec2019 
 Upper 95% = 7.3711 
 Lower 95% = -1.9418  Date_of_death = Dec2019 
 Upper 95% = 7.3711 
 Lower 95% = -1.9418  Date_of_death = Nov2019 
 Upper 95% = 7.6822 
 Lower 95% = -1.6292  Date_of_death = Nov2019 
 Upper 95% = 7.6822 
 Lower 95% = -1.6292  Date_of_death = Oct2019 
 Upper 95% = 6.7828 
 Lower 95% = -2.5271
Forecast Plot

County=Los Angeles

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 10.00000 3.80672 2.10796

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 10.00000 3.80672 2.10796

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.53986
Level Error Variance 1.32745
Season Error Variance 4.14160

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -509.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 238
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 226
AIC (smaller is better) 1025.3
BIC (smaller is better) 1035.5
AICC (smaller is better) 1025.4
HQIC (smaller is better) 1029.4
CAIC (smaller is better) 1038.5
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 4.37697 0.42071 10.40 <.0001
Level Error Variance 0.00270 0.0048735 0.55 0.5796
Season Error Variance 4.166321E-7 0.0002095 0.00 0.9984

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 226
Mean Squared Error 5.37843
Root Mean Squared Error 2.31914
Mean Absolute Percentage Error 67.88967
Maximum Percent Error 80.56736
R-Square -0.25985
Adjusted R-Square -0.27115
Random Walk R-Square 0.37494
Amemiya's Adjusted R-Square -0.29375

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 8.69 0.0032
Level 1 122.42 <.0001
Season 11 10.43 0.4921

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.62765455 0.3278716

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.166321E-7

Outlier Summary

Outlier Summary
Obs Date_of_death Break Type Estimate Standard
Error
Chi-Square DF Pr > ChiSq
12 DEC2000 Additive Outlier 7.14669 2.1675592 10.87 1 0.0010
18 JUN2001 Additive Outlier 6.75180 2.1617751 9.75 1 0.0018
167 NOV2013 Additive Outlier 6.61972 2.1590547 9.40 1 0.0022

Residual Diagnostics Panel

 Prediction Error = 9.8701 
 Percent = 0.0155  Prediction Error = 9.7451 
 Percent = 0.0232  Prediction Error = 9.7451 
 Percent = 0.0232  Prediction Error = 9.6202 
 Percent = 0.0338  Prediction Error = 9.6202 
 Percent = 0.0338  Prediction Error = 9.4953 
 Percent = 0.0479  Prediction Error = 9.4953 
 Percent = 0.0479  Prediction Error = 9.3703 
 Percent = 0.0662  Prediction Error = 9.3703 
 Percent = 0.0662  Prediction Error = 9.2454 
 Percent = 0.0889  Prediction Error = 9.2454 
 Percent = 0.0889  Prediction Error = 9.1204 
 Percent = 0.1163  Prediction Error = 9.1204 
 Percent = 0.1163  Prediction Error = 8.9955 
 Percent = 0.1483  Prediction Error = 8.9955 
 Percent = 0.1483  Prediction Error = 8.8706 
 Percent = 0.1843  Prediction Error = 8.8706 
 Percent = 0.1843  Prediction Error = 8.7456 
 Percent = 0.2235  Prediction Error = 8.7456 
 Percent = 0.2235  Prediction Error = 8.2459 
 Percent = 0.3924  Prediction Error = 8.2459 
 Percent = 0.3924  Prediction Error = 7.996 
 Percent = 0.4779  Prediction Error = 7.996 
 Percent = 0.4779  Prediction Error = 7.8711 
 Percent = 0.5242  Prediction Error = 7.8711 
 Percent = 0.5242  Prediction Error = 7.7462 
 Percent = 0.5763  Prediction Error = 7.7462 
 Percent = 0.5763  Prediction Error = 7.6212 
 Percent = 0.6373  Prediction Error = 7.6212 
 Percent = 0.6373  Prediction Error = 7.4963 
 Percent = 0.7105  Prediction Error = 7.4963 
 Percent = 0.7105  Prediction Error = 7.3714 
 Percent = 0.7987  Prediction Error = 7.3714 
 Percent = 0.7987  Prediction Error = 7.2464 
 Percent = 0.904  Prediction Error = 7.2464 
 Percent = 0.904  Prediction Error = 7.1215 
 Percent = 1.0268  Prediction Error = 7.1215 
 Percent = 1.0268  Prediction Error = 6.9966 
 Percent = 1.1663  Prediction Error = 6.9966 
 Percent = 1.1663  Prediction Error = 6.8716 
 Percent = 1.3199  Prediction Error = 6.8716 
 Percent = 1.3199  Prediction Error = 6.4968 
 Percent = 1.8193  Prediction Error = 6.4968 
 Percent = 1.8193  Prediction Error = 6.3719 
 Percent = 1.9791  Prediction Error = 6.3719 
 Percent = 1.9791  Prediction Error = 6.2469 
 Percent = 2.1257  Prediction Error = 6.2469 
 Percent = 2.1257  Prediction Error = 6.122 
 Percent = 2.254  Prediction Error = 6.122 
 Percent = 2.254  Prediction Error = 5.9971 
 Percent = 2.3607  Prediction Error = 5.9971 
 Percent = 2.3607  Prediction Error = 5.8721 
 Percent = 2.4445  Prediction Error = 5.8721 
 Percent = 2.4445  Prediction Error = 5.7472 
 Percent = 2.5063  Prediction Error = 5.7472 
 Percent = 2.5063  Prediction Error = 5.6223 
 Percent = 2.5501  Prediction Error = 5.6223 
 Percent = 2.5501  Prediction Error = 5.4973 
 Percent = 2.5827  Prediction Error = 5.4973 
 Percent = 2.5827  Prediction Error = 5.3724 
 Percent = 2.6132  Prediction Error = 5.3724 
 Percent = 2.6132  Prediction Error = 5.2475 
 Percent = 2.6532  Prediction Error = 5.2475 
 Percent = 2.6532  Prediction Error = 5.1225 
 Percent = 2.715  Prediction Error = 5.1225 
 Percent = 2.715  Prediction Error = 4.9976 
 Percent = 2.8111  Prediction Error = 4.9976 
 Percent = 2.8111  Prediction Error = 4.8727 
 Percent = 2.9527  Prediction Error = 4.8727 
 Percent = 2.9527  Prediction Error = 4.7477 
 Percent = 3.1484  Prediction Error = 4.7477 
 Percent = 3.1484  Prediction Error = 4.6228 
 Percent = 3.4033  Prediction Error = 4.6228 
 Percent = 3.4033  Prediction Error = 4.4979 
 Percent = 3.7185  Prediction Error = 4.4979 
 Percent = 3.7185  Prediction Error = 4.3729 
 Percent = 4.091  Prediction Error = 4.3729 
 Percent = 4.091  Prediction Error = 4.248 
 Percent = 4.5139  Prediction Error = 4.248 
 Percent = 4.5139  Prediction Error = 4.123 
 Percent = 4.9773  Prediction Error = 4.123 
 Percent = 4.9773  Prediction Error = 3.9981 
 Percent = 5.4698  Prediction Error = 3.9981 
 Percent = 5.4698  Prediction Error = 3.7482 
 Percent = 6.4937  Prediction Error = 3.7482 
 Percent = 6.4937  Prediction Error = 3.4984 
 Percent = 7.502  Prediction Error = 3.4984 
 Percent = 7.502  Prediction Error = 3.3734 
 Percent = 7.9846  Prediction Error = 3.3734 
 Percent = 7.9846  Prediction Error = 3.2485 
 Percent = 8.4512  Prediction Error = 3.2485 
 Percent = 8.4512  Prediction Error = 2.9986 
 Percent = 9.3526  Prediction Error = 2.9986 
 Percent = 9.3526  Prediction Error = 2.7488 
 Percent = 10.266  Prediction Error = 2.7488 
 Percent = 10.266  Prediction Error = 2.6238 
 Percent = 10.752  Prediction Error = 2.6238 
 Percent = 10.752  Prediction Error = 2.4989 
 Percent = 11.27  Prediction Error = 2.4989 
 Percent = 11.27  Prediction Error = 2.374 
 Percent = 11.827  Prediction Error = 2.374 
 Percent = 11.827  Prediction Error = 2.249 
 Percent = 12.426  Prediction Error = 2.249 
 Percent = 12.426  Prediction Error = 2.1241 
 Percent = 13.065  Prediction Error = 2.1241 
 Percent = 13.065  Prediction Error = 1.9992 
 Percent = 13.741  Prediction Error = 1.9992 
 Percent = 13.741  Prediction Error = 1.7493 
 Percent = 15.171  Prediction Error = 1.7493 
 Percent = 15.171  Prediction Error = 1.4994 
 Percent = 16.666  Prediction Error = 1.4994 
 Percent = 16.666  Prediction Error = 1.2495 
 Percent = 18.228  Prediction Error = 1.2495 
 Percent = 18.228  Prediction Error = 1.1246 
 Percent = 19.052  Prediction Error = 1.1246 
 Percent = 19.052  Prediction Error = 0.9997 
 Percent = 19.921  Prediction Error = 0.9997 
 Percent = 19.921  Prediction Error = 0.8747 
 Percent = 20.843  Prediction Error = 0.8747 
 Percent = 20.843  Prediction Error = 0.7498 
 Percent = 21.82  Prediction Error = 0.7498 
 Percent = 21.82  Prediction Error = 0.375 
 Percent = 24.961  Prediction Error = 0.375 
 Percent = 24.961  Prediction Error = 0.2501 
 Percent = 25.982  Prediction Error = 0.2501 
 Percent = 25.982  Prediction Error = 0.1251 
 Percent = 26.92  Prediction Error = 0.1251 
 Percent = 26.92  Prediction Error = 0.0002 
 Percent = 27.732  Prediction Error = 0.0002 
 Percent = 27.732  Prediction Error = -0.125 
 Percent = 28.377  Prediction Error = -0.125 
 Percent = 28.377  Prediction Error = -0.25 
 Percent = 28.824  Prediction Error = -0.25 
 Percent = 28.824  Prediction Error = -0.375 
 Percent = 29.054  Prediction Error = -0.375 
 Percent = 29.054  Prediction Error = -0.5 
 Percent = 29.063  Prediction Error = -0.5 
 Percent = 29.063  Prediction Error = -0.624 
 Percent = 28.859  Prediction Error = -0.624 
 Percent = 28.859  Prediction Error = -0.749 
 Percent = 28.464  Prediction Error = -0.749 
 Percent = 28.464  Prediction Error = -0.874 
 Percent = 27.905  Prediction Error = -0.874 
 Percent = 27.905  Prediction Error = -0.999 
 Percent = 27.218  Prediction Error = -0.999 
 Percent = 27.218  Prediction Error = -1.124 
 Percent = 26.436  Prediction Error = -1.124 
 Percent = 26.436  Prediction Error = -1.249 
 Percent = 25.591  Prediction Error = -1.249 
 Percent = 25.591  Prediction Error = -2.124 
 Percent = 19.318  Prediction Error = -2.124 
 Percent = 19.318  Prediction Error = -2.374 
 Percent = 17.447  Prediction Error = -2.374 
 Percent = 17.447  Prediction Error = -2.623 
 Percent = 15.473  Prediction Error = -2.623 
 Percent = 15.473  Prediction Error = -2.998 
 Percent = 12.343  Prediction Error = -2.998 
 Percent = 12.343  Prediction Error = -3.373 
 Percent = 9.1917  Prediction Error = -3.373 
 Percent = 9.1917  Prediction Error = -3.498 
 Percent = 8.1873  Prediction Error = -3.498 
 Percent = 8.1873  Prediction Error = -3.623 
 Percent = 7.225  Prediction Error = -3.623 
 Percent = 7.225  Prediction Error = -3.748 
 Percent = 6.3153  Prediction Error = -3.748 
 Percent = 6.3153  Prediction Error = -3.873 
 Percent = 5.4675  Prediction Error = -3.873 
 Percent = 5.4675  Prediction Error = -3.998 
 Percent = 4.689  Prediction Error = -3.998 
 Percent = 4.689  Prediction Error = -4.123 
 Percent = 3.9851  Prediction Error = -4.123 
 Percent = 3.9851  Prediction Error = -4.248 
 Percent = 3.3587  Prediction Error = -4.248 
 Percent = 3.3587  Prediction Error = -4.373 
 Percent = 2.8104  Prediction Error = -4.373 
 Percent = 2.8104  Prediction Error = -4.497 
 Percent = 2.3385  Prediction Error = -4.497 
 Percent = 2.3385  Prediction Error = -4.622 
 Percent = 1.9393  Prediction Error = -4.622 
 Percent = 1.9393  Prediction Error = -4.747 
 Percent = 1.6076  Prediction Error = -4.747 
 Percent = 1.6076  Prediction Error = -4.872 
 Percent = 1.3368  Prediction Error = -4.872 
 Percent = 1.3368  Prediction Error = -4.997 
 Percent = 1.12  Prediction Error = -4.997 
 Percent = 1.12  Prediction Error = -5.122 
 Percent = 0.9496  Prediction Error = -5.122 
 Percent = 0.9496  Prediction Error = -5.247 
 Percent = 0.818  Prediction Error = -5.247 
 Percent = 0.818  Prediction Error = -5.372 
 Percent = 0.718  Prediction Error = -5.372 
 Percent = 0.718  Prediction Error = -5.497 
 Percent = 0.6426  Prediction Error = -5.497 
 Percent = 0.6426  Prediction Error = -5.622 
 Percent = 0.5854  Prediction Error = -5.622 
 Percent = 0.5854  Prediction Error = -5.747 
 Percent = 0.541  Prediction Error = -5.747 
 Percent = 0.541  Prediction Error = -5.872 
 Percent = 0.5046  Prediction Error = -5.872 
 Percent = 0.5046  Prediction Error = -5.997 
 Percent = 0.4727  Prediction Error = -5.997 
 Percent = 0.4727  Prediction Error = -6.122 
 Percent = 0.4431  Prediction Error = -6.122 
 Percent = 0.4431  Prediction Error = -6.247 
 Percent = 0.4143  Prediction Error = -6.247 
 Percent = 0.4143  Prediction Error = -6.371 
 Percent = 0.3865  Prediction Error = -6.371 
 Percent = 0.3865  Prediction Error = -6.496 
 Percent = 0.3603  Prediction Error = -6.496 
 Percent = 0.3603  Prediction Error = -6.621 
 Percent = 0.3372  Prediction Error = -6.621 
 Percent = 0.3372  Prediction Error = -6.746 
 Percent = 0.3185  Prediction Error = -6.746 
 Percent = 0.3185  Prediction Error = -6.871 
 Percent = 0.3058  Prediction Error = -6.871 
 Percent = 0.3058  Prediction Error = -6.996 
 Percent = 0.2999  Prediction Error = -6.996 
 Percent = 0.2999  Prediction Error = -7.121 
 Percent = 0.3009  Prediction Error = -7.121 
 Percent = 0.3009  Prediction Error = -7.246 
 Percent = 0.3081  Prediction Error = -7.246 
 Percent = 0.3081  Prediction Error = -7.371 
 Percent = 0.3199  Prediction Error = -7.371 
 Percent = 0.3199  Prediction Error = -7.621 
 Percent = 0.3483  Prediction Error = -7.621 
 Percent = 0.3483  Prediction Error = -7.746 
 Percent = 0.3595  Prediction Error = -7.746 
 Percent = 0.3595  Prediction Error = -7.871 
 Percent = 0.3655  Prediction Error = -7.871 
 Percent = 0.3655  Prediction Error = -7.996 
 Percent = 0.3646  Prediction Error = -7.996 
 Percent = 0.3646  Prediction Error = -8.121 
 Percent = 0.3557  Prediction Error = -8.121 
 Percent = 0.3557  Prediction Error = -8.246 
 Percent = 0.3387  Prediction Error = -8.246 
 Percent = 0.3387  Prediction Error = -8.37 
 Percent = 0.3145  Prediction Error = -8.37 
 Percent = 0.3145  Prediction Error = -8.495 
 Percent = 0.2845  Prediction Error = -8.495 
 Percent = 0.2845  Prediction Error = -8.87 
 Percent = 0.1791  Prediction Error = -8.87 
 Percent = 0.1791  Prediction Error = -8.995 
 Percent = 0.1452  Prediction Error = -8.995 
 Percent = 0.1452  Prediction Error = -9.12 
 Percent = 0.1146  Prediction Error = -9.12 
 Percent = 0.1146  Prediction Error = -9.245 
 Percent = 0.088  Prediction Error = -9.245 
 Percent = 0.088  Prediction Error = -9.37 
 Percent = 0.0657  Prediction Error = -9.37 
 Percent = 0.0657  Prediction Error = -9.495 
 Percent = 0.0477  Prediction Error = -9.495 
 Percent = 0.0477  Prediction Error = -9.62 
 Percent = 0.0337  Prediction Error = -9.62 
 Percent = 0.0337  Prediction Error = -9.745 
 Percent = 0.0231  Prediction Error = -9.745 
 Percent = 0.0231  Prediction Error = -9.87 
 Percent = 0.0154  Prediction Error = 8.25 
 Percent = 0.0476  Prediction Error = 8.1667 
 Percent = 0.0541  Prediction Error = 8.1667 
 Percent = 0.0541  Prediction Error = 8.0833 
 Percent = 0.0613  Prediction Error = 8.0833 
 Percent = 0.0613  Prediction Error = 8 
 Percent = 0.0694  Prediction Error = 8 
 Percent = 0.0694  Prediction Error = 7.9167 
 Percent = 0.0784  Prediction Error = 7.9167 
 Percent = 0.0784  Prediction Error = 7.8333 
 Percent = 0.0886  Prediction Error = 7.8333 
 Percent = 0.0886  Prediction Error = 7.75 
 Percent = 0.0999  Prediction Error = 7.75 
 Percent = 0.0999  Prediction Error = 7.6667 
 Percent = 0.1125  Prediction Error = 7.6667 
 Percent = 0.1125  Prediction Error = 7.5833 
 Percent = 0.1265  Prediction Error = 7.5833 
 Percent = 0.1265  Prediction Error = 7.5 
 Percent = 0.1421  Prediction Error = 7.5 
 Percent = 0.1421  Prediction Error = 7.4167 
 Percent = 0.1594  Prediction Error = 7.4167 
 Percent = 0.1594  Prediction Error = 7.3333 
 Percent = 0.1786  Prediction Error = 7.3333 
 Percent = 0.1786  Prediction Error = 7.25 
 Percent = 0.1998  Prediction Error = 7.25 
 Percent = 0.1998  Prediction Error = 7.1667 
 Percent = 0.2233  Prediction Error = 7.1667 
 Percent = 0.2233  Prediction Error = 7.0833 
 Percent = 0.2492  Prediction Error = 7.0833 
 Percent = 0.2492  Prediction Error = 7 
 Percent = 0.2778  Prediction Error = 7 
 Percent = 0.2778  Prediction Error = 6.9167 
 Percent = 0.3093  Prediction Error = 6.9167 
 Percent = 0.3093  Prediction Error = 6.8333 
 Percent = 0.3439  Prediction Error = 6.8333 
 Percent = 0.3439  Prediction Error = 6.75 
 Percent = 0.3818  Prediction Error = 6.75 
 Percent = 0.3818  Prediction Error = 6.6667 
 Percent = 0.4234  Prediction Error = 6.6667 
 Percent = 0.4234  Prediction Error = 6.5833 
 Percent = 0.4689  Prediction Error = 6.5833 
 Percent = 0.4689  Prediction Error = 6.5 
 Percent = 0.5187  Prediction Error = 6.5 
 Percent = 0.5187  Prediction Error = 6.4167 
 Percent = 0.573  Prediction Error = 6.4167 
 Percent = 0.573  Prediction Error = 6.3333 
 Percent = 0.6321  Prediction Error = 6.3333 
 Percent = 0.6321  Prediction Error = 6.25 
 Percent = 0.6965  Prediction Error = 6.25 
 Percent = 0.6965  Prediction Error = 6.1667 
 Percent = 0.7665  Prediction Error = 6.1667 
 Percent = 0.7665  Prediction Error = 6.0833 
 Percent = 0.8423  Prediction Error = 6.0833 
 Percent = 0.8423  Prediction Error = 6 
 Percent = 0.9246  Prediction Error = 6 
 Percent = 0.9246  Prediction Error = 5.9167 
 Percent = 1.0135  Prediction Error = 5.9167 
 Percent = 1.0135  Prediction Error = 5.8333 
 Percent = 1.1095  Prediction Error = 5.8333 
 Percent = 1.1095  Prediction Error = 5.75 
 Percent = 1.2131  Prediction Error = 5.75 
 Percent = 1.2131  Prediction Error = 5.6667 
 Percent = 1.3247  Prediction Error = 5.6667 
 Percent = 1.3247  Prediction Error = 5.5833 
 Percent = 1.4447  Prediction Error = 5.5833 
 Percent = 1.4447  Prediction Error = 5.5 
 Percent = 1.5735  Prediction Error = 5.5 
 Percent = 1.5735  Prediction Error = 5.4167 
 Percent = 1.7116  Prediction Error = 5.4167 
 Percent = 1.7116  Prediction Error = 5.3333 
 Percent = 1.8594  Prediction Error = 5.3333 
 Percent = 1.8594  Prediction Error = 5.25 
 Percent = 2.0174  Prediction Error = 5.25 
 Percent = 2.0174  Prediction Error = 5.1667 
 Percent = 2.186  Prediction Error = 5.1667 
 Percent = 2.186  Prediction Error = 5.0833 
 Percent = 2.3657  Prediction Error = 5.0833 
 Percent = 2.3657  Prediction Error = 5 
 Percent = 2.5568  Prediction Error = 5 
 Percent = 2.5568  Prediction Error = 4.9167 
 Percent = 2.7599  Prediction Error = 4.9167 
 Percent = 2.7599  Prediction Error = 4.8333 
 Percent = 2.9752  Prediction Error = 4.8333 
 Percent = 2.9752  Prediction Error = 4.75 
 Percent = 3.2032  Prediction Error = 4.75 
 Percent = 3.2032  Prediction Error = 4.6667 
 Percent = 3.4443  Prediction Error = 4.6667 
 Percent = 3.4443  Prediction Error = 4.5833 
 Percent = 3.6987  Prediction Error = 4.5833 
 Percent = 3.6987  Prediction Error = 4.5 
 Percent = 3.9668  Prediction Error = 4.5 
 Percent = 3.9668  Prediction Error = 4.4167 
 Percent = 4.2489  Prediction Error = 4.4167 
 Percent = 4.2489  Prediction Error = 4.3333 
 Percent = 4.5452  Prediction Error = 4.3333 
 Percent = 4.5452  Prediction Error = 4.25 
 Percent = 4.856  Prediction Error = 4.25 
 Percent = 4.856  Prediction Error = 4.1667 
 Percent = 5.1813  Prediction Error = 4.1667 
 Percent = 5.1813  Prediction Error = 4.0833 
 Percent = 5.5213  Prediction Error = 4.0833 
 Percent = 5.5213  Prediction Error = 4 
 Percent = 5.8761  Prediction Error = 4 
 Percent = 5.8761  Prediction Error = 3.9167 
 Percent = 6.2456  Prediction Error = 3.9167 
 Percent = 6.2456  Prediction Error = 3.8333 
 Percent = 6.6298  Prediction Error = 3.8333 
 Percent = 6.6298  Prediction Error = 3.75 
 Percent = 7.0286  Prediction Error = 3.75 
 Percent = 7.0286  Prediction Error = 3.6667 
 Percent = 7.4419  Prediction Error = 3.6667 
 Percent = 7.4419  Prediction Error = 3.5833 
 Percent = 7.8693  Prediction Error = 3.5833 
 Percent = 7.8693  Prediction Error = 3.5 
 Percent = 8.3106  Prediction Error = 3.5 
 Percent = 8.3106  Prediction Error = 3.3333 
 Percent = 9.2331  Prediction Error = 3.3333 
 Percent = 9.2331  Prediction Error = 3.1667 
 Percent = 10.205  Prediction Error = 3.1667 
 Percent = 10.205  Prediction Error = 3 
 Percent = 11.222  Prediction Error = 3 
 Percent = 11.222  Prediction Error = 2.0833 
 Percent = 17.26  Prediction Error = 2.0833 
 Percent = 17.26  Prediction Error = 1.8333 
 Percent = 18.893  Prediction Error = 1.8333 
 Percent = 18.893  Prediction Error = 1.6667 
 Percent = 19.938  Prediction Error = 1.6667 
 Percent = 19.938  Prediction Error = 1.5 
 Percent = 20.933  Prediction Error = 1.5 
 Percent = 20.933  Prediction Error = 1.4167 
 Percent = 21.408  Prediction Error = 1.4167 
 Percent = 21.408  Prediction Error = 1.3333 
 Percent = 21.865  Prediction Error = 1.3333 
 Percent = 21.865  Prediction Error = 1.25 
 Percent = 22.304  Prediction Error = 1.25 
 Percent = 22.304  Prediction Error = 1.1667 
 Percent = 22.722  Prediction Error = 1.1667 
 Percent = 22.722  Prediction Error = 1.0833 
 Percent = 23.118  Prediction Error = 1.0833 
 Percent = 23.118  Prediction Error = 1 
 Percent = 23.49  Prediction Error = 1 
 Percent = 23.49  Prediction Error = 0.9167 
 Percent = 23.838  Prediction Error = 0.9167 
 Percent = 23.838  Prediction Error = 0.8333 
 Percent = 24.161  Prediction Error = 0.8333 
 Percent = 24.161  Prediction Error = 0.75 
 Percent = 24.456  Prediction Error = 0.75 
 Percent = 24.456  Prediction Error = 0.6667 
 Percent = 24.723  Prediction Error = 0.6667 
 Percent = 24.723  Prediction Error = 0.5833 
 Percent = 24.96  Prediction Error = 0.5833 
 Percent = 24.96  Prediction Error = 0.5 
 Percent = 25.168  Prediction Error = 0.5 
 Percent = 25.168  Prediction Error = 0.4167 
 Percent = 25.345  Prediction Error = 0.4167 
 Percent = 25.345  Prediction Error = 0.3333 
 Percent = 25.49  Prediction Error = 0.3333 
 Percent = 25.49  Prediction Error = 0.25 
 Percent = 25.603  Prediction Error = 0.25 
 Percent = 25.603  Prediction Error = 0.1667 
 Percent = 25.684  Prediction Error = 0.1667 
 Percent = 25.684  Prediction Error = 0.0833 
 Percent = 25.731  Prediction Error = 0.0833 
 Percent = 25.731  Prediction Error = 0.0047 
 Percent = 25.746  Prediction Error = 0.0047 
 Percent = 25.746  Prediction Error = -1E-14 
 Percent = 25.746  Prediction Error = -1E-14 
 Percent = 25.746  Prediction Error = -0.083 
 Percent = 25.728  Prediction Error = -0.083 
 Percent = 25.728  Prediction Error = -0.167 
 Percent = 25.676  Prediction Error = -0.167 
 Percent = 25.676  Prediction Error = -0.25 
 Percent = 25.592  Prediction Error = -0.25 
 Percent = 25.592  Prediction Error = -0.333 
 Percent = 25.475  Prediction Error = -0.333 
 Percent = 25.475  Prediction Error = -0.417 
 Percent = 25.327  Prediction Error = -0.417 
 Percent = 25.327  Prediction Error = -0.5 
 Percent = 25.146  Prediction Error = -0.5 
 Percent = 25.146  Prediction Error = -0.583 
 Percent = 24.935  Prediction Error = -0.583 
 Percent = 24.935  Prediction Error = -0.667 
 Percent = 24.694  Prediction Error = -0.667 
 Percent = 24.694  Prediction Error = -0.75 
 Percent = 24.424  Prediction Error = -0.75 
 Percent = 24.424  Prediction Error = -0.833 
 Percent = 24.126  Prediction Error = -0.833 
 Percent = 24.126  Prediction Error = -0.917 
 Percent = 23.801  Prediction Error = -0.917 
 Percent = 23.801  Prediction Error = -1 
 Percent = 23.45  Prediction Error = -1 
 Percent = 23.45  Prediction Error = -1.083 
 Percent = 23.074  Prediction Error = -1.083 
 Percent = 23.074  Prediction Error = -1.167 
 Percent = 22.676  Prediction Error = -1.167 
 Percent = 22.676  Prediction Error = -1.25 
 Percent = 22.255  Prediction Error = -1.25 
 Percent = 22.255  Prediction Error = -1.333 
 Percent = 21.815  Prediction Error = -1.333 
 Percent = 21.815  Prediction Error = -1.417 
 Percent = 21.356  Prediction Error = -1.417 
 Percent = 21.356  Prediction Error = -1.5 
 Percent = 20.879  Prediction Error = -1.5 
 Percent = 20.879  Prediction Error = -1.667 
 Percent = 19.881  Prediction Error = -1.667 
 Percent = 19.881  Prediction Error = -2.583 
 Percent = 13.851  Prediction Error = -2.583 
 Percent = 13.851  Prediction Error = -2.833 
 Percent = 12.217  Prediction Error = -2.833 
 Percent = 12.217  Prediction Error = -3 
 Percent = 11.164  Prediction Error = -3 
 Percent = 11.164  Prediction Error = -3.167 
 Percent = 10.15  Prediction Error = -3.167 
 Percent = 10.15  Prediction Error = -3.333 
 Percent = 9.1801  Prediction Error = -3.333 
 Percent = 9.1801  Prediction Error = -3.5 
 Percent = 8.2605  Prediction Error = -3.5 
 Percent = 8.2605  Prediction Error = -3.583 
 Percent = 7.8208  Prediction Error = -3.583 
 Percent = 7.8208  Prediction Error = -3.667 
 Percent = 7.3949  Prediction Error = -3.667 
 Percent = 7.3949  Prediction Error = -3.75 
 Percent = 6.9833  Prediction Error = -3.75 
 Percent = 6.9833  Prediction Error = -3.833 
 Percent = 6.5861  Prediction Error = -3.833 
 Percent = 6.5861  Prediction Error = -3.917 
 Percent = 6.2035  Prediction Error = -3.917 
 Percent = 6.2035  Prediction Error = -4 
 Percent = 5.8356  Prediction Error = -4 
 Percent = 5.8356  Prediction Error = -4.083 
 Percent = 5.4825  Prediction Error = -4.083 
 Percent = 5.4825  Prediction Error = -4.167 
 Percent = 5.1442  Prediction Error = -4.167 
 Percent = 5.1442  Prediction Error = -4.25 
 Percent = 4.8205  Prediction Error = -4.25 
 Percent = 4.8205  Prediction Error = -4.333 
 Percent = 4.5114  Prediction Error = -4.333 
 Percent = 4.5114  Prediction Error = -4.417 
 Percent = 4.2167  Prediction Error = -4.417 
 Percent = 4.2167  Prediction Error = -4.5 
 Percent = 3.9361  Prediction Error = -4.5 
 Percent = 3.9361  Prediction Error = -4.583 
 Percent = 3.6696  Prediction Error = -4.583 
 Percent = 3.6696  Prediction Error = -4.667 
 Percent = 3.4166  Prediction Error = -4.667 
 Percent = 3.4166  Prediction Error = -4.75 
 Percent = 3.1771  Prediction Error = -4.75 
 Percent = 3.1771  Prediction Error = -4.833 
 Percent = 2.9505  Prediction Error = -4.833 
 Percent = 2.9505  Prediction Error = -4.917 
 Percent = 2.7366  Prediction Error = -4.917 
 Percent = 2.7366  Prediction Error = -5 
 Percent = 2.5349  Prediction Error = -5 
 Percent = 2.5349  Prediction Error = -5.083 
 Percent = 2.345  Prediction Error = -5.083 
 Percent = 2.345  Prediction Error = -5.167 
 Percent = 2.1666  Prediction Error = -5.167 
 Percent = 2.1666  Prediction Error = -5.25 
 Percent = 1.9992  Prediction Error = -5.25 
 Percent = 1.9992  Prediction Error = -5.333 
 Percent = 1.8424  Prediction Error = -5.333 
 Percent = 1.8424  Prediction Error = -5.417 
 Percent = 1.6957  Prediction Error = -5.417 
 Percent = 1.6957  Prediction Error = -5.5 
 Percent = 1.5586  Prediction Error = -5.5 
 Percent = 1.5586  Prediction Error = -5.583 
 Percent = 1.4308  Prediction Error = -5.583 
 Percent = 1.4308  Prediction Error = -5.667 
 Percent = 1.3118  Prediction Error = -5.667 
 Percent = 1.3118  Prediction Error = -5.75 
 Percent = 1.2012  Prediction Error = -5.75 
 Percent = 1.2012  Prediction Error = -5.833 
 Percent = 1.0984  Prediction Error = -5.833 
 Percent = 1.0984  Prediction Error = -5.917 
 Percent = 1.0032  Prediction Error = -5.917 
 Percent = 1.0032  Prediction Error = -6 
 Percent = 0.915  Prediction Error = -6 
 Percent = 0.915  Prediction Error = -6.083 
 Percent = 0.8335  Prediction Error = -6.083 
 Percent = 0.8335  Prediction Error = -6.167 
 Percent = 0.7583  Prediction Error = -6.167 
 Percent = 0.7583  Prediction Error = -6.25 
 Percent = 0.689  Prediction Error = -6.25 
 Percent = 0.689  Prediction Error = -6.333 
 Percent = 0.6253  Prediction Error = -6.333 
 Percent = 0.6253  Prediction Error = -6.417 
 Percent = 0.5667  Prediction Error = -6.417 
 Percent = 0.5667  Prediction Error = -6.5 
 Percent = 0.5129  Prediction Error = -6.5 
 Percent = 0.5129  Prediction Error = -6.583 
 Percent = 0.4636  Prediction Error = -6.583 
 Percent = 0.4636  Prediction Error = -6.667 
 Percent = 0.4186  Prediction Error = -6.667 
 Percent = 0.4186  Prediction Error = -6.75 
 Percent = 0.3774  Prediction Error = -6.75 
 Percent = 0.3774  Prediction Error = -6.833 
 Percent = 0.3398  Prediction Error = -6.833 
 Percent = 0.3398  Prediction Error = -6.917 
 Percent = 0.3056  Prediction Error = -6.917 
 Percent = 0.3056  Prediction Error = -7 
 Percent = 0.2745  Prediction Error = -7 
 Percent = 0.2745  Prediction Error = -7.083 
 Percent = 0.2462  Prediction Error = -7.083 
 Percent = 0.2462  Prediction Error = -7.167 
 Percent = 0.2206  Prediction Error = -7.167 
 Percent = 0.2206  Prediction Error = -7.25 
 Percent = 0.1973  Prediction Error = -7.25 
 Percent = 0.1973  Prediction Error = -7.333 
 Percent = 0.1763  Prediction Error = -7.333 
 Percent = 0.1763  Prediction Error = -7.417 
 Percent = 0.1574  Prediction Error = -7.417 
 Percent = 0.1574  Prediction Error = -7.5 
 Percent = 0.1403  Prediction Error = -7.5 
 Percent = 0.1403  Prediction Error = -7.583 
 Percent = 0.1248  Prediction Error = -7.583 
 Percent = 0.1248  Prediction Error = -7.667 
 Percent = 0.111  Prediction Error = -7.667 
 Percent = 0.111  Prediction Error = -7.75 
 Percent = 0.0985  Prediction Error = -7.75 
 Percent = 0.0985  Prediction Error = -7.833 
 Percent = 0.0874  Prediction Error = -7.833 
 Percent = 0.0874  Prediction Error = -7.917 
 Percent = 0.0774  Prediction Error = -7.917 
 Percent = 0.0774  Prediction Error = -8 
 Percent = 0.0684  Prediction Error = -8 
 Percent = 0.0684  Prediction Error = -8.083 
 Percent = 0.0604  Prediction Error = -8.083 
 Percent = 0.0604  Prediction Error = -8.167 
 Percent = 0.0533  Prediction Error = -8.167 
 Percent = 0.0533  Prediction Error = -8.25 
 Percent = 0.047  Prediction Error = 7.5 
 Percent = 0.4425  Prediction Error = 7.5 
 Percent = 0.4425  Prediction Error = 6 
 Percent = 3.0973  Prediction Error = 6 
 Percent = 3.0973  Prediction Error = 4.5 
 Percent = 3.5398  Prediction Error = 4.5 
 Percent = 3.5398  Prediction Error = 3 
 Percent = 8.4071  Prediction Error = 3 
 Percent = 8.4071  Prediction Error = 1.5 
 Percent = 17.257  Prediction Error = 1.5 
 Percent = 17.257  Prediction Error = 0 
 Percent = 29.204  Prediction Error = 0 
 Percent = 29.204  Prediction Error = -1.5 
 Percent = 22.566  Prediction Error = -1.5 
 Percent = 22.566  Prediction Error = -3 
 Percent = 12.832  Prediction Error = -3 
 Percent = 12.832  Prediction Error = -4.5 
 Percent = 1.7699  Prediction Error = -4.5 
 Percent = 1.7699  Prediction Error = -6 
 Percent = 0.4425  Prediction Error = -6 
 Percent = 0.4425  Prediction Error = -7.5 
 Percent = 0.4425  Prediction Error = -7.5 
 Percent = 0.4425  Quantile = 2.7747 
 Residual = 7.996  Quantile = 2.448 
 Residual = 6.5379  Quantile = 2.2701 
 Residual = 6.4342  Quantile = 2.1439 
 Residual = 6.2178  Quantile = 2.0447 
 Residual = 5.6919  Quantile = 1.9623 
 Residual = 5.6728  Quantile = 1.8915 
 Residual = 5.5417  Quantile = 1.829 
 Residual = 5.3227  Quantile = 1.7729 
 Residual = 5.1866  Quantile = 1.7219 
 Residual = 4.122  Quantile = 1.6751 
 Residual = 4.0417  Quantile = 1.6316 
 Residual = 4.0284  Quantile = 1.591 
 Residual = 3.9848  Quantile = 1.5529 
 Residual = 3.8974  Quantile = 1.5169 
 Residual = 3.8904  Quantile = 1.4828 
 Residual = 3.8392  Quantile = 1.4503 
 Residual = 3.3663  Quantile = 1.4193 
 Residual = 3.3382  Quantile = 1.3896 
 Residual = 3.3066  Quantile = 1.3611 
 Residual = 3.2481  Quantile = 1.3336 
 Residual = 3.2397  Quantile = 1.3072 
 Residual = 3.2345  Quantile = 1.2816 
 Residual = 3.2265  Quantile = 1.2568 
 Residual = 3.0912  Quantile = 1.2327 
 Residual = 3.0491  Quantile = 1.2094 
 Residual = 2.9628  Quantile = 1.1867 
 Residual = 2.8563  Quantile = 1.1646 
 Residual = 2.7579  Quantile = 1.143 
 Residual = 2.7206  Quantile = 1.122 
 Residual = 2.643  Quantile = 1.1014 
 Residual = 2.6428  Quantile = 1.0813 
 Residual = 2.6236  Quantile = 1.0616 
 Residual = 2.3752  Quantile = 1.0424 
 Residual = 2.3357  Quantile = 1.0235 
 Residual = 2.2788  Quantile = 1.005 
 Residual = 2.24  Quantile = 0.9868 
 Residual = 2.2372  Quantile = 0.9689 
 Residual = 2.0727  Quantile = 0.9513 
 Residual = 2.0699  Quantile = 0.9341 
 Residual = 2.0111  Quantile = 0.9171 
 Residual = 2.003  Quantile = 0.9003 
 Residual = 1.9375  Quantile = 0.8838 
 Residual = 1.8004  Quantile = 0.8676 
 Residual = 1.7725  Quantile = 0.8515 
 Residual = 1.7668  Quantile = 0.8357 
 Residual = 1.6523  Quantile = 0.8201 
 Residual = 1.6119  Quantile = 0.8047 
 Residual = 1.5328  Quantile = 0.7895 
 Residual = 1.5194  Quantile = 0.7744 
 Residual = 1.5098  Quantile = 0.7596 
 Residual = 1.4661  Quantile = 0.7449 
 Residual = 1.4562  Quantile = 0.7303 
 Residual = 1.3754  Quantile = 0.7159 
 Residual = 1.3541  Quantile = 0.7017 
 Residual = 1.3262  Quantile = 0.6876 
 Residual = 1.3093  Quantile = 0.6736 
 Residual = 1.2899  Quantile = 0.6598 
 Residual = 1.2482  Quantile = 0.6461 
 Residual = 1.2251  Quantile = 0.6325 
 Residual = 1.2199  Quantile = 0.619 
 Residual = 1.2121  Quantile = 0.6056 
 Residual = 1.2087  Quantile = 0.5924 
 Residual = 1.1982  Quantile = 0.5792 
 Residual = 1.1635  Quantile = 0.5662 
 Residual = 1.1432  Quantile = 0.5532 
 Residual = 1.1259  Quantile = 0.5404 
 Residual = 1.0862  Quantile = 0.5276 
 Residual = 1.0403  Quantile = 0.5149 
 Residual = 1.0355  Quantile = 0.5023 
 Residual = 1.0034  Quantile = 0.4898 
 Residual = 0.9829  Quantile = 0.4773 
 Residual = 0.944  Quantile = 0.4649 
 Residual = 0.8567  Quantile = 0.4526 
 Residual = 0.8551  Quantile = 0.4404 
 Residual = 0.7103  Quantile = 0.4282 
 Residual = 0.5896  Quantile = 0.4161 
 Residual = 0.5208  Quantile = 0.404 
 Residual = 0.4606  Quantile = 0.392 
 Residual = 0.4493  Quantile = 0.3801 
 Residual = 0.3975  Quantile = 0.3682 
 Residual = 0.3077  Quantile = 0.3564 
 Residual = 0.2322  Quantile = 0.3446 
 Residual = 0.2183  Quantile = 0.3329 
 Residual = 0.2094  Quantile = 0.3212 
 Residual = 0.2031  Quantile = 0.3095 
 Residual = 0.153  Quantile = 0.2979 
 Residual = 0.136  Quantile = 0.2864 
 Residual = 0.134  Quantile = 0.2749 
 Residual = 0.1226  Quantile = 0.2634 
 Residual = 0.1182  Quantile = 0.2519 
 Residual = 0.1105  Quantile = 0.2405 
 Residual = 0.1103  Quantile = 0.2291 
 Residual = 0.0736  Quantile = 0.2177 
 Residual = 0.0676  Quantile = 0.2064 
 Residual = 0.0658  Quantile = 0.1951 
 Residual = 0.0452  Quantile = 0.1838 
 Residual = 0.0442  Quantile = 0.1726 
 Residual = 0.0171  Quantile = 0.1613 
 Residual = 0.0159  Quantile = 0.1501 
 Residual = 0.0041  Quantile = 0.1389 
 Residual = 0.0038  Quantile = 0.1278 
 Residual = 27E-16  Quantile = 0.1166 
 Residual = -0.002  Quantile = 0.1054 
 Residual = -0.011  Quantile = 0.0943 
 Residual = -0.03  Quantile = 0.0832 
 Residual = -0.052  Quantile = 0.0721 
 Residual = -0.053  Quantile = 0.061 
 Residual = -0.072  Quantile = 0.0499 
 Residual = -0.073  Quantile = 0.0388 
 Residual = -0.085  Quantile = 0.0277 
 Residual = -0.194  Quantile = 0.0166 
 Residual = -0.215  Quantile = 0.0055 
 Residual = -0.218  Quantile = -0.006 
 Residual = -0.26  Quantile = -0.017 
 Residual = -0.275  Quantile = -0.028 
 Residual = -0.276  Quantile = -0.039 
 Residual = -0.284  Quantile = -0.05 
 Residual = -0.285  Quantile = -0.061 
 Residual = -0.288  Quantile = -0.072 
 Residual = -0.295  Quantile = -0.083 
 Residual = -0.345  Quantile = -0.094 
 Residual = -0.377  Quantile = -0.105 
 Residual = -0.394  Quantile = -0.117 
 Residual = -0.395  Quantile = -0.128 
 Residual = -0.466  Quantile = -0.139 
 Residual = -0.467  Quantile = -0.15 
 Residual = -0.481  Quantile = -0.161 
 Residual = -0.508  Quantile = -0.173 
 Residual = -0.554  Quantile = -0.184 
 Residual = -0.554  Quantile = -0.195 
 Residual = -0.589  Quantile = -0.206 
 Residual = -0.65  Quantile = -0.218 
 Residual = -0.657  Quantile = -0.229 
 Residual = -0.674  Quantile = -0.24 
 Residual = -0.675  Quantile = -0.252 
 Residual = -0.687  Quantile = -0.263 
 Residual = -0.688  Quantile = -0.275 
 Residual = -0.696  Quantile = -0.286 
 Residual = -0.697  Quantile = -0.298 
 Residual = -0.72  Quantile = -0.31 
 Residual = -0.788  Quantile = -0.321 
 Residual = -0.832  Quantile = -0.333 
 Residual = -0.856  Quantile = -0.345 
 Residual = -0.869  Quantile = -0.356 
 Residual = -0.887  Quantile = -0.368 
 Residual = -0.905  Quantile = -0.38 
 Residual = -0.908  Quantile = -0.392 
 Residual = -0.95  Quantile = -0.404 
 Residual = -0.956  Quantile = -0.416 
 Residual = -0.961  Quantile = -0.428 
 Residual = -0.977  Quantile = -0.44 
 Residual = -0.983  Quantile = -0.453 
 Residual = -1  Quantile = -0.465 
 Residual = -1  Quantile = -0.477 
 Residual = -1.024  Quantile = -0.49 
 Residual = -1.03  Quantile = -0.502 
 Residual = -1.041  Quantile = -0.515 
 Residual = -1.12  Quantile = -0.528 
 Residual = -1.179  Quantile = -0.54 
 Residual = -1.272  Quantile = -0.553 
 Residual = -1.279  Quantile = -0.566 
 Residual = -1.311  Quantile = -0.579 
 Residual = -1.342  Quantile = -0.592 
 Residual = -1.361  Quantile = -0.606 
 Residual = -1.372  Quantile = -0.619 
 Residual = -1.393  Quantile = -0.632 
 Residual = -1.419  Quantile = -0.646 
 Residual = -1.497  Quantile = -0.66 
 Residual = -1.518  Quantile = -0.674 
 Residual = -1.53  Quantile = -0.688 
 Residual = -1.544  Quantile = -0.702 
 Residual = -1.547  Quantile = -0.716 
 Residual = -1.593  Quantile = -0.73 
 Residual = -1.605  Quantile = -0.745 
 Residual = -1.716  Quantile = -0.76 
 Residual = -1.744  Quantile = -0.774 
 Residual = -1.779  Quantile = -0.789 
 Residual = -1.795  Quantile = -0.805 
 Residual = -1.799  Quantile = -0.82 
 Residual = -1.83  Quantile = -0.836 
 Residual = -1.863  Quantile = -0.852 
 Residual = -1.965  Quantile = -0.868 
 Residual = -1.974  Quantile = -0.884 
 Residual = -1.996  Quantile = -0.9 
 Residual = -2.03  Quantile = -0.917 
 Residual = -2.038  Quantile = -0.934 
 Residual = -2.051  Quantile = -0.951 
 Residual = -2.058  Quantile = -0.969 
 Residual = -2.068  Quantile = -0.987 
 Residual = -2.148  Quantile = -1.005 
 Residual = -2.181  Quantile = -1.023 
 Residual = -2.268  Quantile = -1.042 
 Residual = -2.282  Quantile = -1.062 
 Residual = -2.295  Quantile = -1.081 
 Residual = -2.3  Quantile = -1.101 
 Residual = -2.307  Quantile = -1.122 
 Residual = -2.342  Quantile = -1.143 
 Residual = -2.377  Quantile = -1.165 
 Residual = -2.416  Quantile = -1.187 
 Residual = -2.444  Quantile = -1.209 
 Residual = -2.486  Quantile = -1.233 
 Residual = -2.496  Quantile = -1.257 
 Residual = -2.546  Quantile = -1.282 
 Residual = -2.657  Quantile = -1.307 
 Residual = -2.667  Quantile = -1.334 
 Residual = -2.721  Quantile = -1.361 
 Residual = -2.802  Quantile = -1.39 
 Residual = -2.92  Quantile = -1.419 
 Residual = -2.962  Quantile = -1.45 
 Residual = -2.984  Quantile = -1.483 
 Residual = -3.001  Quantile = -1.517 
 Residual = -3.011  Quantile = -1.553 
 Residual = -3.039  Quantile = -1.591 
 Residual = -3.049  Quantile = -1.632 
 Residual = -3.202  Quantile = -1.675 
 Residual = -3.254  Quantile = -1.722 
 Residual = -3.341  Quantile = -1.773 
 Residual = -3.444  Quantile = -1.829 
 Residual = -3.453  Quantile = -1.891 
 Residual = -3.512  Quantile = -1.962 
 Residual = -3.773  Quantile = -2.045 
 Residual = -3.792  Quantile = -2.144 
 Residual = -4.027  Quantile = -2.27 
 Residual = -4.722  Quantile = -2.448 
 Residual = -6.018  Quantile = -2.775 
 Residual = -7.996  Slope = 2.3243 
 Y = 0.0047  Lag = 24 
 ACF = -0.045  Lag = 23 
 ACF = -0.031  Lag = 22 
 ACF = 0.0688  Lag = 21 
 ACF = 0.0846  Lag = 20 
 ACF = 0.0343  Lag = 19 
 ACF = -0.08  Lag = 18 
 ACF = 0.0241  Lag = 17 
 ACF = 0.0095  Lag = 16 
 ACF = 0.0221  Lag = 15 
 ACF = 0.0555  Lag = 14 
 ACF = -0.067  Lag = 13 
 ACF = -0.187  Lag = 12 
 ACF = 0.0722  Lag = 11 
 ACF = -53E-6  Lag = 10 
 ACF = 0.1472  Lag = 9 
 ACF = -0.01  Lag = 8 
 ACF = -0.111  Lag = 7 
 ACF = -0.002  Lag = 6 
 ACF = 0.0694  Lag = 5 
 ACF = 0.0574  Lag = 4 
 ACF = -0.026  Lag = 3 
 ACF = -0.056  Lag = 2 
 ACF = -0.046  Lag = 1 
 ACF = -0.053  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.148 
 Upper = 0.1482  Lag = 23 
 Lower = -0.148 
 Upper = 0.1481  Lag = 23 
 Lower = -0.148 
 Upper = 0.1481  Lag = 22 
 Lower = -0.147 
 Upper = 0.1475  Lag = 22 
 Lower = -0.147 
 Upper = 0.1475  Lag = 21 
 Lower = -0.147 
 Upper = 0.1466  Lag = 21 
 Lower = -0.147 
 Upper = 0.1466  Lag = 20 
 Lower = -0.146 
 Upper = 0.1465  Lag = 20 
 Lower = -0.146 
 Upper = 0.1465  Lag = 19 
 Lower = -0.146 
 Upper = 0.1457  Lag = 19 
 Lower = -0.146 
 Upper = 0.1457  Lag = 18 
 Lower = -0.146 
 Upper = 0.1457  Lag = 18 
 Lower = -0.146 
 Upper = 0.1457  Lag = 17 
 Lower = -0.146 
 Upper = 0.1456  Lag = 17 
 Lower = -0.146 
 Upper = 0.1456  Lag = 16 
 Lower = -0.146 
 Upper = 0.1456  Lag = 16 
 Lower = -0.146 
 Upper = 0.1456  Lag = 15 
 Lower = -0.145 
 Upper = 0.1452  Lag = 15 
 Lower = -0.145 
 Upper = 0.1452  Lag = 14 
 Lower = -0.145 
 Upper = 0.1447  Lag = 14 
 Lower = -0.145 
 Upper = 0.1447  Lag = 13 
 Lower = -0.14 
 Upper = 0.1403  Lag = 13 
 Lower = -0.14 
 Upper = 0.1403  Lag = 12 
 Lower = -0.14 
 Upper = 0.1396  Lag = 12 
 Lower = -0.14 
 Upper = 0.1396  Lag = 11 
 Lower = -0.14 
 Upper = 0.1396  Lag = 11 
 Lower = -0.14 
 Upper = 0.1396  Lag = 10 
 Lower = -0.137 
 Upper = 0.1369  Lag = 10 
 Lower = -0.137 
 Upper = 0.1369  Lag = 9 
 Lower = -0.137 
 Upper = 0.1369  Lag = 9 
 Lower = -0.137 
 Upper = 0.1369  Lag = 8 
 Lower = -0.135 
 Upper = 0.1353  Lag = 8 
 Lower = -0.135 
 Upper = 0.1353  Lag = 7 
 Lower = -0.135 
 Upper = 0.1353  Lag = 7 
 Lower = -0.135 
 Upper = 0.1353  Lag = 6 
 Lower = -0.135 
 Upper = 0.1346  Lag = 6 
 Lower = -0.135 
 Upper = 0.1346  Lag = 5 
 Lower = -0.134 
 Upper = 0.1342  Lag = 5 
 Lower = -0.134 
 Upper = 0.1342  Lag = 4 
 Lower = -0.134 
 Upper = 0.1341  Lag = 4 
 Lower = -0.134 
 Upper = 0.1341  Lag = 3 
 Lower = -0.134 
 Upper = 0.1337  Lag = 3 
 Lower = -0.134 
 Upper = 0.1337  Lag = 2 
 Lower = -0.133 
 Upper = 0.1334  Lag = 2 
 Lower = -0.133 
 Upper = 0.1334  Lag = 1 
 Lower = -0.133 
 Upper = 0.133  Lag = 1 
 Lower = -0.133 
 Upper = 0.133  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.026  Lag = 23 
 PACF = 0.0358  Lag = 22 
 PACF = 0.0446  Lag = 21 
 PACF = 0.0559  Lag = 20 
 PACF = 0.0343  Lag = 19 
 PACF = -0.049  Lag = 18 
 PACF = 0.0609  Lag = 17 
 PACF = -0.011  Lag = 16 
 PACF = -0.017  Lag = 15 
 PACF = 0.0332  Lag = 14 
 PACF = -0.063  Lag = 13 
 PACF = -0.163  Lag = 12 
 PACF = 0.0737  Lag = 11 
 PACF = -0.001  Lag = 10 
 PACF = 0.1413  Lag = 9 
 PACF = -0.013  Lag = 8 
 PACF = -0.1  Lag = 7 
 PACF = 0.0081  Lag = 6 
 PACF = 0.0701  Lag = 5 
 PACF = 0.0485  Lag = 4 
 PACF = -0.035  Lag = 3 
 PACF = -0.061  Lag = 2 
 PACF = -0.049  Lag = 1 
 PACF = -0.053  Lag = 24 
 Lower = -0.133 
 Upper = 0.133  Lag = 23 
 Lower = -0.133 
 Upper = 0.133  Lag = 23 
 Lower = -0.133 
 Upper = 0.133  Lag = 22 
 Lower = -0.133 
 Upper = 0.133  Lag = 22 
 Lower = -0.133 
 Upper = 0.133  Lag = 21 
 Lower = -0.133 
 Upper = 0.133  Lag = 21 
 Lower = -0.133 
 Upper = 0.133  Lag = 20 
 Lower = -0.133 
 Upper = 0.133  Lag = 20 
 Lower = -0.133 
 Upper = 0.133  Lag = 19 
 Lower = -0.133 
 Upper = 0.133  Lag = 19 
 Lower = -0.133 
 Upper = 0.133  Lag = 18 
 Lower = -0.133 
 Upper = 0.133  Lag = 18 
 Lower = -0.133 
 Upper = 0.133  Lag = 17 
 Lower = -0.133 
 Upper = 0.133  Lag = 17 
 Lower = -0.133 
 Upper = 0.133  Lag = 16 
 Lower = -0.133 
 Upper = 0.133  Lag = 16 
 Lower = -0.133 
 Upper = 0.133  Lag = 15 
 Lower = -0.133 
 Upper = 0.133  Lag = 15 
 Lower = -0.133 
 Upper = 0.133  Lag = 14 
 Lower = -0.133 
 Upper = 0.133  Lag = 14 
 Lower = -0.133 
 Upper = 0.133  Lag = 13 
 Lower = -0.133 
 Upper = 0.133  Lag = 13 
 Lower = -0.133 
 Upper = 0.133  Lag = 12 
 Lower = -0.133 
 Upper = 0.133  Lag = 12 
 Lower = -0.133 
 Upper = 0.133  Lag = 11 
 Lower = -0.133 
 Upper = 0.133  Lag = 11 
 Lower = -0.133 
 Upper = 0.133  Lag = 10 
 Lower = -0.133 
 Upper = 0.133  Lag = 10 
 Lower = -0.133 
 Upper = 0.133  Lag = 9 
 Lower = -0.133 
 Upper = 0.133  Lag = 9 
 Lower = -0.133 
 Upper = 0.133  Lag = 8 
 Lower = -0.133 
 Upper = 0.133  Lag = 8 
 Lower = -0.133 
 Upper = 0.133  Lag = 7 
 Lower = -0.133 
 Upper = 0.133  Lag = 7 
 Lower = -0.133 
 Upper = 0.133  Lag = 6 
 Lower = -0.133 
 Upper = 0.133  Lag = 6 
 Lower = -0.133 
 Upper = 0.133  Lag = 5 
 Lower = -0.133 
 Upper = 0.133  Lag = 5 
 Lower = -0.133 
 Upper = 0.133  Lag = 4 
 Lower = -0.133 
 Upper = 0.133  Lag = 4 
 Lower = -0.133 
 Upper = 0.133  Lag = 3 
 Lower = -0.133 
 Upper = 0.133  Lag = 3 
 Lower = -0.133 
 Upper = 0.133  Lag = 2 
 Lower = -0.133 
 Upper = 0.133  Lag = 2 
 Lower = -0.133 
 Upper = 0.133  Lag = 1 
 Lower = -0.133 
 Upper = 0.133
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Oct2019 
 Loess Fit = -0.736  Date_of_death = Aug2019 
 Loess Fit = -0.723  Date_of_death = Aug2019 
 Loess Fit = -0.723  Date_of_death = Jul2019 
 Loess Fit = -0.709  Date_of_death = Jul2019 
 Loess Fit = -0.709  Date_of_death = Jun2019 
 Loess Fit = -0.695  Date_of_death = Jun2019 
 Loess Fit = -0.695  Date_of_death = May2019 
 Loess Fit = -0.682  Date_of_death = May2019 
 Loess Fit = -0.682  Date_of_death = Apr2019 
 Loess Fit = -0.668  Date_of_death = Apr2019 
 Loess Fit = -0.668  Date_of_death = Mar2019 
 Loess Fit = -0.654  Date_of_death = Mar2019 
 Loess Fit = -0.654  Date_of_death = Feb2019 
 Loess Fit = -0.641  Date_of_death = Feb2019 
 Loess Fit = -0.641  Date_of_death = Dec2018 
 Loess Fit = -0.627  Date_of_death = Dec2018 
 Loess Fit = -0.627  Date_of_death = Nov2018 
 Loess Fit = -0.613  Date_of_death = Nov2018 
 Loess Fit = -0.613  Date_of_death = Oct2018 
 Loess Fit = -0.6  Date_of_death = Oct2018 
 Loess Fit = -0.6  Date_of_death = Sep2018 
 Loess Fit = -0.586  Date_of_death = Sep2018 
 Loess Fit = -0.586  Date_of_death = Aug2018 
 Loess Fit = -0.572  Date_of_death = Aug2018 
 Loess Fit = -0.572  Date_of_death = Jul2018 
 Loess Fit = -0.559  Date_of_death = Jul2018 
 Loess Fit = -0.559  Date_of_death = Jun2018 
 Loess Fit = -0.545  Date_of_death = Jun2018 
 Loess Fit = -0.545  Date_of_death = May2018 
 Loess Fit = -0.531  Date_of_death = May2018 
 Loess Fit = -0.531  Date_of_death = Apr2018 
 Loess Fit = -0.518  Date_of_death = Apr2018 
 Loess Fit = -0.518  Date_of_death = Feb2018 
 Loess Fit = -0.504  Date_of_death = Feb2018 
 Loess Fit = -0.504  Date_of_death = Jan2018 
 Loess Fit = -0.49  Date_of_death = Jan2018 
 Loess Fit = -0.49  Date_of_death = Dec2017 
 Loess Fit = -0.477  Date_of_death = Dec2017 
 Loess Fit = -0.477  Date_of_death = Nov2017 
 Loess Fit = -0.463  Date_of_death = Nov2017 
 Loess Fit = -0.463  Date_of_death = Oct2017 
 Loess Fit = -0.449  Date_of_death = Oct2017 
 Loess Fit = -0.449  Date_of_death = Sep2017 
 Loess Fit = -0.436  Date_of_death = Sep2017 
 Loess Fit = -0.436  Date_of_death = Aug2017 
 Loess Fit = -0.422  Date_of_death = Aug2017 
 Loess Fit = -0.422  Date_of_death = Jul2017 
 Loess Fit = -0.408  Date_of_death = Jul2017 
 Loess Fit = -0.408  Date_of_death = May2017 
 Loess Fit = -0.395  Date_of_death = May2017 
 Loess Fit = -0.395  Date_of_death = Apr2017 
 Loess Fit = -0.382  Date_of_death = Apr2017 
 Loess Fit = -0.382  Date_of_death = Mar2017 
 Loess Fit = -0.37  Date_of_death = Mar2017 
 Loess Fit = -0.37  Date_of_death = Feb2017 
 Loess Fit = -0.357  Date_of_death = Feb2017 
 Loess Fit = -0.357  Date_of_death = Jan2017 
 Loess Fit = -0.345  Date_of_death = Jan2017 
 Loess Fit = -0.345  Date_of_death = Dec2016 
 Loess Fit = -0.333  Date_of_death = Dec2016 
 Loess Fit = -0.333  Date_of_death = Nov2016 
 Loess Fit = -0.32  Date_of_death = Nov2016 
 Loess Fit = -0.32  Date_of_death = Sep2016 
 Loess Fit = -0.308  Date_of_death = Sep2016 
 Loess Fit = -0.308  Date_of_death = Aug2016 
 Loess Fit = -0.295  Date_of_death = Aug2016 
 Loess Fit = -0.295  Date_of_death = Jul2016 
 Loess Fit = -0.283  Date_of_death = Jul2016 
 Loess Fit = -0.283  Date_of_death = Jun2016 
 Loess Fit = -0.27  Date_of_death = Jun2016 
 Loess Fit = -0.27  Date_of_death = May2016 
 Loess Fit = -0.258  Date_of_death = May2016 
 Loess Fit = -0.258  Date_of_death = Apr2016 
 Loess Fit = -0.245  Date_of_death = Apr2016 
 Loess Fit = -0.245  Date_of_death = Mar2016 
 Loess Fit = -0.233  Date_of_death = Mar2016 
 Loess Fit = -0.233  Date_of_death = Feb2016 
 Loess Fit = -0.22  Date_of_death = Feb2016 
 Loess Fit = -0.22  Date_of_death = Dec2015 
 Loess Fit = -0.208  Date_of_death = Dec2015 
 Loess Fit = -0.208  Date_of_death = Nov2015 
 Loess Fit = -0.195  Date_of_death = Nov2015 
 Loess Fit = -0.195  Date_of_death = Oct2015 
 Loess Fit = -0.183  Date_of_death = Oct2015 
 Loess Fit = -0.183  Date_of_death = Sep2015 
 Loess Fit = -0.17  Date_of_death = Sep2015 
 Loess Fit = -0.17  Date_of_death = Aug2015 
 Loess Fit = -0.158  Date_of_death = Aug2015 
 Loess Fit = -0.158  Date_of_death = Jul2015 
 Loess Fit = -0.146  Date_of_death = Jul2015 
 Loess Fit = -0.146  Date_of_death = Jun2015 
 Loess Fit = -0.133  Date_of_death = Jun2015 
 Loess Fit = -0.133  Date_of_death = May2015 
 Loess Fit = -0.121  Date_of_death = May2015 
 Loess Fit = -0.121  Date_of_death = Apr2015 
 Loess Fit = -0.108  Date_of_death = Apr2015 
 Loess Fit = -0.108  Date_of_death = Feb2015 
 Loess Fit = -0.096  Date_of_death = Feb2015 
 Loess Fit = -0.096  Date_of_death = Jan2015 
 Loess Fit = -0.083  Date_of_death = Jan2015 
 Loess Fit = -0.083  Date_of_death = Dec2014 
 Loess Fit = -0.072  Date_of_death = Dec2014 
 Loess Fit = -0.072  Date_of_death = Nov2014 
 Loess Fit = -0.061  Date_of_death = Nov2014 
 Loess Fit = -0.061  Date_of_death = Oct2014 
 Loess Fit = -0.05  Date_of_death = Oct2014 
 Loess Fit = -0.05  Date_of_death = Sep2014 
 Loess Fit = -0.038  Date_of_death = Sep2014 
 Loess Fit = -0.038  Date_of_death = Aug2014 
 Loess Fit = -0.027  Date_of_death = Aug2014 
 Loess Fit = -0.027  Date_of_death = Jul2014 
 Loess Fit = -0.016  Date_of_death = Jul2014 
 Loess Fit = -0.016  Date_of_death = May2014 
 Loess Fit = -0.005  Date_of_death = May2014 
 Loess Fit = -0.005  Date_of_death = Apr2014 
 Loess Fit = 0.0065  Date_of_death = Apr2014 
 Loess Fit = 0.0065  Date_of_death = Mar2014 
 Loess Fit = 0.0177  Date_of_death = Mar2014 
 Loess Fit = 0.0177  Date_of_death = Feb2014 
 Loess Fit = 0.029  Date_of_death = Feb2014 
 Loess Fit = 0.029  Date_of_death = Jan2014 
 Loess Fit = 0.0402  Date_of_death = Jan2014 
 Loess Fit = 0.0402  Date_of_death = Dec2013 
 Loess Fit = 0.0515  Date_of_death = Dec2013 
 Loess Fit = 0.0515  Date_of_death = Nov2013 
 Loess Fit = 0.0627  Date_of_death = Nov2013 
 Loess Fit = 0.0627  Date_of_death = Sep2013 
 Loess Fit = 0.074  Date_of_death = Sep2013 
 Loess Fit = 0.074  Date_of_death = Aug2013 
 Loess Fit = 0.0852  Date_of_death = Aug2013 
 Loess Fit = 0.0852  Date_of_death = Jul2013 
 Loess Fit = 0.0965  Date_of_death = Jul2013 
 Loess Fit = 0.0965  Date_of_death = Jun2013 
 Loess Fit = 0.1077  Date_of_death = Jun2013 
 Loess Fit = 0.1077  Date_of_death = May2013 
 Loess Fit = 0.119  Date_of_death = May2013 
 Loess Fit = 0.119  Date_of_death = Apr2013 
 Loess Fit = 0.1302  Date_of_death = Apr2013 
 Loess Fit = 0.1302  Date_of_death = Mar2013 
 Loess Fit = 0.1415  Date_of_death = Mar2013 
 Loess Fit = 0.1415  Date_of_death = Feb2013 
 Loess Fit = 0.1527  Date_of_death = Feb2013 
 Loess Fit = 0.1527  Date_of_death = Dec2012 
 Loess Fit = 0.164  Date_of_death = Dec2012 
 Loess Fit = 0.164  Date_of_death = Nov2012 
 Loess Fit = 0.1752  Date_of_death = Nov2012 
 Loess Fit = 0.1752  Date_of_death = Oct2012 
 Loess Fit = 0.1865  Date_of_death = Oct2012 
 Loess Fit = 0.1865  Date_of_death = Sep2012 
 Loess Fit = 0.1947  Date_of_death = Sep2012 
 Loess Fit = 0.1947  Date_of_death = Aug2012 
 Loess Fit = 0.1969  Date_of_death = Aug2012 
 Loess Fit = 0.1969  Date_of_death = Jul2012 
 Loess Fit = 0.1992  Date_of_death = Jul2012 
 Loess Fit = 0.1992  Date_of_death = Jun2012 
 Loess Fit = 0.2015  Date_of_death = Jun2012 
 Loess Fit = 0.2015  Date_of_death = May2012 
 Loess Fit = 0.2038  Date_of_death = May2012 
 Loess Fit = 0.2038  Date_of_death = Apr2012 
 Loess Fit = 0.206  Date_of_death = Apr2012 
 Loess Fit = 0.206  Date_of_death = Feb2012 
 Loess Fit = 0.2083  Date_of_death = Feb2012 
 Loess Fit = 0.2083  Date_of_death = Jan2012 
 Loess Fit = 0.2106  Date_of_death = Jan2012 
 Loess Fit = 0.2106  Date_of_death = Dec2011 
 Loess Fit = 0.2129  Date_of_death = Dec2011 
 Loess Fit = 0.2129  Date_of_death = Nov2011 
 Loess Fit = 0.2151  Date_of_death = Nov2011 
 Loess Fit = 0.2151  Date_of_death = Oct2011 
 Loess Fit = 0.2174  Date_of_death = Oct2011 
 Loess Fit = 0.2174  Date_of_death = Sep2011 
 Loess Fit = 0.2197  Date_of_death = Sep2011 
 Loess Fit = 0.2197  Date_of_death = Aug2011 
 Loess Fit = 0.222  Date_of_death = Aug2011 
 Loess Fit = 0.222  Date_of_death = Jul2011 
 Loess Fit = 0.2243  Date_of_death = Jul2011 
 Loess Fit = 0.2243  Date_of_death = May2011 
 Loess Fit = 0.2265  Date_of_death = May2011 
 Loess Fit = 0.2265  Date_of_death = Apr2011 
 Loess Fit = 0.2288  Date_of_death = Apr2011 
 Loess Fit = 0.2288  Date_of_death = Mar2011 
 Loess Fit = 0.2311  Date_of_death = Mar2011 
 Loess Fit = 0.2311  Date_of_death = Feb2011 
 Loess Fit = 0.2334  Date_of_death = Feb2011 
 Loess Fit = 0.2334  Date_of_death = Jan2011 
 Loess Fit = 0.2356  Date_of_death = Jan2011 
 Loess Fit = 0.2356  Date_of_death = Dec2010 
 Loess Fit = 0.2379  Date_of_death = Dec2010 
 Loess Fit = 0.2379  Date_of_death = Nov2010 
 Loess Fit = 0.2402  Date_of_death = Nov2010 
 Loess Fit = 0.2402  Date_of_death = Oct2010 
 Loess Fit = 0.2425  Date_of_death = Oct2010 
 Loess Fit = 0.2425  Date_of_death = Aug2010 
 Loess Fit = 0.2447  Date_of_death = Aug2010 
 Loess Fit = 0.2447  Date_of_death = Jul2010 
 Loess Fit = 0.247  Date_of_death = Jul2010 
 Loess Fit = 0.247  Date_of_death = Jun2010 
 Loess Fit = 0.2493  Date_of_death = Jun2010 
 Loess Fit = 0.2493  Date_of_death = May2010 
 Loess Fit = 0.2516  Date_of_death = May2010 
 Loess Fit = 0.2516  Date_of_death = Apr2010 
 Loess Fit = 0.251  Date_of_death = Apr2010 
 Loess Fit = 0.251  Date_of_death = Mar2010 
 Loess Fit = 0.2477  Date_of_death = Mar2010 
 Loess Fit = 0.2477  Date_of_death = Feb2010 
 Loess Fit = 0.2444  Date_of_death = Feb2010 
 Loess Fit = 0.2444  Date_of_death = Dec2009 
 Loess Fit = 0.2411  Date_of_death = Dec2009 
 Loess Fit = 0.2411  Date_of_death = Nov2009 
 Loess Fit = 0.2379  Date_of_death = Nov2009 
 Loess Fit = 0.2379  Date_of_death = Oct2009 
 Loess Fit = 0.2346  Date_of_death = Oct2009 
 Loess Fit = 0.2346  Date_of_death = Sep2009 
 Loess Fit = 0.2313  Date_of_death = Sep2009 
 Loess Fit = 0.2313  Date_of_death = Aug2009 
 Loess Fit = 0.228  Date_of_death = Aug2009 
 Loess Fit = 0.228  Date_of_death = Jul2009 
 Loess Fit = 0.2247  Date_of_death = Jul2009 
 Loess Fit = 0.2247  Date_of_death = Jun2009 
 Loess Fit = 0.2215  Date_of_death = Jun2009 
 Loess Fit = 0.2215  Date_of_death = May2009 
 Loess Fit = 0.2182  Date_of_death = May2009 
 Loess Fit = 0.2182  Date_of_death = Apr2009 
 Loess Fit = 0.2149  Date_of_death = Apr2009 
 Loess Fit = 0.2149  Date_of_death = Feb2009 
 Loess Fit = 0.2116  Date_of_death = Feb2009 
 Loess Fit = 0.2116  Date_of_death = Jan2009 
 Loess Fit = 0.2084  Date_of_death = Jan2009 
 Loess Fit = 0.2084  Date_of_death = Dec2008 
 Loess Fit = 0.2051  Date_of_death = Dec2008 
 Loess Fit = 0.2051  Date_of_death = Nov2008 
 Loess Fit = 0.2018  Date_of_death = Nov2008 
 Loess Fit = 0.2018  Date_of_death = Oct2008 
 Loess Fit = 0.1985  Date_of_death = Oct2008 
 Loess Fit = 0.1985  Date_of_death = Sep2008 
 Loess Fit = 0.1953  Date_of_death = Sep2008 
 Loess Fit = 0.1953  Date_of_death = Aug2008 
 Loess Fit = 0.192  Date_of_death = Aug2008 
 Loess Fit = 0.192  Date_of_death = Jul2008 
 Loess Fit = 0.1887  Date_of_death = Jul2008 
 Loess Fit = 0.1887  Date_of_death = May2008 
 Loess Fit = 0.1854  Date_of_death = May2008 
 Loess Fit = 0.1854  Date_of_death = Apr2008 
 Loess Fit = 0.1821  Date_of_death = Apr2008 
 Loess Fit = 0.1821  Date_of_death = Mar2008 
 Loess Fit = 0.1789  Date_of_death = Mar2008 
 Loess Fit = 0.1789  Date_of_death = Feb2008 
 Loess Fit = 0.1756  Date_of_death = Feb2008 
 Loess Fit = 0.1756  Date_of_death = Jan2008 
 Loess Fit = 0.1723  Date_of_death = Jan2008 
 Loess Fit = 0.1723  Date_of_death = Dec2007 
 Loess Fit = 0.168  Date_of_death = Dec2007 
 Loess Fit = 0.168  Date_of_death = Nov2007 
 Loess Fit = 0.1632  Date_of_death = Nov2007 
 Loess Fit = 0.1632  Date_of_death = Oct2007 
 Loess Fit = 0.1584  Date_of_death = Oct2007 
 Loess Fit = 0.1584  Date_of_death = Aug2007 
 Loess Fit = 0.1536  Date_of_death = Aug2007 
 Loess Fit = 0.1536  Date_of_death = Jul2007 
 Loess Fit = 0.1488  Date_of_death = Jul2007 
 Loess Fit = 0.1488  Date_of_death = Jun2007 
 Loess Fit = 0.144  Date_of_death = Jun2007 
 Loess Fit = 0.144  Date_of_death = May2007 
 Loess Fit = 0.1392  Date_of_death = May2007 
 Loess Fit = 0.1392  Date_of_death = Apr2007 
 Loess Fit = 0.1344  Date_of_death = Apr2007 
 Loess Fit = 0.1344  Date_of_death = Mar2007 
 Loess Fit = 0.1296  Date_of_death = Mar2007 
 Loess Fit = 0.1296  Date_of_death = Feb2007 
 Loess Fit = 0.1248  Date_of_death = Feb2007 
 Loess Fit = 0.1248  Date_of_death = Jan2007 
 Loess Fit = 0.12  Date_of_death = Jan2007 
 Loess Fit = 0.12  Date_of_death = Nov2006 
 Loess Fit = 0.1152  Date_of_death = Nov2006 
 Loess Fit = 0.1152  Date_of_death = Oct2006 
 Loess Fit = 0.1104  Date_of_death = Oct2006 
 Loess Fit = 0.1104  Date_of_death = Sep2006 
 Loess Fit = 0.1056  Date_of_death = Sep2006 
 Loess Fit = 0.1056  Date_of_death = Aug2006 
 Loess Fit = 0.1008  Date_of_death = Aug2006 
 Loess Fit = 0.1008  Date_of_death = Jul2006 
 Loess Fit = 0.0959  Date_of_death = Jul2006 
 Loess Fit = 0.0959  Date_of_death = Jun2006 
 Loess Fit = 0.0911  Date_of_death = Jun2006 
 Loess Fit = 0.0911  Date_of_death = May2006 
 Loess Fit = 0.0863  Date_of_death = May2006 
 Loess Fit = 0.0863  Date_of_death = Apr2006 
 Loess Fit = 0.0815  Date_of_death = Apr2006 
 Loess Fit = 0.0815  Date_of_death = Feb2006 
 Loess Fit = 0.0767  Date_of_death = Feb2006 
 Loess Fit = 0.0767  Date_of_death = Jan2006 
 Loess Fit = 0.0719  Date_of_death = Jan2006 
 Loess Fit = 0.0719  Date_of_death = Dec2005 
 Loess Fit = 0.0671  Date_of_death = Dec2005 
 Loess Fit = 0.0671  Date_of_death = Nov2005 
 Loess Fit = 0.0623  Date_of_death = Nov2005 
 Loess Fit = 0.0623  Date_of_death = Oct2005 
 Loess Fit = 0.0575  Date_of_death = Oct2005 
 Loess Fit = 0.0575  Date_of_death = Sep2005 
 Loess Fit = 0.0527  Date_of_death = Sep2005 
 Loess Fit = 0.0527  Date_of_death = Aug2005 
 Loess Fit = 0.0477  Date_of_death = Aug2005 
 Loess Fit = 0.0477  Date_of_death = Jul2005 
 Loess Fit = 0.0428  Date_of_death = Jul2005 
 Loess Fit = 0.0428  Date_of_death = May2005 
 Loess Fit = 0.0378  Date_of_death = May2005 
 Loess Fit = 0.0378  Date_of_death = Apr2005 
 Loess Fit = 0.0328  Date_of_death = Apr2005 
 Loess Fit = 0.0328  Date_of_death = Mar2005 
 Loess Fit = 0.0278  Date_of_death = Mar2005 
 Loess Fit = 0.0278  Date_of_death = Feb2005 
 Loess Fit = 0.0228  Date_of_death = Feb2005 
 Loess Fit = 0.0228  Date_of_death = Jan2005 
 Loess Fit = 0.0178  Date_of_death = Jan2005 
 Loess Fit = 0.0178  Date_of_death = Dec2004 
 Loess Fit = 0.0128  Date_of_death = Dec2004 
 Loess Fit = 0.0128  Date_of_death = Nov2004 
 Loess Fit = 0.0078  Date_of_death = Nov2004 
 Loess Fit = 0.0078  Date_of_death = Oct2004 
 Loess Fit = 0.0029  Date_of_death = Oct2004 
 Loess Fit = 0.0029  Date_of_death = Aug2004 
 Loess Fit = -0.002  Date_of_death = Aug2004 
 Loess Fit = -0.002  Date_of_death = Jul2004 
 Loess Fit = -0.007  Date_of_death = Jul2004 
 Loess Fit = -0.007  Date_of_death = Jun2004 
 Loess Fit = -0.012  Date_of_death = Jun2004 
 Loess Fit = -0.012  Date_of_death = May2004 
 Loess Fit = -0.017  Date_of_death = May2004 
 Loess Fit = -0.017  Date_of_death = Apr2004 
 Loess Fit = -0.022  Date_of_death = Apr2004 
 Loess Fit = -0.022  Date_of_death = Mar2004 
 Loess Fit = -0.027  Date_of_death = Mar2004 
 Loess Fit = -0.027  Date_of_death = Feb2004 
 Loess Fit = -0.032  Date_of_death = Feb2004 
 Loess Fit = -0.032  Date_of_death = Jan2004 
 Loess Fit = -0.037  Date_of_death = Jan2004 
 Loess Fit = -0.037  Date_of_death = Nov2003 
 Loess Fit = -0.042  Date_of_death = Nov2003 
 Loess Fit = -0.042  Date_of_death = Oct2003 
 Loess Fit = -0.047  Date_of_death = Oct2003 
 Loess Fit = -0.047  Date_of_death = Sep2003 
 Loess Fit = -0.052  Date_of_death = Sep2003 
 Loess Fit = -0.052  Date_of_death = Aug2003 
 Loess Fit = -0.057  Date_of_death = Aug2003 
 Loess Fit = -0.057  Date_of_death = Jul2003 
 Loess Fit = -0.062  Date_of_death = Jul2003 
 Loess Fit = -0.062  Date_of_death = Jun2003 
 Loess Fit = -0.067  Date_of_death = Jun2003 
 Loess Fit = -0.067  Date_of_death = May2003 
 Loess Fit = -0.072  Date_of_death = May2003 
 Loess Fit = -0.072  Date_of_death = Apr2003 
 Loess Fit = -0.077  Date_of_death = Apr2003 
 Loess Fit = -0.077  Date_of_death = Feb2003 
 Loess Fit = -0.081  Date_of_death = Feb2003 
 Loess Fit = -0.081  Date_of_death = Jan2003 
 Loess Fit = -0.086  Date_of_death = Jan2003 
 Loess Fit = -0.086  Date_of_death = Dec2002 
 Loess Fit = -0.091  Date_of_death = Dec2002 
 Loess Fit = -0.091  Date_of_death = Nov2002 
 Loess Fit = -0.095  Date_of_death = Nov2002 
 Loess Fit = -0.095  Date_of_death = Oct2002 
 Loess Fit = -0.1  Date_of_death = Oct2002 
 Loess Fit = -0.1  Date_of_death = Sep2002 
 Loess Fit = -0.104  Date_of_death = Sep2002 
 Loess Fit = -0.104  Date_of_death = Aug2002 
 Loess Fit = -0.109  Date_of_death = Aug2002 
 Loess Fit = -0.109  Date_of_death = Jul2002 
 Loess Fit = -0.114  Date_of_death = Jul2002 
 Loess Fit = -0.114  Date_of_death = May2002 
 Loess Fit = -0.118  Date_of_death = May2002 
 Loess Fit = -0.118  Date_of_death = Apr2002 
 Loess Fit = -0.123  Date_of_death = Apr2002 
 Loess Fit = -0.123  Date_of_death = Mar2002 
 Loess Fit = -0.127  Date_of_death = Mar2002 
 Loess Fit = -0.127  Date_of_death = Feb2002 
 Loess Fit = -0.132  Date_of_death = Feb2002 
 Loess Fit = -0.132  Date_of_death = Jan2002 
 Loess Fit = -0.137  Date_of_death = Jan2002 
 Loess Fit = -0.137  Date_of_death = Dec2001 
 Loess Fit = -0.141  Date_of_death = Dec2001 
 Loess Fit = -0.141  Date_of_death = Nov2001 
 Loess Fit = -0.146  Date_of_death = Nov2001 
 Loess Fit = -0.146  Date_of_death = Oct2001 
 Loess Fit = -0.151  Date_of_death = Oct2001 
 Loess Fit = -0.151  Date_of_death = Aug2001 
 Loess Fit = -0.155  Date_of_death = Aug2001 
 Loess Fit = -0.155  Date_of_death = Jul2001 
 Loess Fit = -0.16  Date_of_death = Jul2001 
 Loess Fit = -0.16  Date_of_death = Jun2001 
 Loess Fit = -0.164  Date_of_death = Jun2001 
 Loess Fit = -0.164  Date_of_death = May2001 
 Loess Fit = -0.169  Date_of_death = May2001 
 Loess Fit = -0.169  Date_of_death = Apr2001 
 Loess Fit = -0.174  Date_of_death = Apr2001 
 Loess Fit = -0.174  Date_of_death = Mar2001 
 Loess Fit = -0.178  Date_of_death = Mar2001 
 Loess Fit = -0.178  Date_of_death = Feb2001 
 Loess Fit = -0.183  Date_of_death = Feb2001 
 Loess Fit = -0.183  Date_of_death = Jan2001 
 Loess Fit = -0.188  Date_of_death = Oct2019 
 Prediction Error = -1.744  Date_of_death = Sep2019 
 Prediction Error = 0.153  Date_of_death = Aug2019 
 Prediction Error = -0.65  Date_of_death = Jul2019 
 Prediction Error = -3.512  Date_of_death = Jun2019 
 Prediction Error = -1.974  Date_of_death = May2019 
 Prediction Error = 2.3357  Date_of_death = Apr2019 
 Prediction Error = 0.4493  Date_of_death = Mar2019 
 Prediction Error = -1.53  Date_of_death = Feb2019 
 Prediction Error = -3.444  Date_of_death = Jan2019 
 Prediction Error = -2.657  Date_of_death = Dec2018 
 Prediction Error = -0.688  Date_of_death = Nov2018 
 Prediction Error = -2.802  Date_of_death = Oct2018 
 Prediction Error = -2.181  Date_of_death = Sep2018 
 Prediction Error = -2.342  Date_of_death = Aug2018 
 Prediction Error = -0.011  Date_of_death = Jul2018 
 Prediction Error = 1.2899  Date_of_death = Jun2018 
 Prediction Error = 1.9375  Date_of_death = May2018 
 Prediction Error = -2.051  Date_of_death = Apr2018 
 Prediction Error = -0.905  Date_of_death = Mar2018 
 Prediction Error = -0.869  Date_of_death = Feb2018 
 Prediction Error = -0.72  Date_of_death = Jan2018 
 Prediction Error = -0.908  Date_of_death = Dec2017 
 Prediction Error = 0.134  Date_of_death = Nov2017 
 Prediction Error = 0.0736  Date_of_death = Oct2017 
 Prediction Error = -0.288  Date_of_death = Sep2017 
 Prediction Error = -1.497  Date_of_death = Aug2017 
 Prediction Error = 2.0699  Date_of_death = Jul2017 
 Prediction Error = -0.832  Date_of_death = Jun2017 
 Prediction Error = 3.0491  Date_of_death = May2017 
 Prediction Error = -0.073  Date_of_death = Apr2017 
 Prediction Error = -2.058  Date_of_death = Mar2017 
 Prediction Error = 0.1182  Date_of_death = Feb2017 
 Prediction Error = -1.863  Date_of_death = Jan2017 
 Prediction Error = 2.2372  Date_of_death = Dec2016 
 Prediction Error = 1.2482  Date_of_death = Nov2016 
 Prediction Error = 0.1226  Date_of_death = Oct2016 
 Prediction Error = -0.26  Date_of_death = Sep2016 
 Prediction Error = -1.544  Date_of_death = Aug2016 
 Prediction Error = 1.1635  Date_of_death = Jul2016 
 Prediction Error = -0.856  Date_of_death = Jun2016 
 Prediction Error = 0.0159  Date_of_death = May2016 
 Prediction Error = -2.282  Date_of_death = Apr2016 
 Prediction Error = -2.268  Date_of_death = Mar2016 
 Prediction Error = 1.1259  Date_of_death = Feb2016 
 Prediction Error = 1.2087  Date_of_death = Jan2016 
 Prediction Error = 0.2094  Date_of_death = Dec2015 
 Prediction Error = 2.3752  Date_of_death = Nov2015 
 Prediction Error = -2.068  Date_of_death = Oct2015 
 Prediction Error = -0.345  Date_of_death = Sep2015 
 Prediction Error = 0.4606  Date_of_death = Aug2015 
 Prediction Error = -0.961  Date_of_death = Jul2015 
 Prediction Error = 2.2788  Date_of_death = Jun2015 
 Prediction Error = -3.254  Date_of_death = May2015 
 Prediction Error = -1.419  Date_of_death = Apr2015 
 Prediction Error = -0.295  Date_of_death = Mar2015 
 Prediction Error = 3.3663  Date_of_death = Feb2015 
 Prediction Error = 5.6728  Date_of_death = Jan2015 
 Prediction Error = -2.92  Date_of_death = Dec2014 
 Prediction Error = -0.675  Date_of_death = Nov2014 
 Prediction Error = 3.2397  Date_of_death = Oct2014 
 Prediction Error = -1.361  Date_of_death = Sep2014 
 Prediction Error = -3.792  Date_of_death = Aug2014 
 Prediction Error = 3.3382  Date_of_death = Jul2014 
 Prediction Error = -4.027  Date_of_death = Jun2014 
 Prediction Error = -1.342  Date_of_death = May2014 
 Prediction Error = -1.518  Date_of_death = Apr2014 
 Prediction Error = 2.9628  Date_of_death = Mar2014 
 Prediction Error = -0.697  Date_of_death = Feb2014 
 Prediction Error = -3.773  Date_of_death = Jan2014 
 Prediction Error = -3.341  Date_of_death = Dec2013 
 Prediction Error = -2.038  Date_of_death = Nov2013 
 Prediction Error = 6.5379  Date_of_death = Oct2013 
 Prediction Error = -0.554  Date_of_death = Sep2013 
 Prediction Error = 0.136  Date_of_death = Aug2013 
 Prediction Error = 1.3093  Date_of_death = Jul2013 
 Prediction Error = -1.179  Date_of_death = Jun2013 
 Prediction Error = 1.7725  Date_of_death = May2013 
 Prediction Error = 3.8392  Date_of_death = Apr2013 
 Prediction Error = 1.0862  Date_of_death = Mar2013 
 Prediction Error = 0.3975  Date_of_death = Feb2013 
 Prediction Error = -0.696  Date_of_death = Jan2013 
 Prediction Error = 5.3227  Date_of_death = Dec2012 
 Prediction Error = 0.3077  Date_of_death = Nov2012 
 Prediction Error = -0.284  Date_of_death = Oct2012 
 Prediction Error = -0.377  Date_of_death = Sep2012 
 Prediction Error = -1.83  Date_of_death = Aug2012 
 Prediction Error = 1.6119  Date_of_death = Jul2012 
 Prediction Error = 5.5417  Date_of_death = Jun2012 
 Prediction Error = 1.1432  Date_of_death = May2012 
 Prediction Error = -2.148  Date_of_death = Apr2012 
 Prediction Error = -3.039  Date_of_death = Mar2012 
 Prediction Error = 2.7579  Date_of_death = Feb2012 
 Prediction Error = -0.589  Date_of_death = Jan2012 
 Prediction Error = 1.5194  Date_of_death = Dec2011 
 Prediction Error = 1.5328  Date_of_death = Nov2011 
 Prediction Error = -1.311  Date_of_death = Oct2011 
 Prediction Error = 4.122  Date_of_death = Sep2011 
 Prediction Error = 1.5098  Date_of_death = Aug2011 
 Prediction Error = -2.444  Date_of_death = Jul2011 
 Prediction Error = 1.7668  Date_of_death = Jun2011 
 Prediction Error = -0.887  Date_of_death = May2011 
 Prediction Error = -0.072  Date_of_death = Apr2011 
 Prediction Error = 1.2199  Date_of_death = Mar2011 
 Prediction Error = 2.0727  Date_of_death = Feb2011 
 Prediction Error = -1.593  Date_of_death = Jan2011 
 Prediction Error = 1.8004  Date_of_death = Dec2010 
 Prediction Error = 0.7103  Date_of_death = Nov2010 
 Prediction Error = -0.194  Date_of_death = Oct2010 
 Prediction Error = 1.3262  Date_of_death = Sep2010 
 Prediction Error = -2.721  Date_of_death = Aug2010 
 Prediction Error = -2.667  Date_of_death = Jul2010 
 Prediction Error = -1.393  Date_of_death = Jun2010 
 Prediction Error = 1.2251  Date_of_death = May2010 
 Prediction Error = 1.0403  Date_of_death = Apr2010 
 Prediction Error = -1.996  Date_of_death = Mar2010 
 Prediction Error = 2.24  Date_of_death = Feb2010 
 Prediction Error = -0.674  Date_of_death = Jan2010 
 Prediction Error = 6.4342  Date_of_death = Dec2009 
 Prediction Error = -2.546  Date_of_death = Nov2009 
 Prediction Error = -0.218  Date_of_death = Oct2009 
 Prediction Error = -0.788  Date_of_death = Sep2009 
 Prediction Error = 1.4562  Date_of_death = Aug2009 
 Prediction Error = 2.7206  Date_of_death = Jul2009 
 Prediction Error = -0.285  Date_of_death = Jun2009 
 Prediction Error = -3.001  Date_of_death = May2009 
 Prediction Error = 0.1103  Date_of_death = Apr2009 
 Prediction Error = 0.1105  Date_of_death = Mar2009 
 Prediction Error = 1.4661  Date_of_death = Feb2009 
 Prediction Error = -0.657  Date_of_death = Jan2009 
 Prediction Error = -1.799  Date_of_death = Dec2008 
 Prediction Error = -1.779  Date_of_death = Nov2008 
 Prediction Error = 0.8567  Date_of_death = Oct2008 
 Prediction Error = 1.3754  Date_of_death = Sep2008 
 Prediction Error = 6.2178  Date_of_death = Aug2008 
 Prediction Error = 0.8551  Date_of_death = Jul2008 
 Prediction Error = -0.275  Date_of_death = Jun2008 
 Prediction Error = -1.041  Date_of_death = May2008 
 Prediction Error = 1.3541  Date_of_death = Apr2008 
 Prediction Error = 0.2322  Date_of_death = Mar2008 
 Prediction Error = 5.1866  Date_of_death = Feb2008 
 Prediction Error = 2.8563  Date_of_death = Jan2008 
 Prediction Error = -1.795  Date_of_death = Dec2007 
 Prediction Error = -2.962  Date_of_death = Nov2007 
 Prediction Error = -1.12  Date_of_death = Oct2007 
 Prediction Error = -1.716  Date_of_death = Sep2007 
 Prediction Error = -2.03  Date_of_death = Aug2007 
 Prediction Error = 0.9829  Date_of_death = Jul2007 
 Prediction Error = 2.0111  Date_of_death = Jun2007 
 Prediction Error = -2.307  Date_of_death = May2007 
 Prediction Error = 3.8904  Date_of_death = Apr2007 
 Prediction Error = 2.6428  Date_of_death = Mar2007 
 Prediction Error = 0.2183  Date_of_death = Feb2007 
 Prediction Error = -1.372  Date_of_death = Jan2007 
 Prediction Error = -0.956  Date_of_death = Dec2006 
 Prediction Error = 0.0452  Date_of_death = Nov2006 
 Prediction Error = -2.486  Date_of_death = Oct2006 
 Prediction Error = 3.8974  Date_of_death = Sep2006 
 Prediction Error = 0.0658  Date_of_death = Aug2006 
 Prediction Error = 0.0676  Date_of_death = Jul2006 
 Prediction Error = -2.295  Date_of_death = Jun2006 
 Prediction Error = 3.2481  Date_of_death = May2006 
 Prediction Error = -0.085  Date_of_death = Apr2006 
 Prediction Error = -1.605  Date_of_death = Mar2006 
 Prediction Error = -0.95  Date_of_death = Feb2006 
 Prediction Error = 3.0912  Date_of_death = Jan2006 
 Prediction Error = -3.453  Date_of_death = Dec2005 
 Prediction Error = -2.377  Date_of_death = Nov2005 
 Prediction Error = -3.011  Date_of_death = Oct2005 
 Prediction Error = -0.215  Date_of_death = Sep2005 
 Prediction Error = 1.1982  Date_of_death = Aug2005 
 Prediction Error = -0.002  Date_of_death = Jul2005 
 Prediction Error = 3.2345  Date_of_death = Jun2005 
 Prediction Error = -0.977  Date_of_death = May2005 
 Prediction Error = 1.0355  Date_of_death = Apr2005 
 Prediction Error = -3.202  Date_of_death = Mar2005 
 Prediction Error = 1.2121  Date_of_death = Feb2005 
 Prediction Error = -2.416  Date_of_death = Jan2005 
 Prediction Error = 0.5896  Date_of_death = Dec2004 
 Prediction Error = -0.508  Date_of_death = Nov2004 
 Prediction Error = -1.272  Date_of_death = Oct2004 
 Prediction Error = -0.276  Date_of_death = Sep2004 
 Prediction Error = -2.3  Date_of_death = Aug2004 
 Prediction Error = -0.053  Date_of_death = Jul2004 
 Prediction Error = 3.9848  Date_of_death = Jun2004 
 Prediction Error = -1.279  Date_of_death = May2004 
 Prediction Error = -0.03  Date_of_death = Apr2004 
 Prediction Error = -1.547  Date_of_death = Mar2004 
 Prediction Error = 0.2031  Date_of_death = Feb2004 
 Prediction Error = -0.554  Date_of_death = Jan2004 
 Prediction Error = 3.2265  Date_of_death = Dec2003 
 Prediction Error = -4.722  Date_of_death = Nov2003 
 Prediction Error = -0.394  Date_of_death = Oct2003 
 Prediction Error = 0.944  Date_of_death = Sep2003 
 Prediction Error = -0.395  Date_of_death = Aug2003 
 Prediction Error = 2.6236  Date_of_death = Jul2003 
 Prediction Error = 2.643  Date_of_death = Jun2003 
 Prediction Error = -3.049  Date_of_death = May2003 
 Prediction Error = -0.052  Date_of_death = Apr2003 
 Prediction Error = 3.3066  Date_of_death = Mar2003 
 Prediction Error = 1.6523  Date_of_death = Feb2003 
 Prediction Error = -0.687  Date_of_death = Jan2003 
 Prediction Error = 5.6919  Date_of_death = Dec2002 
 Prediction Error = -0.983  Date_of_death = Nov2002 
 Prediction Error = 4.0417  Date_of_death = Oct2002 
 Prediction Error = 0.0442  Date_of_death = Sep2002 
 Prediction Error = -1.965  Date_of_death = Aug2002 
 Prediction Error = -0.466  Date_of_death = Jul2002 
 Prediction Error = -0.467  Date_of_death = Jun2002 
 Prediction Error = -2.984  Date_of_death = May2002 
 Prediction Error = 0.0171  Date_of_death = Apr2002 
 Prediction Error = 0.5208  Date_of_death = Mar2002 
 Prediction Error = -0.481  Date_of_death = Feb2002 
 Prediction Error = -2.496  Date_of_death = Jan2002 
 Prediction Error = 4.0284  Date_of_death = Dec2001 
 Prediction Error = -7.996  Date_of_death = Nov2001 
 Prediction Error = 0.0041  Date_of_death = Oct2001 
 Prediction Error = 0.0038  Date_of_death = Sep2001 
 Prediction Error = -6.018  Date_of_death = Aug2001 
 Prediction Error = -1.024  Date_of_death = Jul2001 
 Prediction Error = -1.03  Date_of_death = Jun2001 
 Prediction Error = 7.996  Date_of_death = May2001 
 Prediction Error = 2.003  Date_of_death = Apr2001 
 Prediction Error = -1  Date_of_death = Mar2001 
 Prediction Error = 1.0034  Date_of_death = Feb2001 
 Prediction Error = -1  Date_of_death = Jan2001 
 Prediction Error = 27E-16  Date_of_death = Oct2019 
 2*STD = 4.3372 
 -2*STD = -4.337  Date_of_death = Sep2019 
 2*STD = 4.3372 
 -2*STD = -4.337  Date_of_death = Sep2019 
 2*STD = 4.3372 
 -2*STD = -4.337  Date_of_death = Aug2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = Aug2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = Jul2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = Jul2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = Jun2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = Jun2019 
 2*STD = 4.3373 
 -2*STD = -4.337  Date_of_death = May2019 
 2*STD = 4.3374 
 -2*STD = -4.337  Date_of_death = May2019 
 2*STD = 4.3374 
 -2*STD = -4.337  Date_of_death = Apr2019 
 2*STD = 4.3374 
 -2*STD = -4.337  Date_of_death = Apr2019 
 2*STD = 4.3374 
 -2*STD = -4.337  Date_of_death = Mar2019 
 2*STD = 4.3375 
 -2*STD = -4.337  Date_of_death = Mar2019 
 2*STD = 4.3375 
 -2*STD = -4.337  Date_of_death = Feb2019 
 2*STD = 4.3375 
 -2*STD = -4.338  Date_of_death = Feb2019 
 2*STD = 4.3375 
 -2*STD = -4.338  Date_of_death = Jan2019 
 2*STD = 4.3376 
 -2*STD = -4.338  Date_of_death = Jan2019 
 2*STD = 4.3376 
 -2*STD = -4.338  Date_of_death = Dec2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Dec2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Nov2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Nov2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Oct2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Oct2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Sep2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Sep2018 
 2*STD = 4.3427 
 -2*STD = -4.343  Date_of_death = Aug2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = Aug2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = Jul2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = Jul2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = Jun2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = Jun2018 
 2*STD = 4.3428 
 -2*STD = -4.343  Date_of_death = May2018 
 2*STD = 4.3429 
 -2*STD = -4.343  Date_of_death = May2018 
 2*STD = 4.3429 
 -2*STD = -4.343  Date_of_death = Apr2018 
 2*STD = 4.3429 
 -2*STD = -4.343  Date_of_death = Apr2018 
 2*STD = 4.3429 
 -2*STD = -4.343  Date_of_death = Mar2018 
 2*STD = 4.343 
 -2*STD = -4.343  Date_of_death = Mar2018 
 2*STD = 4.343 
 -2*STD = -4.343  Date_of_death = Feb2018 
 2*STD = 4.343 
 -2*STD = -4.343  Date_of_death = Feb2018 
 2*STD = 4.343 
 -2*STD = -4.343  Date_of_death = Jan2018 
 2*STD = 4.3431 
 -2*STD = -4.343  Date_of_death = Jan2018 
 2*STD = 4.3431 
 -2*STD = -4.343  Date_of_death = Dec2017 
 2*STD = 4.3488 
 -2*STD = -4.349  Date_of_death = Dec2017 
 2*STD = 4.3488 
 -2*STD = -4.349  Date_of_death = Nov2017 
 2*STD = 4.3488 
 -2*STD = -4.349  Date_of_death = Nov2017 
 2*STD = 4.3488 
 -2*STD = -4.349  Date_of_death = Oct2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Oct2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Sep2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Sep2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Aug2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Aug2017 
 2*STD = 4.3489 
 -2*STD = -4.349  Date_of_death = Jul2017 
 2*STD = 4.349 
 -2*STD = -4.349  Date_of_death = Jul2017 
 2*STD = 4.349 
 -2*STD = -4.349  Date_of_death = Jun2017 
 2*STD = 4.349 
 -2*STD = -4.349  Date_of_death = Jun2017 
 2*STD = 4.349 
 -2*STD = -4.349  Date_of_death = May2017 
 2*STD = 4.3491 
 -2*STD = -4.349  Date_of_death = May2017 
 2*STD = 4.3491 
 -2*STD = -4.349  Date_of_death = Apr2017 
 2*STD = 4.3491 
 -2*STD = -4.349  Date_of_death = Apr2017 
 2*STD = 4.3491 
 -2*STD = -4.349  Date_of_death = Mar2017 
 2*STD = 4.3492 
 -2*STD = -4.349  Date_of_death = Mar2017 
 2*STD = 4.3492 
 -2*STD = -4.349  Date_of_death = Feb2017 
 2*STD = 4.3492 
 -2*STD = -4.349  Date_of_death = Feb2017 
 2*STD = 4.3492 
 -2*STD = -4.349  Date_of_death = Jan2017 
 2*STD = 4.3493 
 -2*STD = -4.349  Date_of_death = Jan2017 
 2*STD = 4.3493 
 -2*STD = -4.349  Date_of_death = Dec2016 
 2*STD = 4.3557 
 -2*STD = -4.356  Date_of_death = Dec2016 
 2*STD = 4.3557 
 -2*STD = -4.356  Date_of_death = Nov2016 
 2*STD = 4.3557 
 -2*STD = -4.356  Date_of_death = Nov2016 
 2*STD = 4.3557 
 -2*STD = -4.356  Date_of_death = Oct2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Oct2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Sep2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Sep2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Aug2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Aug2016 
 2*STD = 4.3558 
 -2*STD = -4.356  Date_of_death = Jul2016 
 2*STD = 4.3559 
 -2*STD = -4.356  Date_of_death = Jul2016 
 2*STD = 4.3559 
 -2*STD = -4.356  Date_of_death = Jun2016 
 2*STD = 4.3559 
 -2*STD = -4.356  Date_of_death = Jun2016 
 2*STD = 4.3559 
 -2*STD = -4.356  Date_of_death = May2016 
 2*STD = 4.356 
 -2*STD = -4.356  Date_of_death = May2016 
 2*STD = 4.356 
 -2*STD = -4.356  Date_of_death = Apr2016 
 2*STD = 4.356 
 -2*STD = -4.356  Date_of_death = Apr2016 
 2*STD = 4.356 
 -2*STD = -4.356  Date_of_death = Mar2016 
 2*STD = 4.3561 
 -2*STD = -4.356  Date_of_death = Mar2016 
 2*STD = 4.3561 
 -2*STD = -4.356  Date_of_death = Feb2016 
 2*STD = 4.3562 
 -2*STD = -4.356  Date_of_death = Feb2016 
 2*STD = 4.3562 
 -2*STD = -4.356  Date_of_death = Jan2016 
 2*STD = 4.3562 
 -2*STD = -4.356  Date_of_death = Jan2016 
 2*STD = 4.3562 
 -2*STD = -4.356  Date_of_death = Dec2015 
 2*STD = 4.3635 
 -2*STD = -4.364  Date_of_death = Dec2015 
 2*STD = 4.3635 
 -2*STD = -4.364  Date_of_death = Nov2015 
 2*STD = 4.3635 
 -2*STD = -4.364  Date_of_death = Nov2015 
 2*STD = 4.3635 
 -2*STD = -4.364  Date_of_death = Oct2015 
 2*STD = 4.3636 
 -2*STD = -4.364  Date_of_death = Oct2015 
 2*STD = 4.3636 
 -2*STD = -4.364  Date_of_death = Sep2015 
 2*STD = 4.3636 
 -2*STD = -4.364  Date_of_death = Sep2015 
 2*STD = 4.3636 
 -2*STD = -4.364  Date_of_death = Aug2015 
 2*STD = 4.3637 
 -2*STD = -4.364  Date_of_death = Aug2015 
 2*STD = 4.3637 
 -2*STD = -4.364  Date_of_death = Jul2015 
 2*STD = 4.3637 
 -2*STD = -4.364  Date_of_death = Jul2015 
 2*STD = 4.3637 
 -2*STD = -4.364  Date_of_death = Jun2015 
 2*STD = 4.3638 
 -2*STD = -4.364  Date_of_death = Jun2015 
 2*STD = 4.3638 
 -2*STD = -4.364  Date_of_death = May2015 
 2*STD = 4.3638 
 -2*STD = -4.364  Date_of_death = May2015 
 2*STD = 4.3638 
 -2*STD = -4.364  Date_of_death = Apr2015 
 2*STD = 4.3639 
 -2*STD = -4.364  Date_of_death = Apr2015 
 2*STD = 4.3639 
 -2*STD = -4.364  Date_of_death = Mar2015 
 2*STD = 4.3639 
 -2*STD = -4.364  Date_of_death = Mar2015 
 2*STD = 4.3639 
 -2*STD = -4.364  Date_of_death = Feb2015 
 2*STD = 4.364 
 -2*STD = -4.364  Date_of_death = Feb2015 
 2*STD = 4.364 
 -2*STD = -4.364  Date_of_death = Jan2015 
 2*STD = 4.3641 
 -2*STD = -4.364  Date_of_death = Jan2015 
 2*STD = 4.3641 
 -2*STD = -4.364  Date_of_death = Dec2014 
 2*STD = 4.3724 
 -2*STD = -4.372  Date_of_death = Dec2014 
 2*STD = 4.3724 
 -2*STD = -4.372  Date_of_death = Nov2014 
 2*STD = 4.3725 
 -2*STD = -4.372  Date_of_death = Nov2014 
 2*STD = 4.3725 
 -2*STD = -4.372  Date_of_death = Oct2014 
 2*STD = 4.3725 
 -2*STD = -4.372  Date_of_death = Oct2014 
 2*STD = 4.3725 
 -2*STD = -4.372  Date_of_death = Sep2014 
 2*STD = 4.3725 
 -2*STD = -4.373  Date_of_death = Sep2014 
 2*STD = 4.3725 
 -2*STD = -4.373  Date_of_death = Aug2014 
 2*STD = 4.3726 
 -2*STD = -4.373  Date_of_death = Aug2014 
 2*STD = 4.3726 
 -2*STD = -4.373  Date_of_death = Jul2014 
 2*STD = 4.3726 
 -2*STD = -4.373  Date_of_death = Jul2014 
 2*STD = 4.3726 
 -2*STD = -4.373  Date_of_death = Jun2014 
 2*STD = 4.3727 
 -2*STD = -4.373  Date_of_death = Jun2014 
 2*STD = 4.3727 
 -2*STD = -4.373  Date_of_death = May2014 
 2*STD = 4.3727 
 -2*STD = -4.373  Date_of_death = May2014 
 2*STD = 4.3727 
 -2*STD = -4.373  Date_of_death = Apr2014 
 2*STD = 4.3728 
 -2*STD = -4.373  Date_of_death = Apr2014 
 2*STD = 4.3728 
 -2*STD = -4.373  Date_of_death = Mar2014 
 2*STD = 4.3729 
 -2*STD = -4.373  Date_of_death = Mar2014 
 2*STD = 4.3729 
 -2*STD = -4.373  Date_of_death = Feb2014 
 2*STD = 4.373 
 -2*STD = -4.373  Date_of_death = Feb2014 
 2*STD = 4.373 
 -2*STD = -4.373  Date_of_death = Jan2014 
 2*STD = 4.3731 
 -2*STD = -4.373  Date_of_death = Jan2014 
 2*STD = 4.3731 
 -2*STD = -4.373  Date_of_death = Dec2013 
 2*STD = 4.3827 
 -2*STD = -4.383  Date_of_death = Dec2013 
 2*STD = 4.3827 
 -2*STD = -4.383  Date_of_death = Nov2013 
 2*STD = 4.3827 
 -2*STD = -4.383  Date_of_death = Nov2013 
 2*STD = 4.3827 
 -2*STD = -4.383  Date_of_death = Oct2013 
 2*STD = 4.3828 
 -2*STD = -4.383  Date_of_death = Oct2013 
 2*STD = 4.3828 
 -2*STD = -4.383  Date_of_death = Sep2013 
 2*STD = 4.3828 
 -2*STD = -4.383  Date_of_death = Sep2013 
 2*STD = 4.3828 
 -2*STD = -4.383  Date_of_death = Aug2013 
 2*STD = 4.3829 
 -2*STD = -4.383  Date_of_death = Aug2013 
 2*STD = 4.3829 
 -2*STD = -4.383  Date_of_death = Jul2013 
 2*STD = 4.3829 
 -2*STD = -4.383  Date_of_death = Jul2013 
 2*STD = 4.3829 
 -2*STD = -4.383  Date_of_death = Jun2013 
 2*STD = 4.383 
 -2*STD = -4.383  Date_of_death = Jun2013 
 2*STD = 4.383 
 -2*STD = -4.383  Date_of_death = May2013 
 2*STD = 4.383 
 -2*STD = -4.383  Date_of_death = May2013 
 2*STD = 4.383 
 -2*STD = -4.383  Date_of_death = Apr2013 
 2*STD = 4.3831 
 -2*STD = -4.383  Date_of_death = Apr2013 
 2*STD = 4.3831 
 -2*STD = -4.383  Date_of_death = Mar2013 
 2*STD = 4.3832 
 -2*STD = -4.383  Date_of_death = Mar2013 
 2*STD = 4.3832 
 -2*STD = -4.383  Date_of_death = Feb2013 
 2*STD = 4.3833 
 -2*STD = -4.383  Date_of_death = Feb2013 
 2*STD = 4.3833 
 -2*STD = -4.383  Date_of_death = Jan2013 
 2*STD = 4.3834 
 -2*STD = -4.383  Date_of_death = Jan2013 
 2*STD = 4.3834 
 -2*STD = -4.383  Date_of_death = Dec2012 
 2*STD = 4.3946 
 -2*STD = -4.395  Date_of_death = Dec2012 
 2*STD = 4.3946 
 -2*STD = -4.395  Date_of_death = Nov2012 
 2*STD = 4.3947 
 -2*STD = -4.395  Date_of_death = Nov2012 
 2*STD = 4.3947 
 -2*STD = -4.395  Date_of_death = Oct2012 
 2*STD = 4.3947 
 -2*STD = -4.395  Date_of_death = Oct2012 
 2*STD = 4.3947 
 -2*STD = -4.395  Date_of_death = Sep2012 
 2*STD = 4.3948 
 -2*STD = -4.395  Date_of_death = Sep2012 
 2*STD = 4.3948 
 -2*STD = -4.395  Date_of_death = Aug2012 
 2*STD = 4.3948 
 -2*STD = -4.395  Date_of_death = Aug2012 
 2*STD = 4.3948 
 -2*STD = -4.395  Date_of_death = Jul2012 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = Jul2012 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = Jun2012 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = Jun2012 
 2*STD = 4.3949 
 -2*STD = -4.395  Date_of_death = May2012 
 2*STD = 4.395 
 -2*STD = -4.395  Date_of_death = May2012 
 2*STD = 4.395 
 -2*STD = -4.395  Date_of_death = Apr2012 
 2*STD = 4.3951 
 -2*STD = -4.395  Date_of_death = Apr2012 
 2*STD = 4.3951 
 -2*STD = -4.395  Date_of_death = Mar2012 
 2*STD = 4.3952 
 -2*STD = -4.395  Date_of_death = Mar2012 
 2*STD = 4.3952 
 -2*STD = -4.395  Date_of_death = Feb2012 
 2*STD = 4.3953 
 -2*STD = -4.395  Date_of_death = Feb2012 
 2*STD = 4.3953 
 -2*STD = -4.395  Date_of_death = Jan2012 
 2*STD = 4.3954 
 -2*STD = -4.395  Date_of_death = Jan2012 
 2*STD = 4.3954 
 -2*STD = -4.395  Date_of_death = Dec2011 
 2*STD = 4.4087 
 -2*STD = -4.409  Date_of_death = Dec2011 
 2*STD = 4.4087 
 -2*STD = -4.409  Date_of_death = Nov2011 
 2*STD = 4.4088 
 -2*STD = -4.409  Date_of_death = Nov2011 
 2*STD = 4.4088 
 -2*STD = -4.409  Date_of_death = Oct2011 
 2*STD = 4.4088 
 -2*STD = -4.409  Date_of_death = Oct2011 
 2*STD = 4.4088 
 -2*STD = -4.409  Date_of_death = Sep2011 
 2*STD = 4.4089 
 -2*STD = -4.409  Date_of_death = Sep2011 
 2*STD = 4.4089 
 -2*STD = -4.409  Date_of_death = Aug2011 
 2*STD = 4.4089 
 -2*STD = -4.409  Date_of_death = Aug2011 
 2*STD = 4.4089 
 -2*STD = -4.409  Date_of_death = Jul2011 
 2*STD = 4.409 
 -2*STD = -4.409  Date_of_death = Jul2011 
 2*STD = 4.409 
 -2*STD = -4.409  Date_of_death = Jun2011 
 2*STD = 4.4091 
 -2*STD = -4.409  Date_of_death = Jun2011 
 2*STD = 4.4091 
 -2*STD = -4.409  Date_of_death = May2011 
 2*STD = 4.4091 
 -2*STD = -4.409  Date_of_death = May2011 
 2*STD = 4.4091 
 -2*STD = -4.409  Date_of_death = Apr2011 
 2*STD = 4.4092 
 -2*STD = -4.409  Date_of_death = Apr2011 
 2*STD = 4.4092 
 -2*STD = -4.409  Date_of_death = Mar2011 
 2*STD = 4.4093 
 -2*STD = -4.409  Date_of_death = Mar2011 
 2*STD = 4.4093 
 -2*STD = -4.409  Date_of_death = Feb2011 
 2*STD = 4.4094 
 -2*STD = -4.409  Date_of_death = Feb2011 
 2*STD = 4.4094 
 -2*STD = -4.409  Date_of_death = Jan2011 
 2*STD = 4.4095 
 -2*STD = -4.41  Date_of_death = Jan2011 
 2*STD = 4.4095 
 -2*STD = -4.41  Date_of_death = Dec2010 
 2*STD = 4.4256 
 -2*STD = -4.426  Date_of_death = Dec2010 
 2*STD = 4.4256 
 -2*STD = -4.426  Date_of_death = Nov2010 
 2*STD = 4.4257 
 -2*STD = -4.426  Date_of_death = Nov2010 
 2*STD = 4.4257 
 -2*STD = -4.426  Date_of_death = Oct2010 
 2*STD = 4.4257 
 -2*STD = -4.426  Date_of_death = Oct2010 
 2*STD = 4.4257 
 -2*STD = -4.426  Date_of_death = Sep2010 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Sep2010 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Aug2010 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Aug2010 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jul2010 
 2*STD = 4.4259 
 -2*STD = -4.426  Date_of_death = Jul2010 
 2*STD = 4.4259 
 -2*STD = -4.426  Date_of_death = Jun2010 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jun2010 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = May2010 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = May2010 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Apr2010 
 2*STD = 4.4261 
 -2*STD = -4.426  Date_of_death = Apr2010 
 2*STD = 4.4261 
 -2*STD = -4.426  Date_of_death = Mar2010 
 2*STD = 4.4262 
 -2*STD = -4.426  Date_of_death = Mar2010 
 2*STD = 4.4262 
 -2*STD = -4.426  Date_of_death = Feb2010 
 2*STD = 4.4263 
 -2*STD = -4.426  Date_of_death = Feb2010 
 2*STD = 4.4263 
 -2*STD = -4.426  Date_of_death = Jan2010 
 2*STD = 4.4264 
 -2*STD = -4.426  Date_of_death = Jan2010 
 2*STD = 4.4264 
 -2*STD = -4.426  Date_of_death = Dec2009 
 2*STD = 4.4462 
 -2*STD = -4.446  Date_of_death = Dec2009 
 2*STD = 4.4462 
 -2*STD = -4.446  Date_of_death = Nov2009 
 2*STD = 4.4463 
 -2*STD = -4.446  Date_of_death = Nov2009 
 2*STD = 4.4463 
 -2*STD = -4.446  Date_of_death = Oct2009 
 2*STD = 4.4463 
 -2*STD = -4.446  Date_of_death = Oct2009 
 2*STD = 4.4463 
 -2*STD = -4.446  Date_of_death = Sep2009 
 2*STD = 4.4464 
 -2*STD = -4.446  Date_of_death = Sep2009 
 2*STD = 4.4464 
 -2*STD = -4.446  Date_of_death = Aug2009 
 2*STD = 4.4464 
 -2*STD = -4.446  Date_of_death = Aug2009 
 2*STD = 4.4464 
 -2*STD = -4.446  Date_of_death = Jul2009 
 2*STD = 4.4465 
 -2*STD = -4.446  Date_of_death = Jul2009 
 2*STD = 4.4465 
 -2*STD = -4.446  Date_of_death = Jun2009 
 2*STD = 4.4466 
 -2*STD = -4.447  Date_of_death = Jun2009 
 2*STD = 4.4466 
 -2*STD = -4.447  Date_of_death = May2009 
 2*STD = 4.4467 
 -2*STD = -4.447  Date_of_death = May2009 
 2*STD = 4.4467 
 -2*STD = -4.447  Date_of_death = Apr2009 
 2*STD = 4.4467 
 -2*STD = -4.447  Date_of_death = Apr2009 
 2*STD = 4.4467 
 -2*STD = -4.447  Date_of_death = Mar2009 
 2*STD = 4.4468 
 -2*STD = -4.447  Date_of_death = Mar2009 
 2*STD = 4.4468 
 -2*STD = -4.447  Date_of_death = Feb2009 
 2*STD = 4.447 
 -2*STD = -4.447  Date_of_death = Feb2009 
 2*STD = 4.447 
 -2*STD = -4.447  Date_of_death = Jan2009 
 2*STD = 4.4471 
 -2*STD = -4.447  Date_of_death = Jan2009 
 2*STD = 4.4471 
 -2*STD = -4.447  Date_of_death = Dec2008 
 2*STD = 4.4719 
 -2*STD = -4.472  Date_of_death = Dec2008 
 2*STD = 4.4719 
 -2*STD = -4.472  Date_of_death = Nov2008 
 2*STD = 4.472 
 -2*STD = -4.472  Date_of_death = Nov2008 
 2*STD = 4.472 
 -2*STD = -4.472  Date_of_death = Oct2008 
 2*STD = 4.472 
 -2*STD = -4.472  Date_of_death = Oct2008 
 2*STD = 4.472 
 -2*STD = -4.472  Date_of_death = Sep2008 
 2*STD = 4.4721 
 -2*STD = -4.472  Date_of_death = Sep2008 
 2*STD = 4.4721 
 -2*STD = -4.472  Date_of_death = Aug2008 
 2*STD = 4.4721 
 -2*STD = -4.472  Date_of_death = Aug2008 
 2*STD = 4.4721 
 -2*STD = -4.472  Date_of_death = Jul2008 
 2*STD = 4.4722 
 -2*STD = -4.472  Date_of_death = Jul2008 
 2*STD = 4.4722 
 -2*STD = -4.472  Date_of_death = Jun2008 
 2*STD = 4.4723 
 -2*STD = -4.472  Date_of_death = Jun2008 
 2*STD = 4.4723 
 -2*STD = -4.472  Date_of_death = May2008 
 2*STD = 4.4724 
 -2*STD = -4.472  Date_of_death = May2008 
 2*STD = 4.4724 
 -2*STD = -4.472  Date_of_death = Apr2008 
 2*STD = 4.4725 
 -2*STD = -4.472  Date_of_death = Apr2008 
 2*STD = 4.4725 
 -2*STD = -4.472  Date_of_death = Mar2008 
 2*STD = 4.4726 
 -2*STD = -4.473  Date_of_death = Mar2008 
 2*STD = 4.4726 
 -2*STD = -4.473  Date_of_death = Feb2008 
 2*STD = 4.4727 
 -2*STD = -4.473  Date_of_death = Feb2008 
 2*STD = 4.4727 
 -2*STD = -4.473  Date_of_death = Jan2008 
 2*STD = 4.4728 
 -2*STD = -4.473  Date_of_death = Jan2008 
 2*STD = 4.4728 
 -2*STD = -4.473  Date_of_death = Dec2007 
 2*STD = 4.5049 
 -2*STD = -4.505  Date_of_death = Dec2007 
 2*STD = 4.5049 
 -2*STD = -4.505  Date_of_death = Nov2007 
 2*STD = 4.505 
 -2*STD = -4.505  Date_of_death = Nov2007 
 2*STD = 4.505 
 -2*STD = -4.505  Date_of_death = Oct2007 
 2*STD = 4.505 
 -2*STD = -4.505  Date_of_death = Oct2007 
 2*STD = 4.505 
 -2*STD = -4.505  Date_of_death = Sep2007 
 2*STD = 4.5051 
 -2*STD = -4.505  Date_of_death = Sep2007 
 2*STD = 4.5051 
 -2*STD = -4.505  Date_of_death = Aug2007 
 2*STD = 4.5051 
 -2*STD = -4.505  Date_of_death = Aug2007 
 2*STD = 4.5051 
 -2*STD = -4.505  Date_of_death = Jul2007 
 2*STD = 4.5052 
 -2*STD = -4.505  Date_of_death = Jul2007 
 2*STD = 4.5052 
 -2*STD = -4.505  Date_of_death = Jun2007 
 2*STD = 4.5053 
 -2*STD = -4.505  Date_of_death = Jun2007 
 2*STD = 4.5053 
 -2*STD = -4.505  Date_of_death = May2007 
 2*STD = 4.5054 
 -2*STD = -4.505  Date_of_death = May2007 
 2*STD = 4.5054 
 -2*STD = -4.505  Date_of_death = Apr2007 
 2*STD = 4.5055 
 -2*STD = -4.505  Date_of_death = Apr2007 
 2*STD = 4.5055 
 -2*STD = -4.505  Date_of_death = Mar2007 
 2*STD = 4.5056 
 -2*STD = -4.506  Date_of_death = Mar2007 
 2*STD = 4.5056 
 -2*STD = -4.506  Date_of_death = Feb2007 
 2*STD = 4.5057 
 -2*STD = -4.506  Date_of_death = Feb2007 
 2*STD = 4.5057 
 -2*STD = -4.506  Date_of_death = Jan2007 
 2*STD = 4.5058 
 -2*STD = -4.506  Date_of_death = Jan2007 
 2*STD = 4.5058 
 -2*STD = -4.506  Date_of_death = Dec2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Dec2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Nov2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Nov2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Oct2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Oct2006 
 2*STD = 4.5489 
 -2*STD = -4.549  Date_of_death = Sep2006 
 2*STD = 4.549 
 -2*STD = -4.549  Date_of_death = Sep2006 
 2*STD = 4.549 
 -2*STD = -4.549  Date_of_death = Aug2006 
 2*STD = 4.549 
 -2*STD = -4.549  Date_of_death = Aug2006 
 2*STD = 4.549 
 -2*STD = -4.549  Date_of_death = Jul2006 
 2*STD = 4.5491 
 -2*STD = -4.549  Date_of_death = Jul2006 
 2*STD = 4.5491 
 -2*STD = -4.549  Date_of_death = Jun2006 
 2*STD = 4.5492 
 -2*STD = -4.549  Date_of_death = Jun2006 
 2*STD = 4.5492 
 -2*STD = -4.549  Date_of_death = May2006 
 2*STD = 4.5492 
 -2*STD = -4.549  Date_of_death = May2006 
 2*STD = 4.5492 
 -2*STD = -4.549  Date_of_death = Apr2006 
 2*STD = 4.5493 
 -2*STD = -4.549  Date_of_death = Apr2006 
 2*STD = 4.5493 
 -2*STD = -4.549  Date_of_death = Mar2006 
 2*STD = 4.5494 
 -2*STD = -4.549  Date_of_death = Mar2006 
 2*STD = 4.5494 
 -2*STD = -4.549  Date_of_death = Feb2006 
 2*STD = 4.5495 
 -2*STD = -4.55  Date_of_death = Feb2006 
 2*STD = 4.5495 
 -2*STD = -4.55  Date_of_death = Jan2006 
 2*STD = 4.5496 
 -2*STD = -4.55  Date_of_death = Jan2006 
 2*STD = 4.5496 
 -2*STD = -4.55  Date_of_death = Dec2005 
 2*STD = 4.6101 
 -2*STD = -4.61  Date_of_death = Dec2005 
 2*STD = 4.6101 
 -2*STD = -4.61  Date_of_death = Nov2005 
 2*STD = 4.6101 
 -2*STD = -4.61  Date_of_death = Nov2005 
 2*STD = 4.6101 
 -2*STD = -4.61  Date_of_death = Oct2005 
 2*STD = 4.6102 
 -2*STD = -4.61  Date_of_death = Oct2005 
 2*STD = 4.6102 
 -2*STD = -4.61  Date_of_death = Sep2005 
 2*STD = 4.6102 
 -2*STD = -4.61  Date_of_death = Sep2005 
 2*STD = 4.6102 
 -2*STD = -4.61  Date_of_death = Aug2005 
 2*STD = 4.6103 
 -2*STD = -4.61  Date_of_death = Aug2005 
 2*STD = 4.6103 
 -2*STD = -4.61  Date_of_death = Jul2005 
 2*STD = 4.6103 
 -2*STD = -4.61  Date_of_death = Jul2005 
 2*STD = 4.6103 
 -2*STD = -4.61  Date_of_death = Jun2005 
 2*STD = 4.6104 
 -2*STD = -4.61  Date_of_death = Jun2005 
 2*STD = 4.6104 
 -2*STD = -4.61  Date_of_death = May2005 
 2*STD = 4.6104 
 -2*STD = -4.61  Date_of_death = May2005 
 2*STD = 4.6104 
 -2*STD = -4.61  Date_of_death = Apr2005 
 2*STD = 4.6105 
 -2*STD = -4.611  Date_of_death = Apr2005 
 2*STD = 4.6105 
 -2*STD = -4.611  Date_of_death = Mar2005 
 2*STD = 4.6106 
 -2*STD = -4.611  Date_of_death = Mar2005 
 2*STD = 4.6106 
 -2*STD = -4.611  Date_of_death = Feb2005 
 2*STD = 4.6107 
 -2*STD = -4.611  Date_of_death = Feb2005 
 2*STD = 4.6107 
 -2*STD = -4.611  Date_of_death = Jan2005 
 2*STD = 4.6108 
 -2*STD = -4.611  Date_of_death = Jan2005 
 2*STD = 4.6108 
 -2*STD = -4.611  Date_of_death = Dec2004 
 2*STD = 4.7013 
 -2*STD = -4.701  Date_of_death = Dec2004 
 2*STD = 4.7013 
 -2*STD = -4.701  Date_of_death = Nov2004 
 2*STD = 4.7013 
 -2*STD = -4.701  Date_of_death = Nov2004 
 2*STD = 4.7013 
 -2*STD = -4.701  Date_of_death = Oct2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Oct2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Sep2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Sep2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Aug2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Aug2004 
 2*STD = 4.7014 
 -2*STD = -4.701  Date_of_death = Jul2004 
 2*STD = 4.7015 
 -2*STD = -4.701  Date_of_death = Jul2004 
 2*STD = 4.7015 
 -2*STD = -4.701  Date_of_death = Jun2004 
 2*STD = 4.7015 
 -2*STD = -4.702  Date_of_death = Jun2004 
 2*STD = 4.7015 
 -2*STD = -4.702  Date_of_death = May2004 
 2*STD = 4.7016 
 -2*STD = -4.702  Date_of_death = May2004 
 2*STD = 4.7016 
 -2*STD = -4.702  Date_of_death = Apr2004 
 2*STD = 4.7016 
 -2*STD = -4.702  Date_of_death = Apr2004 
 2*STD = 4.7016 
 -2*STD = -4.702  Date_of_death = Mar2004 
 2*STD = 4.7017 
 -2*STD = -4.702  Date_of_death = Mar2004 
 2*STD = 4.7017 
 -2*STD = -4.702  Date_of_death = Feb2004 
 2*STD = 4.7018 
 -2*STD = -4.702  Date_of_death = Feb2004 
 2*STD = 4.7018 
 -2*STD = -4.702  Date_of_death = Jan2004 
 2*STD = 4.7019 
 -2*STD = -4.702  Date_of_death = Jan2004 
 2*STD = 4.7019 
 -2*STD = -4.702  Date_of_death = Dec2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Dec2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Nov2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Nov2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Oct2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Oct2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Sep2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Sep2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Aug2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Aug2003 
 2*STD = 4.851 
 -2*STD = -4.851  Date_of_death = Jul2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = Jul2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = Jun2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = Jun2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = May2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = May2003 
 2*STD = 4.8511 
 -2*STD = -4.851  Date_of_death = Apr2003 
 2*STD = 4.8512 
 -2*STD = -4.851  Date_of_death = Apr2003 
 2*STD = 4.8512 
 -2*STD = -4.851  Date_of_death = Mar2003 
 2*STD = 4.8512 
 -2*STD = -4.851  Date_of_death = Mar2003 
 2*STD = 4.8512 
 -2*STD = -4.851  Date_of_death = Feb2003 
 2*STD = 4.8513 
 -2*STD = -4.851  Date_of_death = Feb2003 
 2*STD = 4.8513 
 -2*STD = -4.851  Date_of_death = Jan2003 
 2*STD = 4.8514 
 -2*STD = -4.851  Date_of_death = Jan2003 
 2*STD = 4.8514 
 -2*STD = -4.851  Date_of_death = Dec2002 
 2*STD = 5.1398 
 -2*STD = -5.14  Date_of_death = Dec2002 
 2*STD = 5.1398 
 -2*STD = -5.14  Date_of_death = Nov2002 
 2*STD = 5.1398 
 -2*STD = -5.14  Date_of_death = Nov2002 
 2*STD = 5.1398 
 -2*STD = -5.14  Date_of_death = Oct2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Oct2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Sep2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Sep2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Aug2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Aug2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Jul2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Jul2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Jun2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Jun2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = May2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = May2002 
 2*STD = 5.1399 
 -2*STD = -5.14  Date_of_death = Apr2002 
 2*STD = 5.14 
 -2*STD = -5.14  Date_of_death = Apr2002 
 2*STD = 5.14 
 -2*STD = -5.14  Date_of_death = Mar2002 
 2*STD = 5.14 
 -2*STD = -5.14  Date_of_death = Mar2002 
 2*STD = 5.14 
 -2*STD = -5.14  Date_of_death = Feb2002 
 2*STD = 5.1401 
 -2*STD = -5.14  Date_of_death = Feb2002 
 2*STD = 5.1401 
 -2*STD = -5.14  Date_of_death = Jan2002 
 2*STD = 5.1401 
 -2*STD = -5.14  Date_of_death = Jan2002 
 2*STD = 5.1401 
 -2*STD = -5.14  Date_of_death = Dec2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Dec2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Nov2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Nov2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Oct2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Oct2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Sep2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Sep2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Aug2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Aug2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Jul2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Jul2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Jun2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = Jun2001 
 2*STD = 5.9282 
 -2*STD = -5.928  Date_of_death = May2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = May2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Apr2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Apr2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Mar2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Mar2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Feb2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Feb2001 
 2*STD = 5.9283 
 -2*STD = -5.928  Date_of_death = Jan2001 
 2*STD = 5.9284 
 -2*STD = -5.928  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
239 NOV2019 3.340109 2.16859 -0.910244 7.590462
240 DEC2019 3.392387 2.16902 -0.858810 7.643585
241 JAN2020 4.276440 2.16718 0.028844 8.524035
242 FEB2020 4.076096 2.16760 -0.172329 8.324521
243 MAR2020 3.325779 2.16802 -0.923468 7.575027
244 APR2020 3.475431 2.16844 -0.774632 7.725494
245 MAY2020 3.675104 2.16885 -0.575768 7.925976
246 JUN2020 3.724771 2.16926 -0.526903 7.976444
247 JUL2020 4.224431 2.16967 -0.028037 8.476900
248 AUG2020 3.574111 2.17007 -0.679146 7.827368
249 SEP2020 3.823762 2.17047 -0.430277 8.077800
250 OCT2020 2.623434 2.17086 -1.631378 6.878247

Forecasts Only Plot

 Date_of_death = Oct2020 
 Forecast = 2.6234  Date_of_death = Sep2020 
 Forecast = 3.8238  Date_of_death = Sep2020 
 Forecast = 3.8238  Date_of_death = Aug2020 
 Forecast = 3.5741  Date_of_death = Aug2020 
 Forecast = 3.5741  Date_of_death = Jul2020 
 Forecast = 4.2244  Date_of_death = Jul2020 
 Forecast = 4.2244  Date_of_death = Jun2020 
 Forecast = 3.7248  Date_of_death = Jun2020 
 Forecast = 3.7248  Date_of_death = May2020 
 Forecast = 3.6751  Date_of_death = May2020 
 Forecast = 3.6751  Date_of_death = Apr2020 
 Forecast = 3.4754  Date_of_death = Apr2020 
 Forecast = 3.4754  Date_of_death = Mar2020 
 Forecast = 3.3258  Date_of_death = Mar2020 
 Forecast = 3.3258  Date_of_death = Feb2020 
 Forecast = 4.0761  Date_of_death = Feb2020 
 Forecast = 4.0761  Date_of_death = Jan2020 
 Forecast = 4.2764  Date_of_death = Jan2020 
 Forecast = 4.2764  Date_of_death = Dec2019 
 Forecast = 3.3924  Date_of_death = Dec2019 
 Forecast = 3.3924  Date_of_death = Nov2019 
 Forecast = 3.3401  Date_of_death = Oct2020 
 Upper 95% = 6.8782 
 Lower 95% = -1.6314  Date_of_death = Sep2020 
 Upper 95% = 8.0778 
 Lower 95% = -0.4303  Date_of_death = Sep2020 
 Upper 95% = 8.0778 
 Lower 95% = -0.4303  Date_of_death = Aug2020 
 Upper 95% = 7.8274 
 Lower 95% = -0.6791  Date_of_death = Aug2020 
 Upper 95% = 7.8274 
 Lower 95% = -0.6791  Date_of_death = Jul2020 
 Upper 95% = 8.4769 
 Lower 95% = -0.0280  Date_of_death = Jul2020 
 Upper 95% = 8.4769 
 Lower 95% = -0.0280  Date_of_death = Jun2020 
 Upper 95% = 7.9764 
 Lower 95% = -0.5269  Date_of_death = Jun2020 
 Upper 95% = 7.9764 
 Lower 95% = -0.5269  Date_of_death = May2020 
 Upper 95% = 7.9260 
 Lower 95% = -0.5758  Date_of_death = May2020 
 Upper 95% = 7.9260 
 Lower 95% = -0.5758  Date_of_death = Apr2020 
 Upper 95% = 7.7255 
 Lower 95% = -0.7746  Date_of_death = Apr2020 
 Upper 95% = 7.7255 
 Lower 95% = -0.7746  Date_of_death = Mar2020 
 Upper 95% = 7.5750 
 Lower 95% = -0.9235  Date_of_death = Mar2020 
 Upper 95% = 7.5750 
 Lower 95% = -0.9235  Date_of_death = Feb2020 
 Upper 95% = 8.3245 
 Lower 95% = -0.1723  Date_of_death = Feb2020 
 Upper 95% = 8.3245 
 Lower 95% = -0.1723  Date_of_death = Jan2020 
 Upper 95% = 8.5240 
 Lower 95% = 0.0288  Date_of_death = Jan2020 
 Upper 95% = 8.5240 
 Lower 95% = 0.0288  Date_of_death = Dec2019 
 Upper 95% = 7.6436 
 Lower 95% = -0.8588  Date_of_death = Dec2019 
 Upper 95% = 7.6436 
 Lower 95% = -0.8588  Date_of_death = Nov2019 
 Upper 95% = 7.5905 
 Lower 95% = -0.9102
Forecast Only Plot

Forecasts Plot

 X = 21823  Date_of_death = Oct2020 
 Forecast = 2.6234  Date_of_death = Sep2020 
 Forecast = 3.8238  Date_of_death = Sep2020 
 Forecast = 3.8238  Date_of_death = Aug2020 
 Forecast = 3.5741  Date_of_death = Aug2020 
 Forecast = 3.5741  Date_of_death = Jul2020 
 Forecast = 4.2244  Date_of_death = Jul2020 
 Forecast = 4.2244  Date_of_death = Jun2020 
 Forecast = 3.7248  Date_of_death = Jun2020 
 Forecast = 3.7248  Date_of_death = May2020 
 Forecast = 3.6751  Date_of_death = May2020 
 Forecast = 3.6751  Date_of_death = Apr2020 
 Forecast = 3.4754  Date_of_death = Apr2020 
 Forecast = 3.4754  Date_of_death = Mar2020 
 Forecast = 3.3258  Date_of_death = Mar2020 
 Forecast = 3.3258  Date_of_death = Feb2020 
 Forecast = 4.0761  Date_of_death = Feb2020 
 Forecast = 4.0761  Date_of_death = Jan2020 
 Forecast = 4.2764  Date_of_death = Jan2020 
 Forecast = 4.2764  Date_of_death = Dec2019 
 Forecast = 3.3924  Date_of_death = Dec2019 
 Forecast = 3.3924  Date_of_death = Nov2019 
 Forecast = 3.3401  Date_of_death = Nov2019 
 Forecast = 3.3401  Date_of_death = Oct2019 
 Forecast = 2.7443  Date_of_death = Oct2019 
 Forecast = 2.7443  Date_of_death = Sep2019 
 Forecast = 3.8470  Date_of_death = Sep2019 
 Forecast = 3.8470  Date_of_death = Aug2019 
 Forecast = 3.6502  Date_of_death = Aug2019 
 Forecast = 3.6502  Date_of_death = Jul2019 
 Forecast = 4.5117  Date_of_death = Jul2019 
 Forecast = 4.5117  Date_of_death = Jun2019 
 Forecast = 3.9739  Date_of_death = Jun2019 
 Forecast = 3.9739  Date_of_death = May2019 
 Forecast = 3.6643  Date_of_death = May2019 
 Forecast = 3.6643  Date_of_death = Apr2019 
 Forecast = 3.5507  Date_of_death = Apr2019 
 Forecast = 3.5507  Date_of_death = Mar2019 
 Forecast = 3.5302  Date_of_death = Mar2019 
 Forecast = 3.5302  Date_of_death = Feb2019 
 Forecast = 4.4438  Date_of_death = Feb2019 
 Forecast = 4.4438  Date_of_death = Jan2019 
 Forecast = 4.6574  Date_of_death = Jan2019 
 Forecast = 4.6574  Date_of_death = Dec2018 
 Forecast = 3.6883  Date_of_death = Dec2018 
 Forecast = 3.6883  Date_of_death = Nov2018 
 Forecast = 3.8019  Date_of_death = Nov2018 
 Forecast = 3.8019  Date_of_death = Oct2018 
 Forecast = 3.1812  Date_of_death = Oct2018 
 Forecast = 3.1812  Date_of_death = Sep2018 
 Forecast = 4.3417  Date_of_death = Sep2018 
 Forecast = 4.3417  Date_of_death = Aug2018 
 Forecast = 4.0112  Date_of_death = Aug2018 
 Forecast = 4.0112  Date_of_death = Jul2018 
 Forecast = 4.7101  Date_of_death = Jul2018 
 Forecast = 4.7101  Date_of_death = Jun2018 
 Forecast = 4.0625  Date_of_death = Jun2018 
 Forecast = 4.0625  Date_of_death = May2018 
 Forecast = 4.0506  Date_of_death = May2018 
 Forecast = 4.0506  Date_of_death = Apr2018 
 Forecast = 3.9047  Date_of_death = Apr2018 
 Forecast = 3.9047  Date_of_death = Mar2018 
 Forecast = 3.8693  Date_of_death = Mar2018 
 Forecast = 3.8693  Date_of_death = Feb2018 
 Forecast = 4.7199  Date_of_death = Feb2018 
 Forecast = 4.7199  Date_of_death = Jan2018 
 Forecast = 4.9077  Date_of_death = Jan2018 
 Forecast = 4.9077  Date_of_death = Dec2017 
 Forecast = 3.8660  Date_of_death = Dec2017 
 Forecast = 3.8660  Date_of_death = Nov2017 
 Forecast = 3.9264  Date_of_death = Nov2017 
 Forecast = 3.9264  Date_of_death = Oct2017 
 Forecast = 3.2881  Date_of_death = Oct2017 
 Forecast = 3.2881  Date_of_death = Sep2017 
 Forecast = 4.4973  Date_of_death = Sep2017 
 Forecast = 4.4973  Date_of_death = Aug2017 
 Forecast = 3.9301  Date_of_death = Aug2017 
 Forecast = 3.9301  Date_of_death = Jul2017 
 Forecast = 4.8319  Date_of_death = Jul2017 
 Forecast = 4.8319  Date_of_death = Jun2017 
 Forecast = 3.9509  Date_of_death = Jun2017 
 Forecast = 3.9509  Date_of_death = May2017 
 Forecast = 4.0727  Date_of_death = May2017 
 Forecast = 4.0727  Date_of_death = Apr2017 
 Forecast = 4.0576  Date_of_death = Apr2017 
 Forecast = 4.0576  Date_of_death = Mar2017 
 Forecast = 3.8818  Date_of_death = Mar2017 
 Forecast = 3.8818  Date_of_death = Feb2017 
 Forecast = 4.8632  Date_of_death = Feb2017 
 Forecast = 4.8632  Date_of_death = Jan2017 
 Forecast = 4.7628  Date_of_death = Jan2017 
 Forecast = 4.7628  Date_of_death = Dec2016 
 Forecast = 3.7518  Date_of_death = Dec2016 
 Forecast = 3.7518  Date_of_death = Nov2016 
 Forecast = 3.8774  Date_of_death = Nov2016 
 Forecast = 3.8774  Date_of_death = Oct2016 
 Forecast = 3.2605  Date_of_death = Oct2016 
 Forecast = 3.2605  Date_of_death = Sep2016 
 Forecast = 4.5436  Date_of_death = Sep2016 
 Forecast = 4.5436  Date_of_death = Aug2016 
 Forecast = 3.8365  Date_of_death = Aug2016 
 Forecast = 3.8365  Date_of_death = Jul2016 
 Forecast = 4.8563  Date_of_death = Jul2016 
 Forecast = 4.8563  Date_of_death = Jun2016 
 Forecast = 3.9841  Date_of_death = Jun2016 
 Forecast = 3.9841  Date_of_death = May2016 
 Forecast = 4.2821  Date_of_death = May2016 
 Forecast = 4.2821  Date_of_death = Apr2016 
 Forecast = 4.2675  Date_of_death = Apr2016 
 Forecast = 4.2675  Date_of_death = Mar2016 
 Forecast = 3.8741  Date_of_death = Mar2016 
 Forecast = 3.8741  Date_of_death = Feb2016 
 Forecast = 4.7913  Date_of_death = Feb2016 
 Forecast = 4.7913  Date_of_death = Jan2016 
 Forecast = 4.7906  Date_of_death = Jan2016 
 Forecast = 4.7906  Date_of_death = Dec2015 
 Forecast = 3.6248  Date_of_death = Dec2015 
 Forecast = 3.6248  Date_of_death = Nov2015 
 Forecast = 4.0678  Date_of_death = Nov2015 
 Forecast = 4.0678  Date_of_death = Oct2015 
 Forecast = 3.3446  Date_of_death = Oct2015 
 Forecast = 3.3446  Date_of_death = Sep2015 
 Forecast = 4.5394  Date_of_death = Sep2015 
 Forecast = 4.5394  Date_of_death = Aug2015 
 Forecast = 3.9614  Date_of_death = Aug2015 
 Forecast = 3.9614  Date_of_death = Jul2015 
 Forecast = 4.7212  Date_of_death = Jul2015 
 Forecast = 4.7212  Date_of_death = Jun2015 
 Forecast = 4.2540  Date_of_death = Jun2015 
 Forecast = 4.2540  Date_of_death = May2015 
 Forecast = 4.4185  Date_of_death = May2015 
 Forecast = 4.4185  Date_of_death = Apr2015 
 Forecast = 4.2949  Date_of_death = Apr2015 
 Forecast = 4.2949  Date_of_death = Mar2015 
 Forecast = 3.6337  Date_of_death = Mar2015 
 Forecast = 3.6337  Date_of_death = Feb2015 
 Forecast = 4.3272  Date_of_death = Feb2015 
 Forecast = 4.3272  Date_of_death = Jan2015 
 Forecast = 4.9202  Date_of_death = Jan2015 
 Forecast = 4.9202  Date_of_death = Dec2014 
 Forecast = 3.6749  Date_of_death = Dec2014 
 Forecast = 3.6749  Date_of_death = Nov2014 
 Forecast = 3.7603  Date_of_death = Nov2014 
 Forecast = 3.7603  Date_of_death = Oct2014 
 Forecast = 3.3605  Date_of_death = Oct2014 
 Forecast = 3.3605  Date_of_death = Sep2014 
 Forecast = 4.7924  Date_of_death = Sep2014 
 Forecast = 4.7924  Date_of_death = Aug2014 
 Forecast = 3.6618  Date_of_death = Aug2014 
 Forecast = 3.6618  Date_of_death = Jul2014 
 Forecast = 5.0270  Date_of_death = Jul2014 
 Forecast = 5.0270  Date_of_death = Jun2014 
 Forecast = 4.3420  Date_of_death = Jun2014 
 Forecast = 4.3420  Date_of_death = May2014 
 Forecast = 4.5177  Date_of_death = May2014 
 Forecast = 4.5177  Date_of_death = Apr2014 
 Forecast = 4.0372  Date_of_death = Apr2014 
 Forecast = 4.0372  Date_of_death = Mar2014 
 Forecast = 3.6972  Date_of_death = Mar2014 
 Forecast = 3.6972  Date_of_death = Feb2014 
 Forecast = 4.7730  Date_of_death = Feb2014 
 Forecast = 4.7730  Date_of_death = Jan2014 
 Forecast = 5.3414  Date_of_death = Jan2014 
 Forecast = 5.3414  Date_of_death = Dec2013 
 Forecast = 4.0383  Date_of_death = Dec2013 
 Forecast = 4.0383  Date_of_death = Nov2013 
 Forecast = 3.4621  Date_of_death = Nov2013 
 Forecast = 3.4621  Date_of_death = Oct2013 
 Forecast = 3.5540  Date_of_death = Oct2013 
 Forecast = 3.5540  Date_of_death = Sep2013 
 Forecast = 4.8640  Date_of_death = Sep2013 
 Forecast = 4.8640  Date_of_death = Aug2013 
 Forecast = 3.6907  Date_of_death = Aug2013 
 Forecast = 3.6907  Date_of_death = Jul2013 
 Forecast = 5.1787  Date_of_death = Jul2013 
 Forecast = 5.1787  Date_of_death = Jun2013 
 Forecast = 4.2275  Date_of_death = Jun2013 
 Forecast = 4.2275  Date_of_death = May2013 
 Forecast = 4.1608  Date_of_death = May2013 
 Forecast = 4.1608  Date_of_death = Apr2013 
 Forecast = 3.9138  Date_of_death = Apr2013 
 Forecast = 3.9138  Date_of_death = Mar2013 
 Forecast = 3.6025  Date_of_death = Mar2013 
 Forecast = 3.6025  Date_of_death = Feb2013 
 Forecast = 4.6961  Date_of_death = Feb2013 
 Forecast = 4.6961  Date_of_death = Jan2013 
 Forecast = 4.6773  Date_of_death = Jan2013 
 Forecast = 4.6773  Date_of_death = Dec2012 
 Forecast = 3.6923  Date_of_death = Dec2012 
 Forecast = 3.6923  Date_of_death = Nov2012 
 Forecast = 3.2840  Date_of_death = Nov2012 
 Forecast = 3.2840  Date_of_death = Oct2012 
 Forecast = 3.3773  Date_of_death = Oct2012 
 Forecast = 3.3773  Date_of_death = Sep2012 
 Forecast = 4.8302  Date_of_death = Sep2012 
 Forecast = 4.8302  Date_of_death = Aug2012 
 Forecast = 3.3881  Date_of_death = Aug2012 
 Forecast = 3.3881  Date_of_death = Jul2012 
 Forecast = 4.4583  Date_of_death = Jul2012 
 Forecast = 4.4583  Date_of_death = Jun2012 
 Forecast = 3.8568  Date_of_death = Jun2012 
 Forecast = 3.8568  Date_of_death = May2012 
 Forecast = 4.1480  Date_of_death = May2012 
 Forecast = 4.1480  Date_of_death = Apr2012 
 Forecast = 4.0390  Date_of_death = Apr2012 
 Forecast = 4.0390  Date_of_death = Mar2012 
 Forecast = 3.2421  Date_of_death = Mar2012 
 Forecast = 3.2421  Date_of_death = Feb2012 
 Forecast = 4.5888  Date_of_death = Feb2012 
 Forecast = 4.5888  Date_of_death = Jan2012 
 Forecast = 4.4806  Date_of_death = Jan2012 
 Forecast = 4.4806  Date_of_death = Dec2011 
 Forecast = 3.4672  Date_of_death = Dec2011 
 Forecast = 3.4672  Date_of_death = Nov2011 
 Forecast = 3.3106  Date_of_death = Nov2011 
 Forecast = 3.3106  Date_of_death = Oct2011 
 Forecast = 2.8780  Date_of_death = Oct2011 
 Forecast = 2.8780  Date_of_death = Sep2011 
 Forecast = 4.4902  Date_of_death = Sep2011 
 Forecast = 4.4902  Date_of_death = Aug2011 
 Forecast = 3.4437  Date_of_death = Aug2011 
 Forecast = 3.4437  Date_of_death = Jul2011 
 Forecast = 4.2332  Date_of_death = Jul2011 
 Forecast = 4.2332  Date_of_death = Jun2011 
 Forecast = 3.8870  Date_of_death = Jun2011 
 Forecast = 3.8870  Date_of_death = May2011 
 Forecast = 4.0722  Date_of_death = May2011 
 Forecast = 4.0722  Date_of_death = Apr2011 
 Forecast = 3.7801  Date_of_death = Apr2011 
 Forecast = 3.7801  Date_of_death = Mar2011 
 Forecast = 2.9273  Date_of_death = Mar2011 
 Forecast = 2.9273  Date_of_death = Feb2011 
 Forecast = 4.5933  Date_of_death = Feb2011 
 Forecast = 4.5933  Date_of_death = Jan2011 
 Forecast = 4.1996  Date_of_death = Jan2011 
 Forecast = 4.1996  Date_of_death = Dec2010 
 Forecast = 3.2897  Date_of_death = Dec2010 
 Forecast = 3.2897  Date_of_death = Nov2010 
 Forecast = 3.1945  Date_of_death = Nov2010 
 Forecast = 3.1945  Date_of_death = Oct2010 
 Forecast = 2.6738  Date_of_death = Oct2010 
 Forecast = 2.6738  Date_of_death = Sep2010 
 Forecast = 4.7208  Date_of_death = Sep2010 
 Forecast = 4.7208  Date_of_death = Aug2010 
 Forecast = 3.6674  Date_of_death = Aug2010 
 Forecast = 3.6674  Date_of_death = Jul2010 
 Forecast = 4.3931  Date_of_death = Jul2010 
 Forecast = 4.3931  Date_of_death = Jun2010 
 Forecast = 3.7749  Date_of_death = Jun2010 
 Forecast = 3.7749  Date_of_death = May2010 
 Forecast = 3.9597  Date_of_death = May2010 
 Forecast = 3.9597  Date_of_death = Apr2010 
 Forecast = 3.9956  Date_of_death = Apr2010 
 Forecast = 3.9956  Date_of_death = Mar2010 
 Forecast = 2.7600  Date_of_death = Mar2010 
 Forecast = 2.7600  Date_of_death = Feb2010 
 Forecast = 4.6735  Date_of_death = Feb2010 
 Forecast = 4.6735  Date_of_death = Jan2010 
 Forecast = 3.5658  Date_of_death = Jan2010 
 Forecast = 3.5658  Date_of_death = Dec2009 
 Forecast = 3.5461  Date_of_death = Dec2009 
 Forecast = 3.5461  Date_of_death = Nov2009 
 Forecast = 3.2178  Date_of_death = Nov2009 
 Forecast = 3.2178  Date_of_death = Oct2009 
 Forecast = 2.7876  Date_of_death = Oct2009 
 Forecast = 2.7876  Date_of_death = Sep2009 
 Forecast = 4.5438  Date_of_death = Sep2009 
 Forecast = 4.5438  Date_of_death = Aug2009 
 Forecast = 3.2794  Date_of_death = Aug2009 
 Forecast = 3.2794  Date_of_death = Jul2009 
 Forecast = 4.2849  Date_of_death = Jul2009 
 Forecast = 4.2849  Date_of_death = Jun2009 
 Forecast = 4.0010  Date_of_death = Jun2009 
 Forecast = 4.0010  Date_of_death = May2009 
 Forecast = 3.8897  Date_of_death = May2009 
 Forecast = 3.8897  Date_of_death = Apr2009 
 Forecast = 3.8895  Date_of_death = Apr2009 
 Forecast = 3.8895  Date_of_death = Mar2009 
 Forecast = 2.5339  Date_of_death = Mar2009 
 Forecast = 2.5339  Date_of_death = Feb2009 
 Forecast = 4.6570  Date_of_death = Feb2009 
 Forecast = 4.6570  Date_of_death = Jan2009 
 Forecast = 3.7989  Date_of_death = Jan2009 
 Forecast = 3.7989  Date_of_death = Dec2008 
 Forecast = 3.7789  Date_of_death = Dec2008 
 Forecast = 3.7789  Date_of_death = Nov2008 
 Forecast = 3.1433  Date_of_death = Nov2008 
 Forecast = 3.1433  Date_of_death = Oct2008 
 Forecast = 2.6246  Date_of_death = Oct2008 
 Forecast = 2.6246  Date_of_death = Sep2008 
 Forecast = 3.7822  Date_of_death = Sep2008 
 Forecast = 3.7822  Date_of_death = Aug2008 
 Forecast = 3.1449  Date_of_death = Aug2008 
 Forecast = 3.1449  Date_of_death = Jul2008 
 Forecast = 4.2745  Date_of_death = Jul2008 
 Forecast = 4.2745  Date_of_death = Jun2008 
 Forecast = 4.0409  Date_of_death = Jun2008 
 Forecast = 4.0409  Date_of_death = May2008 
 Forecast = 3.6459  Date_of_death = May2008 
 Forecast = 3.6459  Date_of_death = Apr2008 
 Forecast = 3.7678  Date_of_death = Apr2008 
 Forecast = 3.7678  Date_of_death = Mar2008 
 Forecast = 1.8134  Date_of_death = Mar2008 
 Forecast = 1.8134  Date_of_death = Feb2008 
 Forecast = 4.1437  Date_of_death = Feb2008 
 Forecast = 4.1437  Date_of_death = Jan2008 
 Forecast = 3.7952  Date_of_death = Jan2008 
 Forecast = 3.7952  Date_of_death = Dec2007 
 Forecast = 3.9621  Date_of_death = Dec2007 
 Forecast = 3.9621  Date_of_death = Nov2007 
 Forecast = 3.1203  Date_of_death = Nov2007 
 Forecast = 3.1203  Date_of_death = Oct2007 
 Forecast = 2.7157  Date_of_death = Oct2007 
 Forecast = 2.7157  Date_of_death = Sep2007 
 Forecast = 4.0303  Date_of_death = Sep2007 
 Forecast = 4.0303  Date_of_death = Aug2007 
 Forecast = 3.0171  Date_of_death = Aug2007 
 Forecast = 3.0171  Date_of_death = Jul2007 
 Forecast = 3.9889  Date_of_death = Jul2007 
 Forecast = 3.9889  Date_of_death = Jun2007 
 Forecast = 4.3074  Date_of_death = Jun2007 
 Forecast = 4.3074  Date_of_death = May2007 
 Forecast = 3.1096  Date_of_death = May2007 
 Forecast = 3.1096  Date_of_death = Apr2007 
 Forecast = 3.3572  Date_of_death = Apr2007 
 Forecast = 3.3572  Date_of_death = Mar2007 
 Forecast = 1.7817  Date_of_death = Mar2007 
 Forecast = 1.7817  Date_of_death = Feb2007 
 Forecast = 4.3718  Date_of_death = Feb2007 
 Forecast = 4.3718  Date_of_death = Jan2007 
 Forecast = 3.9563  Date_of_death = Jan2007 
 Forecast = 3.9563  Date_of_death = Dec2006 
 Forecast = 3.9548  Date_of_death = Dec2006 
 Forecast = 3.9548  Date_of_death = Nov2006 
 Forecast = 3.4862  Date_of_death = Nov2006 
 Forecast = 3.4862  Date_of_death = Oct2006 
 Forecast = 2.1026  Date_of_death = Oct2006 
 Forecast = 2.1026  Date_of_death = Sep2006 
 Forecast = 3.9342  Date_of_death = Sep2006 
 Forecast = 3.9342  Date_of_death = Aug2006 
 Forecast = 2.9324  Date_of_death = Aug2006 
 Forecast = 2.9324  Date_of_death = Jul2006 
 Forecast = 4.2945  Date_of_death = Jul2006 
 Forecast = 4.2945  Date_of_death = Jun2006 
 Forecast = 3.7519  Date_of_death = Jun2006 
 Forecast = 3.7519  Date_of_death = May2006 
 Forecast = 3.0851  Date_of_death = May2006 
 Forecast = 3.0851  Date_of_death = Apr2006 
 Forecast = 3.6050  Date_of_death = Apr2006 
 Forecast = 3.6050  Date_of_death = Mar2006 
 Forecast = 1.9500  Date_of_death = Mar2006 
 Forecast = 1.9500  Date_of_death = Feb2006 
 Forecast = 3.9088  Date_of_death = Feb2006 
 Forecast = 3.9088  Date_of_death = Jan2006 
 Forecast = 4.4531  Date_of_death = Jan2006 
 Forecast = 4.4531  Date_of_death = Dec2005 
 Forecast = 4.3768  Date_of_death = Dec2005 
 Forecast = 4.3768  Date_of_death = Nov2005 
 Forecast = 4.0114  Date_of_death = Nov2005 
 Forecast = 4.0114  Date_of_death = Oct2005 
 Forecast = 2.2147  Date_of_death = Oct2005 
 Forecast = 2.2147  Date_of_death = Sep2005 
 Forecast = 3.8018  Date_of_death = Sep2005 
 Forecast = 3.8018  Date_of_death = Aug2005 
 Forecast = 3.0023  Date_of_death = Aug2005 
 Forecast = 3.0023  Date_of_death = Jul2005 
 Forecast = 3.7655  Date_of_death = Jul2005 
 Forecast = 3.7655  Date_of_death = Jun2005 
 Forecast = 3.9766  Date_of_death = Jun2005 
 Forecast = 3.9766  Date_of_death = May2005 
 Forecast = 2.9645  Date_of_death = May2005 
 Forecast = 2.9645  Date_of_death = Apr2005 
 Forecast = 4.2015  Date_of_death = Apr2005 
 Forecast = 4.2015  Date_of_death = Mar2005 
 Forecast = 1.7879  Date_of_death = Mar2005 
 Forecast = 1.7879  Date_of_death = Feb2005 
 Forecast = 4.4164  Date_of_death = Feb2005 
 Forecast = 4.4164  Date_of_death = Jan2005 
 Forecast = 4.4104  Date_of_death = Jan2005 
 Forecast = 4.4104  Date_of_death = Dec2004 
 Forecast = 4.5083  Date_of_death = Dec2004 
 Forecast = 4.5083  Date_of_death = Nov2004 
 Forecast = 4.2719  Date_of_death = Nov2004 
 Forecast = 4.2719  Date_of_death = Oct2004 
 Forecast = 2.2759  Date_of_death = Oct2004 
 Forecast = 2.2759  Date_of_death = Sep2004 
 Forecast = 4.3001  Date_of_death = Sep2004 
 Forecast = 4.3001  Date_of_death = Aug2004 
 Forecast = 3.0526  Date_of_death = Aug2004 
 Forecast = 3.0526  Date_of_death = Jul2004 
 Forecast = 3.0152  Date_of_death = Jul2004 
 Forecast = 3.0152  Date_of_death = Jun2004 
 Forecast = 4.2788  Date_of_death = Jun2004 
 Forecast = 4.2788  Date_of_death = May2004 
 Forecast = 3.0305  Date_of_death = May2004 
 Forecast = 3.0305  Date_of_death = Apr2004 
 Forecast = 4.5472  Date_of_death = Apr2004 
 Forecast = 4.5472  Date_of_death = Mar2004 
 Forecast = 1.7969  Date_of_death = Mar2004 
 Forecast = 1.7969  Date_of_death = Feb2004 
 Forecast = 4.5542  Date_of_death = Feb2004 
 Forecast = 4.5542  Date_of_death = Jan2004 
 Forecast = 3.7735  Date_of_death = Jan2004 
 Forecast = 3.7735  Date_of_death = Dec2003 
 Forecast = 5.7218  Date_of_death = Dec2003 
 Forecast = 5.7218  Date_of_death = Nov2003 
 Forecast = 4.3942  Date_of_death = Nov2003 
 Forecast = 4.3942  Date_of_death = Oct2003 
 Forecast = 2.0560  Date_of_death = Oct2003 
 Forecast = 2.0560  Date_of_death = Sep2003 
 Forecast = 4.3949  Date_of_death = Sep2003 
 Forecast = 4.3949  Date_of_death = Aug2003 
 Forecast = 2.3764  Date_of_death = Aug2003 
 Forecast = 2.3764  Date_of_death = Jul2003 
 Forecast = 2.3570  Date_of_death = Jul2003 
 Forecast = 2.3570  Date_of_death = Jun2003 
 Forecast = 5.0492  Date_of_death = Jun2003 
 Forecast = 5.0492  Date_of_death = May2003 
 Forecast = 3.0516  Date_of_death = May2003 
 Forecast = 3.0516  Date_of_death = Apr2003 
 Forecast = 3.6934  Date_of_death = Apr2003 
 Forecast = 3.6934  Date_of_death = Mar2003 
 Forecast = 1.3477  Date_of_death = Mar2003 
 Forecast = 1.3477  Date_of_death = Feb2003 
 Forecast = 4.6871  Date_of_death = Feb2003 
 Forecast = 4.6871  Date_of_death = Jan2003 
 Forecast = 2.3081  Date_of_death = Jan2003 
 Forecast = 2.3081  Date_of_death = Dec2002 
 Forecast = 5.9833  Date_of_death = Dec2002 
 Forecast = 5.9833  Date_of_death = Nov2002 
 Forecast = 2.9583  Date_of_death = Nov2002 
 Forecast = 2.9583  Date_of_death = Oct2002 
 Forecast = 1.9558  Date_of_death = Oct2002 
 Forecast = 1.9558  Date_of_death = Sep2002 
 Forecast = 4.9651  Date_of_death = Sep2002 
 Forecast = 4.9651  Date_of_death = Aug2002 
 Forecast = 2.4661  Date_of_death = Aug2002 
 Forecast = 2.4661  Date_of_death = Jul2002 
 Forecast = 2.4673  Date_of_death = Jul2002 
 Forecast = 2.4673  Date_of_death = Jun2002 
 Forecast = 5.9836  Date_of_death = Jun2002 
 Forecast = 5.9836  Date_of_death = May2002 
 Forecast = 2.9829  Date_of_death = May2002 
 Forecast = 2.9829  Date_of_death = Apr2002 
 Forecast = 3.4792  Date_of_death = Apr2002 
 Forecast = 3.4792  Date_of_death = Mar2002 
 Forecast = 1.4813  Date_of_death = Mar2002 
 Forecast = 1.4813  Date_of_death = Feb2002 
 Forecast = 5.4957  Date_of_death = Feb2002 
 Forecast = 5.4957  Date_of_death = Jan2002 
 Forecast = 0.9716  Date_of_death = Jan2002 
 Forecast = 0.9716  Date_of_death = Dec2001 
 Forecast = 9.9956  Date_of_death = Dec2001 
 Forecast = 9.9956  Date_of_death = Nov2001 
 Forecast = 2.9959  Date_of_death = Nov2001 
 Forecast = 2.9959  Date_of_death = Oct2001 
 Forecast = 1.9962  Date_of_death = Oct2001 
 Forecast = 1.9962  Date_of_death = Sep2001 
 Forecast = 8.0184  Date_of_death = Sep2001 
 Forecast = 8.0184  Date_of_death = Aug2001 
 Forecast = 3.0242  Date_of_death = Aug2001 
 Forecast = 3.0242  Date_of_death = Jul2001 
 Forecast = 3.0304  Date_of_death = Jul2001 
 Forecast = 3.0304  Date_of_death = Jun2001 
 Forecast = 2.0040  Date_of_death = Jun2001 
 Forecast = 2.0040  Date_of_death = May2001 
 Forecast = 1.9970  Date_of_death = May2001 
 Forecast = 1.9970  Date_of_death = Apr2001 
 Forecast = 4.0003  Date_of_death = Apr2001 
 Forecast = 4.0003  Date_of_death = Mar2001 
 Forecast = 0.9966  Date_of_death = Mar2001 
 Forecast = 0.9966  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Oct2019 
 incidents = 1.0000  Date_of_death = Sep2019 
 incidents = 4.0000  Date_of_death = Aug2019 
 incidents = 3.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 2.0000  Date_of_death = May2019 
 incidents = 6.0000  Date_of_death = Apr2019 
 incidents = 4.0000  Date_of_death = Mar2019 
 incidents = 2.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 2.0000  Date_of_death = Dec2018 
 incidents = 3.0000  Date_of_death = Nov2018 
 incidents = 1.0000  Date_of_death = Oct2018 
 incidents = 1.0000  Date_of_death = Sep2018 
 incidents = 2.0000  Date_of_death = Aug2018 
 incidents = 4.0000  Date_of_death = Jul2018 
 incidents = 6.0000  Date_of_death = Jun2018 
 incidents = 6.0000  Date_of_death = May2018 
 incidents = 2.0000  Date_of_death = Apr2018 
 incidents = 3.0000  Date_of_death = Mar2018 
 incidents = 3.0000  Date_of_death = Feb2018 
 incidents = 4.0000  Date_of_death = Jan2018 
 incidents = 4.0000  Date_of_death = Dec2017 
 incidents = 4.0000  Date_of_death = Nov2017 
 incidents = 4.0000  Date_of_death = Oct2017 
 incidents = 3.0000  Date_of_death = Sep2017 
 incidents = 3.0000  Date_of_death = Aug2017 
 incidents = 6.0000  Date_of_death = Jul2017 
 incidents = 4.0000  Date_of_death = Jun2017 
 incidents = 7.0000  Date_of_death = May2017 
 incidents = 4.0000  Date_of_death = Apr2017 
 incidents = 2.0000  Date_of_death = Mar2017 
 incidents = 4.0000  Date_of_death = Feb2017 
 incidents = 3.0000  Date_of_death = Jan2017 
 incidents = 7.0000  Date_of_death = Dec2016 
 incidents = 5.0000  Date_of_death = Nov2016 
 incidents = 4.0000  Date_of_death = Oct2016 
 incidents = 3.0000  Date_of_death = Sep2016 
 incidents = 3.0000  Date_of_death = Aug2016 
 incidents = 5.0000  Date_of_death = Jul2016 
 incidents = 4.0000  Date_of_death = Jun2016 
 incidents = 4.0000  Date_of_death = May2016 
 incidents = 2.0000  Date_of_death = Apr2016 
 incidents = 2.0000  Date_of_death = Mar2016 
 incidents = 5.0000  Date_of_death = Feb2016 
 incidents = 6.0000  Date_of_death = Jan2016 
 incidents = 5.0000  Date_of_death = Dec2015 
 incidents = 6.0000  Date_of_death = Nov2015 
 incidents = 2.0000  Date_of_death = Oct2015 
 incidents = 3.0000  Date_of_death = Sep2015 
 incidents = 5.0000  Date_of_death = Aug2015 
 incidents = 3.0000  Date_of_death = Jul2015 
 incidents = 7.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 3.0000  Date_of_death = Apr2015 
 incidents = 4.0000  Date_of_death = Mar2015 
 incidents = 7.0000  Date_of_death = Feb2015 
 incidents = 10.0000  Date_of_death = Jan2015 
 incidents = 2.0000  Date_of_death = Dec2014 
 incidents = 3.0000  Date_of_death = Nov2014 
 incidents = 7.0000  Date_of_death = Oct2014 
 incidents = 2.0000  Date_of_death = Sep2014 
 incidents = 1.0000  Date_of_death = Aug2014 
 incidents = 7.0000  Date_of_death = Jul2014 
 incidents = 1.0000  Date_of_death = Jun2014 
 incidents = 3.0000  Date_of_death = May2014 
 incidents = 3.0000  Date_of_death = Apr2014 
 incidents = 7.0000  Date_of_death = Mar2014 
 incidents = 3.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 2.0000  Date_of_death = Dec2013 
 incidents = 2.0000  Date_of_death = Nov2013 
 incidents = 10.0000  Date_of_death = Oct2013 
 incidents = 3.0000  Date_of_death = Sep2013 
 incidents = 5.0000  Date_of_death = Aug2013 
 incidents = 5.0000  Date_of_death = Jul2013 
 incidents = 4.0000  Date_of_death = Jun2013 
 incidents = 6.0000  Date_of_death = May2013 
 incidents = 8.0000  Date_of_death = Apr2013 
 incidents = 5.0000  Date_of_death = Mar2013 
 incidents = 4.0000  Date_of_death = Feb2013 
 incidents = 4.0000  Date_of_death = Jan2013 
 incidents = 10.0000  Date_of_death = Dec2012 
 incidents = 4.0000  Date_of_death = Nov2012 
 incidents = 3.0000  Date_of_death = Oct2012 
 incidents = 3.0000  Date_of_death = Sep2012 
 incidents = 3.0000  Date_of_death = Aug2012 
 incidents = 5.0000  Date_of_death = Jul2012 
 incidents = 10.0000  Date_of_death = Jun2012 
 incidents = 5.0000  Date_of_death = May2012 
 incidents = 2.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 6.0000  Date_of_death = Feb2012 
 incidents = 4.0000  Date_of_death = Jan2012 
 incidents = 6.0000  Date_of_death = Dec2011 
 incidents = 5.0000  Date_of_death = Nov2011 
 incidents = 2.0000  Date_of_death = Oct2011 
 incidents = 7.0000  Date_of_death = Sep2011 
 incidents = 6.0000  Date_of_death = Aug2011 
 incidents = 1.0000  Date_of_death = Jul2011 
 incidents = 6.0000  Date_of_death = Jun2011 
 incidents = 3.0000  Date_of_death = May2011 
 incidents = 4.0000  Date_of_death = Apr2011 
 incidents = 5.0000  Date_of_death = Mar2011 
 incidents = 5.0000  Date_of_death = Feb2011 
 incidents = 3.0000  Date_of_death = Jan2011 
 incidents = 6.0000  Date_of_death = Dec2010 
 incidents = 4.0000  Date_of_death = Nov2010 
 incidents = 3.0000  Date_of_death = Oct2010 
 incidents = 4.0000  Date_of_death = Sep2010 
 incidents = 2.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 3.0000  Date_of_death = Jun2010 
 incidents = 5.0000  Date_of_death = May2010 
 incidents = 5.0000  Date_of_death = Apr2010 
 incidents = 2.0000  Date_of_death = Mar2010 
 incidents = 5.0000  Date_of_death = Feb2010 
 incidents = 4.0000  Date_of_death = Jan2010 
 incidents = 10.0000  Date_of_death = Dec2009 
 incidents = 1.0000  Date_of_death = Nov2009 
 incidents = 3.0000  Date_of_death = Oct2009 
 incidents = 2.0000  Date_of_death = Sep2009 
 incidents = 6.0000  Date_of_death = Aug2009 
 incidents = 6.0000  Date_of_death = Jul2009 
 incidents = 4.0000  Date_of_death = Jun2009 
 incidents = 1.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 4.0000  Date_of_death = Mar2009 
 incidents = 4.0000  Date_of_death = Feb2009 
 incidents = 4.0000  Date_of_death = Jan2009 
 incidents = 2.0000  Date_of_death = Dec2008 
 incidents = 2.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 4.0000  Date_of_death = Sep2008 
 incidents = 10.0000  Date_of_death = Aug2008 
 incidents = 4.0000  Date_of_death = Jul2008 
 incidents = 4.0000  Date_of_death = Jun2008 
 incidents = 3.0000  Date_of_death = May2008 
 incidents = 5.0000  Date_of_death = Apr2008 
 incidents = 4.0000  Date_of_death = Mar2008 
 incidents = 7.0000  Date_of_death = Feb2008 
 incidents = 7.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 1.0000  Date_of_death = Nov2007 
 incidents = 2.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 2.0000  Date_of_death = Aug2007 
 incidents = 4.0000  Date_of_death = Jul2007 
 incidents = 6.0000  Date_of_death = Jun2007 
 incidents = 2.0000  Date_of_death = May2007 
 incidents = 7.0000  Date_of_death = Apr2007 
 incidents = 6.0000  Date_of_death = Mar2007 
 incidents = 2.0000  Date_of_death = Feb2007 
 incidents = 3.0000  Date_of_death = Jan2007 
 incidents = 3.0000  Date_of_death = Dec2006 
 incidents = 4.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 6.0000  Date_of_death = Sep2006 
 incidents = 4.0000  Date_of_death = Aug2006 
 incidents = 3.0000  Date_of_death = Jul2006 
 incidents = 2.0000  Date_of_death = Jun2006 
 incidents = 7.0000  Date_of_death = May2006 
 incidents = 3.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 7.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 2.0000  Date_of_death = Nov2005 
 incidents = 1.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 5.0000  Date_of_death = Aug2005 
 incidents = 3.0000  Date_of_death = Jul2005 
 incidents = 7.0000  Date_of_death = Jun2005 
 incidents = 3.0000  Date_of_death = May2005 
 incidents = 4.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 3.0000  Date_of_death = Feb2005 
 incidents = 2.0000  Date_of_death = Jan2005 
 incidents = 5.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 3.0000  Date_of_death = Oct2004 
 incidents = 2.0000  Date_of_death = Sep2004 
 incidents = 2.0000  Date_of_death = Aug2004 
 incidents = 3.0000  Date_of_death = Jul2004 
 incidents = 7.0000  Date_of_death = Jun2004 
 incidents = 3.0000  Date_of_death = May2004 
 incidents = 3.0000  Date_of_death = Apr2004 
 incidents = 3.0000  Date_of_death = Mar2004 
 incidents = 2.0000  Date_of_death = Feb2004 
 incidents = 4.0000  Date_of_death = Jan2004 
 incidents = 7.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 4.0000  Date_of_death = Oct2003 
 incidents = 3.0000  Date_of_death = Sep2003 
 incidents = 4.0000  Date_of_death = Aug2003 
 incidents = 5.0000  Date_of_death = Jul2003 
 incidents = 5.0000  Date_of_death = Jun2003 
 incidents = 2.0000  Date_of_death = May2003 
 incidents = 3.0000  Date_of_death = Apr2003 
 incidents = 7.0000  Date_of_death = Mar2003 
 incidents = 3.0000  Date_of_death = Feb2003 
 incidents = 4.0000  Date_of_death = Jan2003 
 incidents = 8.0000  Date_of_death = Dec2002 
 incidents = 5.0000  Date_of_death = Nov2002 
 incidents = 7.0000  Date_of_death = Oct2002 
 incidents = 2.0000  Date_of_death = Sep2002 
 incidents = 3.0000  Date_of_death = Aug2002 
 incidents = 2.0000  Date_of_death = Jul2002 
 incidents = 2.0000  Date_of_death = Jun2002 
 incidents = 3.0000  Date_of_death = May2002 
 incidents = 3.0000  Date_of_death = Apr2002 
 incidents = 4.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 3.0000  Date_of_death = Jan2002 
 incidents = 5.0000  Date_of_death = Dec2001 
 incidents = 2.0000  Date_of_death = Nov2001 
 incidents = 3.0000  Date_of_death = Oct2001 
 incidents = 2.0000  Date_of_death = Sep2001 
 incidents = 2.0000  Date_of_death = Aug2001 
 incidents = 2.0000  Date_of_death = Jul2001 
 incidents = 2.0000  Date_of_death = Jun2001 
 incidents = 10.0000  Date_of_death = May2001 
 incidents = 4.0000  Date_of_death = Apr2001 
 incidents = 3.0000  Date_of_death = Mar2001 
 incidents = 2.0000  Date_of_death = Feb2001 
 incidents = 5.0000  Date_of_death = Jan2001 
 incidents = 1.0000  Date_of_death = Oct2020 
 Upper 95% = 6.8782 
 Lower 95% = -1.6314  Date_of_death = Sep2020 
 Upper 95% = 8.0778 
 Lower 95% = -0.4303  Date_of_death = Sep2020 
 Upper 95% = 8.0778 
 Lower 95% = -0.4303  Date_of_death = Aug2020 
 Upper 95% = 7.8274 
 Lower 95% = -0.6791  Date_of_death = Aug2020 
 Upper 95% = 7.8274 
 Lower 95% = -0.6791  Date_of_death = Jul2020 
 Upper 95% = 8.4769 
 Lower 95% = -0.0280  Date_of_death = Jul2020 
 Upper 95% = 8.4769 
 Lower 95% = -0.0280  Date_of_death = Jun2020 
 Upper 95% = 7.9764 
 Lower 95% = -0.5269  Date_of_death = Jun2020 
 Upper 95% = 7.9764 
 Lower 95% = -0.5269  Date_of_death = May2020 
 Upper 95% = 7.9260 
 Lower 95% = -0.5758  Date_of_death = May2020 
 Upper 95% = 7.9260 
 Lower 95% = -0.5758  Date_of_death = Apr2020 
 Upper 95% = 7.7255 
 Lower 95% = -0.7746  Date_of_death = Apr2020 
 Upper 95% = 7.7255 
 Lower 95% = -0.7746  Date_of_death = Mar2020 
 Upper 95% = 7.5750 
 Lower 95% = -0.9235  Date_of_death = Mar2020 
 Upper 95% = 7.5750 
 Lower 95% = -0.9235  Date_of_death = Feb2020 
 Upper 95% = 8.3245 
 Lower 95% = -0.1723  Date_of_death = Feb2020 
 Upper 95% = 8.3245 
 Lower 95% = -0.1723  Date_of_death = Jan2020 
 Upper 95% = 8.5240 
 Lower 95% = 0.0288  Date_of_death = Jan2020 
 Upper 95% = 8.5240 
 Lower 95% = 0.0288  Date_of_death = Dec2019 
 Upper 95% = 7.6436 
 Lower 95% = -0.8588  Date_of_death = Dec2019 
 Upper 95% = 7.6436 
 Lower 95% = -0.8588  Date_of_death = Nov2019 
 Upper 95% = 7.5905 
 Lower 95% = -0.9102
Forecast Plot

County=Maricopa

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.21097 1.99730

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 6.00000 3.21097 1.99730

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 3.17790
Level Error Variance 1.19171
Season Error Variance 4.31048

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -493.3
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 992.51
BIC (smaller is better) 1002.8
AICC (smaller is better) 992.62
HQIC (smaller is better) 996.65
CAIC (smaller is better) 1005.8
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.91751 0.36935 10.61 <.0001
Level Error Variance 9.00954E-12 1.19382E-7 0.00 0.9999
Season Error Variance 4.104797E-8 0.00002473 0.00 0.9987

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 4.84952
Root Mean Squared Error 2.20216
Mean Absolute Percentage Error 96.29301
Maximum Percent Error 83.33333
R-Square -0.25483
Adjusted R-Square -0.26613
Random Walk R-Square 0.31112
Amemiya's Adjusted R-Square -0.28874

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 2.50 0.1137
Level 1 624.04 <.0001
Season 11 15.32 0.1684

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.212499999 0.1285991

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 4.104797E-8

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 7.5781 
 Percent = 0.0126  Prediction Error = 7.5 
 Percent = 0.0156  Prediction Error = 7.5 
 Percent = 0.0156  Prediction Error = 7.4219 
 Percent = 0.0193  Prediction Error = 7.4219 
 Percent = 0.0193  Prediction Error = 7.3437 
 Percent = 0.0238  Prediction Error = 7.3437 
 Percent = 0.0238  Prediction Error = 7.2656 
 Percent = 0.0291  Prediction Error = 7.2656 
 Percent = 0.0291  Prediction Error = 7.1875 
 Percent = 0.0356  Prediction Error = 7.1875 
 Percent = 0.0356  Prediction Error = 7.1094 
 Percent = 0.0432  Prediction Error = 7.1094 
 Percent = 0.0432  Prediction Error = 7.0312 
 Percent = 0.0523  Prediction Error = 7.0312 
 Percent = 0.0523  Prediction Error = 6.9531 
 Percent = 0.063  Prediction Error = 6.9531 
 Percent = 0.063  Prediction Error = 6.875 
 Percent = 0.0756  Prediction Error = 6.875 
 Percent = 0.0756  Prediction Error = 6.7969 
 Percent = 0.0904  Prediction Error = 6.7969 
 Percent = 0.0904  Prediction Error = 6.7187 
 Percent = 0.1078  Prediction Error = 6.7187 
 Percent = 0.1078  Prediction Error = 6.6406 
 Percent = 0.1279  Prediction Error = 6.6406 
 Percent = 0.1279  Prediction Error = 6.5625 
 Percent = 0.1513  Prediction Error = 6.5625 
 Percent = 0.1513  Prediction Error = 6.4844 
 Percent = 0.1783  Prediction Error = 6.4844 
 Percent = 0.1783  Prediction Error = 6.4062 
 Percent = 0.2094  Prediction Error = 6.4062 
 Percent = 0.2094  Prediction Error = 6.3281 
 Percent = 0.245  Prediction Error = 6.3281 
 Percent = 0.245  Prediction Error = 6.25 
 Percent = 0.2857  Prediction Error = 6.25 
 Percent = 0.2857  Prediction Error = 6.1719 
 Percent = 0.3321  Prediction Error = 6.1719 
 Percent = 0.3321  Prediction Error = 6.0937 
 Percent = 0.3847  Prediction Error = 6.0937 
 Percent = 0.3847  Prediction Error = 6.0156 
 Percent = 0.4442  Prediction Error = 6.0156 
 Percent = 0.4442  Prediction Error = 5.9375 
 Percent = 0.5111  Prediction Error = 5.9375 
 Percent = 0.5111  Prediction Error = 5.8594 
 Percent = 0.5863  Prediction Error = 5.8594 
 Percent = 0.5863  Prediction Error = 5.7812 
 Percent = 0.6704  Prediction Error = 5.7812 
 Percent = 0.6704  Prediction Error = 5.7031 
 Percent = 0.7641  Prediction Error = 5.7031 
 Percent = 0.7641  Prediction Error = 5.625 
 Percent = 0.8681  Prediction Error = 5.625 
 Percent = 0.8681  Prediction Error = 5.5469 
 Percent = 0.9831  Prediction Error = 5.5469 
 Percent = 0.9831  Prediction Error = 5.4687 
 Percent = 1.1099  Prediction Error = 5.4687 
 Percent = 1.1099  Prediction Error = 5.3906 
 Percent = 1.249  Prediction Error = 5.3906 
 Percent = 1.249  Prediction Error = 5.3125 
 Percent = 1.4013  Prediction Error = 5.3125 
 Percent = 1.4013  Prediction Error = 5.2344 
 Percent = 1.5671  Prediction Error = 5.2344 
 Percent = 1.5671  Prediction Error = 5.1562 
 Percent = 1.7471  Prediction Error = 5.1562 
 Percent = 1.7471  Prediction Error = 5.0781 
 Percent = 1.9418  Prediction Error = 5.0781 
 Percent = 1.9418  Prediction Error = 5 
 Percent = 2.1514  Prediction Error = 5 
 Percent = 2.1514  Prediction Error = 4.9219 
 Percent = 2.3762  Prediction Error = 4.9219 
 Percent = 2.3762  Prediction Error = 4.8437 
 Percent = 2.6165  Prediction Error = 4.8437 
 Percent = 2.6165  Prediction Error = 4.7656 
 Percent = 2.8721  Prediction Error = 4.7656 
 Percent = 2.8721  Prediction Error = 4.6875 
 Percent = 3.1431  Prediction Error = 4.6875 
 Percent = 3.1431  Prediction Error = 4.6094 
 Percent = 3.4292  Prediction Error = 4.6094 
 Percent = 3.4292  Prediction Error = 4.5312 
 Percent = 3.73  Prediction Error = 4.5312 
 Percent = 3.73  Prediction Error = 4.4531 
 Percent = 4.0449  Prediction Error = 4.4531 
 Percent = 4.0449  Prediction Error = 4.375 
 Percent = 4.3732  Prediction Error = 4.375 
 Percent = 4.3732  Prediction Error = 4.2969 
 Percent = 4.7142  Prediction Error = 4.2969 
 Percent = 4.7142  Prediction Error = 4.2187 
 Percent = 5.0667  Prediction Error = 4.2187 
 Percent = 5.0667  Prediction Error = 3.5156 
 Percent = 8.5301  Prediction Error = 3.5156 
 Percent = 8.5301  Prediction Error = 3.3594 
 Percent = 9.2944  Prediction Error = 3.3594 
 Percent = 9.2944  Prediction Error = 3.2031 
 Percent = 10.024  Prediction Error = 3.2031 
 Percent = 10.024  Prediction Error = 3.125 
 Percent = 10.371  Prediction Error = 3.125 
 Percent = 10.371  Prediction Error = 3.0469 
 Percent = 10.703  Prediction Error = 3.0469 
 Percent = 10.703  Prediction Error = 2.9687 
 Percent = 11.02  Prediction Error = 2.9687 
 Percent = 11.02  Prediction Error = 2.8906 
 Percent = 11.32  Prediction Error = 2.8906 
 Percent = 11.32  Prediction Error = 2.8125 
 Percent = 11.601  Prediction Error = 2.8125 
 Percent = 11.601  Prediction Error = 2.7344 
 Percent = 11.863  Prediction Error = 2.7344 
 Percent = 11.863  Prediction Error = 2.6562 
 Percent = 12.105  Prediction Error = 2.6562 
 Percent = 12.105  Prediction Error = 2.5781 
 Percent = 12.327  Prediction Error = 2.5781 
 Percent = 12.327  Prediction Error = 2.5 
 Percent = 12.527  Prediction Error = 2.5 
 Percent = 12.527  Prediction Error = 2.4219 
 Percent = 12.707  Prediction Error = 2.4219 
 Percent = 12.707  Prediction Error = 2.3437 
 Percent = 12.866  Prediction Error = 2.3437 
 Percent = 12.866  Prediction Error = 2.2656 
 Percent = 13.005  Prediction Error = 2.2656 
 Percent = 13.005  Prediction Error = 2.1875 
 Percent = 13.126  Prediction Error = 2.1875 
 Percent = 13.126  Prediction Error = 2.1094 
 Percent = 13.229  Prediction Error = 2.1094 
 Percent = 13.229  Prediction Error = 2.0312 
 Percent = 13.315  Prediction Error = 2.0312 
 Percent = 13.315  Prediction Error = 1.9531 
 Percent = 13.388  Prediction Error = 1.9531 
 Percent = 13.388  Prediction Error = 1.875 
 Percent = 13.447  Prediction Error = 1.875 
 Percent = 13.447  Prediction Error = 1.7969 
 Percent = 13.497  Prediction Error = 1.7969 
 Percent = 13.497  Prediction Error = 1.7187 
 Percent = 13.538  Prediction Error = 1.7187 
 Percent = 13.538  Prediction Error = 1.6406 
 Percent = 13.572  Prediction Error = 1.6406 
 Percent = 13.572  Prediction Error = 1.4062 
 Percent = 13.664  Prediction Error = 1.4062 
 Percent = 13.664  Prediction Error = 1.3281 
 Percent = 13.698  Prediction Error = 1.3281 
 Percent = 13.698  Prediction Error = 1.25 
 Percent = 13.736  Prediction Error = 1.25 
 Percent = 13.736  Prediction Error = 1.1719 
 Percent = 13.782  Prediction Error = 1.1719 
 Percent = 13.782  Prediction Error = 1.0937 
 Percent = 13.836  Prediction Error = 1.0937 
 Percent = 13.836  Prediction Error = 1.0156 
 Percent = 13.9  Prediction Error = 1.0156 
 Percent = 13.9  Prediction Error = 0.9375 
 Percent = 13.975  Prediction Error = 0.9375 
 Percent = 13.975  Prediction Error = 0.8594 
 Percent = 14.062  Prediction Error = 0.8594 
 Percent = 14.062  Prediction Error = 0.7812 
 Percent = 14.162  Prediction Error = 0.7812 
 Percent = 14.162  Prediction Error = 0.7031 
 Percent = 14.276  Prediction Error = 0.7031 
 Percent = 14.276  Prediction Error = 0.625 
 Percent = 14.403  Prediction Error = 0.625 
 Percent = 14.403  Prediction Error = 0.5469 
 Percent = 14.544  Prediction Error = 0.5469 
 Percent = 14.544  Prediction Error = 0.4687 
 Percent = 14.698  Prediction Error = 0.4687 
 Percent = 14.698  Prediction Error = 0.3906 
 Percent = 14.866  Prediction Error = 0.3906 
 Percent = 14.866  Prediction Error = 0.3125 
 Percent = 15.046  Prediction Error = 0.3125 
 Percent = 15.046  Prediction Error = 0.2344 
 Percent = 15.239  Prediction Error = 0.2344 
 Percent = 15.239  Prediction Error = 0.1562 
 Percent = 15.442  Prediction Error = 0.1562 
 Percent = 15.442  Prediction Error = 0.0781 
 Percent = 15.656  Prediction Error = 0.0781 
 Percent = 15.656  Prediction Error = -13E-9 
 Percent = 15.879  Prediction Error = -13E-9 
 Percent = 15.879  Prediction Error = -0.078 
 Percent = 16.11  Prediction Error = -0.078 
 Percent = 16.11  Prediction Error = -0.469 
 Percent = 17.331  Prediction Error = -0.469 
 Percent = 17.331  Prediction Error = -0.625 
 Percent = 17.817  Prediction Error = -0.625 
 Percent = 17.817  Prediction Error = -0.703 
 Percent = 18.05  Prediction Error = -0.703 
 Percent = 18.05  Prediction Error = -0.781 
 Percent = 18.273  Prediction Error = -0.781 
 Percent = 18.273  Prediction Error = -0.859 
 Percent = 18.483  Prediction Error = -0.859 
 Percent = 18.483  Prediction Error = -0.938 
 Percent = 18.678  Prediction Error = -0.938 
 Percent = 18.678  Prediction Error = -1.016 
 Percent = 18.854  Prediction Error = -1.016 
 Percent = 18.854  Prediction Error = -1.094 
 Percent = 19.008  Prediction Error = -1.094 
 Percent = 19.008  Prediction Error = -1.172 
 Percent = 19.137  Prediction Error = -1.172 
 Percent = 19.137  Prediction Error = -1.25 
 Percent = 19.238  Prediction Error = -1.25 
 Percent = 19.238  Prediction Error = -1.328 
 Percent = 19.308  Prediction Error = -1.328 
 Percent = 19.308  Prediction Error = -1.406 
 Percent = 19.343  Prediction Error = -1.406 
 Percent = 19.343  Prediction Error = -1.484 
 Percent = 19.343  Prediction Error = -1.484 
 Percent = 19.343  Prediction Error = -1.563 
 Percent = 19.303  Prediction Error = -1.563 
 Percent = 19.303  Prediction Error = -1.641 
 Percent = 19.222  Prediction Error = -1.641 
 Percent = 19.222  Prediction Error = -1.719 
 Percent = 19.099  Prediction Error = -1.719 
 Percent = 19.099  Prediction Error = -1.797 
 Percent = 18.932  Prediction Error = -1.797 
 Percent = 18.932  Prediction Error = -1.875 
 Percent = 18.72  Prediction Error = -1.875 
 Percent = 18.72  Prediction Error = -1.953 
 Percent = 18.464  Prediction Error = -1.953 
 Percent = 18.464  Prediction Error = -2.031 
 Percent = 18.165  Prediction Error = -2.031 
 Percent = 18.165  Prediction Error = -2.109 
 Percent = 17.823  Prediction Error = -2.109 
 Percent = 17.823  Prediction Error = -2.188 
 Percent = 17.439  Prediction Error = -2.188 
 Percent = 17.439  Prediction Error = -2.266 
 Percent = 17.017  Prediction Error = -2.266 
 Percent = 17.017  Prediction Error = -2.344 
 Percent = 16.558  Prediction Error = -2.344 
 Percent = 16.558  Prediction Error = -2.422 
 Percent = 16.067  Prediction Error = -2.422 
 Percent = 16.067  Prediction Error = -2.5 
 Percent = 15.546  Prediction Error = -2.5 
 Percent = 15.546  Prediction Error = -2.578 
 Percent = 15  Prediction Error = -2.578 
 Percent = 15  Prediction Error = -2.734 
 Percent = 13.847  Prediction Error = -2.734 
 Percent = 13.847  Prediction Error = -2.969 
 Percent = 12.038  Prediction Error = -2.969 
 Percent = 12.038  Prediction Error = -3.203 
 Percent = 10.234  Prediction Error = -3.203 
 Percent = 10.234  Prediction Error = -3.359 
 Percent = 9.0861  Prediction Error = -3.359 
 Percent = 9.0861  Prediction Error = -3.438 
 Percent = 8.5376  Prediction Error = -3.438 
 Percent = 8.5376  Prediction Error = -3.516 
 Percent = 8.0092  Prediction Error = -3.516 
 Percent = 8.0092  Prediction Error = -3.594 
 Percent = 7.5026  Prediction Error = -3.594 
 Percent = 7.5026  Prediction Error = -3.672 
 Percent = 7.0194  Prediction Error = -3.672 
 Percent = 7.0194  Prediction Error = -3.75 
 Percent = 6.5604  Prediction Error = -3.75 
 Percent = 6.5604  Prediction Error = -3.828 
 Percent = 6.1261  Prediction Error = -3.828 
 Percent = 6.1261  Prediction Error = -3.906 
 Percent = 5.7168  Prediction Error = -3.906 
 Percent = 5.7168  Prediction Error = -3.984 
 Percent = 5.3323  Prediction Error = -3.984 
 Percent = 5.3323  Prediction Error = -4.063 
 Percent = 4.972  Prediction Error = -4.063 
 Percent = 4.972  Prediction Error = -4.141 
 Percent = 4.6352  Prediction Error = -4.141 
 Percent = 4.6352  Prediction Error = -4.219 
 Percent = 4.3211  Prediction Error = -4.219 
 Percent = 4.3211  Prediction Error = -4.297 
 Percent = 4.0285  Prediction Error = -4.297 
 Percent = 4.0285  Prediction Error = -4.375 
 Percent = 3.7561  Prediction Error = -4.375 
 Percent = 3.7561  Prediction Error = -4.453 
 Percent = 3.5026  Prediction Error = -4.453 
 Percent = 3.5026  Prediction Error = -4.531 
 Percent = 3.2666  Prediction Error = -4.531 
 Percent = 3.2666  Prediction Error = -4.609 
 Percent = 3.0468  Prediction Error = -4.609 
 Percent = 3.0468  Prediction Error = -4.688 
 Percent = 2.8419  Prediction Error = -4.688 
 Percent = 2.8419  Prediction Error = -4.766 
 Percent = 2.6504  Prediction Error = -4.766 
 Percent = 2.6504  Prediction Error = -4.844 
 Percent = 2.4711  Prediction Error = -4.844 
 Percent = 2.4711  Prediction Error = -4.922 
 Percent = 2.303  Prediction Error = -4.922 
 Percent = 2.303  Prediction Error = -5 
 Percent = 2.1449  Prediction Error = -5 
 Percent = 2.1449  Prediction Error = -5.078 
 Percent = 1.996  Prediction Error = -5.078 
 Percent = 1.996  Prediction Error = -5.156 
 Percent = 1.8553  Prediction Error = -5.156 
 Percent = 1.8553  Prediction Error = -5.234 
 Percent = 1.7222  Prediction Error = -5.234 
 Percent = 1.7222  Prediction Error = -5.312 
 Percent = 1.5961  Prediction Error = -5.312 
 Percent = 1.5961  Prediction Error = -5.391 
 Percent = 1.4765  Prediction Error = -5.391 
 Percent = 1.4765  Prediction Error = -5.469 
 Percent = 1.363  Prediction Error = -5.469 
 Percent = 1.363  Prediction Error = -5.547 
 Percent = 1.2552  Prediction Error = -5.547 
 Percent = 1.2552  Prediction Error = -5.625 
 Percent = 1.1529  Prediction Error = -5.625 
 Percent = 1.1529  Prediction Error = -5.703 
 Percent = 1.056  Prediction Error = -5.703 
 Percent = 1.056  Prediction Error = -5.781 
 Percent = 0.9643  Prediction Error = -5.781 
 Percent = 0.9643  Prediction Error = -5.859 
 Percent = 0.8776  Prediction Error = -5.859 
 Percent = 0.8776  Prediction Error = -5.937 
 Percent = 0.796  Prediction Error = -5.937 
 Percent = 0.796  Prediction Error = -6.016 
 Percent = 0.7194  Prediction Error = -6.016 
 Percent = 0.7194  Prediction Error = -6.094 
 Percent = 0.6476  Prediction Error = -6.094 
 Percent = 0.6476  Prediction Error = -6.172 
 Percent = 0.5807  Prediction Error = -6.172 
 Percent = 0.5807  Prediction Error = -6.25 
 Percent = 0.5186  Prediction Error = -6.25 
 Percent = 0.5186  Prediction Error = -6.328 
 Percent = 0.4611  Prediction Error = -6.328 
 Percent = 0.4611  Prediction Error = -6.406 
 Percent = 0.4082  Prediction Error = -6.406 
 Percent = 0.4082  Prediction Error = -6.484 
 Percent = 0.3597  Prediction Error = -6.484 
 Percent = 0.3597  Prediction Error = -6.562 
 Percent = 0.3156  Prediction Error = -6.562 
 Percent = 0.3156  Prediction Error = -6.641 
 Percent = 0.2755  Prediction Error = -6.641 
 Percent = 0.2755  Prediction Error = -6.719 
 Percent = 0.2394  Prediction Error = -6.719 
 Percent = 0.2394  Prediction Error = -6.797 
 Percent = 0.207  Prediction Error = -6.797 
 Percent = 0.207  Prediction Error = -6.875 
 Percent = 0.1781  Prediction Error = -6.875 
 Percent = 0.1781  Prediction Error = -6.953 
 Percent = 0.1525  Prediction Error = -6.953 
 Percent = 0.1525  Prediction Error = -7.031 
 Percent = 0.1299  Prediction Error = -7.031 
 Percent = 0.1299  Prediction Error = -7.109 
 Percent = 0.11  Prediction Error = -7.109 
 Percent = 0.11  Prediction Error = -7.187 
 Percent = 0.0927  Prediction Error = -7.187 
 Percent = 0.0927  Prediction Error = -7.266 
 Percent = 0.0778  Prediction Error = -7.266 
 Percent = 0.0778  Prediction Error = -7.344 
 Percent = 0.0648  Prediction Error = -7.344 
 Percent = 0.0648  Prediction Error = -7.422 
 Percent = 0.0538  Prediction Error = -7.422 
 Percent = 0.0538  Prediction Error = -7.5 
 Percent = 0.0444  Prediction Error = -7.5 
 Percent = 0.0444  Prediction Error = -7.578 
 Percent = 0.0364  Prediction Error = 6.472 
 Percent = 0.2414  Prediction Error = 6.4053 
 Percent = 0.2643  Prediction Error = 6.4053 
 Percent = 0.2643  Prediction Error = 6.3385 
 Percent = 0.289  Prediction Error = 6.3385 
 Percent = 0.289  Prediction Error = 6.2718 
 Percent = 0.3158  Prediction Error = 6.2718 
 Percent = 0.3158  Prediction Error = 6.205 
 Percent = 0.3448  Prediction Error = 6.205 
 Percent = 0.3448  Prediction Error = 6.1383 
 Percent = 0.376  Prediction Error = 6.1383 
 Percent = 0.376  Prediction Error = 6.0715 
 Percent = 0.4097  Prediction Error = 6.0715 
 Percent = 0.4097  Prediction Error = 6.0048 
 Percent = 0.4461  Prediction Error = 6.0048 
 Percent = 0.4461  Prediction Error = 5.938 
 Percent = 0.4851  Prediction Error = 5.938 
 Percent = 0.4851  Prediction Error = 5.8713 
 Percent = 0.5272  Prediction Error = 5.8713 
 Percent = 0.5272  Prediction Error = 5.8045 
 Percent = 0.5723  Prediction Error = 5.8045 
 Percent = 0.5723  Prediction Error = 5.7378 
 Percent = 0.6208  Prediction Error = 5.7378 
 Percent = 0.6208  Prediction Error = 5.671 
 Percent = 0.6727  Prediction Error = 5.671 
 Percent = 0.6727  Prediction Error = 5.6042 
 Percent = 0.7284  Prediction Error = 5.6042 
 Percent = 0.7284  Prediction Error = 5.5375 
 Percent = 0.7878  Prediction Error = 5.5375 
 Percent = 0.7878  Prediction Error = 5.4707 
 Percent = 0.8514  Prediction Error = 5.4707 
 Percent = 0.8514  Prediction Error = 5.404 
 Percent = 0.9193  Prediction Error = 5.404 
 Percent = 0.9193  Prediction Error = 5.3372 
 Percent = 0.9916  Prediction Error = 5.3372 
 Percent = 0.9916  Prediction Error = 5.2705 
 Percent = 1.0687  Prediction Error = 5.2705 
 Percent = 1.0687  Prediction Error = 5.2037 
 Percent = 1.1507  Prediction Error = 5.2037 
 Percent = 1.1507  Prediction Error = 5.137 
 Percent = 1.2378  Prediction Error = 5.137 
 Percent = 1.2378  Prediction Error = 5.0702 
 Percent = 1.3303  Prediction Error = 5.0702 
 Percent = 1.3303  Prediction Error = 5.0035 
 Percent = 1.4284  Prediction Error = 5.0035 
 Percent = 1.4284  Prediction Error = 4.9367 
 Percent = 1.5324  Prediction Error = 4.9367 
 Percent = 1.5324  Prediction Error = 4.87 
 Percent = 1.6424  Prediction Error = 4.87 
 Percent = 1.6424  Prediction Error = 4.8032 
 Percent = 1.7587  Prediction Error = 4.8032 
 Percent = 1.7587  Prediction Error = 4.7365 
 Percent = 1.8815  Prediction Error = 4.7365 
 Percent = 1.8815  Prediction Error = 4.6697 
 Percent = 2.011  Prediction Error = 4.6697 
 Percent = 2.011  Prediction Error = 4.603 
 Percent = 2.1475  Prediction Error = 4.603 
 Percent = 2.1475  Prediction Error = 4.5362 
 Percent = 2.2911  Prediction Error = 4.5362 
 Percent = 2.2911  Prediction Error = 4.4695 
 Percent = 2.4421  Prediction Error = 4.4695 
 Percent = 2.4421  Prediction Error = 4.4027 
 Percent = 2.6006  Prediction Error = 4.4027 
 Percent = 2.6006  Prediction Error = 4.336 
 Percent = 2.7669  Prediction Error = 4.336 
 Percent = 2.7669  Prediction Error = 4.2692 
 Percent = 2.9412  Prediction Error = 4.2692 
 Percent = 2.9412  Prediction Error = 4.2024 
 Percent = 3.1235  Prediction Error = 4.2024 
 Percent = 3.1235  Prediction Error = 4.1357 
 Percent = 3.3141  Prediction Error = 4.1357 
 Percent = 3.3141  Prediction Error = 4.0689 
 Percent = 3.5131  Prediction Error = 4.0689 
 Percent = 3.5131  Prediction Error = 4.0022 
 Percent = 3.7206  Prediction Error = 4.0022 
 Percent = 3.7206  Prediction Error = 3.9354 
 Percent = 3.9368  Prediction Error = 3.9354 
 Percent = 3.9368  Prediction Error = 3.8687 
 Percent = 4.1617  Prediction Error = 3.8687 
 Percent = 4.1617  Prediction Error = 3.8019 
 Percent = 4.3954  Prediction Error = 3.8019 
 Percent = 4.3954  Prediction Error = 3.7352 
 Percent = 4.638  Prediction Error = 3.7352 
 Percent = 4.638  Prediction Error = 3.6684 
 Percent = 4.8894  Prediction Error = 3.6684 
 Percent = 4.8894  Prediction Error = 3.6017 
 Percent = 5.1498  Prediction Error = 3.6017 
 Percent = 5.1498  Prediction Error = 3.5349 
 Percent = 5.4191  Prediction Error = 3.5349 
 Percent = 5.4191  Prediction Error = 3.4682 
 Percent = 5.6972  Prediction Error = 3.4682 
 Percent = 5.6972  Prediction Error = 3.3347 
 Percent = 6.2796  Prediction Error = 3.3347 
 Percent = 6.2796  Prediction Error = 3.2012 
 Percent = 6.8962  Prediction Error = 3.2012 
 Percent = 6.8962  Prediction Error = 3.0677 
 Percent = 7.5456  Prediction Error = 3.0677 
 Percent = 7.5456  Prediction Error = 2.9342 
 Percent = 8.2258  Prediction Error = 2.9342 
 Percent = 8.2258  Prediction Error = 2.8006 
 Percent = 8.9345  Prediction Error = 2.8006 
 Percent = 8.9345  Prediction Error = 1.7994 
 Percent = 14.771  Prediction Error = 1.7994 
 Percent = 14.771  Prediction Error = 1.5991 
 Percent = 15.934  Prediction Error = 1.5991 
 Percent = 15.934  Prediction Error = 1.4656 
 Percent = 16.682  Prediction Error = 1.4656 
 Percent = 16.682  Prediction Error = 1.3321 
 Percent = 17.402  Prediction Error = 1.3321 
 Percent = 17.402  Prediction Error = 1.1986 
 Percent = 18.086  Prediction Error = 1.1986 
 Percent = 18.086  Prediction Error = 1.1318 
 Percent = 18.413  Prediction Error = 1.1318 
 Percent = 18.413  Prediction Error = 1.0651 
 Percent = 18.729  Prediction Error = 1.0651 
 Percent = 18.729  Prediction Error = 0.9983 
 Percent = 19.032  Prediction Error = 0.9983 
 Percent = 19.032  Prediction Error = 0.9316 
 Percent = 19.323  Prediction Error = 0.9316 
 Percent = 19.323  Prediction Error = 0.8648 
 Percent = 19.6  Prediction Error = 0.8648 
 Percent = 19.6  Prediction Error = 0.7981 
 Percent = 19.862  Prediction Error = 0.7981 
 Percent = 19.862  Prediction Error = 0.7313 
 Percent = 20.11  Prediction Error = 0.7313 
 Percent = 20.11  Prediction Error = 0.6646 
 Percent = 20.342  Prediction Error = 0.6646 
 Percent = 20.342  Prediction Error = 0.5978 
 Percent = 20.558  Prediction Error = 0.5978 
 Percent = 20.558  Prediction Error = 0.5311 
 Percent = 20.757  Prediction Error = 0.5311 
 Percent = 20.757  Prediction Error = 0.4643 
 Percent = 20.939  Prediction Error = 0.4643 
 Percent = 20.939  Prediction Error = 0.3976 
 Percent = 21.103  Prediction Error = 0.3976 
 Percent = 21.103  Prediction Error = 0.3308 
 Percent = 21.249  Prediction Error = 0.3308 
 Percent = 21.249  Prediction Error = 0.2641 
 Percent = 21.376  Prediction Error = 0.2641 
 Percent = 21.376  Prediction Error = 0.1973 
 Percent = 21.484  Prediction Error = 0.1973 
 Percent = 21.484  Prediction Error = 0.1305 
 Percent = 21.573  Prediction Error = 0.1305 
 Percent = 21.573  Prediction Error = 0.0638 
 Percent = 21.643  Prediction Error = 0.0638 
 Percent = 21.643  Prediction Error = -0.003 
 Percent = 21.693  Prediction Error = -0.003 
 Percent = 21.693  Prediction Error = -0.07 
 Percent = 21.723  Prediction Error = -0.07 
 Percent = 21.723  Prediction Error = -0.136 
 Percent = 21.733  Prediction Error = -0.136 
 Percent = 21.733  Prediction Error = -0.203 
 Percent = 21.723  Prediction Error = -0.203 
 Percent = 21.723  Prediction Error = -0.27 
 Percent = 21.693  Prediction Error = -0.27 
 Percent = 21.693  Prediction Error = -0.337 
 Percent = 21.643  Prediction Error = -0.337 
 Percent = 21.643  Prediction Error = -0.403 
 Percent = 21.573  Prediction Error = -0.403 
 Percent = 21.573  Prediction Error = -0.47 
 Percent = 21.484  Prediction Error = -0.47 
 Percent = 21.484  Prediction Error = -0.537 
 Percent = 21.376  Prediction Error = -0.537 
 Percent = 21.376  Prediction Error = -0.604 
 Percent = 21.249  Prediction Error = -0.604 
 Percent = 21.249  Prediction Error = -0.67 
 Percent = 21.103  Prediction Error = -0.67 
 Percent = 21.103  Prediction Error = -0.737 
 Percent = 20.939  Prediction Error = -0.737 
 Percent = 20.939  Prediction Error = -0.804 
 Percent = 20.757  Prediction Error = -0.804 
 Percent = 20.757  Prediction Error = -0.871 
 Percent = 20.558  Prediction Error = -0.871 
 Percent = 20.558  Prediction Error = -0.937 
 Percent = 20.342  Prediction Error = -0.937 
 Percent = 20.342  Prediction Error = -1.004 
 Percent = 20.11  Prediction Error = -1.004 
 Percent = 20.11  Prediction Error = -1.071 
 Percent = 19.862  Prediction Error = -1.071 
 Percent = 19.862  Prediction Error = -1.138 
 Percent = 19.6  Prediction Error = -1.138 
 Percent = 19.6  Prediction Error = -1.205 
 Percent = 19.323  Prediction Error = -1.205 
 Percent = 19.323  Prediction Error = -1.271 
 Percent = 19.032  Prediction Error = -1.271 
 Percent = 19.032  Prediction Error = -1.338 
 Percent = 18.729  Prediction Error = -1.338 
 Percent = 18.729  Prediction Error = -1.405 
 Percent = 18.413  Prediction Error = -1.405 
 Percent = 18.413  Prediction Error = -1.472 
 Percent = 18.086  Prediction Error = -1.472 
 Percent = 18.086  Prediction Error = -1.605 
 Percent = 17.402  Prediction Error = -1.605 
 Percent = 17.402  Prediction Error = -1.739 
 Percent = 16.682  Prediction Error = -1.739 
 Percent = 16.682  Prediction Error = -2.54 
 Percent = 11.986  Prediction Error = -2.54 
 Percent = 11.986  Prediction Error = -2.807 
 Percent = 10.425  Prediction Error = -2.807 
 Percent = 10.425  Prediction Error = -3.007 
 Percent = 9.2986  Prediction Error = -3.007 
 Percent = 9.2986  Prediction Error = -3.14 
 Percent = 8.5768  Prediction Error = -3.14 
 Percent = 8.5768  Prediction Error = -3.274 
 Percent = 7.882  Prediction Error = -3.274 
 Percent = 7.882  Prediction Error = -3.407 
 Percent = 7.2169  Prediction Error = -3.407 
 Percent = 7.2169  Prediction Error = -3.541 
 Percent = 6.5837  Prediction Error = -3.541 
 Percent = 6.5837  Prediction Error = -3.674 
 Percent = 5.984  Prediction Error = -3.674 
 Percent = 5.984  Prediction Error = -3.741 
 Percent = 5.6972  Prediction Error = -3.741 
 Percent = 5.6972  Prediction Error = -3.808 
 Percent = 5.4191  Prediction Error = -3.808 
 Percent = 5.4191  Prediction Error = -3.875 
 Percent = 5.1498  Prediction Error = -3.875 
 Percent = 5.1498  Prediction Error = -3.941 
 Percent = 4.8894  Prediction Error = -3.941 
 Percent = 4.8894  Prediction Error = -4.008 
 Percent = 4.638  Prediction Error = -4.008 
 Percent = 4.638  Prediction Error = -4.075 
 Percent = 4.3954  Prediction Error = -4.075 
 Percent = 4.3954  Prediction Error = -4.142 
 Percent = 4.1617  Prediction Error = -4.142 
 Percent = 4.1617  Prediction Error = -4.208 
 Percent = 3.9368  Prediction Error = -4.208 
 Percent = 3.9368  Prediction Error = -4.275 
 Percent = 3.7206  Prediction Error = -4.275 
 Percent = 3.7206  Prediction Error = -4.342 
 Percent = 3.5131  Prediction Error = -4.342 
 Percent = 3.5131  Prediction Error = -4.409 
 Percent = 3.3141  Prediction Error = -4.409 
 Percent = 3.3141  Prediction Error = -4.475 
 Percent = 3.1235  Prediction Error = -4.475 
 Percent = 3.1235  Prediction Error = -4.542 
 Percent = 2.9412  Prediction Error = -4.542 
 Percent = 2.9412  Prediction Error = -4.609 
 Percent = 2.7669  Prediction Error = -4.609 
 Percent = 2.7669  Prediction Error = -4.676 
 Percent = 2.6006  Prediction Error = -4.676 
 Percent = 2.6006  Prediction Error = -4.742 
 Percent = 2.4421  Prediction Error = -4.742 
 Percent = 2.4421  Prediction Error = -4.809 
 Percent = 2.2911  Prediction Error = -4.809 
 Percent = 2.2911  Prediction Error = -4.876 
 Percent = 2.1475  Prediction Error = -4.876 
 Percent = 2.1475  Prediction Error = -4.943 
 Percent = 2.011  Prediction Error = -4.943 
 Percent = 2.011  Prediction Error = -5.009 
 Percent = 1.8815  Prediction Error = -5.009 
 Percent = 1.8815  Prediction Error = -5.076 
 Percent = 1.7587  Prediction Error = -5.076 
 Percent = 1.7587  Prediction Error = -5.143 
 Percent = 1.6424  Prediction Error = -5.143 
 Percent = 1.6424  Prediction Error = -5.21 
 Percent = 1.5324  Prediction Error = -5.21 
 Percent = 1.5324  Prediction Error = -5.276 
 Percent = 1.4284  Prediction Error = -5.276 
 Percent = 1.4284  Prediction Error = -5.343 
 Percent = 1.3303  Prediction Error = -5.343 
 Percent = 1.3303  Prediction Error = -5.41 
 Percent = 1.2378  Prediction Error = -5.41 
 Percent = 1.2378  Prediction Error = -5.477 
 Percent = 1.1507  Prediction Error = -5.477 
 Percent = 1.1507  Prediction Error = -5.543 
 Percent = 1.0687  Prediction Error = -5.543 
 Percent = 1.0687  Prediction Error = -5.61 
 Percent = 0.9916  Prediction Error = -5.61 
 Percent = 0.9916  Prediction Error = -5.677 
 Percent = 0.9193  Prediction Error = -5.677 
 Percent = 0.9193  Prediction Error = -5.744 
 Percent = 0.8514  Prediction Error = -5.744 
 Percent = 0.8514  Prediction Error = -5.81 
 Percent = 0.7878  Prediction Error = -5.81 
 Percent = 0.7878  Prediction Error = -5.877 
 Percent = 0.7284  Prediction Error = -5.877 
 Percent = 0.7284  Prediction Error = -5.944 
 Percent = 0.6727  Prediction Error = -5.944 
 Percent = 0.6727  Prediction Error = -6.011 
 Percent = 0.6208  Prediction Error = -6.011 
 Percent = 0.6208  Prediction Error = -6.077 
 Percent = 0.5723  Prediction Error = -6.077 
 Percent = 0.5723  Prediction Error = -6.144 
 Percent = 0.5272  Prediction Error = -6.144 
 Percent = 0.5272  Prediction Error = -6.211 
 Percent = 0.4851  Prediction Error = -6.211 
 Percent = 0.4851  Prediction Error = -6.278 
 Percent = 0.4461  Prediction Error = -6.278 
 Percent = 0.4461  Prediction Error = -6.344 
 Percent = 0.4097  Prediction Error = -6.344 
 Percent = 0.4097  Prediction Error = -6.411 
 Percent = 0.376  Prediction Error = -6.411 
 Percent = 0.376  Prediction Error = -6.478 
 Percent = 0.3448  Prediction Error = -6.478 
 Percent = 0.3448  Prediction Error = -6.545 
 Percent = 0.3158  Prediction Error = -6.545 
 Percent = 0.3158  Prediction Error = -6.611 
 Percent = 0.289  Prediction Error = -6.611 
 Percent = 0.289  Prediction Error = -6.678 
 Percent = 0.2643  Prediction Error = -6.678 
 Percent = 0.2643  Prediction Error = -6.745 
 Percent = 0.2414  Prediction Error = 4.8 
 Percent = 0.8889  Prediction Error = 4.8 
 Percent = 0.8889  Prediction Error = 3.6 
 Percent = 9.7778  Prediction Error = 3.6 
 Percent = 9.7778  Prediction Error = 2.4 
 Percent = 15.556  Prediction Error = 2.4 
 Percent = 15.556  Prediction Error = 1.2 
 Percent = 10.667  Prediction Error = 1.2 
 Percent = 10.667  Prediction Error = 0 
 Percent = 15.111  Prediction Error = 0 
 Percent = 15.111  Prediction Error = -1.2 
 Percent = 19.556  Prediction Error = -1.2 
 Percent = 19.556  Prediction Error = -2.4 
 Percent = 21.333  Prediction Error = -2.4 
 Percent = 21.333  Prediction Error = -3.6 
 Percent = 4.8889  Prediction Error = -3.6 
 Percent = 4.8889  Prediction Error = -4.8 
 Percent = 2.2222  Prediction Error = -4.8 
 Percent = 2.2222  Quantile = 2.7733 
 Residual = 5  Quantile = 2.4464 
 Residual = 4.4286  Quantile = 2.2684 
 Residual = 4  Quantile = 2.1421 
 Residual = 4  Quantile = 2.0429 
 Residual = 3.875  Quantile = 1.9604 
 Residual = 3.875  Quantile = 1.8895 
 Residual = 3.8182  Quantile = 1.827 
 Residual = 3.75  Quantile = 1.7709 
 Residual = 3.6923  Quantile = 1.7198 
 Residual = 3.6  Quantile = 1.6729 
 Residual = 3.4667  Quantile = 1.6294 
 Residual = 3.4286  Quantile = 1.5888 
 Residual = 3.4286  Quantile = 1.5507 
 Residual = 3.3333  Quantile = 1.5147 
 Residual = 3.3333  Quantile = 1.4805 
 Residual = 3.3333  Quantile = 1.448 
 Residual = 3.25  Quantile = 1.417 
 Residual = 3.1429  Quantile = 1.3872 
 Residual = 3.1429  Quantile = 1.3587 
 Residual = 3  Quantile = 1.3312 
 Residual = 3  Quantile = 1.3047 
 Residual = 3  Quantile = 1.279 
 Residual = 3  Quantile = 1.2542 
 Residual = 3  Quantile = 1.2301 
 Residual = 2.9091  Quantile = 1.2068 
 Residual = 2.8889  Quantile = 1.184 
 Residual = 2.7368  Quantile = 1.1619 
 Residual = 2.7143  Quantile = 1.1403 
 Residual = 2.6667  Quantile = 1.1192 
 Residual = 2.5714  Quantile = 1.0987 
 Residual = 2.5  Quantile = 1.0785 
 Residual = 2.5  Quantile = 1.0588 
 Residual = 2.4737  Quantile = 1.0395 
 Residual = 2.4286  Quantile = 1.0206 
 Residual = 2.4286  Quantile = 1.0021 
 Residual = 2.4  Quantile = 0.9838 
 Residual = 2.3571  Quantile = 0.9659 
 Residual = 2.3333  Quantile = 0.9483 
 Residual = 2.2727  Quantile = 0.931 
 Residual = 2.25  Quantile = 0.914 
 Residual = 2.25  Quantile = 0.8972 
 Residual = 2.25  Quantile = 0.8807 
 Residual = 2.2353  Quantile = 0.8644 
 Residual = 2.2308  Quantile = 0.8484 
 Residual = 2.2105  Quantile = 0.8325 
 Residual = 2.2  Quantile = 0.8169 
 Residual = 2.125  Quantile = 0.8015 
 Residual = 2.1111  Quantile = 0.7862 
 Residual = 2.0833  Quantile = 0.7711 
 Residual = 2.0714  Quantile = 0.7562 
 Residual = 2  Quantile = 0.7415 
 Residual = 2  Quantile = 0.7269 
 Residual = 2  Quantile = 0.7125 
 Residual = 2  Quantile = 0.6983 
 Residual = 2  Quantile = 0.6841 
 Residual = 1.9231  Quantile = 0.6701 
 Residual = 1.9091  Quantile = 0.6563 
 Residual = 1.8889  Quantile = 0.6425 
 Residual = 1.8333  Quantile = 0.6289 
 Residual = 1.7692  Quantile = 0.6154 
 Residual = 1.6667  Quantile = 0.602 
 Residual = 1.5  Quantile = 0.5887 
 Residual = 1.5  Quantile = 0.5755 
 Residual = 1.5  Quantile = 0.5625 
 Residual = 1.5  Quantile = 0.5495 
 Residual = 1.3333  Quantile = 0.5366 
 Residual = 1.3333  Quantile = 0.5238 
 Residual = 1.3125  Quantile = 0.511 
 Residual = 1.2857  Quantile = 0.4984 
 Residual = 1.1429  Quantile = 0.4858 
 Residual = 1.125  Quantile = 0.4734 
 Residual = 1.0769  Quantile = 0.4609 
 Residual = 1.0625  Quantile = 0.4486 
 Residual = 1.0625  Quantile = 0.4363 
 Residual = 1  Quantile = 0.4241 
 Residual = 1  Quantile = 0.412 
 Residual = 1  Quantile = 0.3999 
 Residual = 0.9333  Quantile = 0.3879 
 Residual = 0.9231  Quantile = 0.3759 
 Residual = 0.7273  Quantile = 0.364 
 Residual = 0.7273  Quantile = 0.3521 
 Residual = 0.6842  Quantile = 0.3403 
 Residual = 0.6667  Quantile = 0.3285 
 Residual = 0.5  Quantile = 0.3168 
 Residual = 0.5  Quantile = 0.3051 
 Residual = 0.3846  Quantile = 0.2935 
 Residual = 0.25  Quantile = 0.2819 
 Residual = 0.25  Quantile = 0.2703 
 Residual = 0.2353  Quantile = 0.2588 
 Residual = 0.1765  Quantile = 0.2473 
 Residual = 0.1765  Quantile = 0.2359 
 Residual = 0.1667  Quantile = 0.2244 
 Residual = 0.1667  Quantile = 0.213 
 Residual = 0.1429  Quantile = 0.2017 
 Residual = 0.1111  Quantile = 0.1903 
 Residual = 0.1111  Quantile = 0.179 
 Residual = 0.1053  Quantile = 0.1677 
 Residual = 0.1053  Quantile = 0.1564 
 Residual = 0.0769  Quantile = 0.1452 
 Residual = 2E-8  Quantile = 0.1339 
 Residual = 1.2E-8  Quantile = 0.1227 
 Residual = -16E-9  Quantile = 0.1115 
 Residual = -51E-9  Quantile = 0.1003 
 Residual = -63E-8  Quantile = 0.0891 
 Residual = -0.071  Quantile = 0.078 
 Residual = -0.083  Quantile = 0.0668 
 Residual = -0.143  Quantile = 0.0557 
 Residual = -0.2  Quantile = 0.0445 
 Residual = -0.222  Quantile = 0.0334 
 Residual = -0.333  Quantile = 0.0223 
 Residual = -0.333  Quantile = 0.0111 
 Residual = -0.353  Quantile = 0 
 Residual = -0.357  Quantile = -0.011 
 Residual = -0.375  Quantile = -0.022 
 Residual = -0.5  Quantile = -0.033 
 Residual = -0.5  Quantile = -0.045 
 Residual = -0.529  Quantile = -0.056 
 Residual = -0.667  Quantile = -0.067 
 Residual = -0.667  Quantile = -0.078 
 Residual = -0.727  Quantile = -0.089 
 Residual = -0.737  Quantile = -0.1 
 Residual = -0.778  Quantile = -0.112 
 Residual = -0.8  Quantile = -0.123 
 Residual = -0.8  Quantile = -0.134 
 Residual = -0.818  Quantile = -0.145 
 Residual = -0.833  Quantile = -0.156 
 Residual = -0.857  Quantile = -0.168 
 Residual = -0.941  Quantile = -0.179 
 Residual = -1  Quantile = -0.19 
 Residual = -1  Quantile = -0.202 
 Residual = -1  Quantile = -0.213 
 Residual = -1  Quantile = -0.224 
 Residual = -1  Quantile = -0.236 
 Residual = -1  Quantile = -0.247 
 Residual = -1.059  Quantile = -0.259 
 Residual = -1.067  Quantile = -0.27 
 Residual = -1.125  Quantile = -0.282 
 Residual = -1.2  Quantile = -0.293 
 Residual = -1.25  Quantile = -0.305 
 Residual = -1.333  Quantile = -0.317 
 Residual = -1.333  Quantile = -0.329 
 Residual = -1.333  Quantile = -0.34 
 Residual = -1.333  Quantile = -0.352 
 Residual = -1.375  Quantile = -0.364 
 Residual = -1.4  Quantile = -0.376 
 Residual = -1.4  Quantile = -0.388 
 Residual = -1.4  Quantile = -0.4 
 Residual = -1.5  Quantile = -0.412 
 Residual = -1.5  Quantile = -0.424 
 Residual = -1.5  Quantile = -0.436 
 Residual = -1.556  Quantile = -0.449 
 Residual = -1.556  Quantile = -0.461 
 Residual = -1.571  Quantile = -0.473 
 Residual = -1.588  Quantile = -0.486 
 Residual = -1.6  Quantile = -0.498 
 Residual = -1.625  Quantile = -0.511 
 Residual = -1.643  Quantile = -0.524 
 Residual = -1.667  Quantile = -0.537 
 Residual = -1.667  Quantile = -0.549 
 Residual = -1.765  Quantile = -0.562 
 Residual = -1.769  Quantile = -0.576 
 Residual = -1.8  Quantile = -0.589 
 Residual = -1.833  Quantile = -0.602 
 Residual = -1.833  Quantile = -0.615 
 Residual = -1.875  Quantile = -0.629 
 Residual = -1.875  Quantile = -0.643 
 Residual = -1.895  Quantile = -0.656 
 Residual = -1.909  Quantile = -0.67 
 Residual = -1.917  Quantile = -0.684 
 Residual = -1.917  Quantile = -0.698 
 Residual = -1.929  Quantile = -0.713 
 Residual = -1.937  Quantile = -0.727 
 Residual = -1.938  Quantile = -0.742 
 Residual = -2  Quantile = -0.756 
 Residual = -2  Quantile = -0.771 
 Residual = -2  Quantile = -0.786 
 Residual = -2  Quantile = -0.801 
 Residual = -2  Quantile = -0.817 
 Residual = -2.067  Quantile = -0.833 
 Residual = -2.067  Quantile = -0.848 
 Residual = -2.091  Quantile = -0.864 
 Residual = -2.091  Quantile = -0.881 
 Residual = -2.1  Quantile = -0.897 
 Residual = -2.143  Quantile = -0.914 
 Residual = -2.167  Quantile = -0.931 
 Residual = -2.2  Quantile = -0.948 
 Residual = -2.2  Quantile = -0.966 
 Residual = -2.2  Quantile = -0.984 
 Residual = -2.214  Quantile = -1.002 
 Residual = -2.231  Quantile = -1.021 
 Residual = -2.25  Quantile = -1.04 
 Residual = -2.273  Quantile = -1.059 
 Residual = -2.3  Quantile = -1.079 
 Residual = -2.3  Quantile = -1.099 
 Residual = -2.333  Quantile = -1.119 
 Residual = -2.333  Quantile = -1.14 
 Residual = -2.4  Quantile = -1.162 
 Residual = -2.4  Quantile = -1.184 
 Residual = -2.5  Quantile = -1.207 
 Residual = -2.5  Quantile = -1.23 
 Residual = -2.5  Quantile = -1.254 
 Residual = -2.6  Quantile = -1.279 
 Residual = -2.625  Quantile = -1.305 
 Residual = -2.667  Quantile = -1.331 
 Residual = -2.75  Quantile = -1.359 
 Residual = -2.75  Quantile = -1.387 
 Residual = -2.8  Quantile = -1.417 
 Residual = -2.833  Quantile = -1.448 
 Residual = -2.937  Quantile = -1.481 
 Residual = -3  Quantile = -1.515 
 Residual = -3  Quantile = -1.551 
 Residual = -3  Quantile = -1.589 
 Residual = -3.077  Quantile = -1.629 
 Residual = -3.25  Quantile = -1.673 
 Residual = -3.4  Quantile = -1.72 
 Residual = -3.5  Quantile = -1.771 
 Residual = -4  Quantile = -1.827 
 Residual = -4  Quantile = -1.89 
 Residual = -4  Quantile = -1.96 
 Residual = -4  Quantile = -2.043 
 Residual = -4.2  Quantile = -2.142 
 Residual = -5  Quantile = -2.268 
 Residual = -5  Quantile = -2.446 
 Residual = -5  Quantile = -2.773 
 Residual = -5  Slope = 2.2028 
 Y = -0.136  Lag = 24 
 ACF = 0.0408  Lag = 23 
 ACF = -0.064  Lag = 22 
 ACF = -0.076  Lag = 21 
 ACF = -0.049  Lag = 20 
 ACF = -0.128  Lag = 19 
 ACF = -0.026  Lag = 18 
 ACF = 0.0436  Lag = 17 
 ACF = 0.0817  Lag = 16 
 ACF = 0.0318  Lag = 15 
 ACF = 0.0046  Lag = 14 
 ACF = -0.043  Lag = 13 
 ACF = -0.06  Lag = 12 
 ACF = -0.076  Lag = 11 
 ACF = 0.1162  Lag = 10 
 ACF = 0.0273  Lag = 9 
 ACF = 0.0708  Lag = 8 
 ACF = 0.0777  Lag = 7 
 ACF = 0.001  Lag = 6 
 ACF = 0.1629  Lag = 5 
 ACF = 0.0051  Lag = 4 
 ACF = -0.02  Lag = 3 
 ACF = 0.0856  Lag = 2 
 ACF = 0.0347  Lag = 1 
 ACF = 0.089  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.148 
 Upper = 0.1483  Lag = 23 
 Lower = -0.148 
 Upper = 0.1479  Lag = 23 
 Lower = -0.148 
 Upper = 0.1479  Lag = 22 
 Lower = -0.147 
 Upper = 0.1471  Lag = 22 
 Lower = -0.147 
 Upper = 0.1471  Lag = 21 
 Lower = -0.147 
 Upper = 0.1469  Lag = 21 
 Lower = -0.147 
 Upper = 0.1469  Lag = 20 
 Lower = -0.145 
 Upper = 0.1449  Lag = 20 
 Lower = -0.145 
 Upper = 0.1449  Lag = 19 
 Lower = -0.145 
 Upper = 0.1448  Lag = 19 
 Lower = -0.145 
 Upper = 0.1448  Lag = 18 
 Lower = -0.145 
 Upper = 0.1445  Lag = 18 
 Lower = -0.145 
 Upper = 0.1445  Lag = 17 
 Lower = -0.144 
 Upper = 0.1437  Lag = 17 
 Lower = -0.144 
 Upper = 0.1437  Lag = 16 
 Lower = -0.144 
 Upper = 0.1436  Lag = 16 
 Lower = -0.144 
 Upper = 0.1436  Lag = 15 
 Lower = -0.144 
 Upper = 0.1436  Lag = 15 
 Lower = -0.144 
 Upper = 0.1436  Lag = 14 
 Lower = -0.143 
 Upper = 0.1434  Lag = 14 
 Lower = -0.143 
 Upper = 0.1434  Lag = 13 
 Lower = -0.143 
 Upper = 0.1429  Lag = 13 
 Lower = -0.143 
 Upper = 0.1429  Lag = 12 
 Lower = -0.142 
 Upper = 0.1422  Lag = 12 
 Lower = -0.142 
 Upper = 0.1422  Lag = 11 
 Lower = -0.141 
 Upper = 0.1405  Lag = 11 
 Lower = -0.141 
 Upper = 0.1405  Lag = 10 
 Lower = -0.14 
 Upper = 0.1404  Lag = 10 
 Lower = -0.14 
 Upper = 0.1404  Lag = 9 
 Lower = -0.14 
 Upper = 0.1398  Lag = 9 
 Lower = -0.14 
 Upper = 0.1398  Lag = 8 
 Lower = -0.139 
 Upper = 0.139  Lag = 8 
 Lower = -0.139 
 Upper = 0.139  Lag = 7 
 Lower = -0.139 
 Upper = 0.139  Lag = 7 
 Lower = -0.139 
 Upper = 0.139  Lag = 6 
 Lower = -0.136 
 Upper = 0.1356  Lag = 6 
 Lower = -0.136 
 Upper = 0.1356  Lag = 5 
 Lower = -0.136 
 Upper = 0.1356  Lag = 5 
 Lower = -0.136 
 Upper = 0.1356  Lag = 4 
 Lower = -0.136 
 Upper = 0.1355  Lag = 4 
 Lower = -0.136 
 Upper = 0.1355  Lag = 3 
 Lower = -0.135 
 Upper = 0.1345  Lag = 3 
 Lower = -0.135 
 Upper = 0.1345  Lag = 2 
 Lower = -0.134 
 Upper = 0.1344  Lag = 2 
 Lower = -0.134 
 Upper = 0.1344  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0394  Lag = 23 
 PACF = -0.022  Lag = 22 
 PACF = -0.069  Lag = 21 
 PACF = -0.027  Lag = 20 
 PACF = -0.121  Lag = 19 
 PACF = -0.05  Lag = 18 
 PACF = 0.063  Lag = 17 
 PACF = 0.037  Lag = 16 
 PACF = 0.0282  Lag = 15 
 PACF = 0.0239  Lag = 14 
 PACF = -0.071  Lag = 13 
 PACF = -0.043  Lag = 12 
 PACF = -0.132  Lag = 11 
 PACF = 0.1038  Lag = 10 
 PACF = 0.0269  Lag = 9 
 PACF = 0.0347  Lag = 8 
 PACF = 0.0725  Lag = 7 
 PACF = -0.023  Lag = 6 
 PACF = 0.159  Lag = 5 
 PACF = 0.0055  Lag = 4 
 PACF = -0.036  Lag = 3 
 PACF = 0.0809  Lag = 2 
 PACF = 0.0269  Lag = 1 
 PACF = 0.089  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = 0.4993  Date_of_death = Jul2019 
 Loess Fit = 0.4639  Date_of_death = Jul2019 
 Loess Fit = 0.4639  Date_of_death = Jun2019 
 Loess Fit = 0.4286  Date_of_death = Jun2019 
 Loess Fit = 0.4286  Date_of_death = May2019 
 Loess Fit = 0.3932  Date_of_death = May2019 
 Loess Fit = 0.3932  Date_of_death = Apr2019 
 Loess Fit = 0.3579  Date_of_death = Apr2019 
 Loess Fit = 0.3579  Date_of_death = Mar2019 
 Loess Fit = 0.3225  Date_of_death = Mar2019 
 Loess Fit = 0.3225  Date_of_death = Feb2019 
 Loess Fit = 0.2872  Date_of_death = Feb2019 
 Loess Fit = 0.2872  Date_of_death = Jan2019 
 Loess Fit = 0.253  Date_of_death = Jan2019 
 Loess Fit = 0.253  Date_of_death = Dec2018 
 Loess Fit = 0.2191  Date_of_death = Dec2018 
 Loess Fit = 0.2191  Date_of_death = Oct2018 
 Loess Fit = 0.1852  Date_of_death = Oct2018 
 Loess Fit = 0.1852  Date_of_death = Sep2018 
 Loess Fit = 0.1513  Date_of_death = Sep2018 
 Loess Fit = 0.1513  Date_of_death = Aug2018 
 Loess Fit = 0.1174  Date_of_death = Aug2018 
 Loess Fit = 0.1174  Date_of_death = Jul2018 
 Loess Fit = 0.0835  Date_of_death = Jul2018 
 Loess Fit = 0.0835  Date_of_death = Jun2018 
 Loess Fit = 0.0497  Date_of_death = Jun2018 
 Loess Fit = 0.0497  Date_of_death = May2018 
 Loess Fit = 0.0161  Date_of_death = May2018 
 Loess Fit = 0.0161  Date_of_death = Apr2018 
 Loess Fit = -0.018  Date_of_death = Apr2018 
 Loess Fit = -0.018  Date_of_death = Mar2018 
 Loess Fit = -0.051  Date_of_death = Mar2018 
 Loess Fit = -0.051  Date_of_death = Jan2018 
 Loess Fit = -0.085  Date_of_death = Jan2018 
 Loess Fit = -0.085  Date_of_death = Dec2017 
 Loess Fit = -0.119  Date_of_death = Dec2017 
 Loess Fit = -0.119  Date_of_death = Nov2017 
 Loess Fit = -0.152  Date_of_death = Nov2017 
 Loess Fit = -0.152  Date_of_death = Oct2017 
 Loess Fit = -0.184  Date_of_death = Oct2017 
 Loess Fit = -0.184  Date_of_death = Sep2017 
 Loess Fit = -0.216  Date_of_death = Sep2017 
 Loess Fit = -0.216  Date_of_death = Aug2017 
 Loess Fit = -0.248  Date_of_death = Aug2017 
 Loess Fit = -0.248  Date_of_death = Jul2017 
 Loess Fit = -0.28  Date_of_death = Jul2017 
 Loess Fit = -0.28  Date_of_death = Jun2017 
 Loess Fit = -0.312  Date_of_death = Jun2017 
 Loess Fit = -0.312  Date_of_death = May2017 
 Loess Fit = -0.344  Date_of_death = May2017 
 Loess Fit = -0.344  Date_of_death = Mar2017 
 Loess Fit = -0.355  Date_of_death = Mar2017 
 Loess Fit = -0.355  Date_of_death = Feb2017 
 Loess Fit = -0.365  Date_of_death = Feb2017 
 Loess Fit = -0.365  Date_of_death = Jan2017 
 Loess Fit = -0.375  Date_of_death = Jan2017 
 Loess Fit = -0.375  Date_of_death = Dec2016 
 Loess Fit = -0.386  Date_of_death = Dec2016 
 Loess Fit = -0.386  Date_of_death = Nov2016 
 Loess Fit = -0.396  Date_of_death = Nov2016 
 Loess Fit = -0.396  Date_of_death = Oct2016 
 Loess Fit = -0.406  Date_of_death = Oct2016 
 Loess Fit = -0.406  Date_of_death = Sep2016 
 Loess Fit = -0.413  Date_of_death = Sep2016 
 Loess Fit = -0.413  Date_of_death = Aug2016 
 Loess Fit = -0.418  Date_of_death = Aug2016 
 Loess Fit = -0.418  Date_of_death = Jun2016 
 Loess Fit = -0.423  Date_of_death = Jun2016 
 Loess Fit = -0.423  Date_of_death = May2016 
 Loess Fit = -0.429  Date_of_death = May2016 
 Loess Fit = -0.429  Date_of_death = Apr2016 
 Loess Fit = -0.434  Date_of_death = Apr2016 
 Loess Fit = -0.434  Date_of_death = Mar2016 
 Loess Fit = -0.439  Date_of_death = Mar2016 
 Loess Fit = -0.439  Date_of_death = Feb2016 
 Loess Fit = -0.435  Date_of_death = Feb2016 
 Loess Fit = -0.435  Date_of_death = Jan2016 
 Loess Fit = -0.421  Date_of_death = Jan2016 
 Loess Fit = -0.421  Date_of_death = Dec2015 
 Loess Fit = -0.407  Date_of_death = Dec2015 
 Loess Fit = -0.407  Date_of_death = Nov2015 
 Loess Fit = -0.393  Date_of_death = Nov2015 
 Loess Fit = -0.393  Date_of_death = Sep2015 
 Loess Fit = -0.379  Date_of_death = Sep2015 
 Loess Fit = -0.379  Date_of_death = Aug2015 
 Loess Fit = -0.365  Date_of_death = Aug2015 
 Loess Fit = -0.365  Date_of_death = Jul2015 
 Loess Fit = -0.348  Date_of_death = Jul2015 
 Loess Fit = -0.348  Date_of_death = Jun2015 
 Loess Fit = -0.324  Date_of_death = Jun2015 
 Loess Fit = -0.324  Date_of_death = May2015 
 Loess Fit = -0.3  Date_of_death = May2015 
 Loess Fit = -0.3  Date_of_death = Apr2015 
 Loess Fit = -0.276  Date_of_death = Apr2015 
 Loess Fit = -0.276  Date_of_death = Mar2015 
 Loess Fit = -0.251  Date_of_death = Mar2015 
 Loess Fit = -0.251  Date_of_death = Feb2015 
 Loess Fit = -0.227  Date_of_death = Feb2015 
 Loess Fit = -0.227  Date_of_death = Dec2014 
 Loess Fit = -0.203  Date_of_death = Dec2014 
 Loess Fit = -0.203  Date_of_death = Nov2014 
 Loess Fit = -0.172  Date_of_death = Nov2014 
 Loess Fit = -0.172  Date_of_death = Oct2014 
 Loess Fit = -0.141  Date_of_death = Oct2014 
 Loess Fit = -0.141  Date_of_death = Sep2014 
 Loess Fit = -0.109  Date_of_death = Sep2014 
 Loess Fit = -0.109  Date_of_death = Aug2014 
 Loess Fit = -0.078  Date_of_death = Aug2014 
 Loess Fit = -0.078  Date_of_death = Jul2014 
 Loess Fit = -0.047  Date_of_death = Jul2014 
 Loess Fit = -0.047  Date_of_death = Jun2014 
 Loess Fit = -0.016  Date_of_death = Jun2014 
 Loess Fit = -0.016  Date_of_death = May2014 
 Loess Fit = 0.0169  Date_of_death = May2014 
 Loess Fit = 0.0169  Date_of_death = Apr2014 
 Loess Fit = 0.05  Date_of_death = Apr2014 
 Loess Fit = 0.05  Date_of_death = Feb2014 
 Loess Fit = 0.0831  Date_of_death = Feb2014 
 Loess Fit = 0.0831  Date_of_death = Jan2014 
 Loess Fit = 0.1162  Date_of_death = Jan2014 
 Loess Fit = 0.1162  Date_of_death = Dec2013 
 Loess Fit = 0.1494  Date_of_death = Dec2013 
 Loess Fit = 0.1494  Date_of_death = Nov2013 
 Loess Fit = 0.1825  Date_of_death = Nov2013 
 Loess Fit = 0.1825  Date_of_death = Oct2013 
 Loess Fit = 0.2017  Date_of_death = Oct2013 
 Loess Fit = 0.2017  Date_of_death = Sep2013 
 Loess Fit = 0.2075  Date_of_death = Sep2013 
 Loess Fit = 0.2075  Date_of_death = Aug2013 
 Loess Fit = 0.2133  Date_of_death = Aug2013 
 Loess Fit = 0.2133  Date_of_death = Jul2013 
 Loess Fit = 0.2192  Date_of_death = Jul2013 
 Loess Fit = 0.2192  Date_of_death = May2013 
 Loess Fit = 0.225  Date_of_death = May2013 
 Loess Fit = 0.225  Date_of_death = Apr2013 
 Loess Fit = 0.2308  Date_of_death = Apr2013 
 Loess Fit = 0.2308  Date_of_death = Mar2013 
 Loess Fit = 0.2352  Date_of_death = Mar2013 
 Loess Fit = 0.2352  Date_of_death = Feb2013 
 Loess Fit = 0.2348  Date_of_death = Feb2013 
 Loess Fit = 0.2348  Date_of_death = Jan2013 
 Loess Fit = 0.2344  Date_of_death = Jan2013 
 Loess Fit = 0.2344  Date_of_death = Dec2012 
 Loess Fit = 0.234  Date_of_death = Dec2012 
 Loess Fit = 0.234  Date_of_death = Nov2012 
 Loess Fit = 0.2337  Date_of_death = Nov2012 
 Loess Fit = 0.2337  Date_of_death = Oct2012 
 Loess Fit = 0.2333  Date_of_death = Oct2012 
 Loess Fit = 0.2333  Date_of_death = Aug2012 
 Loess Fit = 0.2327  Date_of_death = Aug2012 
 Loess Fit = 0.2327  Date_of_death = Jul2012 
 Loess Fit = 0.2192  Date_of_death = Jul2012 
 Loess Fit = 0.2192  Date_of_death = Jun2012 
 Loess Fit = 0.2056  Date_of_death = Jun2012 
 Loess Fit = 0.2056  Date_of_death = May2012 
 Loess Fit = 0.192  Date_of_death = May2012 
 Loess Fit = 0.192  Date_of_death = Apr2012 
 Loess Fit = 0.1784  Date_of_death = Apr2012 
 Loess Fit = 0.1784  Date_of_death = Mar2012 
 Loess Fit = 0.1649  Date_of_death = Mar2012 
 Loess Fit = 0.1649  Date_of_death = Feb2012 
 Loess Fit = 0.1513  Date_of_death = Feb2012 
 Loess Fit = 0.1513  Date_of_death = Jan2012 
 Loess Fit = 0.1194  Date_of_death = Jan2012 
 Loess Fit = 0.1194  Date_of_death = Dec2011 
 Loess Fit = 0.0819  Date_of_death = Dec2011 
 Loess Fit = 0.0819  Date_of_death = Oct2011 
 Loess Fit = 0.0443  Date_of_death = Oct2011 
 Loess Fit = 0.0443  Date_of_death = Sep2011 
 Loess Fit = 0.0067  Date_of_death = Sep2011 
 Loess Fit = 0.0067  Date_of_death = Aug2011 
 Loess Fit = -0.031  Date_of_death = Aug2011 
 Loess Fit = -0.031  Date_of_death = Jul2011 
 Loess Fit = -0.068  Date_of_death = Jul2011 
 Loess Fit = -0.068  Date_of_death = Jun2011 
 Loess Fit = -0.098  Date_of_death = Jun2011 
 Loess Fit = -0.098  Date_of_death = May2011 
 Loess Fit = -0.118  Date_of_death = May2011 
 Loess Fit = -0.118  Date_of_death = Apr2011 
 Loess Fit = -0.138  Date_of_death = Apr2011 
 Loess Fit = -0.138  Date_of_death = Mar2011 
 Loess Fit = -0.158  Date_of_death = Mar2011 
 Loess Fit = -0.158  Date_of_death = Jan2011 
 Loess Fit = -0.178  Date_of_death = Jan2011 
 Loess Fit = -0.178  Date_of_death = Dec2010 
 Loess Fit = -0.198  Date_of_death = Dec2010 
 Loess Fit = -0.198  Date_of_death = Nov2010 
 Loess Fit = -0.207  Date_of_death = Nov2010 
 Loess Fit = -0.207  Date_of_death = Oct2010 
 Loess Fit = -0.178  Date_of_death = Oct2010 
 Loess Fit = -0.178  Date_of_death = Sep2010 
 Loess Fit = -0.15  Date_of_death = Sep2010 
 Loess Fit = -0.15  Date_of_death = Aug2010 
 Loess Fit = -0.121  Date_of_death = Aug2010 
 Loess Fit = -0.121  Date_of_death = Jul2010 
 Loess Fit = -0.093  Date_of_death = Jul2010 
 Loess Fit = -0.093  Date_of_death = Jun2010 
 Loess Fit = -0.064  Date_of_death = Jun2010 
 Loess Fit = -0.064  Date_of_death = May2010 
 Loess Fit = -0.036  Date_of_death = May2010 
 Loess Fit = -0.036  Date_of_death = Mar2010 
 Loess Fit = 0.0042  Date_of_death = Mar2010 
 Loess Fit = 0.0042  Date_of_death = Feb2010 
 Loess Fit = 0.0447  Date_of_death = Feb2010 
 Loess Fit = 0.0447  Date_of_death = Jan2010 
 Loess Fit = 0.0852  Date_of_death = Jan2010 
 Loess Fit = 0.0852  Date_of_death = Dec2009 
 Loess Fit = 0.1257  Date_of_death = Dec2009 
 Loess Fit = 0.1257  Date_of_death = Nov2009 
 Loess Fit = 0.1663  Date_of_death = Nov2009 
 Loess Fit = 0.1663  Date_of_death = Oct2009 
 Loess Fit = 0.2068  Date_of_death = Oct2009 
 Loess Fit = 0.2068  Date_of_death = Sep2009 
 Loess Fit = 0.2513  Date_of_death = Sep2009 
 Loess Fit = 0.2513  Date_of_death = Aug2009 
 Loess Fit = 0.2971  Date_of_death = Aug2009 
 Loess Fit = 0.2971  Date_of_death = Jun2009 
 Loess Fit = 0.343  Date_of_death = Jun2009 
 Loess Fit = 0.343  Date_of_death = May2009 
 Loess Fit = 0.3888  Date_of_death = May2009 
 Loess Fit = 0.3888  Date_of_death = Apr2009 
 Loess Fit = 0.4347  Date_of_death = Apr2009 
 Loess Fit = 0.4347  Date_of_death = Mar2009 
 Loess Fit = 0.4805  Date_of_death = Mar2009 
 Loess Fit = 0.4805  Date_of_death = Feb2009 
 Loess Fit = 0.5334  Date_of_death = Feb2009 
 Loess Fit = 0.5334  Date_of_death = Jan2009 
 Loess Fit = 0.5944  Date_of_death = Jan2009 
 Loess Fit = 0.5944  Date_of_death = Dec2008 
 Loess Fit = 0.6555  Date_of_death = Dec2008 
 Loess Fit = 0.6555  Date_of_death = Nov2008 
 Loess Fit = 0.7166  Date_of_death = Nov2008 
 Loess Fit = 0.7166  Date_of_death = Sep2008 
 Loess Fit = 0.7776  Date_of_death = Sep2008 
 Loess Fit = 0.7776  Date_of_death = Aug2008 
 Loess Fit = 0.8387  Date_of_death = Aug2008 
 Loess Fit = 0.8387  Date_of_death = Jul2008 
 Loess Fit = 0.8893  Date_of_death = Jul2008 
 Loess Fit = 0.8893  Date_of_death = Jun2008 
 Loess Fit = 0.9064  Date_of_death = Jun2008 
 Loess Fit = 0.9064  Date_of_death = May2008 
 Loess Fit = 0.9235  Date_of_death = May2008 
 Loess Fit = 0.9235  Date_of_death = Apr2008 
 Loess Fit = 0.9406  Date_of_death = Apr2008 
 Loess Fit = 0.9406  Date_of_death = Mar2008 
 Loess Fit = 0.9577  Date_of_death = Mar2008 
 Loess Fit = 0.9577  Date_of_death = Feb2008 
 Loess Fit = 0.9748  Date_of_death = Feb2008 
 Loess Fit = 0.9748  Date_of_death = Jan2008 
 Loess Fit = 0.9919  Date_of_death = Jan2008 
 Loess Fit = 0.9919  Date_of_death = Nov2007 
 Loess Fit = 0.9115  Date_of_death = Nov2007 
 Loess Fit = 0.9115  Date_of_death = Oct2007 
 Loess Fit = 0.8301  Date_of_death = Oct2007 
 Loess Fit = 0.8301  Date_of_death = Sep2007 
 Loess Fit = 0.7486  Date_of_death = Sep2007 
 Loess Fit = 0.7486  Date_of_death = Aug2007 
 Loess Fit = 0.6672  Date_of_death = Aug2007 
 Loess Fit = 0.6672  Date_of_death = Jul2007 
 Loess Fit = 0.5857  Date_of_death = Jul2007 
 Loess Fit = 0.5857  Date_of_death = Jun2007 
 Loess Fit = 0.5042  Date_of_death = Jun2007 
 Loess Fit = 0.5042  Date_of_death = May2007 
 Loess Fit = 0.4071  Date_of_death = May2007 
 Loess Fit = 0.4071  Date_of_death = Apr2007 
 Loess Fit = 0.3037  Date_of_death = Apr2007 
 Loess Fit = 0.3037  Date_of_death = Feb2007 
 Loess Fit = 0.2002  Date_of_death = Feb2007 
 Loess Fit = 0.2002  Date_of_death = Jan2007 
 Loess Fit = 0.0967  Date_of_death = Jan2007 
 Loess Fit = 0.0967  Date_of_death = Dec2006 
 Loess Fit = -0.007  Date_of_death = Dec2006 
 Loess Fit = -0.007  Date_of_death = Nov2006 
 Loess Fit = -0.11  Date_of_death = Nov2006 
 Loess Fit = -0.11  Date_of_death = Oct2006 
 Loess Fit = -0.202  Date_of_death = Oct2006 
 Loess Fit = -0.202  Date_of_death = Sep2006 
 Loess Fit = -0.281  Date_of_death = Sep2006 
 Loess Fit = -0.281  Date_of_death = Aug2006 
 Loess Fit = -0.359  Date_of_death = Aug2006 
 Loess Fit = -0.359  Date_of_death = Jul2006 
 Loess Fit = -0.438  Date_of_death = Jul2006 
 Loess Fit = -0.438  Date_of_death = May2006 
 Loess Fit = -0.517  Date_of_death = May2006 
 Loess Fit = -0.517  Date_of_death = Apr2006 
 Loess Fit = -0.596  Date_of_death = Apr2006 
 Loess Fit = -0.596  Date_of_death = Mar2006 
 Loess Fit = -0.669  Date_of_death = Mar2006 
 Loess Fit = -0.669  Date_of_death = Feb2006 
 Loess Fit = -0.72  Date_of_death = Feb2006 
 Loess Fit = -0.72  Date_of_death = Jan2006 
 Loess Fit = -0.771  Date_of_death = Jan2006 
 Loess Fit = -0.771  Date_of_death = Dec2005 
 Loess Fit = -0.822  Date_of_death = Dec2005 
 Loess Fit = -0.822  Date_of_death = Nov2005 
 Loess Fit = -0.873  Date_of_death = Nov2005 
 Loess Fit = -0.873  Date_of_death = Oct2005 
 Loess Fit = -0.923  Date_of_death = Oct2005 
 Loess Fit = -0.923  Date_of_death = Sep2005 
 Loess Fit = -0.974  Date_of_death = Sep2005 
 Loess Fit = -0.974  Date_of_death = Jul2005 
 Loess Fit = -0.944  Date_of_death = Jul2005 
 Loess Fit = -0.944  Date_of_death = Jun2005 
 Loess Fit = -0.914  Date_of_death = Jun2005 
 Loess Fit = -0.914  Date_of_death = May2005 
 Loess Fit = -0.883  Date_of_death = May2005 
 Loess Fit = -0.883  Date_of_death = Apr2005 
 Loess Fit = -0.853  Date_of_death = Apr2005 
 Loess Fit = -0.853  Date_of_death = Mar2005 
 Loess Fit = -0.822  Date_of_death = Mar2005 
 Loess Fit = -0.822  Date_of_death = Feb2005 
 Loess Fit = -0.791  Date_of_death = Feb2005 
 Loess Fit = -0.791  Date_of_death = Jan2005 
 Loess Fit = -0.729  Date_of_death = Jan2005 
 Loess Fit = -0.729  Date_of_death = Dec2004 
 Loess Fit = -0.658  Date_of_death = Dec2004 
 Loess Fit = -0.658  Date_of_death = Oct2004 
 Loess Fit = -0.586  Date_of_death = Oct2004 
 Loess Fit = -0.586  Date_of_death = Sep2004 
 Loess Fit = -0.515  Date_of_death = Sep2004 
 Loess Fit = -0.515  Date_of_death = Aug2004 
 Loess Fit = -0.443  Date_of_death = Aug2004 
 Loess Fit = -0.443  Date_of_death = Jul2004 
 Loess Fit = -0.372  Date_of_death = Jul2004 
 Loess Fit = -0.372  Date_of_death = Jun2004 
 Loess Fit = -0.314  Date_of_death = Jun2004 
 Loess Fit = -0.314  Date_of_death = May2004 
 Loess Fit = -0.272  Date_of_death = May2004 
 Loess Fit = -0.272  Date_of_death = Apr2004 
 Loess Fit = -0.23  Date_of_death = Apr2004 
 Loess Fit = -0.23  Date_of_death = Mar2004 
 Loess Fit = -0.187  Date_of_death = Mar2004 
 Loess Fit = -0.187  Date_of_death = Jan2004 
 Loess Fit = -0.145  Date_of_death = Jan2004 
 Loess Fit = -0.145  Date_of_death = Dec2003 
 Loess Fit = -0.103  Date_of_death = Dec2003 
 Loess Fit = -0.103  Date_of_death = Nov2003 
 Loess Fit = -0.073  Date_of_death = Nov2003 
 Loess Fit = -0.073  Date_of_death = Oct2003 
 Loess Fit = -0.084  Date_of_death = Oct2003 
 Loess Fit = -0.084  Date_of_death = Sep2003 
 Loess Fit = -0.096  Date_of_death = Sep2003 
 Loess Fit = -0.096  Date_of_death = Aug2003 
 Loess Fit = -0.107  Date_of_death = Aug2003 
 Loess Fit = -0.107  Date_of_death = Jul2003 
 Loess Fit = -0.118  Date_of_death = Jul2003 
 Loess Fit = -0.118  Date_of_death = Jun2003 
 Loess Fit = -0.13  Date_of_death = Jun2003 
 Loess Fit = -0.13  Date_of_death = May2003 
 Loess Fit = -0.141  Date_of_death = May2003 
 Loess Fit = -0.141  Date_of_death = Mar2003 
 Loess Fit = -0.196  Date_of_death = Mar2003 
 Loess Fit = -0.196  Date_of_death = Feb2003 
 Loess Fit = -0.253  Date_of_death = Feb2003 
 Loess Fit = -0.253  Date_of_death = Jan2003 
 Loess Fit = -0.311  Date_of_death = Jan2003 
 Loess Fit = -0.311  Date_of_death = Dec2002 
 Loess Fit = -0.369  Date_of_death = Dec2002 
 Loess Fit = -0.369  Date_of_death = Nov2002 
 Loess Fit = -0.426  Date_of_death = Nov2002 
 Loess Fit = -0.426  Date_of_death = Oct2002 
 Loess Fit = -0.484  Date_of_death = Oct2002 
 Loess Fit = -0.484  Date_of_death = Sep2002 
 Loess Fit = -0.548  Date_of_death = Sep2002 
 Loess Fit = -0.548  Date_of_death = Aug2002 
 Loess Fit = -0.614  Date_of_death = Aug2002 
 Loess Fit = -0.614  Date_of_death = Jun2002 
 Loess Fit = -0.681  Date_of_death = Jun2002 
 Loess Fit = -0.681  Date_of_death = May2002 
 Loess Fit = -0.748  Date_of_death = May2002 
 Loess Fit = -0.748  Date_of_death = Apr2002 
 Loess Fit = -0.814  Date_of_death = Apr2002 
 Loess Fit = -0.814  Date_of_death = Mar2002 
 Loess Fit = -0.881  Date_of_death = Mar2002 
 Loess Fit = -0.881  Date_of_death = Feb2002 
 Loess Fit = -0.948  Date_of_death = Feb2002 
 Loess Fit = -0.948  Date_of_death = Jan2002 
 Loess Fit = -1.017  Date_of_death = Jan2002 
 Loess Fit = -1.017  Date_of_death = Dec2001 
 Loess Fit = -1.085  Date_of_death = Dec2001 
 Loess Fit = -1.085  Date_of_death = Nov2001 
 Loess Fit = -1.154  Date_of_death = Nov2001 
 Loess Fit = -1.154  Date_of_death = Sep2001 
 Loess Fit = -1.222  Date_of_death = Sep2001 
 Loess Fit = -1.222  Date_of_death = Aug2001 
 Loess Fit = -1.291  Date_of_death = Aug2001 
 Loess Fit = -1.291  Date_of_death = Jul2001 
 Loess Fit = -1.36  Date_of_death = Jul2001 
 Loess Fit = -1.36  Date_of_death = Jun2001 
 Loess Fit = -1.429  Date_of_death = Jun2001 
 Loess Fit = -1.429  Date_of_death = May2001 
 Loess Fit = -1.498  Date_of_death = May2001 
 Loess Fit = -1.498  Date_of_death = Apr2001 
 Loess Fit = -1.567  Date_of_death = Apr2001 
 Loess Fit = -1.567  Date_of_death = Mar2001 
 Loess Fit = -1.636  Date_of_death = Mar2001 
 Loess Fit = -1.636  Date_of_death = Feb2001 
 Loess Fit = -1.705  Date_of_death = Feb2001 
 Loess Fit = -1.705  Date_of_death = Jan2001 
 Loess Fit = -1.774  Date_of_death = Sep2019 
 Prediction Error = -0.737  Date_of_death = Aug2019 
 Prediction Error = -1.895  Date_of_death = Jul2019 
 Prediction Error = 2.2105  Date_of_death = Jun2019 
 Prediction Error = 2.4737  Date_of_death = May2019 
 Prediction Error = 0.1053  Date_of_death = Apr2019 
 Prediction Error = 0.6842  Date_of_death = Mar2019 
 Prediction Error = -1  Date_of_death = Feb2019 
 Prediction Error = 2.7368  Date_of_death = Jan2019 
 Prediction Error = 0.1053  Date_of_death = Dec2018 
 Prediction Error = 1.5  Date_of_death = Nov2018 
 Prediction Error = 0.1667  Date_of_death = Oct2018 
 Prediction Error = -1.667  Date_of_death = Sep2018 
 Prediction Error = -0.778  Date_of_death = Aug2018 
 Prediction Error = 0.1111  Date_of_death = Jul2018 
 Prediction Error = -0.833  Date_of_death = Jun2018 
 Prediction Error = 0.5  Date_of_death = May2018 
 Prediction Error = 0.1111  Date_of_death = Apr2018 
 Prediction Error = -0.333  Date_of_death = Mar2018 
 Prediction Error = 2.1111  Date_of_death = Feb2018 
 Prediction Error = 1.8333  Date_of_death = Jan2018 
 Prediction Error = -2  Date_of_death = Dec2017 
 Prediction Error = -1.588  Date_of_death = Nov2017 
 Prediction Error = 0.1765  Date_of_death = Oct2017 
 Prediction Error = -1.765  Date_of_death = Sep2017 
 Prediction Error = 0.2353  Date_of_death = Aug2017 
 Prediction Error = -2  Date_of_death = Jul2017 
 Prediction Error = 0.1765  Date_of_death = Jun2017 
 Prediction Error = -0.529  Date_of_death = May2017 
 Prediction Error = 2.2353  Date_of_death = Apr2017 
 Prediction Error = -0.353  Date_of_death = Mar2017 
 Prediction Error = -0.941  Date_of_death = Feb2017 
 Prediction Error = 3  Date_of_death = Jan2017 
 Prediction Error = -1.059  Date_of_death = Dec2016 
 Prediction Error = -2.75  Date_of_death = Nov2016 
 Prediction Error = -1.938  Date_of_death = Oct2016 
 Prediction Error = -2.937  Date_of_death = Sep2016 
 Prediction Error = 0.25  Date_of_death = Aug2016 
 Prediction Error = 1.0625  Date_of_death = Jul2016 
 Prediction Error = -1.937  Date_of_death = Jun2016 
 Prediction Error = -1.625  Date_of_death = May2016 
 Prediction Error = 1.3125  Date_of_death = Apr2016 
 Prediction Error = -0.375  Date_of_death = Mar2016 
 Prediction Error = -1  Date_of_death = Feb2016 
 Prediction Error = 1.0625  Date_of_death = Jan2016 
 Prediction Error = -1.125  Date_of_death = Dec2015 
 Prediction Error = -0.8  Date_of_death = Nov2015 
 Prediction Error = -2.067  Date_of_death = Oct2015 
 Prediction Error = 2.2  Date_of_death = Sep2015 
 Prediction Error = 3.4667  Date_of_death = Aug2015 
 Prediction Error = -1  Date_of_death = Jul2015 
 Prediction Error = -1  Date_of_death = Jun2015 
 Prediction Error = -2.8  Date_of_death = May2015 
 Prediction Error = -1.8  Date_of_death = Apr2015 
 Prediction Error = 0.6667  Date_of_death = Mar2015 
 Prediction Error = -1.067  Date_of_death = Feb2015 
 Prediction Error = -2.067  Date_of_death = Jan2015 
 Prediction Error = 0.9333  Date_of_death = Dec2014 
 Prediction Error = -0.857  Date_of_death = Nov2014 
 Prediction Error = 3.1429  Date_of_death = Oct2014 
 Prediction Error = -1.929  Date_of_death = Sep2014 
 Prediction Error = -1.643  Date_of_death = Aug2014 
 Prediction Error = -63E-8  Date_of_death = Jul2014 
 Prediction Error = -2.143  Date_of_death = Jun2014 
 Prediction Error = 2.3571  Date_of_death = May2014 
 Prediction Error = 3.4286  Date_of_death = Apr2014 
 Prediction Error = -0.357  Date_of_death = Mar2014 
 Prediction Error = 2.0714  Date_of_death = Feb2014 
 Prediction Error = -0.071  Date_of_death = Jan2014 
 Prediction Error = -2.214  Date_of_death = Dec2013 
 Prediction Error = -3.077  Date_of_death = Nov2013 
 Prediction Error = -2  Date_of_death = Oct2013 
 Prediction Error = 2.2308  Date_of_death = Sep2013 
 Prediction Error = 0.3846  Date_of_death = Aug2013 
 Prediction Error = 1.0769  Date_of_death = Jul2013 
 Prediction Error = 0.9231  Date_of_death = Jun2013 
 Prediction Error = -1.769  Date_of_death = May2013 
 Prediction Error = 3.6923  Date_of_death = Apr2013 
 Prediction Error = 1.7692  Date_of_death = Mar2013 
 Prediction Error = 0.0769  Date_of_death = Feb2013 
 Prediction Error = -2.231  Date_of_death = Jan2013 
 Prediction Error = 1.9231  Date_of_death = Dec2012 
 Prediction Error = 2.0833  Date_of_death = Nov2012 
 Prediction Error = 3.25  Date_of_death = Oct2012 
 Prediction Error = -1.917  Date_of_death = Sep2012 
 Prediction Error = 1.5  Date_of_death = Aug2012 
 Prediction Error = 3.3333  Date_of_death = Jul2012 
 Prediction Error = -2.25  Date_of_death = Jun2012 
 Prediction Error = -1.917  Date_of_death = May2012 
 Prediction Error = -0.333  Date_of_death = Apr2012 
 Prediction Error = -1.333  Date_of_death = Mar2012 
 Prediction Error = 2.25  Date_of_death = Feb2012 
 Prediction Error = -1.333  Date_of_death = Jan2012 
 Prediction Error = -0.083  Date_of_death = Dec2011 
 Prediction Error = -2.091  Date_of_death = Nov2011 
 Prediction Error = -1.909  Date_of_death = Oct2011 
 Prediction Error = -2.091  Date_of_death = Sep2011 
 Prediction Error = 3.8182  Date_of_death = Aug2011 
 Prediction Error = -0.727  Date_of_death = Jul2011 
 Prediction Error = 1.9091  Date_of_death = Jun2011 
 Prediction Error = 2.2727  Date_of_death = May2011 
 Prediction Error = 0.7273  Date_of_death = Apr2011 
 Prediction Error = 0.7273  Date_of_death = Mar2011 
 Prediction Error = -0.818  Date_of_death = Feb2011 
 Prediction Error = 2.9091  Date_of_death = Jan2011 
 Prediction Error = -2.273  Date_of_death = Dec2010 
 Prediction Error = -3.4  Date_of_death = Nov2010 
 Prediction Error = -2.1  Date_of_death = Oct2010 
 Prediction Error = -1.2  Date_of_death = Sep2010 
 Prediction Error = -0.2  Date_of_death = Aug2010 
 Prediction Error = 3.6  Date_of_death = Jul2010 
 Prediction Error = -2.3  Date_of_death = Jun2010 
 Prediction Error = 2.5  Date_of_death = May2010 
 Prediction Error = -1.4  Date_of_death = Apr2010 
 Prediction Error = -1.4  Date_of_death = Mar2010 
 Prediction Error = 2.4  Date_of_death = Feb2010 
 Prediction Error = -2.3  Date_of_death = Jan2010 
 Prediction Error = -1.4  Date_of_death = Dec2009 
 Prediction Error = -2.667  Date_of_death = Nov2009 
 Prediction Error = -2.333  Date_of_death = Oct2009 
 Prediction Error = 2  Date_of_death = Sep2009 
 Prediction Error = -0.222  Date_of_death = Aug2009 
 Prediction Error = -1.556  Date_of_death = Jul2009 
 Prediction Error = 1.8889  Date_of_death = Jun2009 
 Prediction Error = -1.667  Date_of_death = May2009 
 Prediction Error = -1.556  Date_of_death = Apr2009 
 Prediction Error = 4  Date_of_death = Mar2009 
 Prediction Error = 2.6667  Date_of_death = Feb2009 
 Prediction Error = 3  Date_of_death = Jan2009 
 Prediction Error = 2.8889  Date_of_death = Dec2008 
 Prediction Error = -1.875  Date_of_death = Nov2008 
 Prediction Error = 3  Date_of_death = Oct2008 
 Prediction Error = 2.25  Date_of_death = Sep2008 
 Prediction Error = -1.375  Date_of_death = Aug2008 
 Prediction Error = 3.875  Date_of_death = Jul2008 
 Prediction Error = 2.125  Date_of_death = Jun2008 
 Prediction Error = -1.875  Date_of_death = May2008 
 Prediction Error = 3.875  Date_of_death = Apr2008 
 Prediction Error = 1.125  Date_of_death = Mar2008 
 Prediction Error = -2.625  Date_of_death = Feb2008 
 Prediction Error = 2E-8  Date_of_death = Jan2008 
 Prediction Error = -1.25  Date_of_death = Dec2007 
 Prediction Error = 1.2857  Date_of_death = Nov2007 
 Prediction Error = 1.1429  Date_of_death = Oct2007 
 Prediction Error = 2.5714  Date_of_death = Sep2007 
 Prediction Error = -1.571  Date_of_death = Aug2007 
 Prediction Error = 4.4286  Date_of_death = Jul2007 
 Prediction Error = 2.4286  Date_of_death = Jun2007 
 Prediction Error = 2.4286  Date_of_death = May2007 
 Prediction Error = -0.143  Date_of_death = Apr2007 
 Prediction Error = 0.1429  Date_of_death = Mar2007 
 Prediction Error = 2.7143  Date_of_death = Feb2007 
 Prediction Error = 3.4286  Date_of_death = Jan2007 
 Prediction Error = 3.1429  Date_of_death = Dec2006 
 Prediction Error = 1.5  Date_of_death = Nov2006 
 Prediction Error = -1  Date_of_death = Oct2006 
 Prediction Error = -2.833  Date_of_death = Sep2006 
 Prediction Error = -0.667  Date_of_death = Aug2006 
 Prediction Error = -0.667  Date_of_death = Jul2006 
 Prediction Error = -1.833  Date_of_death = Jun2006 
 Prediction Error = -3  Date_of_death = May2006 
 Prediction Error = -1.333  Date_of_death = Apr2006 
 Prediction Error = 0.1667  Date_of_death = Mar2006 
 Prediction Error = -1.5  Date_of_death = Feb2006 
 Prediction Error = -1.833  Date_of_death = Jan2006 
 Prediction Error = -2.167  Date_of_death = Dec2005 
 Prediction Error = -4.2  Date_of_death = Nov2005 
 Prediction Error = -2.4  Date_of_death = Oct2005 
 Prediction Error = -2.2  Date_of_death = Sep2005 
 Prediction Error = -2  Date_of_death = Aug2005 
 Prediction Error = -0.8  Date_of_death = Jul2005 
 Prediction Error = -2.2  Date_of_death = Jun2005 
 Prediction Error = -2.4  Date_of_death = May2005 
 Prediction Error = -1.6  Date_of_death = Apr2005 
 Prediction Error = -1  Date_of_death = Mar2005 
 Prediction Error = 3  Date_of_death = Feb2005 
 Prediction Error = -2.2  Date_of_death = Jan2005 
 Prediction Error = -2.6  Date_of_death = Dec2004 
 Prediction Error = 1  Date_of_death = Nov2004 
 Prediction Error = -0.5  Date_of_death = Oct2004 
 Prediction Error = 2.25  Date_of_death = Sep2004 
 Prediction Error = -2.5  Date_of_death = Aug2004 
 Prediction Error = 0.25  Date_of_death = Jul2004 
 Prediction Error = -4  Date_of_death = Jun2004 
 Prediction Error = 2  Date_of_death = May2004 
 Prediction Error = 0.5  Date_of_death = Apr2004 
 Prediction Error = 3.75  Date_of_death = Mar2004 
 Prediction Error = 1.2E-8  Date_of_death = Feb2004 
 Prediction Error = -2.75  Date_of_death = Jan2004 
 Prediction Error = -3.25  Date_of_death = Dec2003 
 Prediction Error = 1.3333  Date_of_death = Nov2003 
 Prediction Error = 3.3333  Date_of_death = Oct2003 
 Prediction Error = 3  Date_of_death = Sep2003 
 Prediction Error = 3.3333  Date_of_death = Aug2003 
 Prediction Error = 1.6667  Date_of_death = Jul2003 
 Prediction Error = 1.3333  Date_of_death = Jun2003 
 Prediction Error = -4  Date_of_death = May2003 
 Prediction Error = -2  Date_of_death = Apr2003 
 Prediction Error = 1  Date_of_death = Mar2003 
 Prediction Error = -1.333  Date_of_death = Feb2003 
 Prediction Error = -2.333  Date_of_death = Jan2003 
 Prediction Error = 2.3333  Date_of_death = Dec2002 
 Prediction Error = 2  Date_of_death = Nov2002 
 Prediction Error = -2.5  Date_of_death = Oct2002 
 Prediction Error = -1.5  Date_of_death = Sep2002 
 Prediction Error = -2.5  Date_of_death = Aug2002 
 Prediction Error = -0.5  Date_of_death = Jul2002 
 Prediction Error = 2  Date_of_death = Jun2002 
 Prediction Error = 1.5  Date_of_death = May2002 
 Prediction Error = -1.5  Date_of_death = Apr2002 
 Prediction Error = -51E-9  Date_of_death = Mar2002 
 Prediction Error = -3.5  Date_of_death = Feb2002 
 Prediction Error = 2.5  Date_of_death = Jan2002 
 Prediction Error = -4  Date_of_death = Dec2001 
 Prediction Error = -4  Date_of_death = Nov2001 
 Prediction Error = -5  Date_of_death = Oct2001 
 Prediction Error = 5  Date_of_death = Sep2001 
 Prediction Error = -5  Date_of_death = Aug2001 
 Prediction Error = 1  Date_of_death = Jul2001 
 Prediction Error = 4  Date_of_death = Jun2001 
 Prediction Error = -3  Date_of_death = May2001 
 Prediction Error = -5  Date_of_death = Apr2001 
 Prediction Error = -16E-9  Date_of_death = Mar2001 
 Prediction Error = -3  Date_of_death = Feb2001 
 Prediction Error = -5  Date_of_death = Jan2001 
 Prediction Error = 2  Date_of_death = Sep2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Aug2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Aug2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jul2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jul2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jun2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jun2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = May2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = May2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Apr2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Apr2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Mar2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Mar2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Feb2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Feb2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jan2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Jan2019 
 2*STD = 4.0614 
 -2*STD = -4.061  Date_of_death = Dec2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Dec2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Nov2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Nov2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Oct2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Oct2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Sep2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Sep2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Aug2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Aug2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jul2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jul2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jun2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jun2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = May2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = May2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Apr2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Apr2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Mar2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Mar2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Feb2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Feb2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jan2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Jan2018 
 2*STD = 4.067 
 -2*STD = -4.067  Date_of_death = Dec2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Dec2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Nov2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Nov2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Oct2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Oct2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Sep2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Sep2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Aug2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Aug2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jul2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jul2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jun2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jun2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = May2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = May2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Apr2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Apr2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Mar2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Mar2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Feb2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Feb2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jan2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Jan2017 
 2*STD = 4.0733 
 -2*STD = -4.073  Date_of_death = Dec2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Dec2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Nov2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Nov2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Oct2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Oct2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Sep2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Sep2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Aug2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Aug2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jul2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jul2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jun2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jun2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = May2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = May2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Apr2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Apr2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Mar2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Mar2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Feb2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Feb2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jan2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Jan2016 
 2*STD = 4.0804 
 -2*STD = -4.08  Date_of_death = Dec2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Dec2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Nov2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Nov2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Oct2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Oct2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Sep2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Sep2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Aug2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Aug2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jul2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jul2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jun2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jun2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = May2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = May2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Apr2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Apr2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Mar2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Mar2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Feb2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Feb2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jan2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Jan2015 
 2*STD = 4.0884 
 -2*STD = -4.088  Date_of_death = Dec2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Dec2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Nov2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Nov2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Oct2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Oct2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Sep2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Sep2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Aug2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Aug2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jul2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jul2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jun2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jun2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = May2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = May2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Apr2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Apr2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Mar2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Mar2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Feb2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Feb2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jan2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Jan2014 
 2*STD = 4.0975 
 -2*STD = -4.097  Date_of_death = Dec2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Dec2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Nov2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Nov2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Oct2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Oct2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Sep2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Sep2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Aug2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Aug2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jul2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jul2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jun2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jun2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = May2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = May2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Apr2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Apr2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Mar2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Mar2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Feb2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Feb2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jan2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Jan2013 
 2*STD = 4.108 
 -2*STD = -4.108  Date_of_death = Dec2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Dec2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Nov2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Nov2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Oct2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Oct2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Sep2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Sep2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Aug2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Aug2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jul2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jul2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jun2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jun2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = May2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = May2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Apr2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Apr2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Mar2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Mar2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Feb2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Feb2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jan2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Jan2012 
 2*STD = 4.1202 
 -2*STD = -4.12  Date_of_death = Dec2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Dec2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Nov2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Nov2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Oct2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Oct2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Sep2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Sep2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Aug2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Aug2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jul2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jul2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jun2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jun2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = May2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = May2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Apr2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Apr2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Mar2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Mar2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Feb2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Feb2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jan2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Jan2011 
 2*STD = 4.1346 
 -2*STD = -4.135  Date_of_death = Dec2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Dec2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Nov2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Nov2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Oct2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Oct2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Sep2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Sep2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Aug2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Aug2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jul2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jul2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jun2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jun2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = May2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = May2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Apr2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Apr2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Mar2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Mar2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Feb2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Feb2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jan2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Jan2010 
 2*STD = 4.1518 
 -2*STD = -4.152  Date_of_death = Dec2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Dec2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Nov2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Nov2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Oct2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Oct2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Sep2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Sep2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Aug2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Aug2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jul2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jul2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jun2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jun2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = May2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = May2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Apr2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Apr2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Mar2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Mar2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Feb2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Feb2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jan2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Jan2009 
 2*STD = 4.1727 
 -2*STD = -4.173  Date_of_death = Dec2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Dec2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Nov2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Nov2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Oct2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Oct2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Sep2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Sep2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Aug2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Aug2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jul2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jul2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jun2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jun2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = May2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = May2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Apr2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Apr2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Mar2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Mar2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Feb2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Feb2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jan2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Jan2008 
 2*STD = 4.1987 
 -2*STD = -4.199  Date_of_death = Dec2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Dec2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Nov2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Nov2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Oct2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Oct2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Sep2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Sep2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Aug2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Aug2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jul2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jul2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jun2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jun2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = May2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = May2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Apr2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Apr2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Mar2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Mar2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Feb2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Feb2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jan2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Jan2007 
 2*STD = 4.2319 
 -2*STD = -4.232  Date_of_death = Dec2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Dec2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Nov2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Nov2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Oct2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Oct2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Sep2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Sep2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Aug2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Aug2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jul2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jul2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jun2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jun2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = May2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = May2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Apr2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Apr2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Mar2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Mar2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Feb2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Feb2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jan2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Jan2006 
 2*STD = 4.2757 
 -2*STD = -4.276  Date_of_death = Dec2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Dec2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Nov2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Nov2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Oct2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Oct2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Sep2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Sep2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Aug2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Aug2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jul2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jul2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jun2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jun2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = May2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = May2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Apr2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Apr2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Mar2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Mar2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Feb2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Feb2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jan2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Jan2005 
 2*STD = 4.3364 
 -2*STD = -4.336  Date_of_death = Dec2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Dec2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Nov2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Nov2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Oct2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Oct2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Sep2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Sep2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Aug2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Aug2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jul2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jul2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jun2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jun2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = May2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = May2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Apr2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Apr2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Mar2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Mar2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Feb2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Feb2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jan2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Jan2004 
 2*STD = 4.4258 
 -2*STD = -4.426  Date_of_death = Dec2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Dec2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Nov2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Nov2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Oct2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Oct2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Sep2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Sep2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Aug2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Aug2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jul2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jul2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jun2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jun2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = May2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = May2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Apr2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Apr2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Mar2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Mar2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Feb2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Feb2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jan2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Jan2003 
 2*STD = 4.5709 
 -2*STD = -4.571  Date_of_death = Dec2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Dec2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Nov2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Nov2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Oct2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Oct2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Sep2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Sep2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Aug2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Aug2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jul2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jul2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jun2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jun2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = May2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = May2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Apr2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Apr2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Mar2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Mar2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Feb2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Feb2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jan2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Jan2002 
 2*STD = 4.8482 
 -2*STD = -4.848  Date_of_death = Dec2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Dec2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Nov2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Nov2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Oct2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Oct2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Sep2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Sep2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Aug2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Aug2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Jul2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Jul2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Jun2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Jun2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = May2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = May2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Apr2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Apr2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Mar2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Mar2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Feb2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Feb2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Date_of_death = Jan2001 
 2*STD = 5.5982 
 -2*STD = -5.598  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 OCT2019 3.578947 2.03069 -0.401129 7.559022
239 NOV2019 2.842106 2.03069 -1.137970 6.822181
240 DEC2019 3.578947 2.03069 -0.401128 7.559022
241 JAN2020 2.900000 2.02815 -1.075098 6.875097
242 FEB2020 3.400001 2.02815 -0.575096 7.375098
243 MAR2020 3.950000 2.02815 -0.025097 7.925097
244 APR2020 2.350000 2.02815 -1.625097 6.325097
245 MAY2020 2.900001 2.02815 -1.075097 6.875098
246 JUN2020 3.650000 2.02815 -0.325097 7.625097
247 JUL2020 3.900000 2.02815 -0.075097 7.875097
248 AUG2020 2.800000 2.02815 -1.175097 6.775097
249 SEP2020 2.700000 2.02815 -1.275097 6.675098

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 2.7000  Date_of_death = Aug2020 
 Forecast = 2.8000  Date_of_death = Aug2020 
 Forecast = 2.8000  Date_of_death = Jul2020 
 Forecast = 3.9000  Date_of_death = Jul2020 
 Forecast = 3.9000  Date_of_death = Jun2020 
 Forecast = 3.6500  Date_of_death = Jun2020 
 Forecast = 3.6500  Date_of_death = May2020 
 Forecast = 2.9000  Date_of_death = May2020 
 Forecast = 2.9000  Date_of_death = Apr2020 
 Forecast = 2.3500  Date_of_death = Apr2020 
 Forecast = 2.3500  Date_of_death = Mar2020 
 Forecast = 3.9500  Date_of_death = Mar2020 
 Forecast = 3.9500  Date_of_death = Feb2020 
 Forecast = 3.4000  Date_of_death = Feb2020 
 Forecast = 3.4000  Date_of_death = Jan2020 
 Forecast = 2.9000  Date_of_death = Jan2020 
 Forecast = 2.9000  Date_of_death = Dec2019 
 Forecast = 3.5789  Date_of_death = Dec2019 
 Forecast = 3.5789  Date_of_death = Nov2019 
 Forecast = 2.8421  Date_of_death = Nov2019 
 Forecast = 2.8421  Date_of_death = Oct2019 
 Forecast = 3.5789  Date_of_death = Sep2020 
 Upper 95% = 6.6751 
 Lower 95% = -1.2751  Date_of_death = Aug2020 
 Upper 95% = 6.7751 
 Lower 95% = -1.1751  Date_of_death = Aug2020 
 Upper 95% = 6.7751 
 Lower 95% = -1.1751  Date_of_death = Jul2020 
 Upper 95% = 7.8751 
 Lower 95% = -0.0751  Date_of_death = Jul2020 
 Upper 95% = 7.8751 
 Lower 95% = -0.0751  Date_of_death = Jun2020 
 Upper 95% = 7.6251 
 Lower 95% = -0.3251  Date_of_death = Jun2020 
 Upper 95% = 7.6251 
 Lower 95% = -0.3251  Date_of_death = May2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = May2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Apr2020 
 Upper 95% = 6.3251 
 Lower 95% = -1.6251  Date_of_death = Apr2020 
 Upper 95% = 6.3251 
 Lower 95% = -1.6251  Date_of_death = Mar2020 
 Upper 95% = 7.9251 
 Lower 95% = -0.0251  Date_of_death = Mar2020 
 Upper 95% = 7.9251 
 Lower 95% = -0.0251  Date_of_death = Feb2020 
 Upper 95% = 7.3751 
 Lower 95% = -0.5751  Date_of_death = Feb2020 
 Upper 95% = 7.3751 
 Lower 95% = -0.5751  Date_of_death = Jan2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Jan2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Dec2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011  Date_of_death = Dec2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011  Date_of_death = Nov2019 
 Upper 95% = 6.8222 
 Lower 95% = -1.1380  Date_of_death = Nov2019 
 Upper 95% = 6.8222 
 Lower 95% = -1.1380  Date_of_death = Oct2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 2.7000  Date_of_death = Aug2020 
 Forecast = 2.8000  Date_of_death = Aug2020 
 Forecast = 2.8000  Date_of_death = Jul2020 
 Forecast = 3.9000  Date_of_death = Jul2020 
 Forecast = 3.9000  Date_of_death = Jun2020 
 Forecast = 3.6500  Date_of_death = Jun2020 
 Forecast = 3.6500  Date_of_death = May2020 
 Forecast = 2.9000  Date_of_death = May2020 
 Forecast = 2.9000  Date_of_death = Apr2020 
 Forecast = 2.3500  Date_of_death = Apr2020 
 Forecast = 2.3500  Date_of_death = Mar2020 
 Forecast = 3.9500  Date_of_death = Mar2020 
 Forecast = 3.9500  Date_of_death = Feb2020 
 Forecast = 3.4000  Date_of_death = Feb2020 
 Forecast = 3.4000  Date_of_death = Jan2020 
 Forecast = 2.9000  Date_of_death = Jan2020 
 Forecast = 2.9000  Date_of_death = Dec2019 
 Forecast = 3.5789  Date_of_death = Dec2019 
 Forecast = 3.5789  Date_of_death = Nov2019 
 Forecast = 2.8421  Date_of_death = Nov2019 
 Forecast = 2.8421  Date_of_death = Oct2019 
 Forecast = 3.5789  Date_of_death = Oct2019 
 Forecast = 3.5789  Date_of_death = Sep2019 
 Forecast = 2.7368  Date_of_death = Sep2019 
 Forecast = 2.7368  Date_of_death = Aug2019 
 Forecast = 2.8947  Date_of_death = Aug2019 
 Forecast = 2.8947  Date_of_death = Jul2019 
 Forecast = 3.7895  Date_of_death = Jul2019 
 Forecast = 3.7895  Date_of_death = Jun2019 
 Forecast = 3.5263  Date_of_death = Jun2019 
 Forecast = 3.5263  Date_of_death = May2019 
 Forecast = 2.8947  Date_of_death = May2019 
 Forecast = 2.8947  Date_of_death = Apr2019 
 Forecast = 2.3158  Date_of_death = Apr2019 
 Forecast = 2.3158  Date_of_death = Mar2019 
 Forecast = 4.0000  Date_of_death = Mar2019 
 Forecast = 4.0000  Date_of_death = Feb2019 
 Forecast = 3.2632  Date_of_death = Feb2019 
 Forecast = 3.2632  Date_of_death = Jan2019 
 Forecast = 2.8947  Date_of_death = Jan2019 
 Forecast = 2.8947  Date_of_death = Dec2018 
 Forecast = 3.5000  Date_of_death = Dec2018 
 Forecast = 3.5000  Date_of_death = Nov2018 
 Forecast = 2.8333  Date_of_death = Nov2018 
 Forecast = 2.8333  Date_of_death = Oct2018 
 Forecast = 3.6667  Date_of_death = Oct2018 
 Forecast = 3.6667  Date_of_death = Sep2018 
 Forecast = 2.7778  Date_of_death = Sep2018 
 Forecast = 2.7778  Date_of_death = Aug2018 
 Forecast = 2.8889  Date_of_death = Aug2018 
 Forecast = 2.8889  Date_of_death = Jul2018 
 Forecast = 3.8333  Date_of_death = Jul2018 
 Forecast = 3.8333  Date_of_death = Jun2018 
 Forecast = 3.5000  Date_of_death = Jun2018 
 Forecast = 3.5000  Date_of_death = May2018 
 Forecast = 2.8889  Date_of_death = May2018 
 Forecast = 2.8889  Date_of_death = Apr2018 
 Forecast = 2.3333  Date_of_death = Apr2018 
 Forecast = 2.3333  Date_of_death = Mar2018 
 Forecast = 3.8889  Date_of_death = Mar2018 
 Forecast = 3.8889  Date_of_death = Feb2018 
 Forecast = 3.1667  Date_of_death = Feb2018 
 Forecast = 3.1667  Date_of_death = Jan2018 
 Forecast = 3.0000  Date_of_death = Jan2018 
 Forecast = 3.0000  Date_of_death = Dec2017 
 Forecast = 3.5882  Date_of_death = Dec2017 
 Forecast = 3.5882  Date_of_death = Nov2017 
 Forecast = 2.8235  Date_of_death = Nov2017 
 Forecast = 2.8235  Date_of_death = Oct2017 
 Forecast = 3.7647  Date_of_death = Oct2017 
 Forecast = 3.7647  Date_of_death = Sep2017 
 Forecast = 2.7647  Date_of_death = Sep2017 
 Forecast = 2.7647  Date_of_death = Aug2017 
 Forecast = 3.0000  Date_of_death = Aug2017 
 Forecast = 3.0000  Date_of_death = Jul2017 
 Forecast = 3.8235  Date_of_death = Jul2017 
 Forecast = 3.8235  Date_of_death = Jun2017 
 Forecast = 3.5294  Date_of_death = Jun2017 
 Forecast = 3.5294  Date_of_death = May2017 
 Forecast = 2.7647  Date_of_death = May2017 
 Forecast = 2.7647  Date_of_death = Apr2017 
 Forecast = 2.3529  Date_of_death = Apr2017 
 Forecast = 2.3529  Date_of_death = Mar2017 
 Forecast = 3.9412  Date_of_death = Mar2017 
 Forecast = 3.9412  Date_of_death = Feb2017 
 Forecast = 3.0000  Date_of_death = Feb2017 
 Forecast = 3.0000  Date_of_death = Jan2017 
 Forecast = 3.0588  Date_of_death = Jan2017 
 Forecast = 3.0588  Date_of_death = Dec2016 
 Forecast = 3.7500  Date_of_death = Dec2016 
 Forecast = 3.7500  Date_of_death = Nov2016 
 Forecast = 2.9375  Date_of_death = Nov2016 
 Forecast = 2.9375  Date_of_death = Oct2016 
 Forecast = 3.9375  Date_of_death = Oct2016 
 Forecast = 3.9375  Date_of_death = Sep2016 
 Forecast = 2.7500  Date_of_death = Sep2016 
 Forecast = 2.7500  Date_of_death = Aug2016 
 Forecast = 2.9375  Date_of_death = Aug2016 
 Forecast = 2.9375  Date_of_death = Jul2016 
 Forecast = 3.9375  Date_of_death = Jul2016 
 Forecast = 3.9375  Date_of_death = Jun2016 
 Forecast = 3.6250  Date_of_death = Jun2016 
 Forecast = 3.6250  Date_of_death = May2016 
 Forecast = 2.6875  Date_of_death = May2016 
 Forecast = 2.6875  Date_of_death = Apr2016 
 Forecast = 2.3750  Date_of_death = Apr2016 
 Forecast = 2.3750  Date_of_death = Mar2016 
 Forecast = 4.0000  Date_of_death = Mar2016 
 Forecast = 4.0000  Date_of_death = Feb2016 
 Forecast = 2.9375  Date_of_death = Feb2016 
 Forecast = 2.9375  Date_of_death = Jan2016 
 Forecast = 3.1250  Date_of_death = Jan2016 
 Forecast = 3.1250  Date_of_death = Dec2015 
 Forecast = 3.8000  Date_of_death = Dec2015 
 Forecast = 3.8000  Date_of_death = Nov2015 
 Forecast = 3.0667  Date_of_death = Nov2015 
 Forecast = 3.0667  Date_of_death = Oct2015 
 Forecast = 3.8000  Date_of_death = Oct2015 
 Forecast = 3.8000  Date_of_death = Sep2015 
 Forecast = 2.5333  Date_of_death = Sep2015 
 Forecast = 2.5333  Date_of_death = Aug2015 
 Forecast = 3.0000  Date_of_death = Aug2015 
 Forecast = 3.0000  Date_of_death = Jul2015 
 Forecast = 4.0000  Date_of_death = Jul2015 
 Forecast = 4.0000  Date_of_death = Jun2015 
 Forecast = 3.8000  Date_of_death = Jun2015 
 Forecast = 3.8000  Date_of_death = May2015 
 Forecast = 2.8000  Date_of_death = May2015 
 Forecast = 2.8000  Date_of_death = Apr2015 
 Forecast = 2.3333  Date_of_death = Apr2015 
 Forecast = 2.3333  Date_of_death = Mar2015 
 Forecast = 4.0667  Date_of_death = Mar2015 
 Forecast = 4.0667  Date_of_death = Feb2015 
 Forecast = 3.0667  Date_of_death = Feb2015 
 Forecast = 3.0667  Date_of_death = Jan2015 
 Forecast = 3.0667  Date_of_death = Jan2015 
 Forecast = 3.0667  Date_of_death = Dec2014 
 Forecast = 3.8571  Date_of_death = Dec2014 
 Forecast = 3.8571  Date_of_death = Nov2014 
 Forecast = 2.8571  Date_of_death = Nov2014 
 Forecast = 2.8571  Date_of_death = Oct2014 
 Forecast = 3.9286  Date_of_death = Oct2014 
 Forecast = 3.9286  Date_of_death = Sep2014 
 Forecast = 2.6429  Date_of_death = Sep2014 
 Forecast = 2.6429  Date_of_death = Aug2014 
 Forecast = 3.0000  Date_of_death = Aug2014 
 Forecast = 3.0000  Date_of_death = Jul2014 
 Forecast = 4.1429  Date_of_death = Jul2014 
 Forecast = 4.1429  Date_of_death = Jun2014 
 Forecast = 3.6429  Date_of_death = Jun2014 
 Forecast = 3.6429  Date_of_death = May2014 
 Forecast = 2.5714  Date_of_death = May2014 
 Forecast = 2.5714  Date_of_death = Apr2014 
 Forecast = 2.3571  Date_of_death = Apr2014 
 Forecast = 2.3571  Date_of_death = Mar2014 
 Forecast = 3.9286  Date_of_death = Mar2014 
 Forecast = 3.9286  Date_of_death = Feb2014 
 Forecast = 3.0714  Date_of_death = Feb2014 
 Forecast = 3.0714  Date_of_death = Jan2014 
 Forecast = 3.2143  Date_of_death = Jan2014 
 Forecast = 3.2143  Date_of_death = Dec2013 
 Forecast = 4.0769  Date_of_death = Dec2013 
 Forecast = 4.0769  Date_of_death = Nov2013 
 Forecast = 3.0000  Date_of_death = Nov2013 
 Forecast = 3.0000  Date_of_death = Oct2013 
 Forecast = 3.7692  Date_of_death = Oct2013 
 Forecast = 3.7692  Date_of_death = Sep2013 
 Forecast = 2.6154  Date_of_death = Sep2013 
 Forecast = 2.6154  Date_of_death = Aug2013 
 Forecast = 2.9231  Date_of_death = Aug2013 
 Forecast = 2.9231  Date_of_death = Jul2013 
 Forecast = 4.0769  Date_of_death = Jul2013 
 Forecast = 4.0769  Date_of_death = Jun2013 
 Forecast = 3.7692  Date_of_death = Jun2013 
 Forecast = 3.7692  Date_of_death = May2013 
 Forecast = 2.3077  Date_of_death = May2013 
 Forecast = 2.3077  Date_of_death = Apr2013 
 Forecast = 2.2308  Date_of_death = Apr2013 
 Forecast = 2.2308  Date_of_death = Mar2013 
 Forecast = 3.9231  Date_of_death = Mar2013 
 Forecast = 3.9231  Date_of_death = Feb2013 
 Forecast = 3.2308  Date_of_death = Feb2013 
 Forecast = 3.2308  Date_of_death = Jan2013 
 Forecast = 3.0769  Date_of_death = Jan2013 
 Forecast = 3.0769  Date_of_death = Dec2012 
 Forecast = 3.9167  Date_of_death = Dec2012 
 Forecast = 3.9167  Date_of_death = Nov2012 
 Forecast = 2.7500  Date_of_death = Nov2012 
 Forecast = 2.7500  Date_of_death = Oct2012 
 Forecast = 3.9167  Date_of_death = Oct2012 
 Forecast = 3.9167  Date_of_death = Sep2012 
 Forecast = 2.5000  Date_of_death = Sep2012 
 Forecast = 2.5000  Date_of_death = Aug2012 
 Forecast = 2.6667  Date_of_death = Aug2012 
 Forecast = 2.6667  Date_of_death = Jul2012 
 Forecast = 4.2500  Date_of_death = Jul2012 
 Forecast = 4.2500  Date_of_death = Jun2012 
 Forecast = 3.9167  Date_of_death = Jun2012 
 Forecast = 3.9167  Date_of_death = May2012 
 Forecast = 2.3333  Date_of_death = May2012 
 Forecast = 2.3333  Date_of_death = Apr2012 
 Forecast = 2.3333  Date_of_death = Apr2012 
 Forecast = 2.3333  Date_of_death = Mar2012 
 Forecast = 3.7500  Date_of_death = Mar2012 
 Forecast = 3.7500  Date_of_death = Feb2012 
 Forecast = 3.3333  Date_of_death = Feb2012 
 Forecast = 3.3333  Date_of_death = Jan2012 
 Forecast = 3.0833  Date_of_death = Jan2012 
 Forecast = 3.0833  Date_of_death = Dec2011 
 Forecast = 4.0909  Date_of_death = Dec2011 
 Forecast = 4.0909  Date_of_death = Nov2011 
 Forecast = 2.9091  Date_of_death = Nov2011 
 Forecast = 2.9091  Date_of_death = Oct2011 
 Forecast = 4.0909  Date_of_death = Oct2011 
 Forecast = 4.0909  Date_of_death = Sep2011 
 Forecast = 2.1818  Date_of_death = Sep2011 
 Forecast = 2.1818  Date_of_death = Aug2011 
 Forecast = 2.7273  Date_of_death = Aug2011 
 Forecast = 2.7273  Date_of_death = Jul2011 
 Forecast = 4.0909  Date_of_death = Jul2011 
 Forecast = 4.0909  Date_of_death = Jun2011 
 Forecast = 3.7273  Date_of_death = Jun2011 
 Forecast = 3.7273  Date_of_death = May2011 
 Forecast = 2.2727  Date_of_death = May2011 
 Forecast = 2.2727  Date_of_death = Apr2011 
 Forecast = 2.2727  Date_of_death = Apr2011 
 Forecast = 2.2727  Date_of_death = Mar2011 
 Forecast = 3.8182  Date_of_death = Mar2011 
 Forecast = 3.8182  Date_of_death = Feb2011 
 Forecast = 3.0909  Date_of_death = Feb2011 
 Forecast = 3.0909  Date_of_death = Jan2011 
 Forecast = 3.2727  Date_of_death = Jan2011 
 Forecast = 3.2727  Date_of_death = Dec2010 
 Forecast = 4.4000  Date_of_death = Dec2010 
 Forecast = 4.4000  Date_of_death = Nov2010 
 Forecast = 3.1000  Date_of_death = Nov2010 
 Forecast = 3.1000  Date_of_death = Oct2010 
 Forecast = 4.2000  Date_of_death = Oct2010 
 Forecast = 4.2000  Date_of_death = Sep2010 
 Forecast = 2.2000  Date_of_death = Sep2010 
 Forecast = 2.2000  Date_of_death = Aug2010 
 Forecast = 2.4000  Date_of_death = Aug2010 
 Forecast = 2.4000  Date_of_death = Jul2010 
 Forecast = 4.3000  Date_of_death = Jul2010 
 Forecast = 4.3000  Date_of_death = Jun2010 
 Forecast = 3.5000  Date_of_death = Jun2010 
 Forecast = 3.5000  Date_of_death = May2010 
 Forecast = 2.4000  Date_of_death = May2010 
 Forecast = 2.4000  Date_of_death = Apr2010 
 Forecast = 2.4000  Date_of_death = Apr2010 
 Forecast = 2.4000  Date_of_death = Mar2010 
 Forecast = 3.6000  Date_of_death = Mar2010 
 Forecast = 3.6000  Date_of_death = Feb2010 
 Forecast = 3.3000  Date_of_death = Feb2010 
 Forecast = 3.3000  Date_of_death = Jan2010 
 Forecast = 3.4000  Date_of_death = Jan2010 
 Forecast = 3.4000  Date_of_death = Dec2009 
 Forecast = 4.6667  Date_of_death = Dec2009 
 Forecast = 4.6667  Date_of_death = Nov2009 
 Forecast = 3.3333  Date_of_death = Nov2009 
 Forecast = 3.3333  Date_of_death = Oct2009 
 Forecast = 4.0000  Date_of_death = Oct2009 
 Forecast = 4.0000  Date_of_death = Sep2009 
 Forecast = 2.2222  Date_of_death = Sep2009 
 Forecast = 2.2222  Date_of_death = Aug2009 
 Forecast = 2.5556  Date_of_death = Aug2009 
 Forecast = 2.5556  Date_of_death = Jul2009 
 Forecast = 4.1111  Date_of_death = Jul2009 
 Forecast = 4.1111  Date_of_death = Jun2009 
 Forecast = 3.6667  Date_of_death = Jun2009 
 Forecast = 3.6667  Date_of_death = May2009 
 Forecast = 2.5556  Date_of_death = May2009 
 Forecast = 2.5556  Date_of_death = Apr2009 
 Forecast = 2.0000  Date_of_death = Apr2009 
 Forecast = 2.0000  Date_of_death = Mar2009 
 Forecast = 3.3333  Date_of_death = Mar2009 
 Forecast = 3.3333  Date_of_death = Feb2009 
 Forecast = 3.0000  Date_of_death = Feb2009 
 Forecast = 3.0000  Date_of_death = Jan2009 
 Forecast = 3.1111  Date_of_death = Jan2009 
 Forecast = 3.1111  Date_of_death = Dec2008 
 Forecast = 4.8750  Date_of_death = Dec2008 
 Forecast = 4.8750  Date_of_death = Nov2008 
 Forecast = 3.0000  Date_of_death = Nov2008 
 Forecast = 3.0000  Date_of_death = Oct2008 
 Forecast = 3.7500  Date_of_death = Oct2008 
 Forecast = 3.7500  Date_of_death = Sep2008 
 Forecast = 2.3750  Date_of_death = Sep2008 
 Forecast = 2.3750  Date_of_death = Aug2008 
 Forecast = 2.1250  Date_of_death = Aug2008 
 Forecast = 2.1250  Date_of_death = Jul2008 
 Forecast = 3.8750  Date_of_death = Jul2008 
 Forecast = 3.8750  Date_of_death = Jun2008 
 Forecast = 3.8750  Date_of_death = Jun2008 
 Forecast = 3.8750  Date_of_death = May2008 
 Forecast = 2.1250  Date_of_death = May2008 
 Forecast = 2.1250  Date_of_death = Apr2008 
 Forecast = 1.8750  Date_of_death = Apr2008 
 Forecast = 1.8750  Date_of_death = Mar2008 
 Forecast = 3.6250  Date_of_death = Mar2008 
 Forecast = 3.6250  Date_of_death = Feb2008 
 Forecast = 3.0000  Date_of_death = Feb2008 
 Forecast = 3.0000  Date_of_death = Jan2008 
 Forecast = 3.2500  Date_of_death = Jan2008 
 Forecast = 3.2500  Date_of_death = Dec2007 
 Forecast = 4.7143  Date_of_death = Dec2007 
 Forecast = 4.7143  Date_of_death = Nov2007 
 Forecast = 2.8571  Date_of_death = Nov2007 
 Forecast = 2.8571  Date_of_death = Oct2007 
 Forecast = 3.4286  Date_of_death = Oct2007 
 Forecast = 3.4286  Date_of_death = Sep2007 
 Forecast = 2.5714  Date_of_death = Sep2007 
 Forecast = 2.5714  Date_of_death = Aug2007 
 Forecast = 1.5714  Date_of_death = Aug2007 
 Forecast = 1.5714  Date_of_death = Jul2007 
 Forecast = 3.5714  Date_of_death = Jul2007 
 Forecast = 3.5714  Date_of_death = Jun2007 
 Forecast = 3.5714  Date_of_death = Jun2007 
 Forecast = 3.5714  Date_of_death = May2007 
 Forecast = 2.1429  Date_of_death = May2007 
 Forecast = 2.1429  Date_of_death = Apr2007 
 Forecast = 1.8571  Date_of_death = Apr2007 
 Forecast = 1.8571  Date_of_death = Mar2007 
 Forecast = 3.2857  Date_of_death = Mar2007 
 Forecast = 3.2857  Date_of_death = Feb2007 
 Forecast = 2.5714  Date_of_death = Feb2007 
 Forecast = 2.5714  Date_of_death = Jan2007 
 Forecast = 2.8571  Date_of_death = Jan2007 
 Forecast = 2.8571  Date_of_death = Dec2006 
 Forecast = 4.5000  Date_of_death = Dec2006 
 Forecast = 4.5000  Date_of_death = Nov2006 
 Forecast = 3.0000  Date_of_death = Nov2006 
 Forecast = 3.0000  Date_of_death = Oct2006 
 Forecast = 3.8333  Date_of_death = Oct2006 
 Forecast = 3.8333  Date_of_death = Sep2006 
 Forecast = 2.6667  Date_of_death = Sep2006 
 Forecast = 2.6667  Date_of_death = Aug2006 
 Forecast = 1.6667  Date_of_death = Aug2006 
 Forecast = 1.6667  Date_of_death = Jul2006 
 Forecast = 3.8333  Date_of_death = Jul2006 
 Forecast = 3.8333  Date_of_death = Jun2006 
 Forecast = 4.0000  Date_of_death = Jun2006 
 Forecast = 4.0000  Date_of_death = May2006 
 Forecast = 2.3333  Date_of_death = May2006 
 Forecast = 2.3333  Date_of_death = Apr2006 
 Forecast = 1.8333  Date_of_death = Apr2006 
 Forecast = 1.8333  Date_of_death = Mar2006 
 Forecast = 3.5000  Date_of_death = Mar2006 
 Forecast = 3.5000  Date_of_death = Feb2006 
 Forecast = 2.8333  Date_of_death = Feb2006 
 Forecast = 2.8333  Date_of_death = Jan2006 
 Forecast = 3.1667  Date_of_death = Jan2006 
 Forecast = 3.1667  Date_of_death = Dec2005 
 Forecast = 5.2000  Date_of_death = Dec2005 
 Forecast = 5.2000  Date_of_death = Nov2005 
 Forecast = 3.4000  Date_of_death = Nov2005 
 Forecast = 3.4000  Date_of_death = Oct2005 
 Forecast = 4.2000  Date_of_death = Oct2005 
 Forecast = 4.2000  Date_of_death = Sep2005 
 Forecast = 3.0000  Date_of_death = Sep2005 
 Forecast = 3.0000  Date_of_death = Aug2005 
 Forecast = 1.8000  Date_of_death = Aug2005 
 Forecast = 1.8000  Date_of_death = Jul2005 
 Forecast = 4.2000  Date_of_death = Jul2005 
 Forecast = 4.2000  Date_of_death = Jun2005 
 Forecast = 4.4000  Date_of_death = Jun2005 
 Forecast = 4.4000  Date_of_death = May2005 
 Forecast = 2.6000  Date_of_death = May2005 
 Forecast = 2.6000  Date_of_death = Apr2005 
 Forecast = 2.0000  Date_of_death = Apr2005 
 Forecast = 2.0000  Date_of_death = Mar2005 
 Forecast = 3.0000  Date_of_death = Mar2005 
 Forecast = 3.0000  Date_of_death = Feb2005 
 Forecast = 3.2000  Date_of_death = Feb2005 
 Forecast = 3.2000  Date_of_death = Jan2005 
 Forecast = 3.6000  Date_of_death = Jan2005 
 Forecast = 3.6000  Date_of_death = Dec2004 
 Forecast = 5.0000  Date_of_death = Dec2004 
 Forecast = 5.0000  Date_of_death = Nov2004 
 Forecast = 3.5000  Date_of_death = Nov2004 
 Forecast = 3.5000  Date_of_death = Oct2004 
 Forecast = 3.7500  Date_of_death = Oct2004 
 Forecast = 3.7500  Date_of_death = Sep2004 
 Forecast = 3.5000  Date_of_death = Sep2004 
 Forecast = 3.5000  Date_of_death = Aug2004 
 Forecast = 1.7500  Date_of_death = Aug2004 
 Forecast = 1.7500  Date_of_death = Jul2004 
 Forecast = 5.0000  Date_of_death = Jul2004 
 Forecast = 5.0000  Date_of_death = Jun2004 
 Forecast = 4.0000  Date_of_death = Jun2004 
 Forecast = 4.0000  Date_of_death = May2004 
 Forecast = 2.5000  Date_of_death = May2004 
 Forecast = 2.5000  Date_of_death = Apr2004 
 Forecast = 1.2500  Date_of_death = Apr2004 
 Forecast = 1.2500  Date_of_death = Mar2004 
 Forecast = 3.0000  Date_of_death = Mar2004 
 Forecast = 3.0000  Date_of_death = Feb2004 
 Forecast = 3.7500  Date_of_death = Feb2004 
 Forecast = 3.7500  Date_of_death = Jan2004 
 Forecast = 4.2500  Date_of_death = Jan2004 
 Forecast = 4.2500  Date_of_death = Dec2003 
 Forecast = 4.6667  Date_of_death = Dec2003 
 Forecast = 4.6667  Date_of_death = Nov2003 
 Forecast = 2.6667  Date_of_death = Nov2003 
 Forecast = 2.6667  Date_of_death = Oct2003 
 Forecast = 3.0000  Date_of_death = Oct2003 
 Forecast = 3.0000  Date_of_death = Sep2003 
 Forecast = 2.6667  Date_of_death = Sep2003 
 Forecast = 2.6667  Date_of_death = Aug2003 
 Forecast = 1.3333  Date_of_death = Aug2003 
 Forecast = 1.3333  Date_of_death = Jul2003 
 Forecast = 4.6667  Date_of_death = Jul2003 
 Forecast = 4.6667  Date_of_death = Jun2003 
 Forecast = 5.0000  Date_of_death = Jun2003 
 Forecast = 5.0000  Date_of_death = May2003 
 Forecast = 3.0000  Date_of_death = May2003 
 Forecast = 3.0000  Date_of_death = Apr2003 
 Forecast = 1.0000  Date_of_death = Apr2003 
 Forecast = 1.0000  Date_of_death = Mar2003 
 Forecast = 3.3333  Date_of_death = Mar2003 
 Forecast = 3.3333  Date_of_death = Feb2003 
 Forecast = 4.3333  Date_of_death = Feb2003 
 Forecast = 4.3333  Date_of_death = Jan2003 
 Forecast = 3.6667  Date_of_death = Jan2003 
 Forecast = 3.6667  Date_of_death = Dec2002 
 Forecast = 4.0000  Date_of_death = Dec2002 
 Forecast = 4.0000  Date_of_death = Nov2002 
 Forecast = 3.5000  Date_of_death = Nov2002 
 Forecast = 3.5000  Date_of_death = Oct2002 
 Forecast = 3.5000  Date_of_death = Oct2002 
 Forecast = 3.5000  Date_of_death = Sep2002 
 Forecast = 3.5000  Date_of_death = Sep2002 
 Forecast = 3.5000  Date_of_death = Aug2002 
 Forecast = 1.5000  Date_of_death = Aug2002 
 Forecast = 1.5000  Date_of_death = Jul2002 
 Forecast = 4.0000  Date_of_death = Jul2002 
 Forecast = 4.0000  Date_of_death = Jun2002 
 Forecast = 4.5000  Date_of_death = Jun2002 
 Forecast = 4.5000  Date_of_death = May2002 
 Forecast = 3.5000  Date_of_death = May2002 
 Forecast = 3.5000  Date_of_death = Apr2002 
 Forecast = 1.0000  Date_of_death = Apr2002 
 Forecast = 1.0000  Date_of_death = Mar2002 
 Forecast = 4.5000  Date_of_death = Mar2002 
 Forecast = 4.5000  Date_of_death = Feb2002 
 Forecast = 3.5000  Date_of_death = Feb2002 
 Forecast = 3.5000  Date_of_death = Jan2002 
 Forecast = 5.0000  Date_of_death = Jan2002 
 Forecast = 5.0000  Date_of_death = Dec2001 
 Forecast = 6.0000  Date_of_death = Dec2001 
 Forecast = 6.0000  Date_of_death = Nov2001 
 Forecast = 6.0000  Date_of_death = Nov2001 
 Forecast = 6.0000  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Oct2001 
 Forecast = 1.0000  Date_of_death = Sep2001 
 Forecast = 6.0000  Date_of_death = Sep2001 
 Forecast = 6.0000  Date_of_death = Aug2001 
 Forecast = 1.0000  Date_of_death = Aug2001 
 Forecast = 1.0000  Date_of_death = Jul2001 
 Forecast = 2.0000  Date_of_death = Jul2001 
 Forecast = 2.0000  Date_of_death = Jun2001 
 Forecast = 6.0000  Date_of_death = Jun2001 
 Forecast = 6.0000  Date_of_death = May2001 
 Forecast = 6.0000  Date_of_death = May2001 
 Forecast = 6.0000  Date_of_death = Apr2001 
 Forecast = 1.0000  Date_of_death = Apr2001 
 Forecast = 1.0000  Date_of_death = Mar2001 
 Forecast = 6.0000  Date_of_death = Mar2001 
 Forecast = 6.0000  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Feb2001 
 Forecast = 6.0000  Date_of_death = Jan2001 
 Forecast = 4.0000  Date_of_death = Sep2019 
 incidents = 2.0000  Date_of_death = Aug2019 
 incidents = 1.0000  Date_of_death = Jul2019 
 incidents = 6.0000  Date_of_death = Jun2019 
 incidents = 6.0000  Date_of_death = May2019 
 incidents = 3.0000  Date_of_death = Apr2019 
 incidents = 3.0000  Date_of_death = Mar2019 
 incidents = 3.0000  Date_of_death = Feb2019 
 incidents = 6.0000  Date_of_death = Jan2019 
 incidents = 3.0000  Date_of_death = Dec2018 
 incidents = 5.0000  Date_of_death = Nov2018 
 incidents = 3.0000  Date_of_death = Oct2018 
 incidents = 2.0000  Date_of_death = Sep2018 
 incidents = 2.0000  Date_of_death = Aug2018 
 incidents = 3.0000  Date_of_death = Jul2018 
 incidents = 3.0000  Date_of_death = Jun2018 
 incidents = 4.0000  Date_of_death = May2018 
 incidents = 3.0000  Date_of_death = Apr2018 
 incidents = 2.0000  Date_of_death = Mar2018 
 incidents = 6.0000  Date_of_death = Feb2018 
 incidents = 5.0000  Date_of_death = Jan2018 
 incidents = 1.0000  Date_of_death = Dec2017 
 incidents = 2.0000  Date_of_death = Nov2017 
 incidents = 3.0000  Date_of_death = Oct2017 
 incidents = 2.0000  Date_of_death = Sep2017 
 incidents = 3.0000  Date_of_death = Aug2017 
 incidents = 1.0000  Date_of_death = Jul2017 
 incidents = 4.0000  Date_of_death = Jun2017 
 incidents = 3.0000  Date_of_death = May2017 
 incidents = 5.0000  Date_of_death = Apr2017 
 incidents = 2.0000  Date_of_death = Mar2017 
 incidents = 3.0000  Date_of_death = Feb2017 
 incidents = 6.0000  Date_of_death = Jan2017 
 incidents = 2.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 1.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 3.0000  Date_of_death = Aug2016 
 incidents = 4.0000  Date_of_death = Jul2016 
 incidents = 2.0000  Date_of_death = Jun2016 
 incidents = 2.0000  Date_of_death = May2016 
 incidents = 4.0000  Date_of_death = Apr2016 
 incidents = 2.0000  Date_of_death = Mar2016 
 incidents = 3.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 2.0000  Date_of_death = Dec2015 
 incidents = 3.0000  Date_of_death = Nov2015 
 incidents = 1.0000  Date_of_death = Oct2015 
 incidents = 6.0000  Date_of_death = Sep2015 
 incidents = 6.0000  Date_of_death = Aug2015 
 incidents = 2.0000  Date_of_death = Jul2015 
 incidents = 3.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 3.0000  Date_of_death = Mar2015 
 incidents = 3.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 3.0000  Date_of_death = Nov2014 
 incidents = 6.0000  Date_of_death = Oct2014 
 incidents = 2.0000  Date_of_death = Sep2014 
 incidents = 1.0000  Date_of_death = Aug2014 
 incidents = 3.0000  Date_of_death = Jul2014 
 incidents = 2.0000  Date_of_death = Jun2014 
 incidents = 6.0000  Date_of_death = May2014 
 incidents = 6.0000  Date_of_death = Apr2014 
 incidents = 2.0000  Date_of_death = Mar2014 
 incidents = 6.0000  Date_of_death = Feb2014 
 incidents = 3.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 1.0000  Date_of_death = Nov2013 
 incidents = 1.0000  Date_of_death = Oct2013 
 incidents = 6.0000  Date_of_death = Sep2013 
 incidents = 3.0000  Date_of_death = Aug2013 
 incidents = 4.0000  Date_of_death = Jul2013 
 incidents = 5.0000  Date_of_death = Jun2013 
 incidents = 2.0000  Date_of_death = May2013 
 incidents = 6.0000  Date_of_death = Apr2013 
 incidents = 4.0000  Date_of_death = Mar2013 
 incidents = 4.0000  Date_of_death = Feb2013 
 incidents = 1.0000  Date_of_death = Jan2013 
 incidents = 5.0000  Date_of_death = Dec2012 
 incidents = 6.0000  Date_of_death = Nov2012 
 incidents = 6.0000  Date_of_death = Oct2012 
 incidents = 2.0000  Date_of_death = Sep2012 
 incidents = 4.0000  Date_of_death = Aug2012 
 incidents = 6.0000  Date_of_death = Jul2012 
 incidents = 2.0000  Date_of_death = Jun2012 
 incidents = 2.0000  Date_of_death = May2012 
 incidents = 2.0000  Date_of_death = Apr2012 
 incidents = 1.0000  Date_of_death = Mar2012 
 incidents = 6.0000  Date_of_death = Feb2012 
 incidents = 2.0000  Date_of_death = Jan2012 
 incidents = 3.0000  Date_of_death = Dec2011 
 incidents = 2.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 2.0000  Date_of_death = Sep2011 
 incidents = 6.0000  Date_of_death = Aug2011 
 incidents = 2.0000  Date_of_death = Jul2011 
 incidents = 6.0000  Date_of_death = Jun2011 
 incidents = 6.0000  Date_of_death = May2011 
 incidents = 3.0000  Date_of_death = Apr2011 
 incidents = 3.0000  Date_of_death = Mar2011 
 incidents = 3.0000  Date_of_death = Feb2011 
 incidents = 6.0000  Date_of_death = Jan2011 
 incidents = 1.0000  Date_of_death = Dec2010 
 incidents = 1.0000  Date_of_death = Nov2010 
 incidents = 1.0000  Date_of_death = Oct2010 
 incidents = 3.0000  Date_of_death = Sep2010 
 incidents = 2.0000  Date_of_death = Aug2010 
 incidents = 6.0000  Date_of_death = Jul2010 
 incidents = 2.0000  Date_of_death = Jun2010 
 incidents = 6.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 6.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 2.0000  Date_of_death = Dec2009 
 incidents = 2.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 6.0000  Date_of_death = Sep2009 
 incidents = 2.0000  Date_of_death = Aug2009 
 incidents = 1.0000  Date_of_death = Jul2009 
 incidents = 6.0000  Date_of_death = Jun2009 
 incidents = 2.0000  Date_of_death = May2009 
 incidents = 1.0000  Date_of_death = Apr2009 
 incidents = 6.0000  Date_of_death = Mar2009 
 incidents = 6.0000  Date_of_death = Feb2009 
 incidents = 6.0000  Date_of_death = Jan2009 
 incidents = 6.0000  Date_of_death = Dec2008 
 incidents = 3.0000  Date_of_death = Nov2008 
 incidents = 6.0000  Date_of_death = Oct2008 
 incidents = 6.0000  Date_of_death = Sep2008 
 incidents = 1.0000  Date_of_death = Aug2008 
 incidents = 6.0000  Date_of_death = Jul2008 
 incidents = 6.0000  Date_of_death = Jun2008 
 incidents = 2.0000  Date_of_death = May2008 
 incidents = 6.0000  Date_of_death = Apr2008 
 incidents = 3.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 3.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 6.0000  Date_of_death = Nov2007 
 incidents = 4.0000  Date_of_death = Oct2007 
 incidents = 6.0000  Date_of_death = Sep2007 
 incidents = 1.0000  Date_of_death = Aug2007 
 incidents = 6.0000  Date_of_death = Jul2007 
 incidents = 6.0000  Date_of_death = Jun2007 
 incidents = 6.0000  Date_of_death = May2007 
 incidents = 2.0000  Date_of_death = Apr2007 
 incidents = 2.0000  Date_of_death = Mar2007 
 incidents = 6.0000  Date_of_death = Feb2007 
 incidents = 6.0000  Date_of_death = Jan2007 
 incidents = 6.0000  Date_of_death = Dec2006 
 incidents = 6.0000  Date_of_death = Nov2006 
 incidents = 2.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 2.0000  Date_of_death = Aug2006 
 incidents = 1.0000  Date_of_death = Jul2006 
 incidents = 2.0000  Date_of_death = Jun2006 
 incidents = 1.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 2.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 1.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 1.0000  Date_of_death = Jul2005 
 incidents = 2.0000  Date_of_death = Jun2005 
 incidents = 2.0000  Date_of_death = May2005 
 incidents = 1.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 6.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 6.0000  Date_of_death = Nov2004 
 incidents = 3.0000  Date_of_death = Oct2004 
 incidents = 6.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 2.0000  Date_of_death = Jul2004 
 incidents = 1.0000  Date_of_death = Jun2004 
 incidents = 6.0000  Date_of_death = May2004 
 incidents = 3.0000  Date_of_death = Apr2004 
 incidents = 5.0000  Date_of_death = Mar2004 
 incidents = 3.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 6.0000  Date_of_death = Nov2003 
 incidents = 6.0000  Date_of_death = Oct2003 
 incidents = 6.0000  Date_of_death = Sep2003 
 incidents = 6.0000  Date_of_death = Aug2003 
 incidents = 3.0000  Date_of_death = Jul2003 
 incidents = 6.0000  Date_of_death = Jun2003 
 incidents = 1.0000  Date_of_death = May2003 
 incidents = 1.0000  Date_of_death = Apr2003 
 incidents = 2.0000  Date_of_death = Mar2003 
 incidents = 2.0000  Date_of_death = Feb2003 
 incidents = 2.0000  Date_of_death = Jan2003 
 incidents = 6.0000  Date_of_death = Dec2002 
 incidents = 6.0000  Date_of_death = Nov2002 
 incidents = 1.0000  Date_of_death = Oct2002 
 incidents = 2.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 1.0000  Date_of_death = Jul2002 
 incidents = 6.0000  Date_of_death = Jun2002 
 incidents = 6.0000  Date_of_death = May2002 
 incidents = 2.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 6.0000  Date_of_death = Jan2002 
 incidents = 1.0000  Date_of_death = Dec2001 
 incidents = 2.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 6.0000  Date_of_death = Sep2001 
 incidents = 1.0000  Date_of_death = Aug2001 
 incidents = 2.0000  Date_of_death = Jul2001 
 incidents = 6.0000  Date_of_death = Jun2001 
 incidents = 3.0000  Date_of_death = May2001 
 incidents = 1.0000  Date_of_death = Apr2001 
 incidents = 1.0000  Date_of_death = Mar2001 
 incidents = 3.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Jan2001 
 incidents = 6.0000  Date_of_death = Sep2020 
 Upper 95% = 6.6751 
 Lower 95% = -1.2751  Date_of_death = Aug2020 
 Upper 95% = 6.7751 
 Lower 95% = -1.1751  Date_of_death = Aug2020 
 Upper 95% = 6.7751 
 Lower 95% = -1.1751  Date_of_death = Jul2020 
 Upper 95% = 7.8751 
 Lower 95% = -0.0751  Date_of_death = Jul2020 
 Upper 95% = 7.8751 
 Lower 95% = -0.0751  Date_of_death = Jun2020 
 Upper 95% = 7.6251 
 Lower 95% = -0.3251  Date_of_death = Jun2020 
 Upper 95% = 7.6251 
 Lower 95% = -0.3251  Date_of_death = May2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = May2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Apr2020 
 Upper 95% = 6.3251 
 Lower 95% = -1.6251  Date_of_death = Apr2020 
 Upper 95% = 6.3251 
 Lower 95% = -1.6251  Date_of_death = Mar2020 
 Upper 95% = 7.9251 
 Lower 95% = -0.0251  Date_of_death = Mar2020 
 Upper 95% = 7.9251 
 Lower 95% = -0.0251  Date_of_death = Feb2020 
 Upper 95% = 7.3751 
 Lower 95% = -0.5751  Date_of_death = Feb2020 
 Upper 95% = 7.3751 
 Lower 95% = -0.5751  Date_of_death = Jan2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Jan2020 
 Upper 95% = 6.8751 
 Lower 95% = -1.0751  Date_of_death = Dec2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011  Date_of_death = Dec2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011  Date_of_death = Nov2019 
 Upper 95% = 6.8222 
 Lower 95% = -1.1380  Date_of_death = Nov2019 
 Upper 95% = 6.8222 
 Lower 95% = -1.1380  Date_of_death = Oct2019 
 Upper 95% = 7.5590 
 Lower 95% = -0.4011
Forecast Plot

County=Miami-Dade

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.74153 1.38876

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent FEB2000 SEP2019 236 0 1.00000 4.00000 2.74153 1.38876

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.53638
Level Error Variance 0.57614
Season Error Variance 1.91055

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -412.8
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 831.62
BIC (smaller is better) 841.85
AICC (smaller is better) 831.73
HQIC (smaller is better) 835.75
CAIC (smaller is better) 844.85
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.82591 0.19266 9.48 <.0001
Level Error Variance 0.00058777 0.0008149 0.72 0.4707
Season Error Variance 0.01887 0.01838 1.03 0.3044

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.31705
Root Mean Squared Error 1.52219
Mean Absolute Percentage Error 83.43059
Maximum Percent Error 75.01162
R-Square -0.20783
Adjusted R-Square -0.21876
Random Walk R-Square 0.42900
Amemiya's Adjusted R-Square -0.24062

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 10.51 0.0012
Level 1 204.51 <.0001
Season 11 5.40 0.9103

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.579651288 0.1803846

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.01887

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 4.8287 
 Percent = 0.0192  Prediction Error = 4.7819 
 Percent = 0.0228  Prediction Error = 4.7819 
 Percent = 0.0228  Prediction Error = 4.735 
 Percent = 0.0269  Prediction Error = 4.735 
 Percent = 0.0269  Prediction Error = 4.6881 
 Percent = 0.0317  Prediction Error = 4.6881 
 Percent = 0.0317  Prediction Error = 4.6412 
 Percent = 0.0372  Prediction Error = 4.6412 
 Percent = 0.0372  Prediction Error = 4.5943 
 Percent = 0.0434  Prediction Error = 4.5943 
 Percent = 0.0434  Prediction Error = 4.5475 
 Percent = 0.0506  Prediction Error = 4.5475 
 Percent = 0.0506  Prediction Error = 4.5006 
 Percent = 0.0587  Prediction Error = 4.5006 
 Percent = 0.0587  Prediction Error = 4.4537 
 Percent = 0.0679  Prediction Error = 4.4537 
 Percent = 0.0679  Prediction Error = 4.4068 
 Percent = 0.0783  Prediction Error = 4.4068 
 Percent = 0.0783  Prediction Error = 4.3599 
 Percent = 0.0901  Prediction Error = 4.3599 
 Percent = 0.0901  Prediction Error = 4.3131 
 Percent = 0.1032  Prediction Error = 4.3131 
 Percent = 0.1032  Prediction Error = 4.2662 
 Percent = 0.1179  Prediction Error = 4.2662 
 Percent = 0.1179  Prediction Error = 4.2193 
 Percent = 0.1344  Prediction Error = 4.2193 
 Percent = 0.1344  Prediction Error = 4.1724 
 Percent = 0.1526  Prediction Error = 4.1724 
 Percent = 0.1526  Prediction Error = 4.1256 
 Percent = 0.1729  Prediction Error = 4.1256 
 Percent = 0.1729  Prediction Error = 4.0787 
 Percent = 0.1954  Prediction Error = 4.0787 
 Percent = 0.1954  Prediction Error = 4.0318 
 Percent = 0.2203  Prediction Error = 4.0318 
 Percent = 0.2203  Prediction Error = 3.9849 
 Percent = 0.2477  Prediction Error = 3.9849 
 Percent = 0.2477  Prediction Error = 3.938 
 Percent = 0.2779  Prediction Error = 3.938 
 Percent = 0.2779  Prediction Error = 3.8912 
 Percent = 0.3111  Prediction Error = 3.8912 
 Percent = 0.3111  Prediction Error = 3.8443 
 Percent = 0.3476  Prediction Error = 3.8443 
 Percent = 0.3476  Prediction Error = 3.7974 
 Percent = 0.3876  Prediction Error = 3.7974 
 Percent = 0.3876  Prediction Error = 3.7505 
 Percent = 0.4314  Prediction Error = 3.7505 
 Percent = 0.4314  Prediction Error = 3.7036 
 Percent = 0.4793  Prediction Error = 3.7036 
 Percent = 0.4793  Prediction Error = 3.6568 
 Percent = 0.5317  Prediction Error = 3.6568 
 Percent = 0.5317  Prediction Error = 3.6099 
 Percent = 0.5889  Prediction Error = 3.6099 
 Percent = 0.5889  Prediction Error = 3.563 
 Percent = 0.6513  Prediction Error = 3.563 
 Percent = 0.6513  Prediction Error = 3.5161 
 Percent = 0.7194  Prediction Error = 3.5161 
 Percent = 0.7194  Prediction Error = 3.4693 
 Percent = 0.7936  Prediction Error = 3.4693 
 Percent = 0.7936  Prediction Error = 3.4224 
 Percent = 0.8743  Prediction Error = 3.4224 
 Percent = 0.8743  Prediction Error = 3.3755 
 Percent = 0.9623  Prediction Error = 3.3755 
 Percent = 0.9623  Prediction Error = 3.3286 
 Percent = 1.0579  Prediction Error = 3.3286 
 Percent = 1.0579  Prediction Error = 3.2817 
 Percent = 1.1618  Prediction Error = 3.2817 
 Percent = 1.1618  Prediction Error = 3.2349 
 Percent = 1.2745  Prediction Error = 3.2349 
 Percent = 1.2745  Prediction Error = 3.188 
 Percent = 1.3968  Prediction Error = 3.188 
 Percent = 1.3968  Prediction Error = 3.1411 
 Percent = 1.5292  Prediction Error = 3.1411 
 Percent = 1.5292  Prediction Error = 3.0942 
 Percent = 1.6724  Prediction Error = 3.0942 
 Percent = 1.6724  Prediction Error = 3.0473 
 Percent = 1.827  Prediction Error = 3.0473 
 Percent = 1.827  Prediction Error = 3.0005 
 Percent = 1.9938  Prediction Error = 3.0005 
 Percent = 1.9938  Prediction Error = 2.9536 
 Percent = 2.1732  Prediction Error = 2.9536 
 Percent = 2.1732  Prediction Error = 2.9067 
 Percent = 2.3659  Prediction Error = 2.9067 
 Percent = 2.3659  Prediction Error = 2.8598 
 Percent = 2.5724  Prediction Error = 2.8598 
 Percent = 2.5724  Prediction Error = 2.813 
 Percent = 2.7932  Prediction Error = 2.813 
 Percent = 2.7932  Prediction Error = 2.7661 
 Percent = 3.0286  Prediction Error = 2.7661 
 Percent = 3.0286  Prediction Error = 2.7192 
 Percent = 3.279  Prediction Error = 2.7192 
 Percent = 3.279  Prediction Error = 2.6723 
 Percent = 3.5445  Prediction Error = 2.6723 
 Percent = 3.5445  Prediction Error = 2.6254 
 Percent = 3.8252  Prediction Error = 2.6254 
 Percent = 3.8252  Prediction Error = 2.5786 
 Percent = 4.1211  Prediction Error = 2.5786 
 Percent = 4.1211  Prediction Error = 2.5317 
 Percent = 4.4318  Prediction Error = 2.5317 
 Percent = 4.4318  Prediction Error = 2.4848 
 Percent = 4.757  Prediction Error = 2.4848 
 Percent = 4.757  Prediction Error = 2.4379 
 Percent = 5.0962  Prediction Error = 2.4379 
 Percent = 5.0962  Prediction Error = 2.391 
 Percent = 5.4485  Prediction Error = 2.391 
 Percent = 5.4485  Prediction Error = 2.3442 
 Percent = 5.8131  Prediction Error = 2.3442 
 Percent = 5.8131  Prediction Error = 1.9223 
 Percent = 9.3974  Prediction Error = 1.9223 
 Percent = 9.3974  Prediction Error = 1.8285 
 Percent = 10.18  Prediction Error = 1.8285 
 Percent = 10.18  Prediction Error = 1.7816 
 Percent = 10.556  Prediction Error = 1.7816 
 Percent = 10.556  Prediction Error = 1.7347 
 Percent = 10.917  Prediction Error = 1.7347 
 Percent = 10.917  Prediction Error = 1.6879 
 Percent = 11.263  Prediction Error = 1.6879 
 Percent = 11.263  Prediction Error = 1.641 
 Percent = 11.59  Prediction Error = 1.641 
 Percent = 11.59  Prediction Error = 1.5941 
 Percent = 11.897  Prediction Error = 1.5941 
 Percent = 11.897  Prediction Error = 1.5472 
 Percent = 12.182  Prediction Error = 1.5472 
 Percent = 12.182  Prediction Error = 1.5003 
 Percent = 12.442  Prediction Error = 1.5003 
 Percent = 12.442  Prediction Error = 1.4535 
 Percent = 12.677  Prediction Error = 1.4535 
 Percent = 12.677  Prediction Error = 1.4066 
 Percent = 12.885  Prediction Error = 1.4066 
 Percent = 12.885  Prediction Error = 1.3597 
 Percent = 13.066  Prediction Error = 1.3597 
 Percent = 13.066  Prediction Error = 1.3128 
 Percent = 13.218  Prediction Error = 1.3128 
 Percent = 13.218  Prediction Error = 1.266 
 Percent = 13.342  Prediction Error = 1.266 
 Percent = 13.342  Prediction Error = 1.2191 
 Percent = 13.437  Prediction Error = 1.2191 
 Percent = 13.437  Prediction Error = 1.1722 
 Percent = 13.503  Prediction Error = 1.1722 
 Percent = 13.503  Prediction Error = 1.1253 
 Percent = 13.541  Prediction Error = 1.1253 
 Percent = 13.541  Prediction Error = 1.0784 
 Percent = 13.552  Prediction Error = 1.0784 
 Percent = 13.552  Prediction Error = 1.0316 
 Percent = 13.536  Prediction Error = 1.0316 
 Percent = 13.536  Prediction Error = 0.9847 
 Percent = 13.496  Prediction Error = 0.9847 
 Percent = 13.496  Prediction Error = 0.9378 
 Percent = 13.432  Prediction Error = 0.9378 
 Percent = 13.432  Prediction Error = 0.8909 
 Percent = 13.347  Prediction Error = 0.8909 
 Percent = 13.347  Prediction Error = 0.844 
 Percent = 13.242  Prediction Error = 0.844 
 Percent = 13.242  Prediction Error = 0.7972 
 Percent = 13.119  Prediction Error = 0.7972 
 Percent = 13.119  Prediction Error = 0.7503 
 Percent = 12.981  Prediction Error = 0.7503 
 Percent = 12.981  Prediction Error = 0.7034 
 Percent = 12.828  Prediction Error = 0.7034 
 Percent = 12.828  Prediction Error = 0.6565 
 Percent = 12.665  Prediction Error = 0.6565 
 Percent = 12.665  Prediction Error = 0.6097 
 Percent = 12.493  Prediction Error = 0.6097 
 Percent = 12.493  Prediction Error = 0.3753 
 Percent = 11.568  Prediction Error = 0.3753 
 Percent = 11.568  Prediction Error = 0.2815 
 Percent = 11.205  Prediction Error = 0.2815 
 Percent = 11.205  Prediction Error = 0.2346 
 Percent = 11.031  Prediction Error = 0.2346 
 Percent = 11.031  Prediction Error = 0.1877 
 Percent = 10.865  Prediction Error = 0.1877 
 Percent = 10.865  Prediction Error = 0.1409 
 Percent = 10.707  Prediction Error = 0.1409 
 Percent = 10.707  Prediction Error = 0.094 
 Percent = 10.558  Prediction Error = 0.094 
 Percent = 10.558  Prediction Error = 0.0471 
 Percent = 10.42  Prediction Error = 0.0471 
 Percent = 10.42  Prediction Error = .00023 
 Percent = 10.292  Prediction Error = .00023 
 Percent = 10.292  Prediction Error = -0.047 
 Percent = 10.176  Prediction Error = -0.047 
 Percent = 10.176  Prediction Error = -0.094 
 Percent = 10.072  Prediction Error = -0.094 
 Percent = 10.072  Prediction Error = -0.14 
 Percent = 9.9803  Prediction Error = -0.14 
 Percent = 9.9803  Prediction Error = -0.187 
 Percent = 9.9013  Prediction Error = -0.187 
 Percent = 9.9013  Prediction Error = -0.234 
 Percent = 9.8351  Prediction Error = -0.234 
 Percent = 9.8351  Prediction Error = -0.281 
 Percent = 9.7817  Prediction Error = -0.281 
 Percent = 9.7817  Prediction Error = -0.328 
 Percent = 9.7411  Prediction Error = -0.328 
 Percent = 9.7411  Prediction Error = -0.375 
 Percent = 9.7131  Prediction Error = -0.375 
 Percent = 9.7131  Prediction Error = -0.422 
 Percent = 9.6974  Prediction Error = -0.422 
 Percent = 9.6974  Prediction Error = -0.469 
 Percent = 9.6938  Prediction Error = -0.469 
 Percent = 9.6938  Prediction Error = -0.515 
 Percent = 9.7018  Prediction Error = -0.515 
 Percent = 9.7018  Prediction Error = -0.562 
 Percent = 9.7209  Prediction Error = -0.562 
 Percent = 9.7209  Prediction Error = -0.609 
 Percent = 9.7505  Prediction Error = -0.609 
 Percent = 9.7505  Prediction Error = -0.656 
 Percent = 9.7898  Prediction Error = -0.656 
 Percent = 9.7898  Prediction Error = -0.703 
 Percent = 9.838  Prediction Error = -0.703 
 Percent = 9.838  Prediction Error = -0.75 
 Percent = 9.8943  Prediction Error = -0.75 
 Percent = 9.8943  Prediction Error = -0.797 
 Percent = 9.9576  Prediction Error = -0.797 
 Percent = 9.9576  Prediction Error = -0.844 
 Percent = 10.027  Prediction Error = -0.844 
 Percent = 10.027  Prediction Error = -0.89 
 Percent = 10.101  Prediction Error = -0.89 
 Percent = 10.101  Prediction Error = -0.937 
 Percent = 10.179  Prediction Error = -0.937 
 Percent = 10.179  Prediction Error = -1.031 
 Percent = 10.34  Prediction Error = -1.031 
 Percent = 10.34  Prediction Error = -1.125 
 Percent = 10.498  Prediction Error = -1.125 
 Percent = 10.498  Prediction Error = -1.172 
 Percent = 10.573  Prediction Error = -1.172 
 Percent = 10.573  Prediction Error = -1.219 
 Percent = 10.643  Prediction Error = -1.219 
 Percent = 10.643  Prediction Error = -1.265 
 Percent = 10.707  Prediction Error = -1.265 
 Percent = 10.707  Prediction Error = -1.312 
 Percent = 10.763  Prediction Error = -1.312 
 Percent = 10.763  Prediction Error = -1.359 
 Percent = 10.809  Prediction Error = -1.359 
 Percent = 10.809  Prediction Error = -1.406 
 Percent = 10.845  Prediction Error = -1.406 
 Percent = 10.845  Prediction Error = -1.453 
 Percent = 10.869  Prediction Error = -1.453 
 Percent = 10.869  Prediction Error = -1.5 
 Percent = 10.879  Prediction Error = -1.5 
 Percent = 10.879  Prediction Error = -1.547 
 Percent = 10.876  Prediction Error = -1.547 
 Percent = 10.876  Prediction Error = -1.594 
 Percent = 10.857  Prediction Error = -1.594 
 Percent = 10.857  Prediction Error = -1.641 
 Percent = 10.823  Prediction Error = -1.641 
 Percent = 10.823  Prediction Error = -1.687 
 Percent = 10.771  Prediction Error = -1.687 
 Percent = 10.771  Prediction Error = -1.734 
 Percent = 10.703  Prediction Error = -1.734 
 Percent = 10.703  Prediction Error = -1.781 
 Percent = 10.617  Prediction Error = -1.781 
 Percent = 10.617  Prediction Error = -1.828 
 Percent = 10.514  Prediction Error = -1.828 
 Percent = 10.514  Prediction Error = -1.875 
 Percent = 10.392  Prediction Error = -1.875 
 Percent = 10.392  Prediction Error = -1.922 
 Percent = 10.253  Prediction Error = -1.922 
 Percent = 10.253  Prediction Error = -1.969 
 Percent = 10.097  Prediction Error = -1.969 
 Percent = 10.097  Prediction Error = -2.016 
 Percent = 9.9244  Prediction Error = -2.016 
 Percent = 9.9244  Prediction Error = -2.062 
 Percent = 9.7353  Prediction Error = -2.062 
 Percent = 9.7353  Prediction Error = -2.109 
 Percent = 9.5308  Prediction Error = -2.109 
 Percent = 9.5308  Prediction Error = -2.156 
 Percent = 9.3118  Prediction Error = -2.156 
 Percent = 9.3118  Prediction Error = -2.203 
 Percent = 9.0793  Prediction Error = -2.203 
 Percent = 9.0793  Prediction Error = -2.25 
 Percent = 8.8344  Prediction Error = -2.25 
 Percent = 8.8344  Prediction Error = -2.297 
 Percent = 8.5782  Prediction Error = -2.297 
 Percent = 8.5782  Prediction Error = -2.344 
 Percent = 8.3121  Prediction Error = -2.344 
 Percent = 8.3121  Prediction Error = -2.391 
 Percent = 8.0373  Prediction Error = -2.391 
 Percent = 8.0373  Prediction Error = -2.719 
 Percent = 5.9858  Prediction Error = -2.719 
 Percent = 5.9858  Prediction Error = -2.859 
 Percent = 5.1088  Prediction Error = -2.859 
 Percent = 5.1088  Prediction Error = -2.953 
 Percent = 4.5474  Prediction Error = -2.953 
 Percent = 4.5474  Prediction Error = -3.047 
 Percent = 4.0123  Prediction Error = -3.047 
 Percent = 4.0123  Prediction Error = -3.094 
 Percent = 3.7564  Prediction Error = -3.094 
 Percent = 3.7564  Prediction Error = -3.141 
 Percent = 3.509  Prediction Error = -3.141 
 Percent = 3.509  Prediction Error = -3.188 
 Percent = 3.2705  Prediction Error = -3.188 
 Percent = 3.2705  Prediction Error = -3.234 
 Percent = 3.0413  Prediction Error = -3.234 
 Percent = 3.0413  Prediction Error = -3.281 
 Percent = 2.8217  Prediction Error = -3.281 
 Percent = 2.8217  Prediction Error = -3.328 
 Percent = 2.6118  Prediction Error = -3.328 
 Percent = 2.6118  Prediction Error = -3.375 
 Percent = 2.4119  Prediction Error = -3.375 
 Percent = 2.4119  Prediction Error = -3.422 
 Percent = 2.2219  Prediction Error = -3.422 
 Percent = 2.2219  Prediction Error = -3.469 
 Percent = 2.042  Prediction Error = -3.469 
 Percent = 2.042  Prediction Error = -3.516 
 Percent = 1.872  Prediction Error = -3.516 
 Percent = 1.872  Prediction Error = -3.563 
 Percent = 1.7119  Prediction Error = -3.563 
 Percent = 1.7119  Prediction Error = -3.609 
 Percent = 1.5614  Prediction Error = -3.609 
 Percent = 1.5614  Prediction Error = -3.656 
 Percent = 1.4206  Prediction Error = -3.656 
 Percent = 1.4206  Prediction Error = -3.703 
 Percent = 1.289  Prediction Error = -3.703 
 Percent = 1.289  Prediction Error = -3.75 
 Percent = 1.1665  Prediction Error = -3.75 
 Percent = 1.1665  Prediction Error = -3.797 
 Percent = 1.0528  Prediction Error = -3.797 
 Percent = 1.0528  Prediction Error = -3.844 
 Percent = 0.9475  Prediction Error = -3.844 
 Percent = 0.9475  Prediction Error = -3.891 
 Percent = 0.8504  Prediction Error = -3.891 
 Percent = 0.8504  Prediction Error = -3.938 
 Percent = 0.761  Prediction Error = -3.938 
 Percent = 0.761  Prediction Error = -3.984 
 Percent = 0.679  Prediction Error = -3.984 
 Percent = 0.679  Prediction Error = -4.031 
 Percent = 0.6041  Prediction Error = -4.031 
 Percent = 0.6041  Prediction Error = -4.078 
 Percent = 0.5358  Prediction Error = -4.078 
 Percent = 0.5358  Prediction Error = -4.125 
 Percent = 0.4738  Prediction Error = -4.125 
 Percent = 0.4738  Prediction Error = -4.172 
 Percent = 0.4177  Prediction Error = -4.172 
 Percent = 0.4177  Prediction Error = -4.219 
 Percent = 0.3671  Prediction Error = -4.219 
 Percent = 0.3671  Prediction Error = -4.266 
 Percent = 0.3215  Prediction Error = -4.266 
 Percent = 0.3215  Prediction Error = -4.313 
 Percent = 0.2807  Prediction Error = -4.313 
 Percent = 0.2807  Prediction Error = -4.359 
 Percent = 0.2443  Prediction Error = -4.359 
 Percent = 0.2443  Prediction Error = -4.406 
 Percent = 0.2119  Prediction Error = -4.406 
 Percent = 0.2119  Prediction Error = -4.453 
 Percent = 0.1832  Prediction Error = -4.453 
 Percent = 0.1832  Prediction Error = -4.5 
 Percent = 0.1578  Prediction Error = -4.5 
 Percent = 0.1578  Prediction Error = -4.547 
 Percent = 0.1355  Prediction Error = -4.547 
 Percent = 0.1355  Prediction Error = -4.594 
 Percent = 0.1159  Prediction Error = -4.594 
 Percent = 0.1159  Prediction Error = -4.641 
 Percent = 0.0988  Prediction Error = -4.641 
 Percent = 0.0988  Prediction Error = -4.688 
 Percent = 0.0839  Prediction Error = -4.688 
 Percent = 0.0839  Prediction Error = -4.735 
 Percent = 0.0711  Prediction Error = -4.735 
 Percent = 0.0711  Prediction Error = -4.781 
 Percent = 0.0599  Prediction Error = -4.781 
 Percent = 0.0599  Prediction Error = -4.828 
 Percent = 0.0504  Prediction Error = 4.4287 
 Percent = 0.1749  Prediction Error = 4.3826 
 Percent = 0.1915  Prediction Error = 4.3826 
 Percent = 0.1915  Prediction Error = 4.3366 
 Percent = 0.2094  Prediction Error = 4.3366 
 Percent = 0.2094  Prediction Error = 4.2905 
 Percent = 0.2289  Prediction Error = 4.2905 
 Percent = 0.2289  Prediction Error = 4.2444 
 Percent = 0.2498  Prediction Error = 4.2444 
 Percent = 0.2498  Prediction Error = 4.1984 
 Percent = 0.2725  Prediction Error = 4.1984 
 Percent = 0.2725  Prediction Error = 4.1523 
 Percent = 0.2969  Prediction Error = 4.1523 
 Percent = 0.2969  Prediction Error = 4.1063 
 Percent = 0.3232  Prediction Error = 4.1063 
 Percent = 0.3232  Prediction Error = 4.0602 
 Percent = 0.3516  Prediction Error = 4.0602 
 Percent = 0.3516  Prediction Error = 4.0142 
 Percent = 0.382  Prediction Error = 4.0142 
 Percent = 0.382  Prediction Error = 3.9681 
 Percent = 0.4148  Prediction Error = 3.9681 
 Percent = 0.4148  Prediction Error = 3.922 
 Percent = 0.4499  Prediction Error = 3.922 
 Percent = 0.4499  Prediction Error = 3.876 
 Percent = 0.4875  Prediction Error = 3.876 
 Percent = 0.4875  Prediction Error = 3.8299 
 Percent = 0.5278  Prediction Error = 3.8299 
 Percent = 0.5278  Prediction Error = 3.7839 
 Percent = 0.5709  Prediction Error = 3.7839 
 Percent = 0.5709  Prediction Error = 3.7378 
 Percent = 0.617  Prediction Error = 3.7378 
 Percent = 0.617  Prediction Error = 3.6917 
 Percent = 0.6661  Prediction Error = 3.6917 
 Percent = 0.6661  Prediction Error = 3.6457 
 Percent = 0.7186  Prediction Error = 3.6457 
 Percent = 0.7186  Prediction Error = 3.5996 
 Percent = 0.7744  Prediction Error = 3.5996 
 Percent = 0.7744  Prediction Error = 3.5536 
 Percent = 0.8338  Prediction Error = 3.5536 
 Percent = 0.8338  Prediction Error = 3.5075 
 Percent = 0.897  Prediction Error = 3.5075 
 Percent = 0.897  Prediction Error = 3.4615 
 Percent = 0.964  Prediction Error = 3.4615 
 Percent = 0.964  Prediction Error = 3.4154 
 Percent = 1.0351  Prediction Error = 3.4154 
 Percent = 1.0351  Prediction Error = 3.3693 
 Percent = 1.1105  Prediction Error = 3.3693 
 Percent = 1.1105  Prediction Error = 3.3233 
 Percent = 1.1902  Prediction Error = 3.3233 
 Percent = 1.1902  Prediction Error = 3.2772 
 Percent = 1.2744  Prediction Error = 3.2772 
 Percent = 1.2744  Prediction Error = 3.2312 
 Percent = 1.3634  Prediction Error = 3.2312 
 Percent = 1.3634  Prediction Error = 3.1851 
 Percent = 1.4573  Prediction Error = 3.1851 
 Percent = 1.4573  Prediction Error = 3.139 
 Percent = 1.5562  Prediction Error = 3.139 
 Percent = 1.5562  Prediction Error = 3.093 
 Percent = 1.6603  Prediction Error = 3.093 
 Percent = 1.6603  Prediction Error = 3.0469 
 Percent = 1.7697  Prediction Error = 3.0469 
 Percent = 1.7697  Prediction Error = 3.0009 
 Percent = 1.8846  Prediction Error = 3.0009 
 Percent = 1.8846  Prediction Error = 2.9548 
 Percent = 2.0051  Prediction Error = 2.9548 
 Percent = 2.0051  Prediction Error = 2.9088 
 Percent = 2.1313  Prediction Error = 2.9088 
 Percent = 2.1313  Prediction Error = 2.8627 
 Percent = 2.2635  Prediction Error = 2.8627 
 Percent = 2.2635  Prediction Error = 2.8166 
 Percent = 2.4016  Prediction Error = 2.8166 
 Percent = 2.4016  Prediction Error = 2.7706 
 Percent = 2.5458  Prediction Error = 2.7706 
 Percent = 2.5458  Prediction Error = 2.7245 
 Percent = 2.6961  Prediction Error = 2.7245 
 Percent = 2.6961  Prediction Error = 2.6785 
 Percent = 2.8528  Prediction Error = 2.6785 
 Percent = 2.8528  Prediction Error = 2.6324 
 Percent = 3.0158  Prediction Error = 2.6324 
 Percent = 3.0158  Prediction Error = 2.5863 
 Percent = 3.1851  Prediction Error = 2.5863 
 Percent = 3.1851  Prediction Error = 2.5403 
 Percent = 3.3609  Prediction Error = 2.5403 
 Percent = 3.3609  Prediction Error = 2.4942 
 Percent = 3.5431  Prediction Error = 2.4942 
 Percent = 3.5431  Prediction Error = 2.4482 
 Percent = 3.7318  Prediction Error = 2.4482 
 Percent = 3.7318  Prediction Error = 2.4021 
 Percent = 3.9269  Prediction Error = 2.4021 
 Percent = 3.9269  Prediction Error = 2.356 
 Percent = 4.1284  Prediction Error = 2.356 
 Percent = 4.1284  Prediction Error = 2.2639 
 Percent = 4.5505  Prediction Error = 2.2639 
 Percent = 4.5505  Prediction Error = 2.1718 
 Percent = 4.9973  Prediction Error = 2.1718 
 Percent = 4.9973  Prediction Error = 2.0797 
 Percent = 5.4679  Prediction Error = 2.0797 
 Percent = 5.4679  Prediction Error = 1.9876 
 Percent = 5.9608  Prediction Error = 1.9876 
 Percent = 5.9608  Prediction Error = 1.8955 
 Percent = 6.4744  Prediction Error = 1.8955 
 Percent = 6.4744  Prediction Error = 1.2046 
 Percent = 10.704  Prediction Error = 1.2046 
 Percent = 10.704  Prediction Error = 1.0664 
 Percent = 11.546  Prediction Error = 1.0664 
 Percent = 11.546  Prediction Error = 0.9743 
 Percent = 12.089  Prediction Error = 0.9743 
 Percent = 12.089  Prediction Error = 0.8822 
 Percent = 12.61  Prediction Error = 0.8822 
 Percent = 12.61  Prediction Error = 0.7901 
 Percent = 13.106  Prediction Error = 0.7901 
 Percent = 13.106  Prediction Error = 0.744 
 Percent = 13.343  Prediction Error = 0.744 
 Percent = 13.343  Prediction Error = 0.6979 
 Percent = 13.572  Prediction Error = 0.6979 
 Percent = 13.572  Prediction Error = 0.6519 
 Percent = 13.792  Prediction Error = 0.6519 
 Percent = 13.792  Prediction Error = 0.6058 
 Percent = 14.002  Prediction Error = 0.6058 
 Percent = 14.002  Prediction Error = 0.5598 
 Percent = 14.203  Prediction Error = 0.5598 
 Percent = 14.203  Prediction Error = 0.5137 
 Percent = 14.393  Prediction Error = 0.5137 
 Percent = 14.393  Prediction Error = 0.4677 
 Percent = 14.573  Prediction Error = 0.4677 
 Percent = 14.573  Prediction Error = 0.4216 
 Percent = 14.741  Prediction Error = 0.4216 
 Percent = 14.741  Prediction Error = 0.3755 
 Percent = 14.897  Prediction Error = 0.3755 
 Percent = 14.897  Prediction Error = 0.3295 
 Percent = 15.042  Prediction Error = 0.3295 
 Percent = 15.042  Prediction Error = 0.2834 
 Percent = 15.174  Prediction Error = 0.2834 
 Percent = 15.174  Prediction Error = 0.2374 
 Percent = 15.292  Prediction Error = 0.2374 
 Percent = 15.292  Prediction Error = 0.1913 
 Percent = 15.398  Prediction Error = 0.1913 
 Percent = 15.398  Prediction Error = 0.1452 
 Percent = 15.49  Prediction Error = 0.1452 
 Percent = 15.49  Prediction Error = 0.0992 
 Percent = 15.569  Prediction Error = 0.0992 
 Percent = 15.569  Prediction Error = 0.0531 
 Percent = 15.633  Prediction Error = 0.0531 
 Percent = 15.633  Prediction Error = 0.0071 
 Percent = 15.684  Prediction Error = 0.0071 
 Percent = 15.684  Prediction Error = -0.039 
 Percent = 15.72  Prediction Error = -0.039 
 Percent = 15.72  Prediction Error = -0.085 
 Percent = 15.741  Prediction Error = -0.085 
 Percent = 15.741  Prediction Error = -0.131 
 Percent = 15.748  Prediction Error = -0.131 
 Percent = 15.748  Prediction Error = -0.177 
 Percent = 15.741  Prediction Error = -0.177 
 Percent = 15.741  Prediction Error = -0.223 
 Percent = 15.72  Prediction Error = -0.223 
 Percent = 15.72  Prediction Error = -0.269 
 Percent = 15.684  Prediction Error = -0.269 
 Percent = 15.684  Prediction Error = -0.315 
 Percent = 15.633  Prediction Error = -0.315 
 Percent = 15.633  Prediction Error = -0.361 
 Percent = 15.569  Prediction Error = -0.361 
 Percent = 15.569  Prediction Error = -0.407 
 Percent = 15.49  Prediction Error = -0.407 
 Percent = 15.49  Prediction Error = -0.454 
 Percent = 15.398  Prediction Error = -0.454 
 Percent = 15.398  Prediction Error = -0.5 
 Percent = 15.292  Prediction Error = -0.5 
 Percent = 15.292  Prediction Error = -0.546 
 Percent = 15.174  Prediction Error = -0.546 
 Percent = 15.174  Prediction Error = -0.592 
 Percent = 15.042  Prediction Error = -0.592 
 Percent = 15.042  Prediction Error = -0.638 
 Percent = 14.897  Prediction Error = -0.638 
 Percent = 14.897  Prediction Error = -0.684 
 Percent = 14.741  Prediction Error = -0.684 
 Percent = 14.741  Prediction Error = -0.73 
 Percent = 14.573  Prediction Error = -0.73 
 Percent = 14.573  Prediction Error = -0.776 
 Percent = 14.393  Prediction Error = -0.776 
 Percent = 14.393  Prediction Error = -0.822 
 Percent = 14.203  Prediction Error = -0.822 
 Percent = 14.203  Prediction Error = -0.868 
 Percent = 14.002  Prediction Error = -0.868 
 Percent = 14.002  Prediction Error = -0.914 
 Percent = 13.792  Prediction Error = -0.914 
 Percent = 13.792  Prediction Error = -0.96 
 Percent = 13.572  Prediction Error = -0.96 
 Percent = 13.572  Prediction Error = -1.006 
 Percent = 13.343  Prediction Error = -1.006 
 Percent = 13.343  Prediction Error = -1.052 
 Percent = 13.106  Prediction Error = -1.052 
 Percent = 13.106  Prediction Error = -1.144 
 Percent = 12.61  Prediction Error = -1.144 
 Percent = 12.61  Prediction Error = -1.237 
 Percent = 12.089  Prediction Error = -1.237 
 Percent = 12.089  Prediction Error = -1.789 
 Percent = 8.6859  Prediction Error = -1.789 
 Percent = 8.6859  Prediction Error = -1.973 
 Percent = 7.5544  Prediction Error = -1.973 
 Percent = 7.5544  Prediction Error = -2.112 
 Percent = 6.7382  Prediction Error = -2.112 
 Percent = 6.7382  Prediction Error = -2.204 
 Percent = 6.2152  Prediction Error = -2.204 
 Percent = 6.2152  Prediction Error = -2.296 
 Percent = 5.7117  Prediction Error = -2.296 
 Percent = 5.7117  Prediction Error = -2.388 
 Percent = 5.2297  Prediction Error = -2.388 
 Percent = 5.2297  Prediction Error = -2.48 
 Percent = 4.7709  Prediction Error = -2.48 
 Percent = 4.7709  Prediction Error = -2.572 
 Percent = 4.3363  Prediction Error = -2.572 
 Percent = 4.3363  Prediction Error = -2.618 
 Percent = 4.1284  Prediction Error = -2.618 
 Percent = 4.1284  Prediction Error = -2.664 
 Percent = 3.9269  Prediction Error = -2.664 
 Percent = 3.9269  Prediction Error = -2.71 
 Percent = 3.7318  Prediction Error = -2.71 
 Percent = 3.7318  Prediction Error = -2.756 
 Percent = 3.5431  Prediction Error = -2.756 
 Percent = 3.5431  Prediction Error = -2.802 
 Percent = 3.3609  Prediction Error = -2.802 
 Percent = 3.3609  Prediction Error = -2.849 
 Percent = 3.1851  Prediction Error = -2.849 
 Percent = 3.1851  Prediction Error = -2.895 
 Percent = 3.0158  Prediction Error = -2.895 
 Percent = 3.0158  Prediction Error = -2.941 
 Percent = 2.8528  Prediction Error = -2.941 
 Percent = 2.8528  Prediction Error = -2.987 
 Percent = 2.6961  Prediction Error = -2.987 
 Percent = 2.6961  Prediction Error = -3.033 
 Percent = 2.5458  Prediction Error = -3.033 
 Percent = 2.5458  Prediction Error = -3.079 
 Percent = 2.4016  Prediction Error = -3.079 
 Percent = 2.4016  Prediction Error = -3.125 
 Percent = 2.2635  Prediction Error = -3.125 
 Percent = 2.2635  Prediction Error = -3.171 
 Percent = 2.1313  Prediction Error = -3.171 
 Percent = 2.1313  Prediction Error = -3.217 
 Percent = 2.0051  Prediction Error = -3.217 
 Percent = 2.0051  Prediction Error = -3.263 
 Percent = 1.8846  Prediction Error = -3.263 
 Percent = 1.8846  Prediction Error = -3.309 
 Percent = 1.7697  Prediction Error = -3.309 
 Percent = 1.7697  Prediction Error = -3.355 
 Percent = 1.6603  Prediction Error = -3.355 
 Percent = 1.6603  Prediction Error = -3.401 
 Percent = 1.5562  Prediction Error = -3.401 
 Percent = 1.5562  Prediction Error = -3.447 
 Percent = 1.4573  Prediction Error = -3.447 
 Percent = 1.4573  Prediction Error = -3.493 
 Percent = 1.3634  Prediction Error = -3.493 
 Percent = 1.3634  Prediction Error = -3.539 
 Percent = 1.2744  Prediction Error = -3.539 
 Percent = 1.2744  Prediction Error = -3.585 
 Percent = 1.1902  Prediction Error = -3.585 
 Percent = 1.1902  Prediction Error = -3.632 
 Percent = 1.1105  Prediction Error = -3.632 
 Percent = 1.1105  Prediction Error = -3.678 
 Percent = 1.0351  Prediction Error = -3.678 
 Percent = 1.0351  Prediction Error = -3.724 
 Percent = 0.964  Prediction Error = -3.724 
 Percent = 0.964  Prediction Error = -3.77 
 Percent = 0.897  Prediction Error = -3.77 
 Percent = 0.897  Prediction Error = -3.816 
 Percent = 0.8338  Prediction Error = -3.816 
 Percent = 0.8338  Prediction Error = -3.862 
 Percent = 0.7744  Prediction Error = -3.862 
 Percent = 0.7744  Prediction Error = -3.908 
 Percent = 0.7186  Prediction Error = -3.908 
 Percent = 0.7186  Prediction Error = -3.954 
 Percent = 0.6661  Prediction Error = -3.954 
 Percent = 0.6661  Prediction Error = -4 
 Percent = 0.617  Prediction Error = -4 
 Percent = 0.617  Prediction Error = -4.046 
 Percent = 0.5709  Prediction Error = -4.046 
 Percent = 0.5709  Prediction Error = -4.092 
 Percent = 0.5278  Prediction Error = -4.092 
 Percent = 0.5278  Prediction Error = -4.138 
 Percent = 0.4875  Prediction Error = -4.138 
 Percent = 0.4875  Prediction Error = -4.184 
 Percent = 0.4499  Prediction Error = -4.184 
 Percent = 0.4499  Prediction Error = -4.23 
 Percent = 0.4148  Prediction Error = -4.23 
 Percent = 0.4148  Prediction Error = -4.276 
 Percent = 0.382  Prediction Error = -4.276 
 Percent = 0.382  Prediction Error = -4.322 
 Percent = 0.3516  Prediction Error = -4.322 
 Percent = 0.3516  Prediction Error = -4.368 
 Percent = 0.3232  Prediction Error = -4.368 
 Percent = 0.3232  Prediction Error = -4.415 
 Percent = 0.2969  Prediction Error = -4.415 
 Percent = 0.2969  Prediction Error = -4.461 
 Percent = 0.2725  Prediction Error = -4.461 
 Percent = 0.2725  Prediction Error = -4.507 
 Percent = 0.2498  Prediction Error = -4.507 
 Percent = 0.2498  Prediction Error = -4.553 
 Percent = 0.2289  Prediction Error = -4.553 
 Percent = 0.2289  Prediction Error = -4.599 
 Percent = 0.2094  Prediction Error = -4.599 
 Percent = 0.2094  Prediction Error = -4.645 
 Percent = 0.1915  Prediction Error = -4.645 
 Percent = 0.1915  Prediction Error = -4.691 
 Percent = 0.1749  Prediction Error = 3 
 Percent = 1.3393  Prediction Error = 3 
 Percent = 1.3393  Prediction Error = 2.4 
 Percent = 1.7857  Prediction Error = 2.4 
 Percent = 1.7857  Prediction Error = 1.8 
 Percent = 9.8214  Prediction Error = 1.8 
 Percent = 9.8214  Prediction Error = 1.2 
 Percent = 22.768  Prediction Error = 1.2 
 Percent = 22.768  Prediction Error = 0.6 
 Percent = 9.375  Prediction Error = 0.6 
 Percent = 9.375  Prediction Error = 0 
 Percent = 11.161  Prediction Error = 0 
 Percent = 11.161  Prediction Error = -0.6 
 Percent = 6.25  Prediction Error = -0.6 
 Percent = 6.25  Prediction Error = -1.2 
 Percent = 11.607  Prediction Error = -1.2 
 Percent = 11.607  Prediction Error = -1.8 
 Percent = 15.179  Prediction Error = -1.8 
 Percent = 15.179  Prediction Error = -2.4 
 Percent = 7.5893  Prediction Error = -2.4 
 Percent = 7.5893  Prediction Error = -3 
 Percent = 3.125  Prediction Error = -3 
 Percent = 3.125  Quantile = 2.7718 
 Residual = 3.0005  Quantile = 2.4448 
 Residual = 2.9923  Quantile = 2.2667 
 Residual = 2.9899  Quantile = 2.1403 
 Residual = 2.3666  Quantile = 2.041 
 Residual = 2.2139  Quantile = 1.9585 
 Residual = 2.2102  Quantile = 1.8876 
 Residual = 2.1983  Quantile = 1.825 
 Residual = 2.0658  Quantile = 1.7688 
 Residual = 2.0465  Quantile = 1.7178 
 Residual = 2.0303  Quantile = 1.6708 
 Residual = 2.0154  Quantile = 1.6273 
 Residual = 1.8836  Quantile = 1.5866 
 Residual = 1.8542  Quantile = 1.5484 
 Residual = 1.7916  Quantile = 1.5124 
 Residual = 1.7905  Quantile = 1.4782 
 Residual = 1.7722  Quantile = 1.4457 
 Residual = 1.7275  Quantile = 1.4146 
 Residual = 1.7117  Quantile = 1.3848 
 Residual = 1.7098  Quantile = 1.3562 
 Residual = 1.7027  Quantile = 1.3287 
 Residual = 1.694  Quantile = 1.3022 
 Residual = 1.6866  Quantile = 1.2765 
 Residual = 1.6506  Quantile = 1.2516 
 Residual = 1.6243  Quantile = 1.2275 
 Residual = 1.5601  Quantile = 1.2041 
 Residual = 1.5305  Quantile = 1.1814 
 Residual = 1.5262  Quantile = 1.1592 
 Residual = 1.5258  Quantile = 1.1376 
 Residual = 1.5177  Quantile = 1.1165 
 Residual = 1.4996  Quantile = 1.0959 
 Residual = 1.4966  Quantile = 1.0757 
 Residual = 1.4961  Quantile = 1.056 
 Residual = 1.4944  Quantile = 1.0367 
 Residual = 1.4685  Quantile = 1.0177 
 Residual = 1.4562  Quantile = 0.9991 
 Residual = 1.4522  Quantile = 0.9809 
 Residual = 1.4254  Quantile = 0.963 
 Residual = 1.4224  Quantile = 0.9453 
 Residual = 1.42  Quantile = 0.928 
 Residual = 1.3915  Quantile = 0.911 
 Residual = 1.3861  Quantile = 0.8942 
 Residual = 1.381  Quantile = 0.8776 
 Residual = 1.3661  Quantile = 0.8613 
 Residual = 1.3634  Quantile = 0.8452 
 Residual = 1.3623  Quantile = 0.8293 
 Residual = 1.3467  Quantile = 0.8137 
 Residual = 1.3457  Quantile = 0.7982 
 Residual = 1.335  Quantile = 0.7829 
 Residual = 1.3031  Quantile = 0.7678 
 Residual = 1.2905  Quantile = 0.7529 
 Residual = 1.2864  Quantile = 0.7381 
 Residual = 1.274  Quantile = 0.7235 
 Residual = 1.2688  Quantile = 0.7091 
 Residual = 1.2277  Quantile = 0.6948 
 Residual = 1.2268  Quantile = 0.6806 
 Residual = 1.206  Quantile = 0.6666 
 Residual = 1.1902  Quantile = 0.6527 
 Residual = 1.1882  Quantile = 0.639 
 Residual = 1.1706  Quantile = 0.6253 
 Residual = 1.1573  Quantile = 0.6118 
 Residual = 1.1324  Quantile = 0.5983 
 Residual = 1.1302  Quantile = 0.585 
 Residual = 1.1244  Quantile = 0.5718 
 Residual = 1.1219  Quantile = 0.5587 
 Residual = 1.1146  Quantile = 0.5457 
 Residual = 1.1067  Quantile = 0.5328 
 Residual = 1.0866  Quantile = 0.5199 
 Residual = 1.0786  Quantile = 0.5072 
 Residual = 1.0711  Quantile = 0.4945 
 Residual = 1.0657  Quantile = 0.4819 
 Residual = 1.0527  Quantile = 0.4694 
 Residual = 1.0239  Quantile = 0.4569 
 Residual = 1.0199  Quantile = 0.4446 
 Residual = 1.0089  Quantile = 0.4323 
 Residual = 1.0083  Quantile = 0.42 
 Residual = 1.0028  Quantile = 0.4078 
 Residual = 0.989  Quantile = 0.3957 
 Residual = 0.9876  Quantile = 0.3837 
 Residual = 0.9169  Quantile = 0.3717 
 Residual = 0.9012  Quantile = 0.3597 
 Residual = 0.8979  Quantile = 0.3478 
 Residual = 0.8958  Quantile = 0.336 
 Residual = 0.8593  Quantile = 0.3242 
 Residual = 0.8377  Quantile = 0.3124 
 Residual = 0.8191  Quantile = 0.3007 
 Residual = 0.8187  Quantile = 0.289 
 Residual = 0.8004  Quantile = 0.2774 
 Residual = 0.7657  Quantile = 0.2658 
 Residual = 0.7534  Quantile = 0.2542 
 Residual = 0.7492  Quantile = 0.2427 
 Residual = 0.7257  Quantile = 0.2312 
 Residual = 0.6985  Quantile = 0.2197 
 Residual = 0.6835  Quantile = 0.2083 
 Residual = 0.6478  Quantile = 0.1969 
 Residual = 0.6159  Quantile = 0.1855 
 Residual = 0.6088  Quantile = 0.1741 
 Residual = 0.607  Quantile = 0.1628 
 Residual = 0.5691  Quantile = 0.1515 
 Residual = 0.5651  Quantile = 0.1402 
 Residual = 0.5641  Quantile = 0.1289 
 Residual = 0.5191  Quantile = 0.1176 
 Residual = 0.2371  Quantile = 0.1064 
 Residual = 0.1171  Quantile = 0.0952 
 Residual = 0.0231  Quantile = 0.0839 
 Residual = 0.0198  Quantile = 0.0727 
 Residual = 0.0189  Quantile = 0.0615 
 Residual = 0.0169  Quantile = 0.0503 
 Residual = 0.0083  Quantile = 0.0391 
 Residual = -4E-16  Quantile = 0.0279 
 Residual = -9E-16  Quantile = 0.0168 
 Residual = -77E-5  Quantile = 0.0056 
 Residual = -0.002  Quantile = -0.006 
 Residual = -0.007  Quantile = -0.017 
 Residual = -0.007  Quantile = -0.028 
 Residual = -0.009  Quantile = -0.039 
 Residual = -0.009  Quantile = -0.05 
 Residual = -0.01  Quantile = -0.062 
 Residual = -0.011  Quantile = -0.073 
 Residual = -0.013  Quantile = -0.084 
 Residual = -0.027  Quantile = -0.095 
 Residual = -0.037  Quantile = -0.106 
 Residual = -0.112  Quantile = -0.118 
 Residual = -0.115  Quantile = -0.129 
 Residual = -0.127  Quantile = -0.14 
 Residual = -0.235  Quantile = -0.151 
 Residual = -0.243  Quantile = -0.163 
 Residual = -0.364  Quantile = -0.174 
 Residual = -0.373  Quantile = -0.185 
 Residual = -0.406  Quantile = -0.197 
 Residual = -0.492  Quantile = -0.208 
 Residual = -0.503  Quantile = -0.22 
 Residual = -0.535  Quantile = -0.231 
 Residual = -0.564  Quantile = -0.243 
 Residual = -0.593  Quantile = -0.254 
 Residual = -0.736  Quantile = -0.266 
 Residual = -0.754  Quantile = -0.277 
 Residual = -0.79  Quantile = -0.289 
 Residual = -0.793  Quantile = -0.301 
 Residual = -0.863  Quantile = -0.312 
 Residual = -0.88  Quantile = -0.324 
 Residual = -0.958  Quantile = -0.336 
 Residual = -0.993  Quantile = -0.348 
 Residual = -1.006  Quantile = -0.36 
 Residual = -1.01  Quantile = -0.372 
 Residual = -1.039  Quantile = -0.384 
 Residual = -1.053  Quantile = -0.396 
 Residual = -1.071  Quantile = -0.408 
 Residual = -1.119  Quantile = -0.42 
 Residual = -1.151  Quantile = -0.432 
 Residual = -1.152  Quantile = -0.445 
 Residual = -1.173  Quantile = -0.457 
 Residual = -1.191  Quantile = -0.469 
 Residual = -1.193  Quantile = -0.482 
 Residual = -1.215  Quantile = -0.494 
 Residual = -1.232  Quantile = -0.507 
 Residual = -1.259  Quantile = -0.52 
 Residual = -1.298  Quantile = -0.533 
 Residual = -1.338  Quantile = -0.546 
 Residual = -1.359  Quantile = -0.559 
 Residual = -1.36  Quantile = -0.572 
 Residual = -1.366  Quantile = -0.585 
 Residual = -1.409  Quantile = -0.598 
 Residual = -1.409  Quantile = -0.612 
 Residual = -1.419  Quantile = -0.625 
 Residual = -1.443  Quantile = -0.639 
 Residual = -1.476  Quantile = -0.653 
 Residual = -1.508  Quantile = -0.667 
 Residual = -1.512  Quantile = -0.681 
 Residual = -1.516  Quantile = -0.695 
 Residual = -1.536  Quantile = -0.709 
 Residual = -1.542  Quantile = -0.724 
 Residual = -1.595  Quantile = -0.738 
 Residual = -1.65  Quantile = -0.753 
 Residual = -1.679  Quantile = -0.768 
 Residual = -1.68  Quantile = -0.783 
 Residual = -1.714  Quantile = -0.798 
 Residual = -1.763  Quantile = -0.814 
 Residual = -1.786  Quantile = -0.829 
 Residual = -1.799  Quantile = -0.845 
 Residual = -1.808  Quantile = -0.861 
 Residual = -1.809  Quantile = -0.878 
 Residual = -1.811  Quantile = -0.894 
 Residual = -1.813  Quantile = -0.911 
 Residual = -1.847  Quantile = -0.928 
 Residual = -1.86  Quantile = -0.945 
 Residual = -1.868  Quantile = -0.963 
 Residual = -1.879  Quantile = -0.981 
 Residual = -1.9  Quantile = -0.999 
 Residual = -1.937  Quantile = -1.018 
 Residual = -1.981  Quantile = -1.037 
 Residual = -1.982  Quantile = -1.056 
 Residual = -1.985  Quantile = -1.076 
 Residual = -1.995  Quantile = -1.096 
 Residual = -1.998  Quantile = -1.116 
 Residual = -2.002  Quantile = -1.138 
 Residual = -2.007  Quantile = -1.159 
 Residual = -2.045  Quantile = -1.181 
 Residual = -2.08  Quantile = -1.204 
 Residual = -2.087  Quantile = -1.228 
 Residual = -2.093  Quantile = -1.252 
 Residual = -2.103  Quantile = -1.276 
 Residual = -2.104  Quantile = -1.302 
 Residual = -2.109  Quantile = -1.329 
 Residual = -2.134  Quantile = -1.356 
 Residual = -2.152  Quantile = -1.385 
 Residual = -2.185  Quantile = -1.415 
 Residual = -2.213  Quantile = -1.446 
 Residual = -2.285  Quantile = -1.478 
 Residual = -2.312  Quantile = -1.512 
 Residual = -2.335  Quantile = -1.548 
 Residual = -2.383  Quantile = -1.587 
 Residual = -2.464  Quantile = -1.627 
 Residual = -2.477  Quantile = -1.671 
 Residual = -2.526  Quantile = -1.718 
 Residual = -2.548  Quantile = -1.769 
 Residual = -2.586  Quantile = -1.825 
 Residual = -2.613  Quantile = -1.888 
 Residual = -2.977  Quantile = -1.959 
 Residual = -2.983  Quantile = -2.041 
 Residual = -2.984  Quantile = -2.14 
 Residual = -2.997  Quantile = -2.267 
 Residual = -2.999  Quantile = -2.445 
 Residual = -3  Quantile = -2.772 
 Residual = -3  Slope = 1.5199 
 Y = -0.131  Lag = 24 
 ACF = 0.0714  Lag = 23 
 ACF = -0.039  Lag = 22 
 ACF = -0.139  Lag = 21 
 ACF = 0.0044  Lag = 20 
 ACF = -0.009  Lag = 19 
 ACF = 0.049  Lag = 18 
 ACF = -0.05  Lag = 17 
 ACF = -0.043  Lag = 16 
 ACF = -0.06  Lag = 15 
 ACF = -0.03  Lag = 14 
 ACF = 0.1063  Lag = 13 
 ACF = 0.0094  Lag = 12 
 ACF = -0.051  Lag = 11 
 ACF = -0.051  Lag = 10 
 ACF = -0.066  Lag = 9 
 ACF = 0.0464  Lag = 8 
 ACF = 0.0595  Lag = 7 
 ACF = .00086  Lag = 6 
 ACF = -0.049  Lag = 5 
 ACF = 0.0263  Lag = 4 
 ACF = 0.0638  Lag = 3 
 ACF = -0.148  Lag = 2 
 ACF = -0.049  Lag = 1 
 ACF = -0.08  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.146 
 Upper = 0.146  Lag = 23 
 Lower = -0.146 
 Upper = 0.1458  Lag = 23 
 Lower = -0.146 
 Upper = 0.1458  Lag = 22 
 Lower = -0.143 
 Upper = 0.1434  Lag = 22 
 Lower = -0.143 
 Upper = 0.1434  Lag = 21 
 Lower = -0.143 
 Upper = 0.1434  Lag = 21 
 Lower = -0.143 
 Upper = 0.1434  Lag = 20 
 Lower = -0.143 
 Upper = 0.1434  Lag = 20 
 Lower = -0.143 
 Upper = 0.1434  Lag = 19 
 Lower = -0.143 
 Upper = 0.1431  Lag = 19 
 Lower = -0.143 
 Upper = 0.1431  Lag = 18 
 Lower = -0.143 
 Upper = 0.1428  Lag = 18 
 Lower = -0.143 
 Upper = 0.1428  Lag = 17 
 Lower = -0.143 
 Upper = 0.1426  Lag = 17 
 Lower = -0.143 
 Upper = 0.1426  Lag = 16 
 Lower = -0.142 
 Upper = 0.1421  Lag = 16 
 Lower = -0.142 
 Upper = 0.1421  Lag = 15 
 Lower = -0.142 
 Upper = 0.142  Lag = 15 
 Lower = -0.142 
 Upper = 0.142  Lag = 14 
 Lower = -0.141 
 Upper = 0.1406  Lag = 14 
 Lower = -0.141 
 Upper = 0.1406  Lag = 13 
 Lower = -0.141 
 Upper = 0.1406  Lag = 13 
 Lower = -0.141 
 Upper = 0.1406  Lag = 12 
 Lower = -0.14 
 Upper = 0.1402  Lag = 12 
 Lower = -0.14 
 Upper = 0.1402  Lag = 11 
 Lower = -0.14 
 Upper = 0.1399  Lag = 11 
 Lower = -0.14 
 Upper = 0.1399  Lag = 10 
 Lower = -0.139 
 Upper = 0.1393  Lag = 10 
 Lower = -0.139 
 Upper = 0.1393  Lag = 9 
 Lower = -0.139 
 Upper = 0.1391  Lag = 9 
 Lower = -0.139 
 Upper = 0.1391  Lag = 8 
 Lower = -0.139 
 Upper = 0.1386  Lag = 8 
 Lower = -0.139 
 Upper = 0.1386  Lag = 7 
 Lower = -0.139 
 Upper = 0.1386  Lag = 7 
 Lower = -0.139 
 Upper = 0.1386  Lag = 6 
 Lower = -0.138 
 Upper = 0.1383  Lag = 6 
 Lower = -0.138 
 Upper = 0.1383  Lag = 5 
 Lower = -0.138 
 Upper = 0.1382  Lag = 5 
 Lower = -0.138 
 Upper = 0.1382  Lag = 4 
 Lower = -0.138 
 Upper = 0.1377  Lag = 4 
 Lower = -0.138 
 Upper = 0.1377  Lag = 3 
 Lower = -0.135 
 Upper = 0.1348  Lag = 3 
 Lower = -0.135 
 Upper = 0.1348  Lag = 2 
 Lower = -0.134 
 Upper = 0.1345  Lag = 2 
 Lower = -0.134 
 Upper = 0.1345  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0616  Lag = 23 
 PACF = -0.09  Lag = 22 
 PACF = -0.159  Lag = 21 
 PACF = -0.011  Lag = 20 
 PACF = 0.0044  Lag = 19 
 PACF = 0.0244  Lag = 18 
 PACF = -0.084  Lag = 17 
 PACF = -0.032  Lag = 16 
 PACF = -0.064  Lag = 15 
 PACF = -0.021  Lag = 14 
 PACF = 0.0993  Lag = 13 
 PACF = -0.03  Lag = 12 
 PACF = -0.063  Lag = 11 
 PACF = -0.038  Lag = 10 
 PACF = -0.047  Lag = 9 
 PACF = 0.0394  Lag = 8 
 PACF = 0.0606  Lag = 7 
 PACF = 0.0093  Lag = 6 
 PACF = -0.065  Lag = 5 
 PACF = 0.0178  Lag = 4 
 PACF = 0.0352  Lag = 3 
 PACF = -0.158  Lag = 2 
 PACF = -0.056  Lag = 1 
 PACF = -0.08  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Sep2019 
 Loess Fit = -0.108  Date_of_death = Jul2019 
 Loess Fit = -0.109  Date_of_death = Jul2019 
 Loess Fit = -0.109  Date_of_death = Jun2019 
 Loess Fit = -0.11  Date_of_death = Jun2019 
 Loess Fit = -0.11  Date_of_death = May2019 
 Loess Fit = -0.111  Date_of_death = May2019 
 Loess Fit = -0.111  Date_of_death = Apr2019 
 Loess Fit = -0.112  Date_of_death = Apr2019 
 Loess Fit = -0.112  Date_of_death = Mar2019 
 Loess Fit = -0.113  Date_of_death = Mar2019 
 Loess Fit = -0.113  Date_of_death = Feb2019 
 Loess Fit = -0.114  Date_of_death = Feb2019 
 Loess Fit = -0.114  Date_of_death = Jan2019 
 Loess Fit = -0.115  Date_of_death = Jan2019 
 Loess Fit = -0.115  Date_of_death = Dec2018 
 Loess Fit = -0.116  Date_of_death = Dec2018 
 Loess Fit = -0.116  Date_of_death = Oct2018 
 Loess Fit = -0.117  Date_of_death = Oct2018 
 Loess Fit = -0.117  Date_of_death = Sep2018 
 Loess Fit = -0.118  Date_of_death = Sep2018 
 Loess Fit = -0.118  Date_of_death = Aug2018 
 Loess Fit = -0.119  Date_of_death = Aug2018 
 Loess Fit = -0.119  Date_of_death = Jul2018 
 Loess Fit = -0.12  Date_of_death = Jul2018 
 Loess Fit = -0.12  Date_of_death = Jun2018 
 Loess Fit = -0.121  Date_of_death = Jun2018 
 Loess Fit = -0.121  Date_of_death = May2018 
 Loess Fit = -0.122  Date_of_death = May2018 
 Loess Fit = -0.122  Date_of_death = Apr2018 
 Loess Fit = -0.123  Date_of_death = Apr2018 
 Loess Fit = -0.123  Date_of_death = Mar2018 
 Loess Fit = -0.124  Date_of_death = Mar2018 
 Loess Fit = -0.124  Date_of_death = Feb2018 
 Loess Fit = -0.125  Date_of_death = Feb2018 
 Loess Fit = -0.125  Date_of_death = Dec2017 
 Loess Fit = -0.126  Date_of_death = Dec2017 
 Loess Fit = -0.126  Date_of_death = Nov2017 
 Loess Fit = -0.127  Date_of_death = Nov2017 
 Loess Fit = -0.127  Date_of_death = Oct2017 
 Loess Fit = -0.128  Date_of_death = Oct2017 
 Loess Fit = -0.128  Date_of_death = Sep2017 
 Loess Fit = -0.129  Date_of_death = Sep2017 
 Loess Fit = -0.129  Date_of_death = Aug2017 
 Loess Fit = -0.13  Date_of_death = Aug2017 
 Loess Fit = -0.13  Date_of_death = Jul2017 
 Loess Fit = -0.131  Date_of_death = Jul2017 
 Loess Fit = -0.131  Date_of_death = Jun2017 
 Loess Fit = -0.132  Date_of_death = Jun2017 
 Loess Fit = -0.132  Date_of_death = May2017 
 Loess Fit = -0.133  Date_of_death = May2017 
 Loess Fit = -0.133  Date_of_death = Apr2017 
 Loess Fit = -0.133  Date_of_death = Apr2017 
 Loess Fit = -0.133  Date_of_death = Feb2017 
 Loess Fit = -0.134  Date_of_death = Feb2017 
 Loess Fit = -0.134  Date_of_death = Jan2017 
 Loess Fit = -0.134  Date_of_death = Jan2017 
 Loess Fit = -0.134  Date_of_death = Dec2016 
 Loess Fit = -0.135  Date_of_death = Dec2016 
 Loess Fit = -0.135  Date_of_death = Nov2016 
 Loess Fit = -0.135  Date_of_death = Nov2016 
 Loess Fit = -0.135  Date_of_death = Oct2016 
 Loess Fit = -0.136  Date_of_death = Oct2016 
 Loess Fit = -0.136  Date_of_death = Sep2016 
 Loess Fit = -0.136  Date_of_death = Sep2016 
 Loess Fit = -0.136  Date_of_death = Aug2016 
 Loess Fit = -0.137  Date_of_death = Aug2016 
 Loess Fit = -0.137  Date_of_death = Jul2016 
 Loess Fit = -0.137  Date_of_death = Jul2016 
 Loess Fit = -0.137  Date_of_death = May2016 
 Loess Fit = -0.138  Date_of_death = May2016 
 Loess Fit = -0.138  Date_of_death = Apr2016 
 Loess Fit = -0.138  Date_of_death = Apr2016 
 Loess Fit = -0.138  Date_of_death = Mar2016 
 Loess Fit = -0.139  Date_of_death = Mar2016 
 Loess Fit = -0.139  Date_of_death = Feb2016 
 Loess Fit = -0.14  Date_of_death = Feb2016 
 Loess Fit = -0.14  Date_of_death = Jan2016 
 Loess Fit = -0.14  Date_of_death = Jan2016 
 Loess Fit = -0.14  Date_of_death = Dec2015 
 Loess Fit = -0.141  Date_of_death = Dec2015 
 Loess Fit = -0.141  Date_of_death = Nov2015 
 Loess Fit = -0.141  Date_of_death = Nov2015 
 Loess Fit = -0.141  Date_of_death = Oct2015 
 Loess Fit = -0.142  Date_of_death = Oct2015 
 Loess Fit = -0.142  Date_of_death = Sep2015 
 Loess Fit = -0.142  Date_of_death = Sep2015 
 Loess Fit = -0.142  Date_of_death = Jul2015 
 Loess Fit = -0.143  Date_of_death = Jul2015 
 Loess Fit = -0.143  Date_of_death = Jun2015 
 Loess Fit = -0.143  Date_of_death = Jun2015 
 Loess Fit = -0.143  Date_of_death = May2015 
 Loess Fit = -0.144  Date_of_death = May2015 
 Loess Fit = -0.144  Date_of_death = Apr2015 
 Loess Fit = -0.144  Date_of_death = Apr2015 
 Loess Fit = -0.144  Date_of_death = Mar2015 
 Loess Fit = -0.145  Date_of_death = Mar2015 
 Loess Fit = -0.145  Date_of_death = Feb2015 
 Loess Fit = -0.145  Date_of_death = Feb2015 
 Loess Fit = -0.145  Date_of_death = Jan2015 
 Loess Fit = -0.146  Date_of_death = Jan2015 
 Loess Fit = -0.146  Date_of_death = Dec2014 
 Loess Fit = -0.146  Date_of_death = Dec2014 
 Loess Fit = -0.146  Date_of_death = Nov2014 
 Loess Fit = -0.146  Date_of_death = Nov2014 
 Loess Fit = -0.146  Date_of_death = Sep2014 
 Loess Fit = -0.146  Date_of_death = Sep2014 
 Loess Fit = -0.146  Date_of_death = Aug2014 
 Loess Fit = -0.147  Date_of_death = Aug2014 
 Loess Fit = -0.147  Date_of_death = Jul2014 
 Loess Fit = -0.147  Date_of_death = Jul2014 
 Loess Fit = -0.147  Date_of_death = Jun2014 
 Loess Fit = -0.147  Date_of_death = Jun2014 
 Loess Fit = -0.147  Date_of_death = May2014 
 Loess Fit = -0.147  Date_of_death = May2014 
 Loess Fit = -0.147  Date_of_death = Apr2014 
 Loess Fit = -0.147  Date_of_death = Apr2014 
 Loess Fit = -0.147  Date_of_death = Mar2014 
 Loess Fit = -0.147  Date_of_death = Mar2014 
 Loess Fit = -0.147  Date_of_death = Feb2014 
 Loess Fit = -0.148  Date_of_death = Feb2014 
 Loess Fit = -0.148  Date_of_death = Dec2013 
 Loess Fit = -0.148  Date_of_death = Dec2013 
 Loess Fit = -0.148  Date_of_death = Nov2013 
 Loess Fit = -0.148  Date_of_death = Nov2013 
 Loess Fit = -0.148  Date_of_death = Oct2013 
 Loess Fit = -0.148  Date_of_death = Oct2013 
 Loess Fit = -0.148  Date_of_death = Sep2013 
 Loess Fit = -0.148  Date_of_death = Sep2013 
 Loess Fit = -0.148  Date_of_death = Aug2013 
 Loess Fit = -0.148  Date_of_death = Aug2013 
 Loess Fit = -0.148  Date_of_death = Jul2013 
 Loess Fit = -0.148  Date_of_death = Jul2013 
 Loess Fit = -0.148  Date_of_death = Jun2013 
 Loess Fit = -0.149  Date_of_death = Jun2013 
 Loess Fit = -0.149  Date_of_death = May2013 
 Loess Fit = -0.149  Date_of_death = May2013 
 Loess Fit = -0.149  Date_of_death = Apr2013 
 Loess Fit = -0.149  Date_of_death = Apr2013 
 Loess Fit = -0.149  Date_of_death = Feb2013 
 Loess Fit = -0.149  Date_of_death = Feb2013 
 Loess Fit = -0.149  Date_of_death = Jan2013 
 Loess Fit = -0.149  Date_of_death = Jan2013 
 Loess Fit = -0.149  Date_of_death = Dec2012 
 Loess Fit = -0.149  Date_of_death = Dec2012 
 Loess Fit = -0.149  Date_of_death = Nov2012 
 Loess Fit = -0.15  Date_of_death = Nov2012 
 Loess Fit = -0.15  Date_of_death = Oct2012 
 Loess Fit = -0.15  Date_of_death = Oct2012 
 Loess Fit = -0.15  Date_of_death = Sep2012 
 Loess Fit = -0.15  Date_of_death = Sep2012 
 Loess Fit = -0.15  Date_of_death = Aug2012 
 Loess Fit = -0.15  Date_of_death = Aug2012 
 Loess Fit = -0.15  Date_of_death = Jul2012 
 Loess Fit = -0.15  Date_of_death = Jul2012 
 Loess Fit = -0.15  Date_of_death = Jun2012 
 Loess Fit = -0.15  Date_of_death = Jun2012 
 Loess Fit = -0.15  Date_of_death = Apr2012 
 Loess Fit = -0.149  Date_of_death = Apr2012 
 Loess Fit = -0.149  Date_of_death = Mar2012 
 Loess Fit = -0.149  Date_of_death = Mar2012 
 Loess Fit = -0.149  Date_of_death = Feb2012 
 Loess Fit = -0.149  Date_of_death = Feb2012 
 Loess Fit = -0.149  Date_of_death = Jan2012 
 Loess Fit = -0.149  Date_of_death = Jan2012 
 Loess Fit = -0.149  Date_of_death = Dec2011 
 Loess Fit = -0.149  Date_of_death = Dec2011 
 Loess Fit = -0.149  Date_of_death = Nov2011 
 Loess Fit = -0.149  Date_of_death = Nov2011 
 Loess Fit = -0.149  Date_of_death = Oct2011 
 Loess Fit = -0.149  Date_of_death = Oct2011 
 Loess Fit = -0.149  Date_of_death = Sep2011 
 Loess Fit = -0.149  Date_of_death = Sep2011 
 Loess Fit = -0.149  Date_of_death = Aug2011 
 Loess Fit = -0.149  Date_of_death = Aug2011 
 Loess Fit = -0.149  Date_of_death = Jun2011 
 Loess Fit = -0.148  Date_of_death = Jun2011 
 Loess Fit = -0.148  Date_of_death = May2011 
 Loess Fit = -0.148  Date_of_death = May2011 
 Loess Fit = -0.148  Date_of_death = Apr2011 
 Loess Fit = -0.148  Date_of_death = Apr2011 
 Loess Fit = -0.148  Date_of_death = Mar2011 
 Loess Fit = -0.148  Date_of_death = Mar2011 
 Loess Fit = -0.148  Date_of_death = Feb2011 
 Loess Fit = -0.148  Date_of_death = Feb2011 
 Loess Fit = -0.148  Date_of_death = Jan2011 
 Loess Fit = -0.148  Date_of_death = Jan2011 
 Loess Fit = -0.148  Date_of_death = Dec2010 
 Loess Fit = -0.148  Date_of_death = Dec2010 
 Loess Fit = -0.148  Date_of_death = Nov2010 
 Loess Fit = -0.148  Date_of_death = Nov2010 
 Loess Fit = -0.148  Date_of_death = Sep2010 
 Loess Fit = -0.148  Date_of_death = Sep2010 
 Loess Fit = -0.148  Date_of_death = Aug2010 
 Loess Fit = -0.147  Date_of_death = Aug2010 
 Loess Fit = -0.147  Date_of_death = Jul2010 
 Loess Fit = -0.147  Date_of_death = Jul2010 
 Loess Fit = -0.147  Date_of_death = Jun2010 
 Loess Fit = -0.147  Date_of_death = Jun2010 
 Loess Fit = -0.147  Date_of_death = May2010 
 Loess Fit = -0.147  Date_of_death = May2010 
 Loess Fit = -0.147  Date_of_death = Apr2010 
 Loess Fit = -0.147  Date_of_death = Apr2010 
 Loess Fit = -0.147  Date_of_death = Mar2010 
 Loess Fit = -0.146  Date_of_death = Mar2010 
 Loess Fit = -0.146  Date_of_death = Feb2010 
 Loess Fit = -0.145  Date_of_death = Feb2010 
 Loess Fit = -0.145  Date_of_death = Jan2010 
 Loess Fit = -0.145  Date_of_death = Jan2010 
 Loess Fit = -0.145  Date_of_death = Nov2009 
 Loess Fit = -0.144  Date_of_death = Nov2009 
 Loess Fit = -0.144  Date_of_death = Oct2009 
 Loess Fit = -0.143  Date_of_death = Oct2009 
 Loess Fit = -0.143  Date_of_death = Sep2009 
 Loess Fit = -0.143  Date_of_death = Sep2009 
 Loess Fit = -0.143  Date_of_death = Aug2009 
 Loess Fit = -0.142  Date_of_death = Aug2009 
 Loess Fit = -0.142  Date_of_death = Jul2009 
 Loess Fit = -0.141  Date_of_death = Jul2009 
 Loess Fit = -0.141  Date_of_death = Jun2009 
 Loess Fit = -0.14  Date_of_death = Jun2009 
 Loess Fit = -0.14  Date_of_death = May2009 
 Loess Fit = -0.14  Date_of_death = May2009 
 Loess Fit = -0.14  Date_of_death = Apr2009 
 Loess Fit = -0.139  Date_of_death = Apr2009 
 Loess Fit = -0.139  Date_of_death = Mar2009 
 Loess Fit = -0.138  Date_of_death = Mar2009 
 Loess Fit = -0.138  Date_of_death = Jan2009 
 Loess Fit = -0.138  Date_of_death = Jan2009 
 Loess Fit = -0.138  Date_of_death = Dec2008 
 Loess Fit = -0.137  Date_of_death = Dec2008 
 Loess Fit = -0.137  Date_of_death = Nov2008 
 Loess Fit = -0.136  Date_of_death = Nov2008 
 Loess Fit = -0.136  Date_of_death = Oct2008 
 Loess Fit = -0.136  Date_of_death = Oct2008 
 Loess Fit = -0.136  Date_of_death = Sep2008 
 Loess Fit = -0.135  Date_of_death = Sep2008 
 Loess Fit = -0.135  Date_of_death = Aug2008 
 Loess Fit = -0.134  Date_of_death = Aug2008 
 Loess Fit = -0.134  Date_of_death = Jul2008 
 Loess Fit = -0.134  Date_of_death = Jul2008 
 Loess Fit = -0.134  Date_of_death = Jun2008 
 Loess Fit = -0.133  Date_of_death = Jun2008 
 Loess Fit = -0.133  Date_of_death = May2008 
 Loess Fit = -0.132  Date_of_death = May2008 
 Loess Fit = -0.132  Date_of_death = Mar2008 
 Loess Fit = -0.131  Date_of_death = Mar2008 
 Loess Fit = -0.131  Date_of_death = Feb2008 
 Loess Fit = -0.131  Date_of_death = Feb2008 
 Loess Fit = -0.131  Date_of_death = Jan2008 
 Loess Fit = -0.13  Date_of_death = Jan2008 
 Loess Fit = -0.13  Date_of_death = Dec2007 
 Loess Fit = -0.129  Date_of_death = Dec2007 
 Loess Fit = -0.129  Date_of_death = Nov2007 
 Loess Fit = -0.129  Date_of_death = Nov2007 
 Loess Fit = -0.129  Date_of_death = Oct2007 
 Loess Fit = -0.128  Date_of_death = Oct2007 
 Loess Fit = -0.128  Date_of_death = Sep2007 
 Loess Fit = -0.127  Date_of_death = Sep2007 
 Loess Fit = -0.127  Date_of_death = Aug2007 
 Loess Fit = -0.127  Date_of_death = Aug2007 
 Loess Fit = -0.127  Date_of_death = Jul2007 
 Loess Fit = -0.126  Date_of_death = Jul2007 
 Loess Fit = -0.126  Date_of_death = May2007 
 Loess Fit = -0.125  Date_of_death = May2007 
 Loess Fit = -0.125  Date_of_death = Apr2007 
 Loess Fit = -0.125  Date_of_death = Apr2007 
 Loess Fit = -0.125  Date_of_death = Mar2007 
 Loess Fit = -0.124  Date_of_death = Mar2007 
 Loess Fit = -0.124  Date_of_death = Feb2007 
 Loess Fit = -0.123  Date_of_death = Feb2007 
 Loess Fit = -0.123  Date_of_death = Jan2007 
 Loess Fit = -0.123  Date_of_death = Jan2007 
 Loess Fit = -0.123  Date_of_death = Dec2006 
 Loess Fit = -0.122  Date_of_death = Dec2006 
 Loess Fit = -0.122  Date_of_death = Nov2006 
 Loess Fit = -0.121  Date_of_death = Nov2006 
 Loess Fit = -0.121  Date_of_death = Oct2006 
 Loess Fit = -0.121  Date_of_death = Oct2006 
 Loess Fit = -0.121  Date_of_death = Aug2006 
 Loess Fit = -0.12  Date_of_death = Aug2006 
 Loess Fit = -0.12  Date_of_death = Jul2006 
 Loess Fit = -0.119  Date_of_death = Jul2006 
 Loess Fit = -0.119  Date_of_death = Jun2006 
 Loess Fit = -0.118  Date_of_death = Jun2006 
 Loess Fit = -0.118  Date_of_death = May2006 
 Loess Fit = -0.118  Date_of_death = May2006 
 Loess Fit = -0.118  Date_of_death = Apr2006 
 Loess Fit = -0.117  Date_of_death = Apr2006 
 Loess Fit = -0.117  Date_of_death = Mar2006 
 Loess Fit = -0.116  Date_of_death = Mar2006 
 Loess Fit = -0.116  Date_of_death = Feb2006 
 Loess Fit = -0.116  Date_of_death = Feb2006 
 Loess Fit = -0.116  Date_of_death = Jan2006 
 Loess Fit = -0.115  Date_of_death = Jan2006 
 Loess Fit = -0.115  Date_of_death = Dec2005 
 Loess Fit = -0.114  Date_of_death = Dec2005 
 Loess Fit = -0.114  Date_of_death = Oct2005 
 Loess Fit = -0.114  Date_of_death = Oct2005 
 Loess Fit = -0.114  Date_of_death = Sep2005 
 Loess Fit = -0.113  Date_of_death = Sep2005 
 Loess Fit = -0.113  Date_of_death = Aug2005 
 Loess Fit = -0.112  Date_of_death = Aug2005 
 Loess Fit = -0.112  Date_of_death = Jul2005 
 Loess Fit = -0.112  Date_of_death = Jul2005 
 Loess Fit = -0.112  Date_of_death = Jun2005 
 Loess Fit = -0.111  Date_of_death = Jun2005 
 Loess Fit = -0.111  Date_of_death = May2005 
 Loess Fit = -0.11  Date_of_death = May2005 
 Loess Fit = -0.11  Date_of_death = Apr2005 
 Loess Fit = -0.109  Date_of_death = Apr2005 
 Loess Fit = -0.109  Date_of_death = Mar2005 
 Loess Fit = -0.108  Date_of_death = Mar2005 
 Loess Fit = -0.108  Date_of_death = Jan2005 
 Loess Fit = -0.108  Date_of_death = Jan2005 
 Loess Fit = -0.108  Date_of_death = Dec2004 
 Loess Fit = -0.107  Date_of_death = Dec2004 
 Loess Fit = -0.107  Date_of_death = Nov2004 
 Loess Fit = -0.106  Date_of_death = Nov2004 
 Loess Fit = -0.106  Date_of_death = Oct2004 
 Loess Fit = -0.105  Date_of_death = Oct2004 
 Loess Fit = -0.105  Date_of_death = Sep2004 
 Loess Fit = -0.104  Date_of_death = Sep2004 
 Loess Fit = -0.104  Date_of_death = Aug2004 
 Loess Fit = -0.103  Date_of_death = Aug2004 
 Loess Fit = -0.103  Date_of_death = Jul2004 
 Loess Fit = -0.103  Date_of_death = Jul2004 
 Loess Fit = -0.103  Date_of_death = Jun2004 
 Loess Fit = -0.102  Date_of_death = Jun2004 
 Loess Fit = -0.102  Date_of_death = May2004 
 Loess Fit = -0.101  Date_of_death = May2004 
 Loess Fit = -0.101  Date_of_death = Mar2004 
 Loess Fit = -0.1  Date_of_death = Mar2004 
 Loess Fit = -0.1  Date_of_death = Feb2004 
 Loess Fit = -0.099  Date_of_death = Feb2004 
 Loess Fit = -0.099  Date_of_death = Jan2004 
 Loess Fit = -0.099  Date_of_death = Jan2004 
 Loess Fit = -0.099  Date_of_death = Dec2003 
 Loess Fit = -0.098  Date_of_death = Dec2003 
 Loess Fit = -0.098  Date_of_death = Nov2003 
 Loess Fit = -0.097  Date_of_death = Nov2003 
 Loess Fit = -0.097  Date_of_death = Oct2003 
 Loess Fit = -0.096  Date_of_death = Oct2003 
 Loess Fit = -0.096  Date_of_death = Sep2003 
 Loess Fit = -0.095  Date_of_death = Sep2003 
 Loess Fit = -0.095  Date_of_death = Aug2003 
 Loess Fit = -0.095  Date_of_death = Aug2003 
 Loess Fit = -0.095  Date_of_death = Jul2003 
 Loess Fit = -0.094  Date_of_death = Jul2003 
 Loess Fit = -0.094  Date_of_death = May2003 
 Loess Fit = -0.093  Date_of_death = May2003 
 Loess Fit = -0.093  Date_of_death = Apr2003 
 Loess Fit = -0.092  Date_of_death = Apr2003 
 Loess Fit = -0.092  Date_of_death = Mar2003 
 Loess Fit = -0.092  Date_of_death = Mar2003 
 Loess Fit = -0.092  Date_of_death = Feb2003 
 Loess Fit = -0.091  Date_of_death = Feb2003 
 Loess Fit = -0.091  Date_of_death = Jan2003 
 Loess Fit = -0.091  Date_of_death = Jan2003 
 Loess Fit = -0.091  Date_of_death = Dec2002 
 Loess Fit = -0.09  Date_of_death = Dec2002 
 Loess Fit = -0.09  Date_of_death = Nov2002 
 Loess Fit = -0.089  Date_of_death = Nov2002 
 Loess Fit = -0.089  Date_of_death = Oct2002 
 Loess Fit = -0.089  Date_of_death = Oct2002 
 Loess Fit = -0.089  Date_of_death = Aug2002 
 Loess Fit = -0.088  Date_of_death = Aug2002 
 Loess Fit = -0.088  Date_of_death = Jul2002 
 Loess Fit = -0.088  Date_of_death = Jul2002 
 Loess Fit = -0.088  Date_of_death = Jun2002 
 Loess Fit = -0.087  Date_of_death = Jun2002 
 Loess Fit = -0.087  Date_of_death = May2002 
 Loess Fit = -0.086  Date_of_death = May2002 
 Loess Fit = -0.086  Date_of_death = Apr2002 
 Loess Fit = -0.086  Date_of_death = Apr2002 
 Loess Fit = -0.086  Date_of_death = Mar2002 
 Loess Fit = -0.085  Date_of_death = Mar2002 
 Loess Fit = -0.085  Date_of_death = Feb2002 
 Loess Fit = -0.085  Date_of_death = Feb2002 
 Loess Fit = -0.085  Date_of_death = Jan2002 
 Loess Fit = -0.084  Date_of_death = Jan2002 
 Loess Fit = -0.084  Date_of_death = Dec2001 
 Loess Fit = -0.084  Date_of_death = Dec2001 
 Loess Fit = -0.084  Date_of_death = Oct2001 
 Loess Fit = -0.083  Date_of_death = Oct2001 
 Loess Fit = -0.083  Date_of_death = Sep2001 
 Loess Fit = -0.082  Date_of_death = Sep2001 
 Loess Fit = -0.082  Date_of_death = Aug2001 
 Loess Fit = -0.082  Date_of_death = Aug2001 
 Loess Fit = -0.082  Date_of_death = Jul2001 
 Loess Fit = -0.081  Date_of_death = Jul2001 
 Loess Fit = -0.081  Date_of_death = Jun2001 
 Loess Fit = -0.081  Date_of_death = Jun2001 
 Loess Fit = -0.081  Date_of_death = May2001 
 Loess Fit = -0.08  Date_of_death = May2001 
 Loess Fit = -0.08  Date_of_death = Apr2001 
 Loess Fit = -0.08  Date_of_death = Apr2001 
 Loess Fit = -0.08  Date_of_death = Mar2001 
 Loess Fit = -0.079  Date_of_death = Mar2001 
 Loess Fit = -0.079  Date_of_death = Feb2001 
 Loess Fit = -0.078  Date_of_death = Sep2019 
 Prediction Error = -1.9  Date_of_death = Aug2019 
 Prediction Error = 1.2277  Date_of_death = Jul2019 
 Prediction Error = 1.3861  Date_of_death = Jun2019 
 Prediction Error = -1.879  Date_of_death = May2019 
 Prediction Error = -0.115  Date_of_death = Apr2019 
 Prediction Error = 1.1146  Date_of_death = Mar2019 
 Prediction Error = -0.593  Date_of_death = Feb2019 
 Prediction Error = 1.7722  Date_of_death = Jan2019 
 Prediction Error = 1.1067  Date_of_death = Dec2018 
 Prediction Error = 2.3666  Date_of_death = Nov2018 
 Prediction Error = 1.3634  Date_of_death = Oct2018 
 Prediction Error = -1.193  Date_of_death = Sep2018 
 Prediction Error = -2.134  Date_of_death = Aug2018 
 Prediction Error = -1.981  Date_of_death = Jul2018 
 Prediction Error = -1.714  Date_of_death = Jun2018 
 Prediction Error = 1.381  Date_of_death = May2018 
 Prediction Error = -1.36  Date_of_death = Apr2018 
 Prediction Error = 1.3457  Date_of_death = Mar2018 
 Prediction Error = 1.5262  Date_of_death = Feb2018 
 Prediction Error = -1.536  Date_of_death = Jan2018 
 Prediction Error = -2.285  Date_of_death = Dec2017 
 Prediction Error = -0.793  Date_of_death = Nov2017 
 Prediction Error = 1.5601  Date_of_death = Oct2017 
 Prediction Error = 0.8979  Date_of_death = Sep2017 
 Prediction Error = -2.477  Date_of_death = Aug2017 
 Prediction Error = -1.039  Date_of_death = Jul2017 
 Prediction Error = 1.4522  Date_of_death = Jun2017 
 Prediction Error = -0.754  Date_of_death = May2017 
 Prediction Error = -1.65  Date_of_death = Apr2017 
 Prediction Error = 1.4996  Date_of_death = Mar2017 
 Prediction Error = 1.7275  Date_of_death = Feb2017 
 Prediction Error = -1.786  Date_of_death = Jan2017 
 Prediction Error = 0.8958  Date_of_death = Dec2016 
 Prediction Error = -1.01  Date_of_death = Nov2016 
 Prediction Error = 1.7905  Date_of_death = Oct2016 
 Prediction Error = -1.259  Date_of_death = Sep2016 
 Prediction Error = 0.6835  Date_of_death = Aug2016 
 Prediction Error = 1.0657  Date_of_death = Jul2016 
 Prediction Error = 1.7027  Date_of_death = Jun2016 
 Prediction Error = 1.4966  Date_of_death = May2016 
 Prediction Error = -0.79  Date_of_death = Apr2016 
 Prediction Error = -0.564  Date_of_death = Mar2016 
 Prediction Error = -1.359  Date_of_death = Feb2016 
 Prediction Error = 1.4685  Date_of_death = Jan2016 
 Prediction Error = 1.0786  Date_of_death = Dec2015 
 Prediction Error = -1.215  Date_of_death = Nov2015 
 Prediction Error = -0.127  Date_of_death = Oct2015 
 Prediction Error = -1.443  Date_of_death = Sep2015 
 Prediction Error = 0.8191  Date_of_death = Aug2015 
 Prediction Error = -2.335  Date_of_death = Jul2015 
 Prediction Error = -0.364  Date_of_death = Jun2015 
 Prediction Error = -1.763  Date_of_death = May2015 
 Prediction Error = 1.4224  Date_of_death = Apr2015 
 Prediction Error = -1.868  Date_of_death = Mar2015 
 Prediction Error = 1.8542  Date_of_death = Feb2015 
 Prediction Error = -1.937  Date_of_death = Jan2015 
 Prediction Error = 1.274  Date_of_death = Dec2014 
 Prediction Error = -1.508  Date_of_death = Nov2014 
 Prediction Error = 2.2102  Date_of_death = Oct2014 
 Prediction Error = -1.811  Date_of_death = Sep2014 
 Prediction Error = -2.464  Date_of_death = Aug2014 
 Prediction Error = 0.8187  Date_of_death = Jul2014 
 Prediction Error = -1.595  Date_of_death = Jun2014 
 Prediction Error = -2.103  Date_of_death = May2014 
 Prediction Error = 1.7117  Date_of_death = Apr2014 
 Prediction Error = 1.1573  Date_of_death = Mar2014 
 Prediction Error = -1.366  Date_of_death = Feb2014 
 Prediction Error = 1.1882  Date_of_death = Jan2014 
 Prediction Error = 1.4562  Date_of_death = Dec2013 
 Prediction Error = -0.736  Date_of_death = Nov2013 
 Prediction Error = -0.88  Date_of_death = Oct2013 
 Prediction Error = -0.863  Date_of_death = Sep2013 
 Prediction Error = 0.6159  Date_of_death = Aug2013 
 Prediction Error = 0.9876  Date_of_death = Jul2013 
 Prediction Error = -1.809  Date_of_death = Jun2013 
 Prediction Error = -0.112  Date_of_death = May2013 
 Prediction Error = -0.373  Date_of_death = Apr2013 
 Prediction Error = 1.3915  Date_of_death = Mar2013 
 Prediction Error = -1.679  Date_of_death = Feb2013 
 Prediction Error = 1.3623  Date_of_death = Jan2013 
 Prediction Error = -1.847  Date_of_death = Dec2012 
 Prediction Error = 1.5305  Date_of_death = Nov2012 
 Prediction Error = 0.1171  Date_of_death = Oct2012 
 Prediction Error = -2.213  Date_of_death = Sep2012 
 Prediction Error = 0.7257  Date_of_death = Aug2012 
 Prediction Error = -1.173  Date_of_death = Jul2012 
 Prediction Error = 0.2371  Date_of_death = Jun2012 
 Prediction Error = 1.0239  Date_of_death = May2012 
 Prediction Error = 0.6478  Date_of_death = Apr2012 
 Prediction Error = 1.6506  Date_of_death = Mar2012 
 Prediction Error = -2.045  Date_of_death = Feb2012 
 Prediction Error = -1.813  Date_of_death = Jan2012 
 Prediction Error = 1.3467  Date_of_death = Dec2011 
 Prediction Error = 0.5691  Date_of_death = Nov2011 
 Prediction Error = -0.993  Date_of_death = Oct2011 
 Prediction Error = -1.419  Date_of_death = Sep2011 
 Prediction Error = 0.9169  Date_of_death = Aug2011 
 Prediction Error = -0.235  Date_of_death = Jul2011 
 Prediction Error = -2.109  Date_of_death = Jun2011 
 Prediction Error = -1.151  Date_of_death = May2011 
 Prediction Error = -0.492  Date_of_death = Apr2011 
 Prediction Error = -0.406  Date_of_death = Mar2011 
 Prediction Error = 1.1302  Date_of_death = Feb2011 
 Prediction Error = -1.071  Date_of_death = Jan2011 
 Prediction Error = -2.002  Date_of_death = Dec2010 
 Prediction Error = -0.503  Date_of_death = Nov2010 
 Prediction Error = -1.191  Date_of_death = Oct2010 
 Prediction Error = 0.6088  Date_of_death = Sep2010 
 Prediction Error = -2.548  Date_of_death = Aug2010 
 Prediction Error = -0.243  Date_of_death = Jul2010 
 Prediction Error = -2.526  Date_of_death = Jun2010 
 Prediction Error = 0.989  Date_of_death = May2010 
 Prediction Error = -1.86  Date_of_death = Apr2010 
 Prediction Error = 1.7916  Date_of_death = Mar2010 
 Prediction Error = 1.2268  Date_of_death = Feb2010 
 Prediction Error = 1.0527  Date_of_death = Jan2010 
 Prediction Error = 1.1324  Date_of_death = Dec2009 
 Prediction Error = -1.799  Date_of_death = Nov2009 
 Prediction Error = -1.409  Date_of_death = Oct2009 
 Prediction Error = 0.8004  Date_of_death = Sep2009 
 Prediction Error = 0.5191  Date_of_death = Aug2009 
 Prediction Error = -1.409  Date_of_death = Jul2009 
 Prediction Error = -2.977  Date_of_death = Jun2009 
 Prediction Error = 1.2864  Date_of_death = May2009 
 Prediction Error = 1.2688  Date_of_death = Apr2009 
 Prediction Error = 2.0465  Date_of_death = Mar2009 
 Prediction Error = -1.006  Date_of_death = Feb2009 
 Prediction Error = -1.152  Date_of_death = Jan2009 
 Prediction Error = -2.185  Date_of_death = Dec2008 
 Prediction Error = -2.093  Date_of_death = Nov2008 
 Prediction Error = 1.8836  Date_of_death = Oct2008 
 Prediction Error = 0.8593  Date_of_death = Sep2008 
 Prediction Error = 0.607  Date_of_death = Aug2008 
 Prediction Error = 0.7657  Date_of_death = Jul2008 
 Prediction Error = -0.009  Date_of_death = Jun2008 
 Prediction Error = -2.08  Date_of_death = May2008 
 Prediction Error = -2.104  Date_of_death = Apr2008 
 Prediction Error = -1.119  Date_of_death = Mar2008 
 Prediction Error = 1.1902  Date_of_death = Feb2008 
 Prediction Error = 1.0089  Date_of_death = Jan2008 
 Prediction Error = 1.0083  Date_of_death = Dec2007 
 Prediction Error = -2.586  Date_of_death = Nov2007 
 Prediction Error = -1.338  Date_of_death = Oct2007 
 Prediction Error = -2.613  Date_of_death = Sep2007 
 Prediction Error = 0.6985  Date_of_death = Aug2007 
 Prediction Error = 0.8377  Date_of_death = Jul2007 
 Prediction Error = -0.037  Date_of_death = Jun2007 
 Prediction Error = 1.1244  Date_of_death = May2007 
 Prediction Error = 1.0711  Date_of_death = Apr2007 
 Prediction Error = 2.2139  Date_of_death = Mar2007 
 Prediction Error = 1.3661  Date_of_death = Feb2007 
 Prediction Error = 1.1706  Date_of_death = Jan2007 
 Prediction Error = 1.2905  Date_of_death = Dec2006 
 Prediction Error = 0.5641  Date_of_death = Nov2006 
 Prediction Error = -1.516  Date_of_death = Oct2006 
 Prediction Error = 0.5651  Date_of_death = Sep2006 
 Prediction Error = 0.9012  Date_of_death = Aug2006 
 Prediction Error = 1.0866  Date_of_death = Jul2006 
 Prediction Error = -0.011  Date_of_death = Jun2006 
 Prediction Error = 1.4254  Date_of_death = May2006 
 Prediction Error = 1.3031  Date_of_death = Apr2006 
 Prediction Error = -0.958  Date_of_death = Mar2006 
 Prediction Error = 1.7098  Date_of_death = Feb2006 
 Prediction Error = 1.42  Date_of_death = Jan2006 
 Prediction Error = 1.6243  Date_of_death = Dec2005 
 Prediction Error = -2.983  Date_of_death = Nov2005 
 Prediction Error = -1.808  Date_of_death = Oct2005 
 Prediction Error = 0.7534  Date_of_death = Sep2005 
 Prediction Error = 1.1219  Date_of_death = Aug2005 
 Prediction Error = -2.383  Date_of_death = Jul2005 
 Prediction Error = 0.0083  Date_of_death = Jun2005 
 Prediction Error = -1.998  Date_of_death = May2005 
 Prediction Error = -2.087  Date_of_death = Apr2005 
 Prediction Error = -1.232  Date_of_death = Mar2005 
 Prediction Error = -1.68  Date_of_death = Feb2005 
 Prediction Error = 1.694  Date_of_death = Jan2005 
 Prediction Error = 2.0658  Date_of_death = Dec2004 
 Prediction Error = -0.013  Date_of_death = Nov2004 
 Prediction Error = 1.4961  Date_of_death = Oct2004 
 Prediction Error = -2.984  Date_of_death = Sep2004 
 Prediction Error = 1.4944  Date_of_death = Aug2004 
 Prediction Error = 0.7492  Date_of_death = Jul2004 
 Prediction Error = 0.0198  Date_of_death = Jun2004 
 Prediction Error = 1.335  Date_of_death = May2004 
 Prediction Error = 1.206  Date_of_death = Apr2004 
 Prediction Error = -1.542  Date_of_death = Mar2004 
 Prediction Error = -2.152  Date_of_death = Feb2004 
 Prediction Error = 2.1983  Date_of_death = Jan2004 
 Prediction Error = -1.298  Date_of_death = Dec2003 
 Prediction Error = -0.027  Date_of_death = Nov2003 
 Prediction Error = -2.007  Date_of_death = Oct2003 
 Prediction Error = 0.0231  Date_of_death = Sep2003 
 Prediction Error = 2.0303  Date_of_death = Aug2003 
 Prediction Error = 1.0028  Date_of_death = Jul2003 
 Prediction Error = -0.007  Date_of_death = Jun2003 
 Prediction Error = -2.312  Date_of_death = May2003 
 Prediction Error = 1.6866  Date_of_death = Apr2003 
 Prediction Error = 2.0154  Date_of_death = Mar2003 
 Prediction Error = -3  Date_of_death = Feb2003 
 Prediction Error = -1.053  Date_of_death = Jan2003 
 Prediction Error = -1.982  Date_of_death = Dec2002 
 Prediction Error = -0.002  Date_of_death = Nov2002 
 Prediction Error = 1.5177  Date_of_death = Oct2002 
 Prediction Error = -0.01  Date_of_death = Sep2002 
 Prediction Error = -1.512  Date_of_death = Aug2002 
 Prediction Error = 1.5258  Date_of_death = Jul2002 
 Prediction Error = -77E-5  Date_of_death = Jun2002 
 Prediction Error = 1.0199  Date_of_death = May2002 
 Prediction Error = -0.535  Date_of_death = Apr2002 
 Prediction Error = -1.476  Date_of_death = Mar2002 
 Prediction Error = 0.0189  Date_of_death = Feb2002 
 Prediction Error = 3.0005  Date_of_death = Jan2002 
 Prediction Error = -1.995  Date_of_death = Dec2001 
 Prediction Error = -0.009  Date_of_death = Nov2001 
 Prediction Error = -2.999  Date_of_death = Oct2001 
 Prediction Error = 0.0169  Date_of_death = Sep2001 
 Prediction Error = 2.9923  Date_of_death = Aug2001 
 Prediction Error = -2.997  Date_of_death = Jul2001 
 Prediction Error = -0.007  Date_of_death = Jun2001 
 Prediction Error = -1.985  Date_of_death = May2001 
 Prediction Error = 2.9899  Date_of_death = Apr2001 
 Prediction Error = -3  Date_of_death = Mar2001 
 Prediction Error = -9E-16  Date_of_death = Feb2001 
 Prediction Error = -4E-16  Date_of_death = Sep2019 
 2*STD = 2.913 
 -2*STD = -2.913  Date_of_death = Aug2019 
 2*STD = 2.913 
 -2*STD = -2.913  Date_of_death = Aug2019 
 2*STD = 2.913 
 -2*STD = -2.913  Date_of_death = Jul2019 
 2*STD = 2.913 
 -2*STD = -2.913  Date_of_death = Jul2019 
 2*STD = 2.913 
 -2*STD = -2.913  Date_of_death = Jun2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Jun2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = May2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = May2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Apr2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Apr2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Mar2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Mar2019 
 2*STD = 2.9131 
 -2*STD = -2.913  Date_of_death = Feb2019 
 2*STD = 2.9132 
 -2*STD = -2.913  Date_of_death = Feb2019 
 2*STD = 2.9132 
 -2*STD = -2.913  Date_of_death = Jan2019 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Jan2019 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Dec2018 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Dec2018 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Nov2018 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Nov2018 
 2*STD = 2.9138 
 -2*STD = -2.914  Date_of_death = Oct2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Oct2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Sep2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Sep2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Aug2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Aug2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Jul2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Jul2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Jun2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = Jun2018 
 2*STD = 2.9139 
 -2*STD = -2.914  Date_of_death = May2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = May2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = Apr2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = Apr2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = Mar2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = Mar2018 
 2*STD = 2.914 
 -2*STD = -2.914  Date_of_death = Feb2018 
 2*STD = 2.9141 
 -2*STD = -2.914  Date_of_death = Feb2018 
 2*STD = 2.9141 
 -2*STD = -2.914  Date_of_death = Jan2018 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Jan2018 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Dec2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Dec2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Nov2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Nov2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Oct2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Oct2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Sep2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Sep2017 
 2*STD = 2.9149 
 -2*STD = -2.915  Date_of_death = Aug2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Aug2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Jul2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Jul2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Jun2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Jun2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = May2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = May2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Apr2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Apr2017 
 2*STD = 2.915 
 -2*STD = -2.915  Date_of_death = Mar2017 
 2*STD = 2.9151 
 -2*STD = -2.915  Date_of_death = Mar2017 
 2*STD = 2.9151 
 -2*STD = -2.915  Date_of_death = Feb2017 
 2*STD = 2.9151 
 -2*STD = -2.915  Date_of_death = Feb2017 
 2*STD = 2.9151 
 -2*STD = -2.915  Date_of_death = Jan2017 
 2*STD = 2.9161 
 -2*STD = -2.916  Date_of_death = Jan2017 
 2*STD = 2.9161 
 -2*STD = -2.916  Date_of_death = Dec2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Dec2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Nov2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Nov2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Oct2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Oct2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Sep2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Sep2016 
 2*STD = 2.9162 
 -2*STD = -2.916  Date_of_death = Aug2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Aug2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Jul2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Jul2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Jun2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Jun2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = May2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = May2016 
 2*STD = 2.9163 
 -2*STD = -2.916  Date_of_death = Apr2016 
 2*STD = 2.9164 
 -2*STD = -2.916  Date_of_death = Apr2016 
 2*STD = 2.9164 
 -2*STD = -2.916  Date_of_death = Mar2016 
 2*STD = 2.9164 
 -2*STD = -2.916  Date_of_death = Mar2016 
 2*STD = 2.9164 
 -2*STD = -2.916  Date_of_death = Feb2016 
 2*STD = 2.9165 
 -2*STD = -2.916  Date_of_death = Feb2016 
 2*STD = 2.9165 
 -2*STD = -2.916  Date_of_death = Jan2016 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Jan2016 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Dec2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Dec2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Nov2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Nov2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Oct2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Oct2015 
 2*STD = 2.9178 
 -2*STD = -2.918  Date_of_death = Sep2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Sep2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Aug2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Aug2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Jul2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Jul2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Jun2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = Jun2015 
 2*STD = 2.9179 
 -2*STD = -2.918  Date_of_death = May2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = May2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = Apr2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = Apr2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = Mar2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = Mar2015 
 2*STD = 2.918 
 -2*STD = -2.918  Date_of_death = Feb2015 
 2*STD = 2.9181 
 -2*STD = -2.918  Date_of_death = Feb2015 
 2*STD = 2.9181 
 -2*STD = -2.918  Date_of_death = Jan2015 
 2*STD = 2.9198 
 -2*STD = -2.92  Date_of_death = Jan2015 
 2*STD = 2.9198 
 -2*STD = -2.92  Date_of_death = Dec2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Dec2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Nov2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Nov2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Oct2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Oct2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Sep2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Sep2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Aug2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Aug2014 
 2*STD = 2.9199 
 -2*STD = -2.92  Date_of_death = Jul2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Jul2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Jun2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Jun2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = May2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = May2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Apr2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Apr2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Mar2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Mar2014 
 2*STD = 2.92 
 -2*STD = -2.92  Date_of_death = Feb2014 
 2*STD = 2.9201 
 -2*STD = -2.92  Date_of_death = Feb2014 
 2*STD = 2.9201 
 -2*STD = -2.92  Date_of_death = Jan2014 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Jan2014 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Dec2013 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Dec2013 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Nov2013 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Nov2013 
 2*STD = 2.9224 
 -2*STD = -2.922  Date_of_death = Oct2013 
 2*STD = 2.9225 
 -2*STD = -2.922  Date_of_death = Oct2013 
 2*STD = 2.9225 
 -2*STD = -2.922  Date_of_death = Sep2013 
 2*STD = 2.9225 
 -2*STD = -2.922  Date_of_death = Sep2013 
 2*STD = 2.9225 
 -2*STD = -2.922  Date_of_death = Aug2013 
 2*STD = 2.9225 
 -2*STD = -2.923  Date_of_death = Aug2013 
 2*STD = 2.9225 
 -2*STD = -2.923  Date_of_death = Jul2013 
 2*STD = 2.9225 
 -2*STD = -2.923  Date_of_death = Jul2013 
 2*STD = 2.9225 
 -2*STD = -2.923  Date_of_death = Jun2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Jun2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = May2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = May2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Apr2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Apr2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Mar2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Mar2013 
 2*STD = 2.9226 
 -2*STD = -2.923  Date_of_death = Feb2013 
 2*STD = 2.9227 
 -2*STD = -2.923  Date_of_death = Feb2013 
 2*STD = 2.9227 
 -2*STD = -2.923  Date_of_death = Jan2013 
 2*STD = 2.9257 
 -2*STD = -2.926  Date_of_death = Jan2013 
 2*STD = 2.9257 
 -2*STD = -2.926  Date_of_death = Dec2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Dec2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Nov2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Nov2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Oct2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Oct2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Sep2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Sep2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Aug2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Aug2012 
 2*STD = 2.9258 
 -2*STD = -2.926  Date_of_death = Jul2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = Jul2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = Jun2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = Jun2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = May2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = May2012 
 2*STD = 2.9259 
 -2*STD = -2.926  Date_of_death = Apr2012 
 2*STD = 2.926 
 -2*STD = -2.926  Date_of_death = Apr2012 
 2*STD = 2.926 
 -2*STD = -2.926  Date_of_death = Mar2012 
 2*STD = 2.926 
 -2*STD = -2.926  Date_of_death = Mar2012 
 2*STD = 2.926 
 -2*STD = -2.926  Date_of_death = Feb2012 
 2*STD = 2.9261 
 -2*STD = -2.926  Date_of_death = Feb2012 
 2*STD = 2.9261 
 -2*STD = -2.926  Date_of_death = Jan2012 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Jan2012 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Dec2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Dec2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Nov2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Nov2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Oct2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Oct2011 
 2*STD = 2.9301 
 -2*STD = -2.93  Date_of_death = Sep2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Sep2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Aug2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Aug2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Jul2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Jul2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Jun2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = Jun2011 
 2*STD = 2.9302 
 -2*STD = -2.93  Date_of_death = May2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = May2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = Apr2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = Apr2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = Mar2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = Mar2011 
 2*STD = 2.9303 
 -2*STD = -2.93  Date_of_death = Feb2011 
 2*STD = 2.9304 
 -2*STD = -2.93  Date_of_death = Feb2011 
 2*STD = 2.9304 
 -2*STD = -2.93  Date_of_death = Jan2011 
 2*STD = 2.9358 
 -2*STD = -2.936  Date_of_death = Jan2011 
 2*STD = 2.9358 
 -2*STD = -2.936  Date_of_death = Dec2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Dec2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Nov2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Nov2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Oct2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Oct2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Sep2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Sep2010 
 2*STD = 2.9359 
 -2*STD = -2.936  Date_of_death = Aug2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Aug2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Jul2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Jul2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Jun2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Jun2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = May2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = May2010 
 2*STD = 2.936 
 -2*STD = -2.936  Date_of_death = Apr2010 
 2*STD = 2.9361 
 -2*STD = -2.936  Date_of_death = Apr2010 
 2*STD = 2.9361 
 -2*STD = -2.936  Date_of_death = Mar2010 
 2*STD = 2.9361 
 -2*STD = -2.936  Date_of_death = Mar2010 
 2*STD = 2.9361 
 -2*STD = -2.936  Date_of_death = Feb2010 
 2*STD = 2.9362 
 -2*STD = -2.936  Date_of_death = Feb2010 
 2*STD = 2.9362 
 -2*STD = -2.936  Date_of_death = Jan2010 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Jan2010 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Dec2009 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Dec2009 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Nov2009 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Nov2009 
 2*STD = 2.9436 
 -2*STD = -2.944  Date_of_death = Oct2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Oct2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Sep2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Sep2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Aug2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Aug2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Jul2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Jul2009 
 2*STD = 2.9437 
 -2*STD = -2.944  Date_of_death = Jun2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Jun2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = May2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = May2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Apr2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Apr2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Mar2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Mar2009 
 2*STD = 2.9438 
 -2*STD = -2.944  Date_of_death = Feb2009 
 2*STD = 2.9439 
 -2*STD = -2.944  Date_of_death = Feb2009 
 2*STD = 2.9439 
 -2*STD = -2.944  Date_of_death = Jan2009 
 2*STD = 2.9542 
 -2*STD = -2.954  Date_of_death = Jan2009 
 2*STD = 2.9542 
 -2*STD = -2.954  Date_of_death = Dec2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Dec2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Nov2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Nov2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Oct2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Oct2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Sep2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Sep2008 
 2*STD = 2.9543 
 -2*STD = -2.954  Date_of_death = Aug2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Aug2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Jul2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Jul2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Jun2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Jun2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = May2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = May2008 
 2*STD = 2.9544 
 -2*STD = -2.954  Date_of_death = Apr2008 
 2*STD = 2.9545 
 -2*STD = -2.954  Date_of_death = Apr2008 
 2*STD = 2.9545 
 -2*STD = -2.954  Date_of_death = Mar2008 
 2*STD = 2.9545 
 -2*STD = -2.954  Date_of_death = Mar2008 
 2*STD = 2.9545 
 -2*STD = -2.954  Date_of_death = Feb2008 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Feb2008 
 2*STD = 2.9546 
 -2*STD = -2.955  Date_of_death = Jan2008 
 2*STD = 2.9692 
 -2*STD = -2.969  Date_of_death = Jan2008 
 2*STD = 2.9692 
 -2*STD = -2.969  Date_of_death = Dec2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Dec2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Nov2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Nov2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Oct2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Oct2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Sep2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Sep2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Aug2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Aug2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Jul2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Jul2007 
 2*STD = 2.9693 
 -2*STD = -2.969  Date_of_death = Jun2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Jun2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = May2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = May2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Apr2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Apr2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Mar2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Mar2007 
 2*STD = 2.9694 
 -2*STD = -2.969  Date_of_death = Feb2007 
 2*STD = 2.9695 
 -2*STD = -2.97  Date_of_death = Feb2007 
 2*STD = 2.9695 
 -2*STD = -2.97  Date_of_death = Jan2007 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Jan2007 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Dec2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Dec2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Nov2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Nov2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Oct2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Oct2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Sep2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Sep2006 
 2*STD = 2.9909 
 -2*STD = -2.991  Date_of_death = Aug2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Aug2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Jul2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Jul2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Jun2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Jun2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = May2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = May2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Apr2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Apr2006 
 2*STD = 2.991 
 -2*STD = -2.991  Date_of_death = Mar2006 
 2*STD = 2.9911 
 -2*STD = -2.991  Date_of_death = Mar2006 
 2*STD = 2.9911 
 -2*STD = -2.991  Date_of_death = Feb2006 
 2*STD = 2.9911 
 -2*STD = -2.991  Date_of_death = Feb2006 
 2*STD = 2.9911 
 -2*STD = -2.991  Date_of_death = Jan2006 
 2*STD = 3.0234 
 -2*STD = -3.023  Date_of_death = Jan2006 
 2*STD = 3.0234 
 -2*STD = -3.023  Date_of_death = Dec2005 
 2*STD = 3.0234 
 -2*STD = -3.023  Date_of_death = Dec2005 
 2*STD = 3.0234 
 -2*STD = -3.023  Date_of_death = Nov2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Nov2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Oct2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Oct2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Sep2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Sep2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Aug2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Aug2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Jul2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Jul2005 
 2*STD = 3.0235 
 -2*STD = -3.023  Date_of_death = Jun2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = Jun2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = May2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = May2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = Apr2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = Apr2005 
 2*STD = 3.0235 
 -2*STD = -3.024  Date_of_death = Mar2005 
 2*STD = 3.0236 
 -2*STD = -3.024  Date_of_death = Mar2005 
 2*STD = 3.0236 
 -2*STD = -3.024  Date_of_death = Feb2005 
 2*STD = 3.0236 
 -2*STD = -3.024  Date_of_death = Feb2005 
 2*STD = 3.0236 
 -2*STD = -3.024  Date_of_death = Jan2005 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Jan2005 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Dec2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Dec2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Nov2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Nov2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Oct2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Oct2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Sep2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Sep2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Aug2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Aug2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Jul2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Jul2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Jun2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Jun2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = May2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = May2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Apr2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Apr2004 
 2*STD = 3.0751 
 -2*STD = -3.075  Date_of_death = Mar2004 
 2*STD = 3.0752 
 -2*STD = -3.075  Date_of_death = Mar2004 
 2*STD = 3.0752 
 -2*STD = -3.075  Date_of_death = Feb2004 
 2*STD = 3.0752 
 -2*STD = -3.075  Date_of_death = Feb2004 
 2*STD = 3.0752 
 -2*STD = -3.075  Date_of_death = Jan2004 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Jan2004 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Dec2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Dec2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Nov2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Nov2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Oct2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Oct2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Sep2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Sep2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Aug2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Aug2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Jul2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Jul2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Jun2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Jun2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = May2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = May2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Apr2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Apr2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Mar2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Mar2003 
 2*STD = 3.1643 
 -2*STD = -3.164  Date_of_death = Feb2003 
 2*STD = 3.1644 
 -2*STD = -3.164  Date_of_death = Feb2003 
 2*STD = 3.1644 
 -2*STD = -3.164  Date_of_death = Jan2003 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Jan2003 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Dec2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Dec2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Nov2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Nov2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Oct2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Oct2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Sep2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Sep2002 
 2*STD = 3.3433 
 -2*STD = -3.343  Date_of_death = Aug2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Aug2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Jul2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Jul2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Jun2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Jun2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = May2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = May2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Apr2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Apr2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Mar2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Mar2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Feb2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Feb2002 
 2*STD = 3.3434 
 -2*STD = -3.343  Date_of_death = Jan2002 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Jan2002 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Dec2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Dec2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Nov2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Nov2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Oct2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Oct2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Sep2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Sep2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Aug2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Aug2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Jul2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Jul2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Jun2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Jun2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = May2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = May2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Apr2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Apr2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Mar2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Mar2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Date_of_death = Feb2001 
 2*STD = 3.8453 
 -2*STD = -3.845  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 OCT2019 2.107591 1.45650 -0.747089 4.962271
238 NOV2019 2.806151 1.45689 -0.049310 5.661612
239 DEC2019 1.948511 1.45696 -0.907071 4.804094
240 JAN2020 3.005117 1.45704 0.149373 5.860861
241 FEB2020 2.479898 1.45692 -0.375604 5.335400
242 MAR2020 2.473575 1.45701 -0.382103 5.329254
243 APR2020 3.035188 1.45712 0.179279 5.891097
244 MAY2020 2.138809 1.45723 -0.717316 4.994935
245 JUN2020 2.577580 1.45734 -0.278750 5.433911
246 JUL2020 2.767226 1.45743 -0.089282 5.623733
247 AUG2020 2.981255 1.45747 0.124671 5.837840
248 SEP2020 2.634913 1.45775 -0.222228 5.492054

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 2.6349  Date_of_death = Aug2020 
 Forecast = 2.9813  Date_of_death = Aug2020 
 Forecast = 2.9813  Date_of_death = Jul2020 
 Forecast = 2.7672  Date_of_death = Jul2020 
 Forecast = 2.7672  Date_of_death = Jun2020 
 Forecast = 2.5776  Date_of_death = Jun2020 
 Forecast = 2.5776  Date_of_death = May2020 
 Forecast = 2.1388  Date_of_death = May2020 
 Forecast = 2.1388  Date_of_death = Apr2020 
 Forecast = 3.0352  Date_of_death = Apr2020 
 Forecast = 3.0352  Date_of_death = Mar2020 
 Forecast = 2.4736  Date_of_death = Mar2020 
 Forecast = 2.4736  Date_of_death = Feb2020 
 Forecast = 2.4799  Date_of_death = Feb2020 
 Forecast = 2.4799  Date_of_death = Jan2020 
 Forecast = 3.0051  Date_of_death = Jan2020 
 Forecast = 3.0051  Date_of_death = Dec2019 
 Forecast = 1.9485  Date_of_death = Dec2019 
 Forecast = 1.9485  Date_of_death = Nov2019 
 Forecast = 2.8062  Date_of_death = Nov2019 
 Forecast = 2.8062  Date_of_death = Oct2019 
 Forecast = 2.1076  Date_of_death = Sep2020 
 Upper 95% = 5.4921 
 Lower 95% = -0.2222  Date_of_death = Aug2020 
 Upper 95% = 5.8378 
 Lower 95% = 0.1247  Date_of_death = Aug2020 
 Upper 95% = 5.8378 
 Lower 95% = 0.1247  Date_of_death = Jul2020 
 Upper 95% = 5.6237 
 Lower 95% = -0.0893  Date_of_death = Jul2020 
 Upper 95% = 5.6237 
 Lower 95% = -0.0893  Date_of_death = Jun2020 
 Upper 95% = 5.4339 
 Lower 95% = -0.2787  Date_of_death = Jun2020 
 Upper 95% = 5.4339 
 Lower 95% = -0.2787  Date_of_death = May2020 
 Upper 95% = 4.9949 
 Lower 95% = -0.7173  Date_of_death = May2020 
 Upper 95% = 4.9949 
 Lower 95% = -0.7173  Date_of_death = Apr2020 
 Upper 95% = 5.8911 
 Lower 95% = 0.1793  Date_of_death = Apr2020 
 Upper 95% = 5.8911 
 Lower 95% = 0.1793  Date_of_death = Mar2020 
 Upper 95% = 5.3293 
 Lower 95% = -0.3821  Date_of_death = Mar2020 
 Upper 95% = 5.3293 
 Lower 95% = -0.3821  Date_of_death = Feb2020 
 Upper 95% = 5.3354 
 Lower 95% = -0.3756  Date_of_death = Feb2020 
 Upper 95% = 5.3354 
 Lower 95% = -0.3756  Date_of_death = Jan2020 
 Upper 95% = 5.8609 
 Lower 95% = 0.1494  Date_of_death = Jan2020 
 Upper 95% = 5.8609 
 Lower 95% = 0.1494  Date_of_death = Dec2019 
 Upper 95% = 4.8041 
 Lower 95% = -0.9071  Date_of_death = Dec2019 
 Upper 95% = 4.8041 
 Lower 95% = -0.9071  Date_of_death = Nov2019 
 Upper 95% = 5.6616 
 Lower 95% = -0.0493  Date_of_death = Nov2019 
 Upper 95% = 5.6616 
 Lower 95% = -0.0493  Date_of_death = Oct2019 
 Upper 95% = 4.9623 
 Lower 95% = -0.7471
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 2.6349  Date_of_death = Aug2020 
 Forecast = 2.9813  Date_of_death = Aug2020 
 Forecast = 2.9813  Date_of_death = Jul2020 
 Forecast = 2.7672  Date_of_death = Jul2020 
 Forecast = 2.7672  Date_of_death = Jun2020 
 Forecast = 2.5776  Date_of_death = Jun2020 
 Forecast = 2.5776  Date_of_death = May2020 
 Forecast = 2.1388  Date_of_death = May2020 
 Forecast = 2.1388  Date_of_death = Apr2020 
 Forecast = 3.0352  Date_of_death = Apr2020 
 Forecast = 3.0352  Date_of_death = Mar2020 
 Forecast = 2.4736  Date_of_death = Mar2020 
 Forecast = 2.4736  Date_of_death = Feb2020 
 Forecast = 2.4799  Date_of_death = Feb2020 
 Forecast = 2.4799  Date_of_death = Jan2020 
 Forecast = 3.0051  Date_of_death = Jan2020 
 Forecast = 3.0051  Date_of_death = Dec2019 
 Forecast = 1.9485  Date_of_death = Dec2019 
 Forecast = 1.9485  Date_of_death = Nov2019 
 Forecast = 2.8062  Date_of_death = Nov2019 
 Forecast = 2.8062  Date_of_death = Oct2019 
 Forecast = 2.1076  Date_of_death = Oct2019 
 Forecast = 2.1076  Date_of_death = Sep2019 
 Forecast = 2.8995  Date_of_death = Sep2019 
 Forecast = 2.8995  Date_of_death = Aug2019 
 Forecast = 2.7723  Date_of_death = Aug2019 
 Forecast = 2.7723  Date_of_death = Jul2019 
 Forecast = 2.6139  Date_of_death = Jul2019 
 Forecast = 2.6139  Date_of_death = Jun2019 
 Forecast = 2.8793  Date_of_death = Jun2019 
 Forecast = 2.8793  Date_of_death = May2019 
 Forecast = 2.1155  Date_of_death = May2019 
 Forecast = 2.1155  Date_of_death = Apr2019 
 Forecast = 2.8854  Date_of_death = Apr2019 
 Forecast = 2.8854  Date_of_death = Mar2019 
 Forecast = 2.5927  Date_of_death = Mar2019 
 Forecast = 2.5927  Date_of_death = Feb2019 
 Forecast = 2.2278  Date_of_death = Feb2019 
 Forecast = 2.2278  Date_of_death = Jan2019 
 Forecast = 2.8933  Date_of_death = Jan2019 
 Forecast = 2.8933  Date_of_death = Dec2018 
 Forecast = 1.6334  Date_of_death = Dec2018 
 Forecast = 1.6334  Date_of_death = Nov2018 
 Forecast = 2.6366  Date_of_death = Nov2018 
 Forecast = 2.6366  Date_of_death = Oct2018 
 Forecast = 2.1933  Date_of_death = Oct2018 
 Forecast = 2.1933  Date_of_death = Sep2018 
 Forecast = 3.1341  Date_of_death = Sep2018 
 Forecast = 3.1341  Date_of_death = Aug2018 
 Forecast = 2.9812  Date_of_death = Aug2018 
 Forecast = 2.9812  Date_of_death = Jul2018 
 Forecast = 2.7143  Date_of_death = Jul2018 
 Forecast = 2.7143  Date_of_death = Jun2018 
 Forecast = 2.6190  Date_of_death = Jun2018 
 Forecast = 2.6190  Date_of_death = May2018 
 Forecast = 2.3601  Date_of_death = May2018 
 Forecast = 2.3601  Date_of_death = Apr2018 
 Forecast = 2.6543  Date_of_death = Apr2018 
 Forecast = 2.6543  Date_of_death = Mar2018 
 Forecast = 2.4738  Date_of_death = Mar2018 
 Forecast = 2.4738  Date_of_death = Feb2018 
 Forecast = 2.5356  Date_of_death = Feb2018 
 Forecast = 2.5356  Date_of_death = Jan2018 
 Forecast = 3.2849  Date_of_death = Jan2018 
 Forecast = 3.2849  Date_of_death = Dec2017 
 Forecast = 1.7930  Date_of_death = Dec2017 
 Forecast = 1.7930  Date_of_death = Nov2017 
 Forecast = 2.4399  Date_of_death = Nov2017 
 Forecast = 2.4399  Date_of_death = Oct2017 
 Forecast = 2.1021  Date_of_death = Oct2017 
 Forecast = 2.1021  Date_of_death = Sep2017 
 Forecast = 3.4766  Date_of_death = Sep2017 
 Forecast = 3.4766  Date_of_death = Aug2017 
 Forecast = 3.0386  Date_of_death = Aug2017 
 Forecast = 3.0386  Date_of_death = Jul2017 
 Forecast = 2.5478  Date_of_death = Jul2017 
 Forecast = 2.5478  Date_of_death = Jun2017 
 Forecast = 2.7545  Date_of_death = Jun2017 
 Forecast = 2.7545  Date_of_death = May2017 
 Forecast = 2.6503  Date_of_death = May2017 
 Forecast = 2.6503  Date_of_death = Apr2017 
 Forecast = 2.5004  Date_of_death = Apr2017 
 Forecast = 2.5004  Date_of_death = Mar2017 
 Forecast = 2.2725  Date_of_death = Mar2017 
 Forecast = 2.2725  Date_of_death = Feb2017 
 Forecast = 2.7864  Date_of_death = Feb2017 
 Forecast = 2.7864  Date_of_death = Jan2017 
 Forecast = 3.1042  Date_of_death = Jan2017 
 Forecast = 3.1042  Date_of_death = Dec2016 
 Forecast = 2.0104  Date_of_death = Dec2016 
 Forecast = 2.0104  Date_of_death = Nov2016 
 Forecast = 2.2095  Date_of_death = Nov2016 
 Forecast = 2.2095  Date_of_death = Oct2016 
 Forecast = 2.2594  Date_of_death = Oct2016 
 Forecast = 2.2594  Date_of_death = Sep2016 
 Forecast = 3.3165  Date_of_death = Sep2016 
 Forecast = 3.3165  Date_of_death = Aug2016 
 Forecast = 2.9343  Date_of_death = Aug2016 
 Forecast = 2.9343  Date_of_death = Jul2016 
 Forecast = 2.2973  Date_of_death = Jul2016 
 Forecast = 2.2973  Date_of_death = Jun2016 
 Forecast = 2.5034  Date_of_death = Jun2016 
 Forecast = 2.5034  Date_of_death = May2016 
 Forecast = 2.7903  Date_of_death = May2016 
 Forecast = 2.7903  Date_of_death = Apr2016 
 Forecast = 2.5643  Date_of_death = Apr2016 
 Forecast = 2.5643  Date_of_death = Mar2016 
 Forecast = 2.3590  Date_of_death = Mar2016 
 Forecast = 2.3590  Date_of_death = Feb2016 
 Forecast = 2.5315  Date_of_death = Feb2016 
 Forecast = 2.5315  Date_of_death = Jan2016 
 Forecast = 2.9214  Date_of_death = Jan2016 
 Forecast = 2.9214  Date_of_death = Dec2015 
 Forecast = 2.2151  Date_of_death = Dec2015 
 Forecast = 2.2151  Date_of_death = Nov2015 
 Forecast = 2.1267  Date_of_death = Nov2015 
 Forecast = 2.1267  Date_of_death = Oct2015 
 Forecast = 2.4430  Date_of_death = Oct2015 
 Forecast = 2.4430  Date_of_death = Sep2015 
 Forecast = 3.1809  Date_of_death = Sep2015 
 Forecast = 3.1809  Date_of_death = Aug2015 
 Forecast = 3.3348  Date_of_death = Aug2015 
 Forecast = 3.3348  Date_of_death = Jul2015 
 Forecast = 2.3643  Date_of_death = Jul2015 
 Forecast = 2.3643  Date_of_death = Jun2015 
 Forecast = 2.7629  Date_of_death = Jun2015 
 Forecast = 2.7629  Date_of_death = May2015 
 Forecast = 2.5776  Date_of_death = May2015 
 Forecast = 2.5776  Date_of_death = Apr2015 
 Forecast = 2.8683  Date_of_death = Apr2015 
 Forecast = 2.8683  Date_of_death = Mar2015 
 Forecast = 2.1458  Date_of_death = Mar2015 
 Forecast = 2.1458  Date_of_death = Feb2015 
 Forecast = 2.9367  Date_of_death = Feb2015 
 Forecast = 2.9367  Date_of_death = Jan2015 
 Forecast = 2.7260  Date_of_death = Jan2015 
 Forecast = 2.7260  Date_of_death = Dec2014 
 Forecast = 2.5076  Date_of_death = Dec2014 
 Forecast = 2.5076  Date_of_death = Nov2014 
 Forecast = 1.7898  Date_of_death = Nov2014 
 Forecast = 1.7898  Date_of_death = Oct2014 
 Forecast = 2.8107  Date_of_death = Oct2014 
 Forecast = 2.8107  Date_of_death = Sep2014 
 Forecast = 3.4641  Date_of_death = Sep2014 
 Forecast = 3.4641  Date_of_death = Aug2014 
 Forecast = 3.1813  Date_of_death = Aug2014 
 Forecast = 3.1813  Date_of_death = Jul2014 
 Forecast = 2.5954  Date_of_death = Jul2014 
 Forecast = 2.5954  Date_of_death = Jun2014 
 Forecast = 3.1034  Date_of_death = Jun2014 
 Forecast = 3.1034  Date_of_death = May2014 
 Forecast = 2.2883  Date_of_death = May2014 
 Forecast = 2.2883  Date_of_death = Apr2014 
 Forecast = 2.8427  Date_of_death = Apr2014 
 Forecast = 2.8427  Date_of_death = Mar2014 
 Forecast = 2.3664  Date_of_death = Mar2014 
 Forecast = 2.3664  Date_of_death = Feb2014 
 Forecast = 2.8118  Date_of_death = Feb2014 
 Forecast = 2.8118  Date_of_death = Jan2014 
 Forecast = 2.5438  Date_of_death = Jan2014 
 Forecast = 2.5438  Date_of_death = Dec2013 
 Forecast = 2.7363  Date_of_death = Dec2013 
 Forecast = 2.7363  Date_of_death = Nov2013 
 Forecast = 1.8800  Date_of_death = Nov2013 
 Forecast = 1.8800  Date_of_death = Oct2013 
 Forecast = 2.8626  Date_of_death = Oct2013 
 Forecast = 2.8626  Date_of_death = Sep2013 
 Forecast = 3.3841  Date_of_death = Sep2013 
 Forecast = 3.3841  Date_of_death = Aug2013 
 Forecast = 3.0124  Date_of_death = Aug2013 
 Forecast = 3.0124  Date_of_death = Jul2013 
 Forecast = 2.8088  Date_of_death = Jul2013 
 Forecast = 2.8088  Date_of_death = Jun2013 
 Forecast = 3.1122  Date_of_death = Jun2013 
 Forecast = 3.1122  Date_of_death = May2013 
 Forecast = 2.3730  Date_of_death = May2013 
 Forecast = 2.3730  Date_of_death = Apr2013 
 Forecast = 2.6085  Date_of_death = Apr2013 
 Forecast = 2.6085  Date_of_death = Mar2013 
 Forecast = 2.6795  Date_of_death = Mar2013 
 Forecast = 2.6795  Date_of_death = Feb2013 
 Forecast = 2.6377  Date_of_death = Feb2013 
 Forecast = 2.6377  Date_of_death = Jan2013 
 Forecast = 2.8465  Date_of_death = Jan2013 
 Forecast = 2.8465  Date_of_death = Dec2012 
 Forecast = 2.4695  Date_of_death = Dec2012 
 Forecast = 2.4695  Date_of_death = Nov2012 
 Forecast = 1.8829  Date_of_death = Nov2012 
 Forecast = 1.8829  Date_of_death = Oct2012 
 Forecast = 3.2131  Date_of_death = Oct2012 
 Forecast = 3.2131  Date_of_death = Sep2012 
 Forecast = 3.2743  Date_of_death = Sep2012 
 Forecast = 3.2743  Date_of_death = Aug2012 
 Forecast = 3.1727  Date_of_death = Aug2012 
 Forecast = 3.1727  Date_of_death = Jul2012 
 Forecast = 2.7629  Date_of_death = Jul2012 
 Forecast = 2.7629  Date_of_death = Jun2012 
 Forecast = 2.9761  Date_of_death = Jun2012 
 Forecast = 2.9761  Date_of_death = May2012 
 Forecast = 2.3522  Date_of_death = May2012 
 Forecast = 2.3522  Date_of_death = Apr2012 
 Forecast = 2.3494  Date_of_death = Apr2012 
 Forecast = 2.3494  Date_of_death = Mar2012 
 Forecast = 3.0447  Date_of_death = Mar2012 
 Forecast = 3.0447  Date_of_death = Feb2012 
 Forecast = 2.8134  Date_of_death = Feb2012 
 Forecast = 2.8134  Date_of_death = Jan2012 
 Forecast = 2.6533  Date_of_death = Jan2012 
 Forecast = 2.6533  Date_of_death = Dec2011 
 Forecast = 2.4309  Date_of_death = Dec2011 
 Forecast = 2.4309  Date_of_death = Nov2011 
 Forecast = 1.9933  Date_of_death = Nov2011 
 Forecast = 1.9933  Date_of_death = Oct2011 
 Forecast = 3.4190  Date_of_death = Oct2011 
 Forecast = 3.4190  Date_of_death = Sep2011 
 Forecast = 3.0831  Date_of_death = Sep2011 
 Forecast = 3.0831  Date_of_death = Aug2011 
 Forecast = 3.2353  Date_of_death = Aug2011 
 Forecast = 3.2353  Date_of_death = Jul2011 
 Forecast = 3.1091  Date_of_death = Jul2011 
 Forecast = 3.1091  Date_of_death = Jun2011 
 Forecast = 3.1507  Date_of_death = Jun2011 
 Forecast = 3.1507  Date_of_death = May2011 
 Forecast = 2.4923  Date_of_death = May2011 
 Forecast = 2.4923  Date_of_death = Apr2011 
 Forecast = 2.4058  Date_of_death = Apr2011 
 Forecast = 2.4058  Date_of_death = Mar2011 
 Forecast = 2.8698  Date_of_death = Mar2011 
 Forecast = 2.8698  Date_of_death = Feb2011 
 Forecast = 3.0710  Date_of_death = Feb2011 
 Forecast = 3.0710  Date_of_death = Jan2011 
 Forecast = 3.0017  Date_of_death = Jan2011 
 Forecast = 3.0017  Date_of_death = Dec2010 
 Forecast = 2.5034  Date_of_death = Dec2010 
 Forecast = 2.5034  Date_of_death = Nov2010 
 Forecast = 2.1909  Date_of_death = Nov2010 
 Forecast = 2.1909  Date_of_death = Oct2010 
 Forecast = 3.3912  Date_of_death = Oct2010 
 Forecast = 3.3912  Date_of_death = Sep2010 
 Forecast = 3.5482  Date_of_death = Sep2010 
 Forecast = 3.5482  Date_of_death = Aug2010 
 Forecast = 3.2432  Date_of_death = Aug2010 
 Forecast = 3.2432  Date_of_death = Jul2010 
 Forecast = 3.5264  Date_of_death = Jul2010 
 Forecast = 3.5264  Date_of_death = Jun2010 
 Forecast = 3.0110  Date_of_death = Jun2010 
 Forecast = 3.0110  Date_of_death = May2010 
 Forecast = 2.8603  Date_of_death = May2010 
 Forecast = 2.8603  Date_of_death = Apr2010 
 Forecast = 2.2084  Date_of_death = Apr2010 
 Forecast = 2.2084  Date_of_death = Mar2010 
 Forecast = 2.7732  Date_of_death = Mar2010 
 Forecast = 2.7732  Date_of_death = Feb2010 
 Forecast = 2.9473  Date_of_death = Feb2010 
 Forecast = 2.9473  Date_of_death = Jan2010 
 Forecast = 2.8676  Date_of_death = Jan2010 
 Forecast = 2.8676  Date_of_death = Dec2009 
 Forecast = 2.7985  Date_of_death = Dec2009 
 Forecast = 2.7985  Date_of_death = Nov2009 
 Forecast = 2.4090  Date_of_death = Nov2009 
 Forecast = 2.4090  Date_of_death = Oct2009 
 Forecast = 3.1996  Date_of_death = Oct2009 
 Forecast = 3.1996  Date_of_death = Sep2009 
 Forecast = 3.4809  Date_of_death = Sep2009 
 Forecast = 3.4809  Date_of_death = Aug2009 
 Forecast = 3.4091  Date_of_death = Aug2009 
 Forecast = 3.4091  Date_of_death = Jul2009 
 Forecast = 3.9769  Date_of_death = Jul2009 
 Forecast = 3.9769  Date_of_death = Jun2009 
 Forecast = 2.7136  Date_of_death = Jun2009 
 Forecast = 2.7136  Date_of_death = May2009 
 Forecast = 2.7312  Date_of_death = May2009 
 Forecast = 2.7312  Date_of_death = Apr2009 
 Forecast = 1.9535  Date_of_death = Apr2009 
 Forecast = 1.9535  Date_of_death = Mar2009 
 Forecast = 3.0057  Date_of_death = Mar2009 
 Forecast = 3.0057  Date_of_death = Feb2009 
 Forecast = 3.1525  Date_of_death = Feb2009 
 Forecast = 3.1525  Date_of_death = Jan2009 
 Forecast = 3.1846  Date_of_death = Jan2009 
 Forecast = 3.1846  Date_of_death = Dec2008 
 Forecast = 3.0927  Date_of_death = Dec2008 
 Forecast = 3.0927  Date_of_death = Nov2008 
 Forecast = 2.1164  Date_of_death = Nov2008 
 Forecast = 2.1164  Date_of_death = Oct2008 
 Forecast = 3.1407  Date_of_death = Oct2008 
 Forecast = 3.1407  Date_of_death = Sep2008 
 Forecast = 3.3930  Date_of_death = Sep2008 
 Forecast = 3.3930  Date_of_death = Aug2008 
 Forecast = 3.2343  Date_of_death = Aug2008 
 Forecast = 3.2343  Date_of_death = Jul2008 
 Forecast = 4.0094  Date_of_death = Jul2008 
 Forecast = 4.0094  Date_of_death = Jun2008 
 Forecast = 3.0803  Date_of_death = Jun2008 
 Forecast = 3.0803  Date_of_death = May2008 
 Forecast = 3.1040  Date_of_death = May2008 
 Forecast = 3.1040  Date_of_death = Apr2008 
 Forecast = 2.1188  Date_of_death = Apr2008 
 Forecast = 2.1188  Date_of_death = Mar2008 
 Forecast = 2.8098  Date_of_death = Mar2008 
 Forecast = 2.8098  Date_of_death = Feb2008 
 Forecast = 2.9911  Date_of_death = Feb2008 
 Forecast = 2.9911  Date_of_death = Jan2008 
 Forecast = 2.9917  Date_of_death = Jan2008 
 Forecast = 2.9917  Date_of_death = Dec2007 
 Forecast = 3.5861  Date_of_death = Dec2007 
 Forecast = 3.5861  Date_of_death = Nov2007 
 Forecast = 2.3378  Date_of_death = Nov2007 
 Forecast = 2.3378  Date_of_death = Oct2007 
 Forecast = 3.6126  Date_of_death = Oct2007 
 Forecast = 3.6126  Date_of_death = Sep2007 
 Forecast = 3.3015  Date_of_death = Sep2007 
 Forecast = 3.3015  Date_of_death = Aug2007 
 Forecast = 3.1623  Date_of_death = Aug2007 
 Forecast = 3.1623  Date_of_death = Jul2007 
 Forecast = 4.0373  Date_of_death = Jul2007 
 Forecast = 4.0373  Date_of_death = Jun2007 
 Forecast = 2.8756  Date_of_death = Jun2007 
 Forecast = 2.8756  Date_of_death = May2007 
 Forecast = 2.9289  Date_of_death = May2007 
 Forecast = 2.9289  Date_of_death = Apr2007 
 Forecast = 1.7861  Date_of_death = Apr2007 
 Forecast = 1.7861  Date_of_death = Mar2007 
 Forecast = 2.6339  Date_of_death = Mar2007 
 Forecast = 2.6339  Date_of_death = Feb2007 
 Forecast = 2.8294  Date_of_death = Feb2007 
 Forecast = 2.8294  Date_of_death = Jan2007 
 Forecast = 2.7095  Date_of_death = Jan2007 
 Forecast = 2.7095  Date_of_death = Dec2006 
 Forecast = 3.4359  Date_of_death = Dec2006 
 Forecast = 3.4359  Date_of_death = Nov2006 
 Forecast = 2.5156  Date_of_death = Nov2006 
 Forecast = 2.5156  Date_of_death = Oct2006 
 Forecast = 3.4349  Date_of_death = Oct2006 
 Forecast = 3.4349  Date_of_death = Sep2006 
 Forecast = 3.0988  Date_of_death = Sep2006 
 Forecast = 3.0988  Date_of_death = Aug2006 
 Forecast = 2.9134  Date_of_death = Aug2006 
 Forecast = 2.9134  Date_of_death = Jul2006 
 Forecast = 4.0107  Date_of_death = Jul2006 
 Forecast = 4.0107  Date_of_death = Jun2006 
 Forecast = 2.5746  Date_of_death = Jun2006 
 Forecast = 2.5746  Date_of_death = May2006 
 Forecast = 2.6969  Date_of_death = May2006 
 Forecast = 2.6969  Date_of_death = Apr2006 
 Forecast = 1.9577  Date_of_death = Apr2006 
 Forecast = 1.9577  Date_of_death = Mar2006 
 Forecast = 2.2902  Date_of_death = Mar2006 
 Forecast = 2.2902  Date_of_death = Feb2006 
 Forecast = 2.5800  Date_of_death = Feb2006 
 Forecast = 2.5800  Date_of_death = Jan2006 
 Forecast = 2.3757  Date_of_death = Jan2006 
 Forecast = 2.3757  Date_of_death = Dec2005 
 Forecast = 3.9834  Date_of_death = Dec2005 
 Forecast = 3.9834  Date_of_death = Nov2005 
 Forecast = 2.8077  Date_of_death = Nov2005 
 Forecast = 2.8077  Date_of_death = Oct2005 
 Forecast = 3.2466  Date_of_death = Oct2005 
 Forecast = 3.2466  Date_of_death = Sep2005 
 Forecast = 2.8781  Date_of_death = Sep2005 
 Forecast = 2.8781  Date_of_death = Aug2005 
 Forecast = 3.3834  Date_of_death = Aug2005 
 Forecast = 3.3834  Date_of_death = Jul2005 
 Forecast = 3.9917  Date_of_death = Jul2005 
 Forecast = 3.9917  Date_of_death = Jun2005 
 Forecast = 2.9982  Date_of_death = Jun2005 
 Forecast = 2.9982  Date_of_death = May2005 
 Forecast = 3.0873  Date_of_death = May2005 
 Forecast = 3.0873  Date_of_death = Apr2005 
 Forecast = 2.2318  Date_of_death = Apr2005 
 Forecast = 2.2318  Date_of_death = Mar2005 
 Forecast = 2.6803  Date_of_death = Mar2005 
 Forecast = 2.6803  Date_of_death = Feb2005 
 Forecast = 2.3060  Date_of_death = Feb2005 
 Forecast = 2.3060  Date_of_death = Jan2005 
 Forecast = 1.9342  Date_of_death = Jan2005 
 Forecast = 1.9342  Date_of_death = Dec2004 
 Forecast = 4.0127  Date_of_death = Dec2004 
 Forecast = 4.0127  Date_of_death = Nov2004 
 Forecast = 2.5039  Date_of_death = Nov2004 
 Forecast = 2.5039  Date_of_death = Oct2004 
 Forecast = 3.9836  Date_of_death = Oct2004 
 Forecast = 3.9836  Date_of_death = Sep2004 
 Forecast = 2.5056  Date_of_death = Sep2004 
 Forecast = 2.5056  Date_of_death = Aug2004 
 Forecast = 3.2508  Date_of_death = Aug2004 
 Forecast = 3.2508  Date_of_death = Jul2004 
 Forecast = 3.9802  Date_of_death = Jul2004 
 Forecast = 3.9802  Date_of_death = Jun2004 
 Forecast = 2.6650  Date_of_death = Jun2004 
 Forecast = 2.6650  Date_of_death = May2004 
 Forecast = 2.7940  Date_of_death = May2004 
 Forecast = 2.7940  Date_of_death = Apr2004 
 Forecast = 2.5423  Date_of_death = Apr2004 
 Forecast = 2.5423  Date_of_death = Mar2004 
 Forecast = 3.1524  Date_of_death = Mar2004 
 Forecast = 3.1524  Date_of_death = Feb2004 
 Forecast = 1.8017  Date_of_death = Feb2004 
 Forecast = 1.8017  Date_of_death = Jan2004 
 Forecast = 2.2981  Date_of_death = Jan2004 
 Forecast = 2.2981  Date_of_death = Dec2003 
 Forecast = 4.0267  Date_of_death = Dec2003 
 Forecast = 4.0267  Date_of_death = Nov2003 
 Forecast = 3.0073  Date_of_death = Nov2003 
 Forecast = 3.0073  Date_of_death = Oct2003 
 Forecast = 3.9769  Date_of_death = Oct2003 
 Forecast = 3.9769  Date_of_death = Sep2003 
 Forecast = 1.9697  Date_of_death = Sep2003 
 Forecast = 1.9697  Date_of_death = Aug2003 
 Forecast = 2.9972  Date_of_death = Aug2003 
 Forecast = 2.9972  Date_of_death = Jul2003 
 Forecast = 4.0072  Date_of_death = Jul2003 
 Forecast = 4.0072  Date_of_death = Jun2003 
 Forecast = 3.3118  Date_of_death = Jun2003 
 Forecast = 3.3118  Date_of_death = May2003 
 Forecast = 2.3134  Date_of_death = May2003 
 Forecast = 2.3134  Date_of_death = Apr2003 
 Forecast = 1.9846  Date_of_death = Apr2003 
 Forecast = 1.9846  Date_of_death = Mar2003 
 Forecast = 3.9998  Date_of_death = Mar2003 
 Forecast = 3.9998  Date_of_death = Feb2003 
 Forecast = 2.0533  Date_of_death = Feb2003 
 Forecast = 2.0533  Date_of_death = Jan2003 
 Forecast = 2.9820  Date_of_death = Jan2003 
 Forecast = 2.9820  Date_of_death = Dec2002 
 Forecast = 4.0021  Date_of_death = Dec2002 
 Forecast = 4.0021  Date_of_death = Nov2002 
 Forecast = 2.4823  Date_of_death = Nov2002 
 Forecast = 2.4823  Date_of_death = Oct2002 
 Forecast = 4.0100  Date_of_death = Oct2002 
 Forecast = 4.0100  Date_of_death = Sep2002 
 Forecast = 2.5118  Date_of_death = Sep2002 
 Forecast = 2.5118  Date_of_death = Aug2002 
 Forecast = 2.4742  Date_of_death = Aug2002 
 Forecast = 2.4742  Date_of_death = Jul2002 
 Forecast = 4.0008  Date_of_death = Jul2002 
 Forecast = 4.0008  Date_of_death = Jun2002 
 Forecast = 2.9801  Date_of_death = Jun2002 
 Forecast = 2.9801  Date_of_death = May2002 
 Forecast = 2.5349  Date_of_death = May2002 
 Forecast = 2.5349  Date_of_death = Apr2002 
 Forecast = 2.4759  Date_of_death = Apr2002 
 Forecast = 2.4759  Date_of_death = Mar2002 
 Forecast = 3.9811  Date_of_death = Mar2002 
 Forecast = 3.9811  Date_of_death = Feb2002 
 Forecast = 0.9995  Date_of_death = Feb2002 
 Forecast = 0.9995  Date_of_death = Jan2002 
 Forecast = 3.9946  Date_of_death = Jan2002 
 Forecast = 3.9946  Date_of_death = Dec2001 
 Forecast = 4.0091  Date_of_death = Dec2001 
 Forecast = 4.0091  Date_of_death = Nov2001 
 Forecast = 3.9987  Date_of_death = Nov2001 
 Forecast = 3.9987  Date_of_death = Oct2001 
 Forecast = 3.9831  Date_of_death = Oct2001 
 Forecast = 3.9831  Date_of_death = Sep2001 
 Forecast = 1.0077  Date_of_death = Sep2001 
 Forecast = 1.0077  Date_of_death = Aug2001 
 Forecast = 3.9973  Date_of_death = Aug2001 
 Forecast = 3.9973  Date_of_death = Jul2001 
 Forecast = 4.0071  Date_of_death = Jul2001 
 Forecast = 4.0071  Date_of_death = Jun2001 
 Forecast = 3.9852  Date_of_death = Jun2001 
 Forecast = 3.9852  Date_of_death = May2001 
 Forecast = 1.0101  Date_of_death = May2001 
 Forecast = 1.0101  Date_of_death = Apr2001 
 Forecast = 4.0000  Date_of_death = Apr2001 
 Forecast = 4.0000  Date_of_death = Mar2001 
 Forecast = 4.0000  Date_of_death = Mar2001 
 Forecast = 4.0000  Date_of_death = Feb2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 1.0000  Date_of_death = Aug2019 
 incidents = 4.0000  Date_of_death = Jul2019 
 incidents = 4.0000  Date_of_death = Jun2019 
 incidents = 1.0000  Date_of_death = May2019 
 incidents = 2.0000  Date_of_death = Apr2019 
 incidents = 4.0000  Date_of_death = Mar2019 
 incidents = 2.0000  Date_of_death = Feb2019 
 incidents = 4.0000  Date_of_death = Jan2019 
 incidents = 4.0000  Date_of_death = Dec2018 
 incidents = 4.0000  Date_of_death = Nov2018 
 incidents = 4.0000  Date_of_death = Oct2018 
 incidents = 1.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 1.0000  Date_of_death = Jul2018 
 incidents = 1.0000  Date_of_death = Jun2018 
 incidents = 4.0000  Date_of_death = May2018 
 incidents = 1.0000  Date_of_death = Apr2018 
 incidents = 4.0000  Date_of_death = Mar2018 
 incidents = 4.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 1.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 4.0000  Date_of_death = Oct2017 
 incidents = 3.0000  Date_of_death = Sep2017 
 incidents = 1.0000  Date_of_death = Aug2017 
 incidents = 2.0000  Date_of_death = Jul2017 
 incidents = 4.0000  Date_of_death = Jun2017 
 incidents = 2.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 4.0000  Date_of_death = Mar2017 
 incidents = 4.0000  Date_of_death = Feb2017 
 incidents = 1.0000  Date_of_death = Jan2017 
 incidents = 4.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 4.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 4.0000  Date_of_death = Aug2016 
 incidents = 4.0000  Date_of_death = Jul2016 
 incidents = 4.0000  Date_of_death = Jun2016 
 incidents = 4.0000  Date_of_death = May2016 
 incidents = 2.0000  Date_of_death = Apr2016 
 incidents = 2.0000  Date_of_death = Mar2016 
 incidents = 1.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 4.0000  Date_of_death = Dec2015 
 incidents = 1.0000  Date_of_death = Nov2015 
 incidents = 2.0000  Date_of_death = Oct2015 
 incidents = 1.0000  Date_of_death = Sep2015 
 incidents = 4.0000  Date_of_death = Aug2015 
 incidents = 1.0000  Date_of_death = Jul2015 
 incidents = 2.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 4.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 4.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 1.0000  Date_of_death = Nov2014 
 incidents = 4.0000  Date_of_death = Oct2014 
 incidents = 1.0000  Date_of_death = Sep2014 
 incidents = 1.0000  Date_of_death = Aug2014 
 incidents = 4.0000  Date_of_death = Jul2014 
 incidents = 1.0000  Date_of_death = Jun2014 
 incidents = 1.0000  Date_of_death = May2014 
 incidents = 4.0000  Date_of_death = Apr2014 
 incidents = 4.0000  Date_of_death = Mar2014 
 incidents = 1.0000  Date_of_death = Feb2014 
 incidents = 4.0000  Date_of_death = Jan2014 
 incidents = 4.0000  Date_of_death = Dec2013 
 incidents = 2.0000  Date_of_death = Nov2013 
 incidents = 1.0000  Date_of_death = Oct2013 
 incidents = 2.0000  Date_of_death = Sep2013 
 incidents = 4.0000  Date_of_death = Aug2013 
 incidents = 4.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 3.0000  Date_of_death = May2013 
 incidents = 2.0000  Date_of_death = Apr2013 
 incidents = 4.0000  Date_of_death = Mar2013 
 incidents = 1.0000  Date_of_death = Feb2013 
 incidents = 4.0000  Date_of_death = Jan2013 
 incidents = 1.0000  Date_of_death = Dec2012 
 incidents = 4.0000  Date_of_death = Nov2012 
 incidents = 2.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 4.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 3.0000  Date_of_death = Jun2012 
 incidents = 4.0000  Date_of_death = May2012 
 incidents = 3.0000  Date_of_death = Apr2012 
 incidents = 4.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 1.0000  Date_of_death = Jan2012 
 incidents = 4.0000  Date_of_death = Dec2011 
 incidents = 3.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 2.0000  Date_of_death = Sep2011 
 incidents = 4.0000  Date_of_death = Aug2011 
 incidents = 3.0000  Date_of_death = Jul2011 
 incidents = 1.0000  Date_of_death = Jun2011 
 incidents = 2.0000  Date_of_death = May2011 
 incidents = 2.0000  Date_of_death = Apr2011 
 incidents = 2.0000  Date_of_death = Mar2011 
 incidents = 4.0000  Date_of_death = Feb2011 
 incidents = 2.0000  Date_of_death = Jan2011 
 incidents = 1.0000  Date_of_death = Dec2010 
 incidents = 2.0000  Date_of_death = Nov2010 
 incidents = 1.0000  Date_of_death = Oct2010 
 incidents = 4.0000  Date_of_death = Sep2010 
 incidents = 1.0000  Date_of_death = Aug2010 
 incidents = 3.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 4.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 4.0000  Date_of_death = Mar2010 
 incidents = 4.0000  Date_of_death = Feb2010 
 incidents = 4.0000  Date_of_death = Jan2010 
 incidents = 4.0000  Date_of_death = Dec2009 
 incidents = 1.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 4.0000  Date_of_death = Sep2009 
 incidents = 4.0000  Date_of_death = Aug2009 
 incidents = 2.0000  Date_of_death = Jul2009 
 incidents = 1.0000  Date_of_death = Jun2009 
 incidents = 4.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 4.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 2.0000  Date_of_death = Jan2009 
 incidents = 1.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 4.0000  Date_of_death = Sep2008 
 incidents = 4.0000  Date_of_death = Aug2008 
 incidents = 4.0000  Date_of_death = Jul2008 
 incidents = 4.0000  Date_of_death = Jun2008 
 incidents = 1.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 1.0000  Date_of_death = Mar2008 
 incidents = 4.0000  Date_of_death = Feb2008 
 incidents = 4.0000  Date_of_death = Jan2008 
 incidents = 4.0000  Date_of_death = Dec2007 
 incidents = 1.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 4.0000  Date_of_death = Aug2007 
 incidents = 4.0000  Date_of_death = Jul2007 
 incidents = 4.0000  Date_of_death = Jun2007 
 incidents = 4.0000  Date_of_death = May2007 
 incidents = 4.0000  Date_of_death = Apr2007 
 incidents = 4.0000  Date_of_death = Mar2007 
 incidents = 4.0000  Date_of_death = Feb2007 
 incidents = 4.0000  Date_of_death = Jan2007 
 incidents = 4.0000  Date_of_death = Dec2006 
 incidents = 4.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 4.0000  Date_of_death = Sep2006 
 incidents = 4.0000  Date_of_death = Aug2006 
 incidents = 4.0000  Date_of_death = Jul2006 
 incidents = 4.0000  Date_of_death = Jun2006 
 incidents = 4.0000  Date_of_death = May2006 
 incidents = 4.0000  Date_of_death = Apr2006 
 incidents = 1.0000  Date_of_death = Mar2006 
 incidents = 4.0000  Date_of_death = Feb2006 
 incidents = 4.0000  Date_of_death = Jan2006 
 incidents = 4.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 1.0000  Date_of_death = Oct2005 
 incidents = 4.0000  Date_of_death = Sep2005 
 incidents = 4.0000  Date_of_death = Aug2005 
 incidents = 1.0000  Date_of_death = Jul2005 
 incidents = 4.0000  Date_of_death = Jun2005 
 incidents = 1.0000  Date_of_death = May2005 
 incidents = 1.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 4.0000  Date_of_death = Jan2005 
 incidents = 4.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 4.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 4.0000  Date_of_death = Aug2004 
 incidents = 4.0000  Date_of_death = Jul2004 
 incidents = 4.0000  Date_of_death = Jun2004 
 incidents = 4.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 1.0000  Date_of_death = Mar2004 
 incidents = 1.0000  Date_of_death = Feb2004 
 incidents = 4.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 4.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 4.0000  Date_of_death = Sep2003 
 incidents = 4.0000  Date_of_death = Aug2003 
 incidents = 4.0000  Date_of_death = Jul2003 
 incidents = 4.0000  Date_of_death = Jun2003 
 incidents = 1.0000  Date_of_death = May2003 
 incidents = 4.0000  Date_of_death = Apr2003 
 incidents = 4.0000  Date_of_death = Mar2003 
 incidents = 1.0000  Date_of_death = Feb2003 
 incidents = 1.0000  Date_of_death = Jan2003 
 incidents = 1.0000  Date_of_death = Dec2002 
 incidents = 4.0000  Date_of_death = Nov2002 
 incidents = 4.0000  Date_of_death = Oct2002 
 incidents = 4.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 4.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 4.0000  Date_of_death = May2002 
 incidents = 2.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 4.0000  Date_of_death = Feb2002 
 incidents = 4.0000  Date_of_death = Jan2002 
 incidents = 2.0000  Date_of_death = Dec2001 
 incidents = 4.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 4.0000  Date_of_death = Sep2001 
 incidents = 4.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 4.0000  Date_of_death = Jun2001 
 incidents = 2.0000  Date_of_death = May2001 
 incidents = 4.0000  Date_of_death = Apr2001 
 incidents = 1.0000  Date_of_death = Mar2001 
 incidents = 4.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Sep2020 
 Upper 95% = 5.4921 
 Lower 95% = -0.2222  Date_of_death = Aug2020 
 Upper 95% = 5.8378 
 Lower 95% = 0.1247  Date_of_death = Aug2020 
 Upper 95% = 5.8378 
 Lower 95% = 0.1247  Date_of_death = Jul2020 
 Upper 95% = 5.6237 
 Lower 95% = -0.0893  Date_of_death = Jul2020 
 Upper 95% = 5.6237 
 Lower 95% = -0.0893  Date_of_death = Jun2020 
 Upper 95% = 5.4339 
 Lower 95% = -0.2787  Date_of_death = Jun2020 
 Upper 95% = 5.4339 
 Lower 95% = -0.2787  Date_of_death = May2020 
 Upper 95% = 4.9949 
 Lower 95% = -0.7173  Date_of_death = May2020 
 Upper 95% = 4.9949 
 Lower 95% = -0.7173  Date_of_death = Apr2020 
 Upper 95% = 5.8911 
 Lower 95% = 0.1793  Date_of_death = Apr2020 
 Upper 95% = 5.8911 
 Lower 95% = 0.1793  Date_of_death = Mar2020 
 Upper 95% = 5.3293 
 Lower 95% = -0.3821  Date_of_death = Mar2020 
 Upper 95% = 5.3293 
 Lower 95% = -0.3821  Date_of_death = Feb2020 
 Upper 95% = 5.3354 
 Lower 95% = -0.3756  Date_of_death = Feb2020 
 Upper 95% = 5.3354 
 Lower 95% = -0.3756  Date_of_death = Jan2020 
 Upper 95% = 5.8609 
 Lower 95% = 0.1494  Date_of_death = Jan2020 
 Upper 95% = 5.8609 
 Lower 95% = 0.1494  Date_of_death = Dec2019 
 Upper 95% = 4.8041 
 Lower 95% = -0.9071  Date_of_death = Dec2019 
 Upper 95% = 4.8041 
 Lower 95% = -0.9071  Date_of_death = Nov2019 
 Upper 95% = 5.6616 
 Lower 95% = -0.0493  Date_of_death = Nov2019 
 Upper 95% = 5.6616 
 Lower 95% = -0.0493  Date_of_death = Oct2019 
 Upper 95% = 4.9623 
 Lower 95% = -0.7471
Forecast Plot

County=Orange

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 4.00000 2.27848 1.27163

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 SEP2019 237 0 1.00000 4.00000 2.27848 1.27163

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.28817
Level Error Variance 0.48306
Season Error Variance 1.68658

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -395
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 237
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 225
AIC (smaller is better) 796.02
BIC (smaller is better) 806.27
AICC (smaller is better) 796.13
HQIC (smaller is better) 800.16
CAIC (smaller is better) 809.27
Likelihood Optimization Algorithm Converged in 11 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.62883 0.16133 10.10 <.0001
Level Error Variance 0.00000563 0.0003533 0.02 0.9873
Season Error Variance 0.00099787 0.0070562 0.14 0.8875

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 225
Mean Squared Error 1.96912
Root Mean Squared Error 1.40325
Mean Absolute Percentage Error 69.70696
Maximum Percent Error 75.01169
R-Square -0.24229
Adjusted R-Square -0.25348
Random Walk R-Square 0.36977
Amemiya's Adjusted R-Square -0.27587

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 0.00 0.9707
Level 1 711.85 <.0001
Season 11 6.83 0.8126

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.281518542 0.0855126

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00099787

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 4.6417 
 Percent = 0.0302  Prediction Error = 4.5948 
 Percent = 0.0369  Prediction Error = 4.5948 
 Percent = 0.0369  Prediction Error = 4.5479 
 Percent = 0.0447  Prediction Error = 4.5479 
 Percent = 0.0447  Prediction Error = 4.501 
 Percent = 0.054  Prediction Error = 4.501 
 Percent = 0.054  Prediction Error = 4.4542 
 Percent = 0.065  Prediction Error = 4.4542 
 Percent = 0.065  Prediction Error = 4.4073 
 Percent = 0.0778  Prediction Error = 4.4073 
 Percent = 0.0778  Prediction Error = 4.3604 
 Percent = 0.0927  Prediction Error = 4.3604 
 Percent = 0.0927  Prediction Error = 4.3135 
 Percent = 0.1101  Prediction Error = 4.3135 
 Percent = 0.1101  Prediction Error = 4.2666 
 Percent = 0.1301  Prediction Error = 4.2666 
 Percent = 0.1301  Prediction Error = 4.2197 
 Percent = 0.1532  Prediction Error = 4.2197 
 Percent = 0.1532  Prediction Error = 4.1728 
 Percent = 0.1795  Prediction Error = 4.1728 
 Percent = 0.1795  Prediction Error = 4.1259 
 Percent = 0.2096  Prediction Error = 4.1259 
 Percent = 0.2096  Prediction Error = 4.079 
 Percent = 0.2437  Prediction Error = 4.079 
 Percent = 0.2437  Prediction Error = 4.0321 
 Percent = 0.2823  Prediction Error = 4.0321 
 Percent = 0.2823  Prediction Error = 3.9852 
 Percent = 0.3258  Prediction Error = 3.9852 
 Percent = 0.3258  Prediction Error = 3.9383 
 Percent = 0.3745  Prediction Error = 3.9383 
 Percent = 0.3745  Prediction Error = 3.8914 
 Percent = 0.429  Prediction Error = 3.8914 
 Percent = 0.429  Prediction Error = 3.8445 
 Percent = 0.4896  Prediction Error = 3.8445 
 Percent = 0.4896  Prediction Error = 3.7977 
 Percent = 0.5568  Prediction Error = 3.7977 
 Percent = 0.5568  Prediction Error = 3.7508 
 Percent = 0.6311  Prediction Error = 3.7508 
 Percent = 0.6311  Prediction Error = 3.7039 
 Percent = 0.7129  Prediction Error = 3.7039 
 Percent = 0.7129  Prediction Error = 3.657 
 Percent = 0.8027  Prediction Error = 3.657 
 Percent = 0.8027  Prediction Error = 3.6101 
 Percent = 0.901  Prediction Error = 3.6101 
 Percent = 0.901  Prediction Error = 3.5632 
 Percent = 1.0081  Prediction Error = 3.5632 
 Percent = 1.0081  Prediction Error = 3.5163 
 Percent = 1.1246  Prediction Error = 3.5163 
 Percent = 1.1246  Prediction Error = 3.4694 
 Percent = 1.2508  Prediction Error = 3.4694 
 Percent = 1.2508  Prediction Error = 3.4225 
 Percent = 1.3872  Prediction Error = 3.4225 
 Percent = 1.3872  Prediction Error = 3.3756 
 Percent = 1.5342  Prediction Error = 3.3756 
 Percent = 1.5342  Prediction Error = 3.3287 
 Percent = 1.692  Prediction Error = 3.3287 
 Percent = 1.692  Prediction Error = 3.2818 
 Percent = 1.861  Prediction Error = 3.2818 
 Percent = 1.861  Prediction Error = 3.2349 
 Percent = 2.0415  Prediction Error = 3.2349 
 Percent = 2.0415  Prediction Error = 3.188 
 Percent = 2.2336  Prediction Error = 3.188 
 Percent = 2.2336  Prediction Error = 3.1411 
 Percent = 2.4375  Prediction Error = 3.1411 
 Percent = 2.4375  Prediction Error = 3.0943 
 Percent = 2.6531  Prediction Error = 3.0943 
 Percent = 2.6531  Prediction Error = 3.0474 
 Percent = 2.8805  Prediction Error = 3.0474 
 Percent = 2.8805  Prediction Error = 3.0005 
 Percent = 3.1195  Prediction Error = 3.0005 
 Percent = 3.1195  Prediction Error = 2.9536 
 Percent = 3.3699  Prediction Error = 2.9536 
 Percent = 3.3699  Prediction Error = 2.9067 
 Percent = 3.6311  Prediction Error = 2.9067 
 Percent = 3.6311  Prediction Error = 2.8598 
 Percent = 3.9028  Prediction Error = 2.8598 
 Percent = 3.9028  Prediction Error = 2.8129 
 Percent = 4.1841  Prediction Error = 2.8129 
 Percent = 4.1841  Prediction Error = 2.766 
 Percent = 4.4744  Prediction Error = 2.766 
 Percent = 4.4744  Prediction Error = 2.6722 
 Percent = 5.0776  Prediction Error = 2.6722 
 Percent = 5.0776  Prediction Error = 2.4846 
 Percent = 6.3379  Prediction Error = 2.4846 
 Percent = 6.3379  Prediction Error = 2.344 
 Percent = 7.2794  Prediction Error = 2.344 
 Percent = 7.2794  Prediction Error = 2.2502 
 Percent = 7.878  Prediction Error = 2.2502 
 Percent = 7.878  Prediction Error = 2.2033 
 Percent = 8.1629  Prediction Error = 2.2033 
 Percent = 8.1629  Prediction Error = 2.1564 
 Percent = 8.4359  Prediction Error = 2.1564 
 Percent = 8.4359  Prediction Error = 2.1095 
 Percent = 8.6953  Prediction Error = 2.1095 
 Percent = 8.6953  Prediction Error = 2.0626 
 Percent = 8.9396  Prediction Error = 2.0626 
 Percent = 8.9396  Prediction Error = 2.0157 
 Percent = 9.1675  Prediction Error = 2.0157 
 Percent = 9.1675  Prediction Error = 1.9688 
 Percent = 9.3779  Prediction Error = 1.9688 
 Percent = 9.3779  Prediction Error = 1.9219 
 Percent = 9.5698  Prediction Error = 1.9219 
 Percent = 9.5698  Prediction Error = 1.875 
 Percent = 9.7426  Prediction Error = 1.875 
 Percent = 9.7426  Prediction Error = 1.8281 
 Percent = 9.8959  Prediction Error = 1.8281 
 Percent = 9.8959  Prediction Error = 1.7812 
 Percent = 10.029  Prediction Error = 1.7812 
 Percent = 10.029  Prediction Error = 1.7344 
 Percent = 10.144  Prediction Error = 1.7344 
 Percent = 10.144  Prediction Error = 1.6875 
 Percent = 10.238  Prediction Error = 1.6875 
 Percent = 10.238  Prediction Error = 1.6406 
 Percent = 10.315  Prediction Error = 1.6406 
 Percent = 10.315  Prediction Error = 1.5937 
 Percent = 10.374  Prediction Error = 1.5937 
 Percent = 10.374  Prediction Error = 1.5468 
 Percent = 10.416  Prediction Error = 1.5468 
 Percent = 10.416  Prediction Error = 1.4999 
 Percent = 10.444  Prediction Error = 1.4999 
 Percent = 10.444  Prediction Error = 1.453 
 Percent = 10.457  Prediction Error = 1.453 
 Percent = 10.457  Prediction Error = 1.4061 
 Percent = 10.46  Prediction Error = 1.4061 
 Percent = 10.46  Prediction Error = 1.3592 
 Percent = 10.452  Prediction Error = 1.3592 
 Percent = 10.452  Prediction Error = 1.3123 
 Percent = 10.437  Prediction Error = 1.3123 
 Percent = 10.437  Prediction Error = 1.2654 
 Percent = 10.416  Prediction Error = 1.2654 
 Percent = 10.416  Prediction Error = 1.2185 
 Percent = 10.391  Prediction Error = 1.2185 
 Percent = 10.391  Prediction Error = 1.1716 
 Percent = 10.365  Prediction Error = 1.1716 
 Percent = 10.365  Prediction Error = 1.1247 
 Percent = 10.341  Prediction Error = 1.1247 
 Percent = 10.341  Prediction Error = 1.0778 
 Percent = 10.319  Prediction Error = 1.0778 
 Percent = 10.319  Prediction Error = 1.031 
 Percent = 10.302  Prediction Error = 1.031 
 Percent = 10.302  Prediction Error = 0.9841 
 Percent = 10.293  Prediction Error = 0.9841 
 Percent = 10.293  Prediction Error = 0.9372 
 Percent = 10.292  Prediction Error = 0.9372 
 Percent = 10.292  Prediction Error = 0.8903 
 Percent = 10.302  Prediction Error = 0.8903 
 Percent = 10.302  Prediction Error = 0.8434 
 Percent = 10.324  Prediction Error = 0.8434 
 Percent = 10.324  Prediction Error = 0.7965 
 Percent = 10.36  Prediction Error = 0.7965 
 Percent = 10.36  Prediction Error = 0.7496 
 Percent = 10.41  Prediction Error = 0.7496 
 Percent = 10.41  Prediction Error = 0.7027 
 Percent = 10.476  Prediction Error = 0.7027 
 Percent = 10.476  Prediction Error = 0.6558 
 Percent = 10.557  Prediction Error = 0.6558 
 Percent = 10.557  Prediction Error = 0.6089 
 Percent = 10.654  Prediction Error = 0.6089 
 Percent = 10.654  Prediction Error = 0.562 
 Percent = 10.767  Prediction Error = 0.562 
 Percent = 10.767  Prediction Error = 0.5151 
 Percent = 10.897  Prediction Error = 0.5151 
 Percent = 10.897  Prediction Error = 0.4682 
 Percent = 11.041  Prediction Error = 0.4682 
 Percent = 11.041  Prediction Error = 0.4213 
 Percent = 11.2  Prediction Error = 0.4213 
 Percent = 11.2  Prediction Error = 0.3745 
 Percent = 11.372  Prediction Error = 0.3745 
 Percent = 11.372  Prediction Error = 0.3276 
 Percent = 11.557  Prediction Error = 0.3276 
 Percent = 11.557  Prediction Error = 0.2807 
 Percent = 11.752  Prediction Error = 0.2807 
 Percent = 11.752  Prediction Error = -0.048 
 Percent = 13.271  Prediction Error = -0.048 
 Percent = 13.271  Prediction Error = -0.141 
 Percent = 13.697  Prediction Error = -0.141 
 Percent = 13.697  Prediction Error = -0.188 
 Percent = 13.899  Prediction Error = -0.188 
 Percent = 13.899  Prediction Error = -0.235 
 Percent = 14.091  Prediction Error = -0.235 
 Percent = 14.091  Prediction Error = -0.282 
 Percent = 14.272  Prediction Error = -0.282 
 Percent = 14.272  Prediction Error = -0.329 
 Percent = 14.441  Prediction Error = -0.329 
 Percent = 14.441  Prediction Error = -0.376 
 Percent = 14.596  Prediction Error = -0.376 
 Percent = 14.596  Prediction Error = -0.423 
 Percent = 14.735  Prediction Error = -0.423 
 Percent = 14.735  Prediction Error = -0.47 
 Percent = 14.857  Prediction Error = -0.47 
 Percent = 14.857  Prediction Error = -0.517 
 Percent = 14.961  Prediction Error = -0.517 
 Percent = 14.961  Prediction Error = -0.563 
 Percent = 15.047  Prediction Error = -0.563 
 Percent = 15.047  Prediction Error = -0.61 
 Percent = 15.112  Prediction Error = -0.61 
 Percent = 15.112  Prediction Error = -0.657 
 Percent = 15.157  Prediction Error = -0.657 
 Percent = 15.157  Prediction Error = -0.704 
 Percent = 15.179  Prediction Error = -0.704 
 Percent = 15.179  Prediction Error = -0.751 
 Percent = 15.179  Prediction Error = -0.751 
 Percent = 15.179  Prediction Error = -0.798 
 Percent = 15.155  Prediction Error = -0.798 
 Percent = 15.155  Prediction Error = -0.845 
 Percent = 15.107  Prediction Error = -0.845 
 Percent = 15.107  Prediction Error = -0.892 
 Percent = 15.034  Prediction Error = -0.892 
 Percent = 15.034  Prediction Error = -0.939 
 Percent = 14.936  Prediction Error = -0.939 
 Percent = 14.936  Prediction Error = -0.985 
 Percent = 14.812  Prediction Error = -0.985 
 Percent = 14.812  Prediction Error = -1.032 
 Percent = 14.663  Prediction Error = -1.032 
 Percent = 14.663  Prediction Error = -1.079 
 Percent = 14.488  Prediction Error = -1.079 
 Percent = 14.488  Prediction Error = -1.126 
 Percent = 14.287  Prediction Error = -1.126 
 Percent = 14.287  Prediction Error = -1.173 
 Percent = 14.061  Prediction Error = -1.173 
 Percent = 14.061  Prediction Error = -1.22 
 Percent = 13.81  Prediction Error = -1.22 
 Percent = 13.81  Prediction Error = -1.267 
 Percent = 13.535  Prediction Error = -1.267 
 Percent = 13.535  Prediction Error = -1.314 
 Percent = 13.237  Prediction Error = -1.314 
 Percent = 13.237  Prediction Error = -1.361 
 Percent = 12.917  Prediction Error = -1.361 
 Percent = 12.917  Prediction Error = -1.407 
 Percent = 12.576  Prediction Error = -1.407 
 Percent = 12.576  Prediction Error = -1.454 
 Percent = 12.217  Prediction Error = -1.454 
 Percent = 12.217  Prediction Error = -1.501 
 Percent = 11.84  Prediction Error = -1.501 
 Percent = 11.84  Prediction Error = -1.548 
 Percent = 11.449  Prediction Error = -1.548 
 Percent = 11.449  Prediction Error = -1.923 
 Percent = 8.0415  Prediction Error = -1.923 
 Percent = 8.0415  Prediction Error = -2.017 
 Percent = 7.1977  Prediction Error = -2.017 
 Percent = 7.1977  Prediction Error = -2.111 
 Percent = 6.3902  Prediction Error = -2.111 
 Percent = 6.3902  Prediction Error = -2.158 
 Percent = 6.0041  Prediction Error = -2.158 
 Percent = 6.0041  Prediction Error = -2.205 
 Percent = 5.6314  Prediction Error = -2.205 
 Percent = 5.6314  Prediction Error = -2.252 
 Percent = 5.2732  Prediction Error = -2.252 
 Percent = 5.2732  Prediction Error = -2.298 
 Percent = 4.9302  Prediction Error = -2.298 
 Percent = 4.9302  Prediction Error = -2.345 
 Percent = 4.6032  Prediction Error = -2.345 
 Percent = 4.6032  Prediction Error = -2.392 
 Percent = 4.2925  Prediction Error = -2.392 
 Percent = 4.2925  Prediction Error = -2.439 
 Percent = 3.9982  Prediction Error = -2.439 
 Percent = 3.9982  Prediction Error = -2.486 
 Percent = 3.7205  Prediction Error = -2.486 
 Percent = 3.7205  Prediction Error = -2.533 
 Percent = 3.4592  Prediction Error = -2.533 
 Percent = 3.4592  Prediction Error = -2.58 
 Percent = 3.2139  Prediction Error = -2.58 
 Percent = 3.2139  Prediction Error = -2.627 
 Percent = 2.9843  Prediction Error = -2.627 
 Percent = 2.9843  Prediction Error = -2.674 
 Percent = 2.7697  Prediction Error = -2.674 
 Percent = 2.7697  Prediction Error = -2.72 
 Percent = 2.5697  Prediction Error = -2.72 
 Percent = 2.5697  Prediction Error = -2.767 
 Percent = 2.3834  Prediction Error = -2.767 
 Percent = 2.3834  Prediction Error = -2.814 
 Percent = 2.2101  Prediction Error = -2.814 
 Percent = 2.2101  Prediction Error = -2.861 
 Percent = 2.049  Prediction Error = -2.861 
 Percent = 2.049  Prediction Error = -2.908 
 Percent = 1.8993  Prediction Error = -2.908 
 Percent = 1.8993  Prediction Error = -2.955 
 Percent = 1.7601  Prediction Error = -2.955 
 Percent = 1.7601  Prediction Error = -3.002 
 Percent = 1.6307  Prediction Error = -3.002 
 Percent = 1.6307  Prediction Error = -3.049 
 Percent = 1.5104  Prediction Error = -3.049 
 Percent = 1.5104  Prediction Error = -3.096 
 Percent = 1.3983  Prediction Error = -3.096 
 Percent = 1.3983  Prediction Error = -3.143 
 Percent = 1.2938  Prediction Error = -3.143 
 Percent = 1.2938  Prediction Error = -3.189 
 Percent = 1.1962  Prediction Error = -3.189 
 Percent = 1.1962  Prediction Error = -3.236 
 Percent = 1.105  Prediction Error = -3.236 
 Percent = 1.105  Prediction Error = -3.283 
 Percent = 1.0197  Prediction Error = -3.283 
 Percent = 1.0197  Prediction Error = -3.33 
 Percent = 0.9397  Prediction Error = -3.33 
 Percent = 0.9397  Prediction Error = -3.377 
 Percent = 0.8647  Prediction Error = -3.377 
 Percent = 0.8647  Prediction Error = -3.424 
 Percent = 0.7943  Prediction Error = -3.424 
 Percent = 0.7943  Prediction Error = -3.471 
 Percent = 0.7282  Prediction Error = -3.471 
 Percent = 0.7282  Prediction Error = -3.518 
 Percent = 0.6662  Prediction Error = -3.518 
 Percent = 0.6662  Prediction Error = -3.565 
 Percent = 0.608  Prediction Error = -3.565 
 Percent = 0.608  Prediction Error = -3.611 
 Percent = 0.5534  Prediction Error = -3.611 
 Percent = 0.5534  Prediction Error = -3.658 
 Percent = 0.5023  Prediction Error = -3.658 
 Percent = 0.5023  Prediction Error = -3.705 
 Percent = 0.4546  Prediction Error = -3.705 
 Percent = 0.4546  Prediction Error = -3.752 
 Percent = 0.4101  Prediction Error = -3.752 
 Percent = 0.4101  Prediction Error = -3.799 
 Percent = 0.3687  Prediction Error = -3.799 
 Percent = 0.3687  Prediction Error = -3.846 
 Percent = 0.3303  Prediction Error = -3.846 
 Percent = 0.3303  Prediction Error = -3.893 
 Percent = 0.2949  Prediction Error = -3.893 
 Percent = 0.2949  Prediction Error = -3.94 
 Percent = 0.2622  Prediction Error = -3.94 
 Percent = 0.2622  Prediction Error = -3.987 
 Percent = 0.2322  Prediction Error = -3.987 
 Percent = 0.2322  Prediction Error = -4.034 
 Percent = 0.2048  Prediction Error = -4.034 
 Percent = 0.2048  Prediction Error = -4.08 
 Percent = 0.1799  Prediction Error = -4.08 
 Percent = 0.1799  Prediction Error = -4.127 
 Percent = 0.1574  Prediction Error = -4.127 
 Percent = 0.1574  Prediction Error = -4.174 
 Percent = 0.137  Prediction Error = -4.174 
 Percent = 0.137  Prediction Error = -4.221 
 Percent = 0.1188  Prediction Error = -4.221 
 Percent = 0.1188  Prediction Error = -4.268 
 Percent = 0.1025  Prediction Error = -4.268 
 Percent = 0.1025  Prediction Error = -4.315 
 Percent = 0.0881  Prediction Error = -4.315 
 Percent = 0.0881  Prediction Error = -4.362 
 Percent = 0.0753  Prediction Error = -4.362 
 Percent = 0.0753  Prediction Error = -4.409 
 Percent = 0.0641  Prediction Error = -4.409 
 Percent = 0.0641  Prediction Error = -4.456 
 Percent = 0.0543  Prediction Error = -4.456 
 Percent = 0.0543  Prediction Error = -4.502 
 Percent = 0.0457  Prediction Error = -4.502 
 Percent = 0.0457  Prediction Error = -4.549 
 Percent = 0.0384  Prediction Error = -4.549 
 Percent = 0.0384  Prediction Error = -4.596 
 Percent = 0.032  Prediction Error = -4.596 
 Percent = 0.032  Prediction Error = -4.643 
 Percent = 0.0266  Prediction Error = 4.2825 
 Percent = 0.1893  Prediction Error = 4.2399 
 Percent = 0.2072  Prediction Error = 4.2399 
 Percent = 0.2072  Prediction Error = 4.1974 
 Percent = 0.2266  Prediction Error = 4.1974 
 Percent = 0.2266  Prediction Error = 4.1548 
 Percent = 0.2476  Prediction Error = 4.1548 
 Percent = 0.2476  Prediction Error = 4.1122 
 Percent = 0.2703  Prediction Error = 4.1122 
 Percent = 0.2703  Prediction Error = 4.0697 
 Percent = 0.2948  Prediction Error = 4.0697 
 Percent = 0.2948  Prediction Error = 4.0271 
 Percent = 0.3213  Prediction Error = 4.0271 
 Percent = 0.3213  Prediction Error = 3.9845 
 Percent = 0.3497  Prediction Error = 3.9845 
 Percent = 0.3497  Prediction Error = 3.942 
 Percent = 0.3804  Prediction Error = 3.942 
 Percent = 0.3804  Prediction Error = 3.8994 
 Percent = 0.4134  Prediction Error = 3.8994 
 Percent = 0.4134  Prediction Error = 3.8568 
 Percent = 0.4488  Prediction Error = 3.8568 
 Percent = 0.4488  Prediction Error = 3.8143 
 Percent = 0.4868  Prediction Error = 3.8143 
 Percent = 0.4868  Prediction Error = 3.7717 
 Percent = 0.5275  Prediction Error = 3.7717 
 Percent = 0.5275  Prediction Error = 3.7291 
 Percent = 0.5711  Prediction Error = 3.7291 
 Percent = 0.5711  Prediction Error = 3.6866 
 Percent = 0.6177  Prediction Error = 3.6866 
 Percent = 0.6177  Prediction Error = 3.644 
 Percent = 0.6676  Prediction Error = 3.644 
 Percent = 0.6676  Prediction Error = 3.6014 
 Percent = 0.7208  Prediction Error = 3.6014 
 Percent = 0.7208  Prediction Error = 3.5589 
 Percent = 0.7775  Prediction Error = 3.5589 
 Percent = 0.7775  Prediction Error = 3.5163 
 Percent = 0.8379  Prediction Error = 3.5163 
 Percent = 0.8379  Prediction Error = 3.4737 
 Percent = 0.9022  Prediction Error = 3.4737 
 Percent = 0.9022  Prediction Error = 3.4312 
 Percent = 0.9705  Prediction Error = 3.4312 
 Percent = 0.9705  Prediction Error = 3.3886 
 Percent = 1.0431  Prediction Error = 3.3886 
 Percent = 1.0431  Prediction Error = 3.346 
 Percent = 1.12  Prediction Error = 3.346 
 Percent = 1.12  Prediction Error = 3.3035 
 Percent = 1.2015  Prediction Error = 3.3035 
 Percent = 1.2015  Prediction Error = 3.2609 
 Percent = 1.2878  Prediction Error = 3.2609 
 Percent = 1.2878  Prediction Error = 3.2183 
 Percent = 1.379  Prediction Error = 3.2183 
 Percent = 1.379  Prediction Error = 3.1758 
 Percent = 1.4753  Prediction Error = 3.1758 
 Percent = 1.4753  Prediction Error = 3.1332 
 Percent = 1.5768  Prediction Error = 3.1332 
 Percent = 1.5768  Prediction Error = 3.0906 
 Percent = 1.6838  Prediction Error = 3.0906 
 Percent = 1.6838  Prediction Error = 3.0481 
 Percent = 1.7964  Prediction Error = 3.0481 
 Percent = 1.7964  Prediction Error = 3.0055 
 Percent = 1.9148  Prediction Error = 3.0055 
 Percent = 1.9148  Prediction Error = 2.9629 
 Percent = 2.0391  Prediction Error = 2.9629 
 Percent = 2.0391  Prediction Error = 2.9204 
 Percent = 2.1695  Prediction Error = 2.9204 
 Percent = 2.1695  Prediction Error = 2.8778 
 Percent = 2.3061  Prediction Error = 2.8778 
 Percent = 2.3061  Prediction Error = 2.8352 
 Percent = 2.4491  Prediction Error = 2.8352 
 Percent = 2.4491  Prediction Error = 2.7927 
 Percent = 2.5985  Prediction Error = 2.7927 
 Percent = 2.5985  Prediction Error = 2.7501 
 Percent = 2.7546  Prediction Error = 2.7501 
 Percent = 2.7546  Prediction Error = 2.7075 
 Percent = 2.9173  Prediction Error = 2.7075 
 Percent = 2.9173  Prediction Error = 2.665 
 Percent = 3.0868  Prediction Error = 2.665 
 Percent = 3.0868  Prediction Error = 2.6224 
 Percent = 3.2631  Prediction Error = 2.6224 
 Percent = 3.2631  Prediction Error = 2.5798 
 Percent = 3.4464  Prediction Error = 2.5798 
 Percent = 3.4464  Prediction Error = 2.5373 
 Percent = 3.6366  Prediction Error = 2.5373 
 Percent = 3.6366  Prediction Error = 2.4947 
 Percent = 3.8337  Prediction Error = 2.4947 
 Percent = 3.8337  Prediction Error = 2.4521 
 Percent = 4.0379  Prediction Error = 2.4521 
 Percent = 4.0379  Prediction Error = 2.4096 
 Percent = 4.249  Prediction Error = 2.4096 
 Percent = 4.249  Prediction Error = 2.367 
 Percent = 4.4671  Prediction Error = 2.367 
 Percent = 4.4671  Prediction Error = 2.2819 
 Percent = 4.9237  Prediction Error = 2.2819 
 Percent = 4.9237  Prediction Error = 2.1967 
 Percent = 5.4072  Prediction Error = 2.1967 
 Percent = 5.4072  Prediction Error = 2.1116 
 Percent = 5.9164  Prediction Error = 2.1116 
 Percent = 5.9164  Prediction Error = 2.0265 
 Percent = 6.4498  Prediction Error = 2.0265 
 Percent = 6.4498  Prediction Error = 1.9413 
 Percent = 7.0054  Prediction Error = 1.9413 
 Percent = 7.0054  Prediction Error = 1.3028 
 Percent = 11.582  Prediction Error = 1.3028 
 Percent = 11.582  Prediction Error = 1.1751 
 Percent = 12.493  Prediction Error = 1.1751 
 Percent = 12.493  Prediction Error = 1.09 
 Percent = 13.08  Prediction Error = 1.09 
 Percent = 13.08  Prediction Error = 1.0049 
 Percent = 13.645  Prediction Error = 1.0049 
 Percent = 13.645  Prediction Error = 0.9197 
 Percent = 14.181  Prediction Error = 0.9197 
 Percent = 14.181  Prediction Error = 0.8771 
 Percent = 14.437  Prediction Error = 0.8771 
 Percent = 14.437  Prediction Error = 0.8346 
 Percent = 14.685  Prediction Error = 0.8346 
 Percent = 14.685  Prediction Error = 0.792 
 Percent = 14.923  Prediction Error = 0.792 
 Percent = 14.923  Prediction Error = 0.7494 
 Percent = 15.151  Prediction Error = 0.7494 
 Percent = 15.151  Prediction Error = 0.7069 
 Percent = 15.368  Prediction Error = 0.7069 
 Percent = 15.368  Prediction Error = 0.6643 
 Percent = 15.574  Prediction Error = 0.6643 
 Percent = 15.574  Prediction Error = 0.6217 
 Percent = 15.768  Prediction Error = 0.6217 
 Percent = 15.768  Prediction Error = 0.5792 
 Percent = 15.95  Prediction Error = 0.5792 
 Percent = 15.95  Prediction Error = 0.5366 
 Percent = 16.119  Prediction Error = 0.5366 
 Percent = 16.119  Prediction Error = 0.494 
 Percent = 16.276  Prediction Error = 0.494 
 Percent = 16.276  Prediction Error = 0.4515 
 Percent = 16.418  Prediction Error = 0.4515 
 Percent = 16.418  Prediction Error = 0.4089 
 Percent = 16.547  Prediction Error = 0.4089 
 Percent = 16.547  Prediction Error = 0.3663 
 Percent = 16.661  Prediction Error = 0.3663 
 Percent = 16.661  Prediction Error = 0.3238 
 Percent = 16.761  Prediction Error = 0.3238 
 Percent = 16.761  Prediction Error = 0.2812 
 Percent = 16.846  Prediction Error = 0.2812 
 Percent = 16.846  Prediction Error = 0.2386 
 Percent = 16.915  Prediction Error = 0.2386 
 Percent = 16.915  Prediction Error = 0.1961 
 Percent = 16.97  Prediction Error = 0.1961 
 Percent = 16.97  Prediction Error = 0.1535 
 Percent = 17.009  Prediction Error = 0.1535 
 Percent = 17.009  Prediction Error = 0.1109 
 Percent = 17.032  Prediction Error = 0.1109 
 Percent = 17.032  Prediction Error = 0.0684 
 Percent = 17.04  Prediction Error = 0.0684 
 Percent = 17.04  Prediction Error = 0.0258 
 Percent = 17.032  Prediction Error = 0.0258 
 Percent = 17.032  Prediction Error = -0.017 
 Percent = 17.009  Prediction Error = -0.017 
 Percent = 17.009  Prediction Error = -0.059 
 Percent = 16.97  Prediction Error = -0.059 
 Percent = 16.97  Prediction Error = -0.102 
 Percent = 16.915  Prediction Error = -0.102 
 Percent = 16.915  Prediction Error = -0.144 
 Percent = 16.846  Prediction Error = -0.144 
 Percent = 16.846  Prediction Error = -0.187 
 Percent = 16.761  Prediction Error = -0.187 
 Percent = 16.761  Prediction Error = -0.23 
 Percent = 16.661  Prediction Error = -0.23 
 Percent = 16.661  Prediction Error = -0.272 
 Percent = 16.547  Prediction Error = -0.272 
 Percent = 16.547  Prediction Error = -0.315 
 Percent = 16.418  Prediction Error = -0.315 
 Percent = 16.418  Prediction Error = -0.357 
 Percent = 16.276  Prediction Error = -0.357 
 Percent = 16.276  Prediction Error = -0.4 
 Percent = 16.119  Prediction Error = -0.4 
 Percent = 16.119  Prediction Error = -0.442 
 Percent = 15.95  Prediction Error = -0.442 
 Percent = 15.95  Prediction Error = -0.485 
 Percent = 15.768  Prediction Error = -0.485 
 Percent = 15.768  Prediction Error = -0.528 
 Percent = 15.574  Prediction Error = -0.528 
 Percent = 15.574  Prediction Error = -0.57 
 Percent = 15.368  Prediction Error = -0.57 
 Percent = 15.368  Prediction Error = -0.613 
 Percent = 15.151  Prediction Error = -0.613 
 Percent = 15.151  Prediction Error = -0.655 
 Percent = 14.923  Prediction Error = -0.655 
 Percent = 14.923  Prediction Error = -0.698 
 Percent = 14.685  Prediction Error = -0.698 
 Percent = 14.685  Prediction Error = -0.74 
 Percent = 14.437  Prediction Error = -0.74 
 Percent = 14.437  Prediction Error = -0.783 
 Percent = 14.181  Prediction Error = -0.783 
 Percent = 14.181  Prediction Error = -0.868 
 Percent = 13.645  Prediction Error = -0.868 
 Percent = 13.645  Prediction Error = -0.953 
 Percent = 13.08  Prediction Error = -0.953 
 Percent = 13.08  Prediction Error = -1.464 
 Percent = 9.3983  Prediction Error = -1.464 
 Percent = 9.3983  Prediction Error = -1.634 
 Percent = 8.174  Prediction Error = -1.634 
 Percent = 8.174  Prediction Error = -1.762 
 Percent = 7.2909  Prediction Error = -1.762 
 Percent = 7.2909  Prediction Error = -1.847 
 Percent = 6.7249  Prediction Error = -1.847 
 Percent = 6.7249  Prediction Error = -1.932 
 Percent = 6.1801  Prediction Error = -1.932 
 Percent = 6.1801  Prediction Error = -2.017 
 Percent = 5.6587  Prediction Error = -2.017 
 Percent = 5.6587  Prediction Error = -2.103 
 Percent = 5.1622  Prediction Error = -2.103 
 Percent = 5.1622  Prediction Error = -2.188 
 Percent = 4.692  Prediction Error = -2.188 
 Percent = 4.692  Prediction Error = -2.23 
 Percent = 4.4671  Prediction Error = -2.23 
 Percent = 4.4671  Prediction Error = -2.273 
 Percent = 4.249  Prediction Error = -2.273 
 Percent = 4.249  Prediction Error = -2.315 
 Percent = 4.0379  Prediction Error = -2.315 
 Percent = 4.0379  Prediction Error = -2.358 
 Percent = 3.8337  Prediction Error = -2.358 
 Percent = 3.8337  Prediction Error = -2.401 
 Percent = 3.6366  Prediction Error = -2.401 
 Percent = 3.6366  Prediction Error = -2.443 
 Percent = 3.4464  Prediction Error = -2.443 
 Percent = 3.4464  Prediction Error = -2.486 
 Percent = 3.2631  Prediction Error = -2.486 
 Percent = 3.2631  Prediction Error = -2.528 
 Percent = 3.0868  Prediction Error = -2.528 
 Percent = 3.0868  Prediction Error = -2.571 
 Percent = 2.9173  Prediction Error = -2.571 
 Percent = 2.9173  Prediction Error = -2.613 
 Percent = 2.7546  Prediction Error = -2.613 
 Percent = 2.7546  Prediction Error = -2.656 
 Percent = 2.5985  Prediction Error = -2.656 
 Percent = 2.5985  Prediction Error = -2.698 
 Percent = 2.4491  Prediction Error = -2.698 
 Percent = 2.4491  Prediction Error = -2.741 
 Percent = 2.3061  Prediction Error = -2.741 
 Percent = 2.3061  Prediction Error = -2.784 
 Percent = 2.1695  Prediction Error = -2.784 
 Percent = 2.1695  Prediction Error = -2.826 
 Percent = 2.0391  Prediction Error = -2.826 
 Percent = 2.0391  Prediction Error = -2.869 
 Percent = 1.9148  Prediction Error = -2.869 
 Percent = 1.9148  Prediction Error = -2.911 
 Percent = 1.7964  Prediction Error = -2.911 
 Percent = 1.7964  Prediction Error = -2.954 
 Percent = 1.6838  Prediction Error = -2.954 
 Percent = 1.6838  Prediction Error = -2.996 
 Percent = 1.5768  Prediction Error = -2.996 
 Percent = 1.5768  Prediction Error = -3.039 
 Percent = 1.4753  Prediction Error = -3.039 
 Percent = 1.4753  Prediction Error = -3.082 
 Percent = 1.379  Prediction Error = -3.082 
 Percent = 1.379  Prediction Error = -3.124 
 Percent = 1.2878  Prediction Error = -3.124 
 Percent = 1.2878  Prediction Error = -3.167 
 Percent = 1.2015  Prediction Error = -3.167 
 Percent = 1.2015  Prediction Error = -3.209 
 Percent = 1.12  Prediction Error = -3.209 
 Percent = 1.12  Prediction Error = -3.252 
 Percent = 1.0431  Prediction Error = -3.252 
 Percent = 1.0431  Prediction Error = -3.294 
 Percent = 0.9705  Prediction Error = -3.294 
 Percent = 0.9705  Prediction Error = -3.337 
 Percent = 0.9022  Prediction Error = -3.337 
 Percent = 0.9022  Prediction Error = -3.38 
 Percent = 0.8379  Prediction Error = -3.38 
 Percent = 0.8379  Prediction Error = -3.422 
 Percent = 0.7775  Prediction Error = -3.422 
 Percent = 0.7775  Prediction Error = -3.465 
 Percent = 0.7208  Prediction Error = -3.465 
 Percent = 0.7208  Prediction Error = -3.507 
 Percent = 0.6676  Prediction Error = -3.507 
 Percent = 0.6676  Prediction Error = -3.55 
 Percent = 0.6177  Prediction Error = -3.55 
 Percent = 0.6177  Prediction Error = -3.592 
 Percent = 0.5711  Prediction Error = -3.592 
 Percent = 0.5711  Prediction Error = -3.635 
 Percent = 0.5275  Prediction Error = -3.635 
 Percent = 0.5275  Prediction Error = -3.678 
 Percent = 0.4868  Prediction Error = -3.678 
 Percent = 0.4868  Prediction Error = -3.72 
 Percent = 0.4488  Prediction Error = -3.72 
 Percent = 0.4488  Prediction Error = -3.763 
 Percent = 0.4134  Prediction Error = -3.763 
 Percent = 0.4134  Prediction Error = -3.805 
 Percent = 0.3804  Prediction Error = -3.805 
 Percent = 0.3804  Prediction Error = -3.848 
 Percent = 0.3497  Prediction Error = -3.848 
 Percent = 0.3497  Prediction Error = -3.89 
 Percent = 0.3213  Prediction Error = -3.89 
 Percent = 0.3213  Prediction Error = -3.933 
 Percent = 0.2948  Prediction Error = -3.933 
 Percent = 0.2948  Prediction Error = -3.975 
 Percent = 0.2703  Prediction Error = -3.975 
 Percent = 0.2703  Prediction Error = -4.018 
 Percent = 0.2476  Prediction Error = -4.018 
 Percent = 0.2476  Prediction Error = -4.061 
 Percent = 0.2266  Prediction Error = -4.061 
 Percent = 0.2266  Prediction Error = -4.103 
 Percent = 0.2072  Prediction Error = -4.103 
 Percent = 0.2072  Prediction Error = -4.146 
 Percent = 0.1893  Prediction Error = 3 
 Percent = 2.6667  Prediction Error = 3 
 Percent = 2.6667  Prediction Error = 2.4 
 Percent = 4.4444  Prediction Error = 2.4 
 Percent = 4.4444  Prediction Error = 1.8 
 Percent = 14.667  Prediction Error = 1.8 
 Percent = 14.667  Prediction Error = 1.2 
 Percent = 11.111  Prediction Error = 1.2 
 Percent = 11.111  Prediction Error = 0.6 
 Percent = 6.2222  Prediction Error = 0.6 
 Percent = 6.2222  Prediction Error = 0 
 Percent = 15.111  Prediction Error = 0 
 Percent = 15.111  Prediction Error = -0.6 
 Percent = 14.667  Prediction Error = -0.6 
 Percent = 14.667  Prediction Error = -1.2 
 Percent = 21.333  Prediction Error = -1.2 
 Percent = 21.333  Prediction Error = -1.8 
 Percent = 6.6667  Prediction Error = -1.8 
 Percent = 6.6667  Prediction Error = -2.4 
 Percent = 1.3333  Prediction Error = -2.4 
 Percent = 1.3333  Prediction Error = -3 
 Percent = 1.7778  Prediction Error = -3 
 Percent = 1.7778  Quantile = 2.7733 
 Residual = 3.0005  Quantile = 2.4464 
 Residual = 3.0002  Quantile = 2.2684 
 Residual = 3  Quantile = 2.1421 
 Residual = 2.8032  Quantile = 2.0429 
 Residual = 2.7498  Quantile = 1.9604 
 Residual = 2.7459  Quantile = 1.8895 
 Residual = 2.5565  Quantile = 1.827 
 Residual = 2.4995  Quantile = 1.7709 
 Residual = 2.3418  Quantile = 1.7198 
 Residual = 2.3314  Quantile = 1.6729 
 Residual = 2.3014  Quantile = 1.6294 
 Residual = 2.2856  Quantile = 1.5888 
 Residual = 2.1507  Quantile = 1.5507 
 Residual = 2.1268  Quantile = 1.5147 
 Residual = 2.1033  Quantile = 1.4805 
 Residual = 2.101  Quantile = 1.448 
 Residual = 2.0845  Quantile = 1.417 
 Residual = 2.0095  Quantile = 1.3872 
 Residual = 2.0061  Quantile = 1.3587 
 Residual = 2.0014  Quantile = 1.3312 
 Residual = 2.0014  Quantile = 1.3047 
 Residual = 2.0008  Quantile = 1.279 
 Residual = 1.9996  Quantile = 1.2542 
 Residual = 1.9972  Quantile = 1.2301 
 Residual = 1.9936  Quantile = 1.2068 
 Residual = 1.9935  Quantile = 1.184 
 Residual = 1.9802  Quantile = 1.1619 
 Residual = 1.9719  Quantile = 1.1403 
 Residual = 1.9714  Quantile = 1.1192 
 Residual = 1.9698  Quantile = 1.0987 
 Residual = 1.9268  Quantile = 1.0785 
 Residual = 1.8779  Quantile = 1.0588 
 Residual = 1.8752  Quantile = 1.0395 
 Residual = 1.8568  Quantile = 1.0206 
 Residual = 1.825  Quantile = 1.0021 
 Residual = 1.7948  Quantile = 0.9838 
 Residual = 1.7872  Quantile = 0.9659 
 Residual = 1.7542  Quantile = 0.9483 
 Residual = 1.7455  Quantile = 0.931 
 Residual = 1.7434  Quantile = 0.914 
 Residual = 1.743  Quantile = 0.8972 
 Residual = 1.7379  Quantile = 0.8807 
 Residual = 1.6871  Quantile = 0.8644 
 Residual = 1.6487  Quantile = 0.8484 
 Residual = 1.6456  Quantile = 0.8325 
 Residual = 1.6311  Quantile = 0.8169 
 Residual = 1.5824  Quantile = 0.8015 
 Residual = 1.5322  Quantile = 0.7862 
 Residual = 1.53  Quantile = 0.7711 
 Residual = 1.4992  Quantile = 0.7562 
 Residual = 1.4975  Quantile = 0.7415 
 Residual = 1.4899  Quantile = 0.7269 
 Residual = 1.4118  Quantile = 0.7125 
 Residual = 1.4008  Quantile = 0.6983 
 Residual = 1.4007  Quantile = 0.6841 
 Residual = 1.3628  Quantile = 0.6701 
 Residual = 1.3314  Quantile = 0.6563 
 Residual = 1.25  Quantile = 0.6425 
 Residual = 1.2031  Quantile = 0.6289 
 Residual = 1.1956  Quantile = 0.6154 
 Residual = 1.1662  Quantile = 0.602 
 Residual = 1.1413  Quantile = 0.5887 
 Residual = 1.1269  Quantile = 0.5755 
 Residual = 1.1067  Quantile = 0.5625 
 Residual = 1.1047  Quantile = 0.5495 
 Residual = 1.0453  Quantile = 0.5366 
 Residual = 1.0069  Quantile = 0.5238 
 Residual = 1.0023  Quantile = 0.511 
 Residual = 1.0019  Quantile = 0.4984 
 Residual = 1.0013  Quantile = 0.4858 
 Residual = 1.0002  Quantile = 0.4734 
 Residual = 1  Quantile = 0.4609 
 Residual = 0.999  Quantile = 0.4486 
 Residual = 0.9986  Quantile = 0.4363 
 Residual = 0.8566  Quantile = 0.4241 
 Residual = 0.8551  Quantile = 0.412 
 Residual = 0.8109  Quantile = 0.3999 
 Residual = 0.8023  Quantile = 0.3879 
 Residual = 0.8019  Quantile = 0.3759 
 Residual = 0.7497  Quantile = 0.364 
 Residual = 0.7074  Quantile = 0.3521 
 Residual = 0.6084  Quantile = 0.3403 
 Residual = 0.6012  Quantile = 0.3285 
 Residual = 0.4516  Quantile = 0.3168 
 Residual = 0.3577  Quantile = 0.3051 
 Residual = 0.3378  Quantile = 0.2935 
 Residual = 0.3323  Quantile = 0.2819 
 Residual = 0.3321  Quantile = 0.2703 
 Residual = 0.2939  Quantile = 0.2588 
 Residual = 0.2576  Quantile = 0.2473 
 Residual = 0.2554  Quantile = 0.2359 
 Residual = 0.2294  Quantile = 0.2244 
 Residual = 0.1982  Quantile = 0.213 
 Residual = 0.1421  Quantile = 0.2017 
 Residual = 0.1147  Quantile = 0.1903 
 Residual = 0.1103  Quantile = 0.179 
 Residual = 0.0119  Quantile = 0.1677 
 Residual = 0.0107  Quantile = 0.1564 
 Residual = 0.0012  Quantile = 0.1452 
 Residual = 0.001  Quantile = 0.1339 
 Residual = .00086  Quantile = 0.1227 
 Residual = .00073  Quantile = 0.1115 
 Residual = .00031  Quantile = 0.1003 
 Residual = -52E-6  Quantile = 0.0891 
 Residual = -16E-5  Quantile = 0.078 
 Residual = -0.03  Quantile = 0.0668 
 Residual = -0.077  Quantile = 0.0557 
 Residual = -0.083  Quantile = 0.0445 
 Residual = -0.098  Quantile = 0.0334 
 Residual = -0.104  Quantile = 0.0223 
 Residual = -0.143  Quantile = 0.0111 
 Residual = -0.144  Quantile = 0 
 Residual = -0.149  Quantile = -0.011 
 Residual = -0.16  Quantile = -0.022 
 Residual = -0.168  Quantile = -0.033 
 Residual = -0.184  Quantile = -0.045 
 Residual = -0.214  Quantile = -0.056 
 Residual = -0.233  Quantile = -0.067 
 Residual = -0.238  Quantile = -0.078 
 Residual = -0.251  Quantile = -0.089 
 Residual = -0.275  Quantile = -0.1 
 Residual = -0.295  Quantile = -0.112 
 Residual = -0.317  Quantile = -0.123 
 Residual = -0.332  Quantile = -0.134 
 Residual = -0.333  Quantile = -0.145 
 Residual = -0.335  Quantile = -0.156 
 Residual = -0.341  Quantile = -0.168 
 Residual = -0.345  Quantile = -0.179 
 Residual = -0.381  Quantile = -0.19 
 Residual = -0.392  Quantile = -0.202 
 Residual = -0.397  Quantile = -0.213 
 Residual = -0.419  Quantile = -0.224 
 Residual = -0.428  Quantile = -0.236 
 Residual = -0.477  Quantile = -0.247 
 Residual = -0.494  Quantile = -0.259 
 Residual = -0.499  Quantile = -0.27 
 Residual = -0.5  Quantile = -0.282 
 Residual = -0.5  Quantile = -0.293 
 Residual = -0.502  Quantile = -0.305 
 Residual = -0.564  Quantile = -0.317 
 Residual = -0.572  Quantile = -0.329 
 Residual = -0.624  Quantile = -0.34 
 Residual = -0.657  Quantile = -0.352 
 Residual = -0.669  Quantile = -0.364 
 Residual = -0.69  Quantile = -0.376 
 Residual = -0.705  Quantile = -0.388 
 Residual = -0.715  Quantile = -0.4 
 Residual = -0.72  Quantile = -0.412 
 Residual = -0.721  Quantile = -0.424 
 Residual = -0.726  Quantile = -0.436 
 Residual = -0.788  Quantile = -0.449 
 Residual = -0.795  Quantile = -0.461 
 Residual = -0.797  Quantile = -0.473 
 Residual = -0.808  Quantile = -0.486 
 Residual = -0.836  Quantile = -0.498 
 Residual = -0.902  Quantile = -0.511 
 Residual = -0.985  Quantile = -0.524 
 Residual = -0.992  Quantile = -0.537 
 Residual = -0.994  Quantile = -0.549 
 Residual = -0.994  Quantile = -0.562 
 Residual = -0.996  Quantile = -0.576 
 Residual = -0.997  Quantile = -0.589 
 Residual = -1.003  Quantile = -0.602 
 Residual = -1.049  Quantile = -0.615 
 Residual = -1.065  Quantile = -0.629 
 Residual = -1.076  Quantile = -0.643 
 Residual = -1.079  Quantile = -0.656 
 Residual = -1.085  Quantile = -0.67 
 Residual = -1.095  Quantile = -0.684 
 Residual = -1.11  Quantile = -0.698 
 Residual = -1.119  Quantile = -0.713 
 Residual = -1.121  Quantile = -0.727 
 Residual = -1.136  Quantile = -0.742 
 Residual = -1.147  Quantile = -0.756 
 Residual = -1.16  Quantile = -0.771 
 Residual = -1.168  Quantile = -0.786 
 Residual = -1.168  Quantile = -0.801 
 Residual = -1.183  Quantile = -0.817 
 Residual = -1.192  Quantile = -0.833 
 Residual = -1.226  Quantile = -0.848 
 Residual = -1.237  Quantile = -0.864 
 Residual = -1.248  Quantile = -0.881 
 Residual = -1.251  Quantile = -0.897 
 Residual = -1.26  Quantile = -0.914 
 Residual = -1.283  Quantile = -0.931 
 Residual = -1.284  Quantile = -0.948 
 Residual = -1.286  Quantile = -0.966 
 Residual = -1.298  Quantile = -0.984 
 Residual = -1.337  Quantile = -1.002 
 Residual = -1.339  Quantile = -1.021 
 Residual = -1.339  Quantile = -1.04 
 Residual = -1.34  Quantile = -1.059 
 Residual = -1.366  Quantile = -1.079 
 Residual = -1.378  Quantile = -1.099 
 Residual = -1.392  Quantile = -1.119 
 Residual = -1.406  Quantile = -1.14 
 Residual = -1.427  Quantile = -1.162 
 Residual = -1.442  Quantile = -1.184 
 Residual = -1.443  Quantile = -1.207 
 Residual = -1.452  Quantile = -1.23 
 Residual = -1.498  Quantile = -1.254 
 Residual = -1.499  Quantile = -1.279 
 Residual = -1.5  Quantile = -1.305 
 Residual = -1.501  Quantile = -1.331 
 Residual = -1.517  Quantile = -1.359 
 Residual = -1.601  Quantile = -1.387 
 Residual = -1.665  Quantile = -1.417 
 Residual = -1.684  Quantile = -1.448 
 Residual = -1.719  Quantile = -1.481 
 Residual = -1.801  Quantile = -1.515 
 Residual = -1.825  Quantile = -1.551 
 Residual = -1.83  Quantile = -1.589 
 Residual = -2  Quantile = -1.629 
 Residual = -2.003  Quantile = -1.673 
 Residual = -2.004  Quantile = -1.72 
 Residual = -2.005  Quantile = -1.771 
 Residual = -2.012  Quantile = -1.827 
 Residual = -2.098  Quantile = -1.89 
 Residual = -2.248  Quantile = -1.96 
 Residual = -2.252  Quantile = -2.043 
 Residual = -2.254  Quantile = -2.142 
 Residual = -3  Quantile = -2.268 
 Residual = -3  Quantile = -2.446 
 Residual = -3  Quantile = -2.773 
 Residual = -3.002  Slope = 1.4047 
 Y = 0.0684  Lag = 24 
 ACF = 0.1059  Lag = 23 
 ACF = -0.005  Lag = 22 
 ACF = 0.1082  Lag = 21 
 ACF = -0.038  Lag = 20 
 ACF = 0.052  Lag = 19 
 ACF = -0.047  Lag = 18 
 ACF = 0.0145  Lag = 17 
 ACF = -0.177  Lag = 16 
 ACF = -0.06  Lag = 15 
 ACF = -0.074  Lag = 14 
 ACF = 0.066  Lag = 13 
 ACF = -0.075  Lag = 12 
 ACF = -0.025  Lag = 11 
 ACF = 0.0264  Lag = 10 
 ACF = -0.002  Lag = 9 
 ACF = -0.137  Lag = 8 
 ACF = 0.0141  Lag = 7 
 ACF = 0.0249  Lag = 6 
 ACF = 0.0553  Lag = 5 
 ACF = -0.02  Lag = 4 
 ACF = 0.043  Lag = 3 
 ACF = -0.056  Lag = 2 
 ACF = -0.045  Lag = 1 
 ACF = 0.0653  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.147 
 Upper = 0.1466  Lag = 23 
 Lower = -0.147 
 Upper = 0.1466  Lag = 23 
 Lower = -0.147 
 Upper = 0.1466  Lag = 22 
 Lower = -0.145 
 Upper = 0.1452  Lag = 22 
 Lower = -0.145 
 Upper = 0.1452  Lag = 21 
 Lower = -0.145 
 Upper = 0.145  Lag = 21 
 Lower = -0.145 
 Upper = 0.145  Lag = 20 
 Lower = -0.145 
 Upper = 0.1447  Lag = 20 
 Lower = -0.145 
 Upper = 0.1447  Lag = 19 
 Lower = -0.144 
 Upper = 0.1444  Lag = 19 
 Lower = -0.144 
 Upper = 0.1444  Lag = 18 
 Lower = -0.144 
 Upper = 0.1444  Lag = 18 
 Lower = -0.144 
 Upper = 0.1444  Lag = 17 
 Lower = -0.14 
 Upper = 0.1404  Lag = 17 
 Lower = -0.14 
 Upper = 0.1404  Lag = 16 
 Lower = -0.14 
 Upper = 0.14  Lag = 16 
 Lower = -0.14 
 Upper = 0.14  Lag = 15 
 Lower = -0.139 
 Upper = 0.1393  Lag = 15 
 Lower = -0.139 
 Upper = 0.1393  Lag = 14 
 Lower = -0.139 
 Upper = 0.1387  Lag = 14 
 Lower = -0.139 
 Upper = 0.1387  Lag = 13 
 Lower = -0.138 
 Upper = 0.138  Lag = 13 
 Lower = -0.138 
 Upper = 0.138  Lag = 12 
 Lower = -0.138 
 Upper = 0.1379  Lag = 12 
 Lower = -0.138 
 Upper = 0.1379  Lag = 11 
 Lower = -0.138 
 Upper = 0.1378  Lag = 11 
 Lower = -0.138 
 Upper = 0.1378  Lag = 10 
 Lower = -0.138 
 Upper = 0.1378  Lag = 10 
 Lower = -0.138 
 Upper = 0.1378  Lag = 9 
 Lower = -0.135 
 Upper = 0.1354  Lag = 9 
 Lower = -0.135 
 Upper = 0.1354  Lag = 8 
 Lower = -0.135 
 Upper = 0.1354  Lag = 8 
 Lower = -0.135 
 Upper = 0.1354  Lag = 7 
 Lower = -0.135 
 Upper = 0.1353  Lag = 7 
 Lower = -0.135 
 Upper = 0.1353  Lag = 6 
 Lower = -0.135 
 Upper = 0.1349  Lag = 6 
 Lower = -0.135 
 Upper = 0.1349  Lag = 5 
 Lower = -0.135 
 Upper = 0.1348  Lag = 5 
 Lower = -0.135 
 Upper = 0.1348  Lag = 4 
 Lower = -0.135 
 Upper = 0.1346  Lag = 4 
 Lower = -0.135 
 Upper = 0.1346  Lag = 3 
 Lower = -0.134 
 Upper = 0.1342  Lag = 3 
 Lower = -0.134 
 Upper = 0.1342  Lag = 2 
 Lower = -0.134 
 Upper = 0.1339  Lag = 2 
 Lower = -0.134 
 Upper = 0.1339  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.1086  Lag = 23 
 PACF = 0.0228  Lag = 22 
 PACF = 0.1049  Lag = 21 
 PACF = -0.045  Lag = 20 
 PACF = 0.0501  Lag = 19 
 PACF = -0.057  Lag = 18 
 PACF = 0.0041  Lag = 17 
 PACF = -0.171  Lag = 16 
 PACF = -0.044  Lag = 15 
 PACF = -0.084  Lag = 14 
 PACF = 0.0684  Lag = 13 
 PACF = -0.058  Lag = 12 
 PACF = -0.047  Lag = 11 
 PACF = 0.0166  Lag = 10 
 PACF = 0.0142  Lag = 9 
 PACF = -0.13  Lag = 8 
 PACF = 0.0112  Lag = 7 
 PACF = 0.0199  Lag = 6 
 PACF = 0.0607  Lag = 5 
 PACF = -0.032  Lag = 4 
 PACF = 0.0483  Lag = 3 
 PACF = -0.05  Lag = 2 
 PACF = -0.049  Lag = 1 
 PACF = 0.0653  Lag = 24 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 23 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 22 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 21 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 20 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 19 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 18 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 17 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 16 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 15 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 14 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 13 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 12 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 11 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 10 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 9 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 8 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 7 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 6 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 5 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 4 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 3 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 2 
 Lower = -0.133 
 Upper = 0.1333  Lag = 1 
 Lower = -0.133 
 Upper = 0.1333
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = 0.0428  Date_of_death = Jul2019 
 Loess Fit = 0.046  Date_of_death = Jul2019 
 Loess Fit = 0.046  Date_of_death = Jun2019 
 Loess Fit = 0.0492  Date_of_death = Jun2019 
 Loess Fit = 0.0492  Date_of_death = May2019 
 Loess Fit = 0.0524  Date_of_death = May2019 
 Loess Fit = 0.0524  Date_of_death = Apr2019 
 Loess Fit = 0.0556  Date_of_death = Apr2019 
 Loess Fit = 0.0556  Date_of_death = Mar2019 
 Loess Fit = 0.0588  Date_of_death = Mar2019 
 Loess Fit = 0.0588  Date_of_death = Feb2019 
 Loess Fit = 0.062  Date_of_death = Feb2019 
 Loess Fit = 0.062  Date_of_death = Jan2019 
 Loess Fit = 0.0652  Date_of_death = Jan2019 
 Loess Fit = 0.0652  Date_of_death = Dec2018 
 Loess Fit = 0.0684  Date_of_death = Dec2018 
 Loess Fit = 0.0684  Date_of_death = Oct2018 
 Loess Fit = 0.0716  Date_of_death = Oct2018 
 Loess Fit = 0.0716  Date_of_death = Sep2018 
 Loess Fit = 0.0748  Date_of_death = Sep2018 
 Loess Fit = 0.0748  Date_of_death = Aug2018 
 Loess Fit = 0.078  Date_of_death = Aug2018 
 Loess Fit = 0.078  Date_of_death = Jul2018 
 Loess Fit = 0.0812  Date_of_death = Jul2018 
 Loess Fit = 0.0812  Date_of_death = Jun2018 
 Loess Fit = 0.0845  Date_of_death = Jun2018 
 Loess Fit = 0.0845  Date_of_death = May2018 
 Loess Fit = 0.0877  Date_of_death = May2018 
 Loess Fit = 0.0877  Date_of_death = Apr2018 
 Loess Fit = 0.0909  Date_of_death = Apr2018 
 Loess Fit = 0.0909  Date_of_death = Mar2018 
 Loess Fit = 0.0941  Date_of_death = Mar2018 
 Loess Fit = 0.0941  Date_of_death = Jan2018 
 Loess Fit = 0.0973  Date_of_death = Jan2018 
 Loess Fit = 0.0973  Date_of_death = Dec2017 
 Loess Fit = 0.1005  Date_of_death = Dec2017 
 Loess Fit = 0.1005  Date_of_death = Nov2017 
 Loess Fit = 0.1037  Date_of_death = Nov2017 
 Loess Fit = 0.1037  Date_of_death = Oct2017 
 Loess Fit = 0.1069  Date_of_death = Oct2017 
 Loess Fit = 0.1069  Date_of_death = Sep2017 
 Loess Fit = 0.1101  Date_of_death = Sep2017 
 Loess Fit = 0.1101  Date_of_death = Aug2017 
 Loess Fit = 0.1133  Date_of_death = Aug2017 
 Loess Fit = 0.1133  Date_of_death = Jul2017 
 Loess Fit = 0.1165  Date_of_death = Jul2017 
 Loess Fit = 0.1165  Date_of_death = Jun2017 
 Loess Fit = 0.1197  Date_of_death = Jun2017 
 Loess Fit = 0.1197  Date_of_death = May2017 
 Loess Fit = 0.1229  Date_of_death = May2017 
 Loess Fit = 0.1229  Date_of_death = Mar2017 
 Loess Fit = 0.1253  Date_of_death = Mar2017 
 Loess Fit = 0.1253  Date_of_death = Feb2017 
 Loess Fit = 0.1276  Date_of_death = Feb2017 
 Loess Fit = 0.1276  Date_of_death = Jan2017 
 Loess Fit = 0.1299  Date_of_death = Jan2017 
 Loess Fit = 0.1299  Date_of_death = Dec2016 
 Loess Fit = 0.1322  Date_of_death = Dec2016 
 Loess Fit = 0.1322  Date_of_death = Nov2016 
 Loess Fit = 0.1346  Date_of_death = Nov2016 
 Loess Fit = 0.1346  Date_of_death = Oct2016 
 Loess Fit = 0.1369  Date_of_death = Oct2016 
 Loess Fit = 0.1369  Date_of_death = Sep2016 
 Loess Fit = 0.1392  Date_of_death = Sep2016 
 Loess Fit = 0.1392  Date_of_death = Aug2016 
 Loess Fit = 0.1415  Date_of_death = Aug2016 
 Loess Fit = 0.1415  Date_of_death = Jun2016 
 Loess Fit = 0.1438  Date_of_death = Jun2016 
 Loess Fit = 0.1438  Date_of_death = May2016 
 Loess Fit = 0.1462  Date_of_death = May2016 
 Loess Fit = 0.1462  Date_of_death = Apr2016 
 Loess Fit = 0.1485  Date_of_death = Apr2016 
 Loess Fit = 0.1485  Date_of_death = Mar2016 
 Loess Fit = 0.1508  Date_of_death = Mar2016 
 Loess Fit = 0.1508  Date_of_death = Feb2016 
 Loess Fit = 0.1531  Date_of_death = Feb2016 
 Loess Fit = 0.1531  Date_of_death = Jan2016 
 Loess Fit = 0.1554  Date_of_death = Jan2016 
 Loess Fit = 0.1554  Date_of_death = Dec2015 
 Loess Fit = 0.1577  Date_of_death = Dec2015 
 Loess Fit = 0.1577  Date_of_death = Nov2015 
 Loess Fit = 0.1601  Date_of_death = Nov2015 
 Loess Fit = 0.1601  Date_of_death = Sep2015 
 Loess Fit = 0.1624  Date_of_death = Sep2015 
 Loess Fit = 0.1624  Date_of_death = Aug2015 
 Loess Fit = 0.1647  Date_of_death = Aug2015 
 Loess Fit = 0.1647  Date_of_death = Jul2015 
 Loess Fit = 0.167  Date_of_death = Jul2015 
 Loess Fit = 0.167  Date_of_death = Jun2015 
 Loess Fit = 0.1693  Date_of_death = Jun2015 
 Loess Fit = 0.1693  Date_of_death = May2015 
 Loess Fit = 0.1717  Date_of_death = May2015 
 Loess Fit = 0.1717  Date_of_death = Apr2015 
 Loess Fit = 0.174  Date_of_death = Apr2015 
 Loess Fit = 0.174  Date_of_death = Mar2015 
 Loess Fit = 0.1763  Date_of_death = Mar2015 
 Loess Fit = 0.1763  Date_of_death = Feb2015 
 Loess Fit = 0.1786  Date_of_death = Feb2015 
 Loess Fit = 0.1786  Date_of_death = Dec2014 
 Loess Fit = 0.1809  Date_of_death = Dec2014 
 Loess Fit = 0.1809  Date_of_death = Nov2014 
 Loess Fit = 0.181  Date_of_death = Nov2014 
 Loess Fit = 0.181  Date_of_death = Oct2014 
 Loess Fit = 0.181  Date_of_death = Oct2014 
 Loess Fit = 0.181  Date_of_death = Sep2014 
 Loess Fit = 0.181  Date_of_death = Sep2014 
 Loess Fit = 0.181  Date_of_death = Aug2014 
 Loess Fit = 0.1811  Date_of_death = Aug2014 
 Loess Fit = 0.1811  Date_of_death = Jul2014 
 Loess Fit = 0.1811  Date_of_death = Jul2014 
 Loess Fit = 0.1811  Date_of_death = Jun2014 
 Loess Fit = 0.1811  Date_of_death = Jun2014 
 Loess Fit = 0.1811  Date_of_death = May2014 
 Loess Fit = 0.1812  Date_of_death = May2014 
 Loess Fit = 0.1812  Date_of_death = Apr2014 
 Loess Fit = 0.1812  Date_of_death = Apr2014 
 Loess Fit = 0.1812  Date_of_death = Feb2014 
 Loess Fit = 0.1812  Date_of_death = Feb2014 
 Loess Fit = 0.1812  Date_of_death = Jan2014 
 Loess Fit = 0.1813  Date_of_death = Jan2014 
 Loess Fit = 0.1813  Date_of_death = Dec2013 
 Loess Fit = 0.1813  Date_of_death = Dec2013 
 Loess Fit = 0.1813  Date_of_death = Nov2013 
 Loess Fit = 0.1814  Date_of_death = Nov2013 
 Loess Fit = 0.1814  Date_of_death = Oct2013 
 Loess Fit = 0.1814  Date_of_death = Oct2013 
 Loess Fit = 0.1814  Date_of_death = Sep2013 
 Loess Fit = 0.1814  Date_of_death = Sep2013 
 Loess Fit = 0.1814  Date_of_death = Aug2013 
 Loess Fit = 0.1815  Date_of_death = Aug2013 
 Loess Fit = 0.1815  Date_of_death = Jul2013 
 Loess Fit = 0.1815  Date_of_death = Jul2013 
 Loess Fit = 0.1815  Date_of_death = May2013 
 Loess Fit = 0.1815  Date_of_death = May2013 
 Loess Fit = 0.1815  Date_of_death = Apr2013 
 Loess Fit = 0.1816  Date_of_death = Apr2013 
 Loess Fit = 0.1816  Date_of_death = Mar2013 
 Loess Fit = 0.1816  Date_of_death = Mar2013 
 Loess Fit = 0.1816  Date_of_death = Feb2013 
 Loess Fit = 0.1816  Date_of_death = Feb2013 
 Loess Fit = 0.1816  Date_of_death = Jan2013 
 Loess Fit = 0.1817  Date_of_death = Jan2013 
 Loess Fit = 0.1817  Date_of_death = Dec2012 
 Loess Fit = 0.1817  Date_of_death = Dec2012 
 Loess Fit = 0.1817  Date_of_death = Nov2012 
 Loess Fit = 0.1817  Date_of_death = Nov2012 
 Loess Fit = 0.1817  Date_of_death = Oct2012 
 Loess Fit = 0.1818  Date_of_death = Oct2012 
 Loess Fit = 0.1818  Date_of_death = Aug2012 
 Loess Fit = 0.1818  Date_of_death = Aug2012 
 Loess Fit = 0.1818  Date_of_death = Jul2012 
 Loess Fit = 0.1763  Date_of_death = Jul2012 
 Loess Fit = 0.1763  Date_of_death = Jun2012 
 Loess Fit = 0.1709  Date_of_death = Jun2012 
 Loess Fit = 0.1709  Date_of_death = May2012 
 Loess Fit = 0.1655  Date_of_death = May2012 
 Loess Fit = 0.1655  Date_of_death = Apr2012 
 Loess Fit = 0.1601  Date_of_death = Apr2012 
 Loess Fit = 0.1601  Date_of_death = Mar2012 
 Loess Fit = 0.1547  Date_of_death = Mar2012 
 Loess Fit = 0.1547  Date_of_death = Feb2012 
 Loess Fit = 0.1492  Date_of_death = Feb2012 
 Loess Fit = 0.1492  Date_of_death = Jan2012 
 Loess Fit = 0.1438  Date_of_death = Jan2012 
 Loess Fit = 0.1438  Date_of_death = Dec2011 
 Loess Fit = 0.1384  Date_of_death = Dec2011 
 Loess Fit = 0.1384  Date_of_death = Oct2011 
 Loess Fit = 0.133  Date_of_death = Oct2011 
 Loess Fit = 0.133  Date_of_death = Sep2011 
 Loess Fit = 0.1276  Date_of_death = Sep2011 
 Loess Fit = 0.1276  Date_of_death = Aug2011 
 Loess Fit = 0.1221  Date_of_death = Aug2011 
 Loess Fit = 0.1221  Date_of_death = Jul2011 
 Loess Fit = 0.1167  Date_of_death = Jul2011 
 Loess Fit = 0.1167  Date_of_death = Jun2011 
 Loess Fit = 0.1113  Date_of_death = Jun2011 
 Loess Fit = 0.1113  Date_of_death = May2011 
 Loess Fit = 0.1059  Date_of_death = May2011 
 Loess Fit = 0.1059  Date_of_death = Apr2011 
 Loess Fit = 0.1005  Date_of_death = Apr2011 
 Loess Fit = 0.1005  Date_of_death = Mar2011 
 Loess Fit = 0.095  Date_of_death = Mar2011 
 Loess Fit = 0.095  Date_of_death = Jan2011 
 Loess Fit = 0.0896  Date_of_death = Jan2011 
 Loess Fit = 0.0896  Date_of_death = Dec2010 
 Loess Fit = 0.0842  Date_of_death = Dec2010 
 Loess Fit = 0.0842  Date_of_death = Nov2010 
 Loess Fit = 0.0788  Date_of_death = Nov2010 
 Loess Fit = 0.0788  Date_of_death = Oct2010 
 Loess Fit = 0.0733  Date_of_death = Oct2010 
 Loess Fit = 0.0733  Date_of_death = Sep2010 
 Loess Fit = 0.0679  Date_of_death = Sep2010 
 Loess Fit = 0.0679  Date_of_death = Aug2010 
 Loess Fit = 0.0625  Date_of_death = Aug2010 
 Loess Fit = 0.0625  Date_of_death = Jul2010 
 Loess Fit = 0.0571  Date_of_death = Jul2010 
 Loess Fit = 0.0571  Date_of_death = Jun2010 
 Loess Fit = 0.0517  Date_of_death = Jun2010 
 Loess Fit = 0.0517  Date_of_death = May2010 
 Loess Fit = 0.0462  Date_of_death = May2010 
 Loess Fit = 0.0462  Date_of_death = Mar2010 
 Loess Fit = 0.0412  Date_of_death = Mar2010 
 Loess Fit = 0.0412  Date_of_death = Feb2010 
 Loess Fit = 0.0363  Date_of_death = Feb2010 
 Loess Fit = 0.0363  Date_of_death = Jan2010 
 Loess Fit = 0.0313  Date_of_death = Jan2010 
 Loess Fit = 0.0313  Date_of_death = Dec2009 
 Loess Fit = 0.0263  Date_of_death = Dec2009 
 Loess Fit = 0.0263  Date_of_death = Nov2009 
 Loess Fit = 0.0213  Date_of_death = Nov2009 
 Loess Fit = 0.0213  Date_of_death = Oct2009 
 Loess Fit = 0.0163  Date_of_death = Oct2009 
 Loess Fit = 0.0163  Date_of_death = Sep2009 
 Loess Fit = 0.0113  Date_of_death = Sep2009 
 Loess Fit = 0.0113  Date_of_death = Aug2009 
 Loess Fit = 0.0063  Date_of_death = Aug2009 
 Loess Fit = 0.0063  Date_of_death = Jun2009 
 Loess Fit = 0.0013  Date_of_death = Jun2009 
 Loess Fit = 0.0013  Date_of_death = May2009 
 Loess Fit = -0.004  Date_of_death = May2009 
 Loess Fit = -0.004  Date_of_death = Apr2009 
 Loess Fit = -0.009  Date_of_death = Apr2009 
 Loess Fit = -0.009  Date_of_death = Mar2009 
 Loess Fit = -0.014  Date_of_death = Mar2009 
 Loess Fit = -0.014  Date_of_death = Feb2009 
 Loess Fit = -0.019  Date_of_death = Feb2009 
 Loess Fit = -0.019  Date_of_death = Jan2009 
 Loess Fit = -0.024  Date_of_death = Jan2009 
 Loess Fit = -0.024  Date_of_death = Dec2008 
 Loess Fit = -0.029  Date_of_death = Dec2008 
 Loess Fit = -0.029  Date_of_death = Nov2008 
 Loess Fit = -0.034  Date_of_death = Nov2008 
 Loess Fit = -0.034  Date_of_death = Sep2008 
 Loess Fit = -0.039  Date_of_death = Sep2008 
 Loess Fit = -0.039  Date_of_death = Aug2008 
 Loess Fit = -0.044  Date_of_death = Aug2008 
 Loess Fit = -0.044  Date_of_death = Jul2008 
 Loess Fit = -0.049  Date_of_death = Jul2008 
 Loess Fit = -0.049  Date_of_death = Jun2008 
 Loess Fit = -0.054  Date_of_death = Jun2008 
 Loess Fit = -0.054  Date_of_death = May2008 
 Loess Fit = -0.059  Date_of_death = May2008 
 Loess Fit = -0.059  Date_of_death = Apr2008 
 Loess Fit = -0.064  Date_of_death = Apr2008 
 Loess Fit = -0.064  Date_of_death = Mar2008 
 Loess Fit = -0.069  Date_of_death = Mar2008 
 Loess Fit = -0.069  Date_of_death = Feb2008 
 Loess Fit = -0.074  Date_of_death = Feb2008 
 Loess Fit = -0.074  Date_of_death = Jan2008 
 Loess Fit = -0.078  Date_of_death = Jan2008 
 Loess Fit = -0.078  Date_of_death = Nov2007 
 Loess Fit = -0.078  Date_of_death = Nov2007 
 Loess Fit = -0.078  Date_of_death = Oct2007 
 Loess Fit = -0.077  Date_of_death = Oct2007 
 Loess Fit = -0.077  Date_of_death = Sep2007 
 Loess Fit = -0.077  Date_of_death = Sep2007 
 Loess Fit = -0.077  Date_of_death = Aug2007 
 Loess Fit = -0.076  Date_of_death = Aug2007 
 Loess Fit = -0.076  Date_of_death = Jul2007 
 Loess Fit = -0.075  Date_of_death = Jul2007 
 Loess Fit = -0.075  Date_of_death = Jun2007 
 Loess Fit = -0.075  Date_of_death = Jun2007 
 Loess Fit = -0.075  Date_of_death = May2007 
 Loess Fit = -0.074  Date_of_death = May2007 
 Loess Fit = -0.074  Date_of_death = Apr2007 
 Loess Fit = -0.073  Date_of_death = Apr2007 
 Loess Fit = -0.073  Date_of_death = Feb2007 
 Loess Fit = -0.073  Date_of_death = Feb2007 
 Loess Fit = -0.073  Date_of_death = Jan2007 
 Loess Fit = -0.072  Date_of_death = Jan2007 
 Loess Fit = -0.072  Date_of_death = Dec2006 
 Loess Fit = -0.072  Date_of_death = Dec2006 
 Loess Fit = -0.072  Date_of_death = Nov2006 
 Loess Fit = -0.071  Date_of_death = Nov2006 
 Loess Fit = -0.071  Date_of_death = Oct2006 
 Loess Fit = -0.07  Date_of_death = Oct2006 
 Loess Fit = -0.07  Date_of_death = Sep2006 
 Loess Fit = -0.07  Date_of_death = Sep2006 
 Loess Fit = -0.07  Date_of_death = Aug2006 
 Loess Fit = -0.069  Date_of_death = Aug2006 
 Loess Fit = -0.069  Date_of_death = Jul2006 
 Loess Fit = -0.068  Date_of_death = Jul2006 
 Loess Fit = -0.068  Date_of_death = May2006 
 Loess Fit = -0.068  Date_of_death = May2006 
 Loess Fit = -0.068  Date_of_death = Apr2006 
 Loess Fit = -0.067  Date_of_death = Apr2006 
 Loess Fit = -0.067  Date_of_death = Mar2006 
 Loess Fit = -0.066  Date_of_death = Mar2006 
 Loess Fit = -0.066  Date_of_death = Feb2006 
 Loess Fit = -0.066  Date_of_death = Feb2006 
 Loess Fit = -0.066  Date_of_death = Jan2006 
 Loess Fit = -0.065  Date_of_death = Jan2006 
 Loess Fit = -0.065  Date_of_death = Dec2005 
 Loess Fit = -0.065  Date_of_death = Dec2005 
 Loess Fit = -0.065  Date_of_death = Nov2005 
 Loess Fit = -0.064  Date_of_death = Nov2005 
 Loess Fit = -0.064  Date_of_death = Oct2005 
 Loess Fit = -0.063  Date_of_death = Oct2005 
 Loess Fit = -0.063  Date_of_death = Sep2005 
 Loess Fit = -0.063  Date_of_death = Sep2005 
 Loess Fit = -0.063  Date_of_death = Jul2005 
 Loess Fit = -0.057  Date_of_death = Jul2005 
 Loess Fit = -0.057  Date_of_death = Jun2005 
 Loess Fit = -0.052  Date_of_death = Jun2005 
 Loess Fit = -0.052  Date_of_death = May2005 
 Loess Fit = -0.047  Date_of_death = May2005 
 Loess Fit = -0.047  Date_of_death = Apr2005 
 Loess Fit = -0.041  Date_of_death = Apr2005 
 Loess Fit = -0.041  Date_of_death = Mar2005 
 Loess Fit = -0.036  Date_of_death = Mar2005 
 Loess Fit = -0.036  Date_of_death = Feb2005 
 Loess Fit = -0.031  Date_of_death = Feb2005 
 Loess Fit = -0.031  Date_of_death = Jan2005 
 Loess Fit = -0.025  Date_of_death = Jan2005 
 Loess Fit = -0.025  Date_of_death = Dec2004 
 Loess Fit = -0.02  Date_of_death = Dec2004 
 Loess Fit = -0.02  Date_of_death = Oct2004 
 Loess Fit = -0.015  Date_of_death = Oct2004 
 Loess Fit = -0.015  Date_of_death = Sep2004 
 Loess Fit = -0.009  Date_of_death = Sep2004 
 Loess Fit = -0.009  Date_of_death = Aug2004 
 Loess Fit = -0.004  Date_of_death = Aug2004 
 Loess Fit = -0.004  Date_of_death = Jul2004 
 Loess Fit = 0.0015  Date_of_death = Jul2004 
 Loess Fit = 0.0015  Date_of_death = Jun2004 
 Loess Fit = 0.0069  Date_of_death = Jun2004 
 Loess Fit = 0.0069  Date_of_death = May2004 
 Loess Fit = 0.0122  Date_of_death = May2004 
 Loess Fit = 0.0122  Date_of_death = Apr2004 
 Loess Fit = 0.0176  Date_of_death = Apr2004 
 Loess Fit = 0.0176  Date_of_death = Mar2004 
 Loess Fit = 0.0229  Date_of_death = Mar2004 
 Loess Fit = 0.0229  Date_of_death = Jan2004 
 Loess Fit = 0.0283  Date_of_death = Jan2004 
 Loess Fit = 0.0283  Date_of_death = Dec2003 
 Loess Fit = 0.0337  Date_of_death = Dec2003 
 Loess Fit = 0.0337  Date_of_death = Nov2003 
 Loess Fit = 0.039  Date_of_death = Nov2003 
 Loess Fit = 0.039  Date_of_death = Oct2003 
 Loess Fit = 0.0444  Date_of_death = Oct2003 
 Loess Fit = 0.0444  Date_of_death = Sep2003 
 Loess Fit = 0.0497  Date_of_death = Sep2003 
 Loess Fit = 0.0497  Date_of_death = Aug2003 
 Loess Fit = 0.0551  Date_of_death = Aug2003 
 Loess Fit = 0.0551  Date_of_death = Jul2003 
 Loess Fit = 0.0604  Date_of_death = Jul2003 
 Loess Fit = 0.0604  Date_of_death = Jun2003 
 Loess Fit = 0.0658  Date_of_death = Jun2003 
 Loess Fit = 0.0658  Date_of_death = May2003 
 Loess Fit = 0.0711  Date_of_death = May2003 
 Loess Fit = 0.0711  Date_of_death = Mar2003 
 Loess Fit = 0.0773  Date_of_death = Mar2003 
 Loess Fit = 0.0773  Date_of_death = Feb2003 
 Loess Fit = 0.0835  Date_of_death = Feb2003 
 Loess Fit = 0.0835  Date_of_death = Jan2003 
 Loess Fit = 0.0897  Date_of_death = Jan2003 
 Loess Fit = 0.0897  Date_of_death = Dec2002 
 Loess Fit = 0.0958  Date_of_death = Dec2002 
 Loess Fit = 0.0958  Date_of_death = Nov2002 
 Loess Fit = 0.102  Date_of_death = Nov2002 
 Loess Fit = 0.102  Date_of_death = Oct2002 
 Loess Fit = 0.1082  Date_of_death = Oct2002 
 Loess Fit = 0.1082  Date_of_death = Sep2002 
 Loess Fit = 0.1144  Date_of_death = Sep2002 
 Loess Fit = 0.1144  Date_of_death = Aug2002 
 Loess Fit = 0.1206  Date_of_death = Aug2002 
 Loess Fit = 0.1206  Date_of_death = Jun2002 
 Loess Fit = 0.1268  Date_of_death = Jun2002 
 Loess Fit = 0.1268  Date_of_death = May2002 
 Loess Fit = 0.133  Date_of_death = May2002 
 Loess Fit = 0.133  Date_of_death = Apr2002 
 Loess Fit = 0.1392  Date_of_death = Apr2002 
 Loess Fit = 0.1392  Date_of_death = Mar2002 
 Loess Fit = 0.1453  Date_of_death = Mar2002 
 Loess Fit = 0.1453  Date_of_death = Feb2002 
 Loess Fit = 0.1515  Date_of_death = Feb2002 
 Loess Fit = 0.1515  Date_of_death = Jan2002 
 Loess Fit = 0.1577  Date_of_death = Jan2002 
 Loess Fit = 0.1577  Date_of_death = Dec2001 
 Loess Fit = 0.1639  Date_of_death = Dec2001 
 Loess Fit = 0.1639  Date_of_death = Nov2001 
 Loess Fit = 0.1701  Date_of_death = Nov2001 
 Loess Fit = 0.1701  Date_of_death = Sep2001 
 Loess Fit = 0.1763  Date_of_death = Sep2001 
 Loess Fit = 0.1763  Date_of_death = Aug2001 
 Loess Fit = 0.1825  Date_of_death = Aug2001 
 Loess Fit = 0.1825  Date_of_death = Jul2001 
 Loess Fit = 0.1887  Date_of_death = Jul2001 
 Loess Fit = 0.1887  Date_of_death = Jun2001 
 Loess Fit = 0.1949  Date_of_death = Jun2001 
 Loess Fit = 0.1949  Date_of_death = May2001 
 Loess Fit = 0.201  Date_of_death = May2001 
 Loess Fit = 0.201  Date_of_death = Apr2001 
 Loess Fit = 0.2072  Date_of_death = Apr2001 
 Loess Fit = 0.2072  Date_of_death = Mar2001 
 Loess Fit = 0.2134  Date_of_death = Mar2001 
 Loess Fit = 0.2134  Date_of_death = Feb2001 
 Loess Fit = 0.2196  Date_of_death = Feb2001 
 Loess Fit = 0.2196  Date_of_death = Jan2001 
 Loess Fit = 0.2258  Date_of_death = Sep2019 
 Prediction Error = 0.0119  Date_of_death = Aug2019 
 Prediction Error = 0.6012  Date_of_death = Jul2019 
 Prediction Error = -1.34  Date_of_death = Jun2019 
 Prediction Error = -1.136  Date_of_death = May2019 
 Prediction Error = 0.7497  Date_of_death = Apr2019 
 Prediction Error = -1.085  Date_of_death = Mar2019 
 Prediction Error = 1.4118  Date_of_death = Feb2019 
 Prediction Error = -1.079  Date_of_death = Jan2019 
 Prediction Error = 1.4899  Date_of_death = Dec2018 
 Prediction Error = 1.53  Date_of_death = Nov2018 
 Prediction Error = -1.452  Date_of_death = Oct2018 
 Prediction Error = -0.104  Date_of_death = Sep2018 
 Prediction Error = 0.0107  Date_of_death = Aug2018 
 Prediction Error = -0.419  Date_of_death = Jul2018 
 Prediction Error = 0.7074  Date_of_death = Jun2018 
 Prediction Error = -0.149  Date_of_death = May2018 
 Prediction Error = 0.8023  Date_of_death = Apr2018 
 Prediction Error = -0.098  Date_of_death = Mar2018 
 Prediction Error = -1.684  Date_of_death = Feb2018 
 Prediction Error = -1.147  Date_of_death = Jan2018 
 Prediction Error = 1.5824  Date_of_death = Dec2017 
 Prediction Error = 1.6311  Date_of_death = Nov2017 
 Prediction Error = 1.6456  Date_of_death = Oct2017 
 Prediction Error = -1.183  Date_of_death = Sep2017 
 Prediction Error = -1.049  Date_of_death = Aug2017 
 Prediction Error = 1.6871  Date_of_death = Jul2017 
 Prediction Error = -0.317  Date_of_death = Jun2017 
 Prediction Error = 1.9719  Date_of_death = May2017 
 Prediction Error = -1.283  Date_of_death = Apr2017 
 Prediction Error = -1.16  Date_of_death = Mar2017 
 Prediction Error = -0.721  Date_of_death = Feb2017 
 Prediction Error = -0.16  Date_of_death = Jan2017 
 Prediction Error = -1.517  Date_of_death = Dec2016 
 Prediction Error = 1.7434  Date_of_death = Nov2016 
 Prediction Error = -0.381  Date_of_death = Oct2016 
 Prediction Error = -1.26  Date_of_death = Sep2016 
 Prediction Error = 2.0845  Date_of_death = Aug2016 
 Prediction Error = -0.341  Date_of_death = Jul2016 
 Prediction Error = -0.345  Date_of_death = Jun2016 
 Prediction Error = -1.095  Date_of_death = May2016 
 Prediction Error = -0.295  Date_of_death = Apr2016 
 Prediction Error = 1.9714  Date_of_death = Mar2016 
 Prediction Error = 1.3628  Date_of_death = Feb2016 
 Prediction Error = 1.9698  Date_of_death = Jan2016 
 Prediction Error = -0.564  Date_of_death = Dec2015 
 Prediction Error = 1.8752  Date_of_death = Nov2015 
 Prediction Error = 1.7379  Date_of_death = Oct2015 
 Prediction Error = 1.8568  Date_of_death = Sep2015 
 Prediction Error = -0.985  Date_of_death = Aug2015 
 Prediction Error = 1.7872  Date_of_death = Jul2015 
 Prediction Error = -1.443  Date_of_death = Jun2015 
 Prediction Error = -1.168  Date_of_death = May2015 
 Prediction Error = -1.392  Date_of_death = Apr2015 
 Prediction Error = -0.03  Date_of_death = Mar2015 
 Prediction Error = -0.69  Date_of_death = Feb2015 
 Prediction Error = 1.0453  Date_of_death = Jan2015 
 Prediction Error = 1.5322  Date_of_death = Dec2014 
 Prediction Error = -0.144  Date_of_death = Nov2014 
 Prediction Error = -1.366  Date_of_death = Oct2014 
 Prediction Error = -1.226  Date_of_death = Sep2014 
 Prediction Error = -1.065  Date_of_death = Aug2014 
 Prediction Error = 0.8551  Date_of_death = Jul2014 
 Prediction Error = -0.477  Date_of_death = Jun2014 
 Prediction Error = 1.9802  Date_of_death = May2014 
 Prediction Error = -0.428  Date_of_death = Apr2014 
 Prediction Error = 2.1268  Date_of_death = Mar2014 
 Prediction Error = -1.83  Date_of_death = Feb2014 
 Prediction Error = 1.1269  Date_of_death = Jan2014 
 Prediction Error = 1.6487  Date_of_death = Dec2013 
 Prediction Error = 2.0095  Date_of_death = Nov2013 
 Prediction Error = -0.397  Date_of_death = Oct2013 
 Prediction Error = 1.9268  Date_of_death = Sep2013 
 Prediction Error = -0.077  Date_of_death = Aug2013 
 Prediction Error = -1.237  Date_of_death = Jul2013 
 Prediction Error = -1.601  Date_of_death = Jun2013 
 Prediction Error = 2.1507  Date_of_death = May2013 
 Prediction Error = 0.6084  Date_of_death = Apr2013 
 Prediction Error = 0.1421  Date_of_death = Mar2013 
 Prediction Error = -0.902  Date_of_death = Feb2013 
 Prediction Error = 2.3014  Date_of_death = Jan2013 
 Prediction Error = -0.392  Date_of_death = Dec2012 
 Prediction Error = -1.076  Date_of_death = Nov2012 
 Prediction Error = 1.743  Date_of_death = Oct2012 
 Prediction Error = -0.083  Date_of_death = Sep2012 
 Prediction Error = -1.168  Date_of_death = Aug2012 
 Prediction Error = -1.339  Date_of_death = Jul2012 
 Prediction Error = -0.657  Date_of_death = Jun2012 
 Prediction Error = 2.3418  Date_of_death = May2012 
 Prediction Error = 1.7455  Date_of_death = Apr2012 
 Prediction Error = 2.3314  Date_of_death = Mar2012 
 Prediction Error = -0.994  Date_of_death = Feb2012 
 Prediction Error = 0.3323  Date_of_death = Jan2012 
 Prediction Error = 1.7542  Date_of_death = Dec2011 
 Prediction Error = 2.101  Date_of_death = Nov2011 
 Prediction Error = 0.8109  Date_of_death = Oct2011 
 Prediction Error = 2.1033  Date_of_death = Sep2011 
 Prediction Error = -0.184  Date_of_death = Aug2011 
 Prediction Error = 1.825  Date_of_death = Jul2011 
 Prediction Error = -1.825  Date_of_death = Jun2011 
 Prediction Error = -0.72  Date_of_death = May2011 
 Prediction Error = -1.378  Date_of_death = Apr2011 
 Prediction Error = -0.726  Date_of_death = Mar2011 
 Prediction Error = 1.1047  Date_of_death = Feb2011 
 Prediction Error = 0.3577  Date_of_death = Jan2011 
 Prediction Error = -0.275  Date_of_death = Dec2010 
 Prediction Error = 0.1103  Date_of_death = Nov2010 
 Prediction Error = -0.214  Date_of_death = Oct2010 
 Prediction Error = 0.1147  Date_of_death = Sep2010 
 Prediction Error = 2.0014  Date_of_death = Aug2010 
 Prediction Error = -1.298  Date_of_death = Jul2010 
 Prediction Error = -2.012  Date_of_death = Jun2010 
 Prediction Error = -0.788  Date_of_death = May2010 
 Prediction Error = 1.7948  Date_of_death = Apr2010 
 Prediction Error = 1.4007  Date_of_death = Mar2010 
 Prediction Error = -2.098  Date_of_death = Feb2010 
 Prediction Error = -0.705  Date_of_death = Jan2010 
 Prediction Error = 0.8019  Date_of_death = Dec2009 
 Prediction Error = -0.994  Date_of_death = Nov2009 
 Prediction Error = -0.238  Date_of_death = Oct2009 
 Prediction Error = -0.992  Date_of_death = Sep2009 
 Prediction Error = -1.11  Date_of_death = Aug2009 
 Prediction Error = -1.442  Date_of_death = Jul2009 
 Prediction Error = 1.1067  Date_of_death = Jun2009 
 Prediction Error = 0.2294  Date_of_death = May2009 
 Prediction Error = -0.233  Date_of_death = Apr2009 
 Prediction Error = 0.4516  Date_of_death = Mar2009 
 Prediction Error = 1.0069  Date_of_death = Feb2009 
 Prediction Error = 2.5565  Date_of_death = Jan2009 
 Prediction Error = -1.339  Date_of_death = Dec2008 
 Prediction Error = -1.119  Date_of_death = Nov2008 
 Prediction Error = 1.9935  Date_of_death = Oct2008 
 Prediction Error = -1.121  Date_of_death = Sep2008 
 Prediction Error = -1.248  Date_of_death = Aug2008 
 Prediction Error = -0.499  Date_of_death = Jul2008 
 Prediction Error = 1.25  Date_of_death = Jun2008 
 Prediction Error = 0.2576  Date_of_death = May2008 
 Prediction Error = 1.9936  Date_of_death = Apr2008 
 Prediction Error = -0.624  Date_of_death = Mar2008 
 Prediction Error = -2.254  Date_of_death = Feb2008 
 Prediction Error = -0.494  Date_of_death = Jan2008 
 Prediction Error = 1.8779  Date_of_death = Dec2007 
 Prediction Error = -0.143  Date_of_death = Nov2007 
 Prediction Error = 1.1413  Date_of_death = Oct2007 
 Prediction Error = -1.284  Date_of_death = Sep2007 
 Prediction Error = -1.427  Date_of_death = Aug2007 
 Prediction Error = -1.719  Date_of_death = Jul2007 
 Prediction Error = -2.004  Date_of_death = Jun2007 
 Prediction Error = 0.2939  Date_of_death = May2007 
 Prediction Error = 2.2856  Date_of_death = Apr2007 
 Prediction Error = -0.715  Date_of_death = Mar2007 
 Prediction Error = 0.8566  Date_of_death = Feb2007 
 Prediction Error = -0.572  Date_of_death = Jan2007 
 Prediction Error = -1.286  Date_of_death = Dec2006 
 Prediction Error = -0.168  Date_of_death = Nov2006 
 Prediction Error = -1.003  Date_of_death = Oct2006 
 Prediction Error = -1.499  Date_of_death = Sep2006 
 Prediction Error = -1.665  Date_of_death = Aug2006 
 Prediction Error = -2.005  Date_of_death = Jul2006 
 Prediction Error = 1.1662  Date_of_death = Jun2006 
 Prediction Error = 0.3378  Date_of_death = May2006 
 Prediction Error = -0.836  Date_of_death = Apr2006 
 Prediction Error = 0.3321  Date_of_death = Mar2006 
 Prediction Error = 1.0019  Date_of_death = Feb2006 
 Prediction Error = -0.669  Date_of_death = Jan2006 
 Prediction Error = 2.0061  Date_of_death = Dec2005 
 Prediction Error = -1.406  Date_of_death = Nov2005 
 Prediction Error = .00031  Date_of_death = Oct2005 
 Prediction Error = -1.801  Date_of_death = Sep2005 
 Prediction Error = -0.795  Date_of_death = Aug2005 
 Prediction Error = 1.1956  Date_of_death = Jul2005 
 Prediction Error = 1.4008  Date_of_death = Jun2005 
 Prediction Error = -0.797  Date_of_death = May2005 
 Prediction Error = 0.1982  Date_of_death = Apr2005 
 Prediction Error = 2.8032  Date_of_death = Mar2005 
 Prediction Error = 1.2031  Date_of_death = Feb2005 
 Prediction Error = -0.808  Date_of_death = Jan2005 
 Prediction Error = -1.192  Date_of_death = Dec2004 
 Prediction Error = 1.9972  Date_of_death = Nov2004 
 Prediction Error = -1.251  Date_of_death = Oct2004 
 Prediction Error = -2.252  Date_of_death = Sep2004 
 Prediction Error = -2.248  Date_of_death = Aug2004 
 Prediction Error = 1.4975  Date_of_death = Jul2004 
 Prediction Error = -2.003  Date_of_death = Jun2004 
 Prediction Error = -0.996  Date_of_death = May2004 
 Prediction Error = 2.7498  Date_of_death = Apr2004 
 Prediction Error = -0.251  Date_of_death = Mar2004 
 Prediction Error = 0.2554  Date_of_death = Feb2004 
 Prediction Error = 2.7459  Date_of_death = Jan2004 
 Prediction Error = -1.498  Date_of_death = Dec2003 
 Prediction Error = -1.337  Date_of_death = Nov2003 
 Prediction Error = -0.332  Date_of_death = Oct2003 
 Prediction Error = 1.0013  Date_of_death = Sep2003 
 Prediction Error = 1.0023  Date_of_death = Aug2003 
 Prediction Error = 2.0014  Date_of_death = Jul2003 
 Prediction Error = 1.3314  Date_of_death = Jun2003 
 Prediction Error = 0.0012  Date_of_death = May2003 
 Prediction Error = -0.333  Date_of_death = Apr2003 
 Prediction Error = -0.335  Date_of_death = Mar2003 
 Prediction Error = -0.997  Date_of_death = Feb2003 
 Prediction Error = 0.9986  Date_of_death = Jan2003 
 Prediction Error = -2  Date_of_death = Dec2002 
 Prediction Error = 2.4995  Date_of_death = Nov2002 
 Prediction Error = -0.5  Date_of_death = Oct2002 
 Prediction Error = -3.002  Date_of_death = Sep2002 
 Prediction Error = -3  Date_of_death = Aug2002 
 Prediction Error = -1.5  Date_of_death = Jul2002 
 Prediction Error = 1.9996  Date_of_death = Jun2002 
 Prediction Error = -1.501  Date_of_death = May2002 
 Prediction Error = -0.5  Date_of_death = Apr2002 
 Prediction Error = -0.502  Date_of_death = Mar2002 
 Prediction Error = -3  Date_of_death = Feb2002 
 Prediction Error = 0.001  Date_of_death = Jan2002 
 Prediction Error = 1.4992  Date_of_death = Dec2001 
 Prediction Error = 0.999  Date_of_death = Nov2001 
 Prediction Error = -3  Date_of_death = Oct2001 
 Prediction Error = -16E-5  Date_of_death = Sep2001 
 Prediction Error = .00073  Date_of_death = Aug2001 
 Prediction Error = 3.0005  Date_of_death = Jul2001 
 Prediction Error = 2.0008  Date_of_death = Jun2001 
 Prediction Error = 3.0002  Date_of_death = May2001 
 Prediction Error = 1.0002  Date_of_death = Apr2001 
 Prediction Error = 1  Date_of_death = Mar2001 
 Prediction Error = -52E-6  Date_of_death = Feb2001 
 Prediction Error = .00086  Date_of_death = Jan2001 
 Prediction Error = 3  Date_of_death = Sep2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Aug2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Aug2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jul2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jul2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jun2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jun2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = May2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = May2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Apr2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Apr2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Mar2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Mar2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Feb2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Feb2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jan2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Jan2019 
 2*STD = 2.6292 
 -2*STD = -2.629  Date_of_death = Dec2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Dec2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Nov2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Nov2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Oct2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Oct2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Sep2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Sep2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Aug2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Aug2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jul2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jul2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jun2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jun2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = May2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = May2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Apr2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Apr2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Mar2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Mar2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Feb2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Feb2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jan2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Jan2018 
 2*STD = 2.6323 
 -2*STD = -2.632  Date_of_death = Dec2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Dec2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Nov2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Nov2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Oct2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Oct2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Sep2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Sep2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Aug2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Aug2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jul2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jul2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jun2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jun2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = May2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = May2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Apr2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Apr2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Mar2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Mar2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Feb2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Feb2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jan2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Jan2017 
 2*STD = 2.6359 
 -2*STD = -2.636  Date_of_death = Dec2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Dec2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Nov2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Nov2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Oct2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Oct2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Sep2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Sep2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Aug2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Aug2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jul2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jul2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jun2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jun2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = May2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = May2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Apr2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Apr2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Mar2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Mar2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Feb2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Feb2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jan2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Jan2016 
 2*STD = 2.64 
 -2*STD = -2.64  Date_of_death = Dec2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Dec2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Nov2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Nov2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Oct2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Oct2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Sep2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Sep2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Aug2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Aug2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jul2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jul2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jun2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jun2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = May2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = May2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Apr2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Apr2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Mar2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Mar2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Feb2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Feb2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jan2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Jan2015 
 2*STD = 2.6446 
 -2*STD = -2.645  Date_of_death = Dec2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Dec2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Nov2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Nov2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Oct2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Oct2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Sep2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Sep2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Aug2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Aug2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jul2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jul2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jun2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jun2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = May2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = May2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Apr2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Apr2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Mar2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Mar2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Feb2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Feb2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jan2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Jan2014 
 2*STD = 2.65 
 -2*STD = -2.65  Date_of_death = Dec2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Dec2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Nov2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Nov2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Oct2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Oct2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Sep2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Sep2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Aug2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Aug2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jul2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jul2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jun2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jun2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = May2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = May2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Apr2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Apr2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Mar2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Mar2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Feb2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Feb2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jan2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Jan2013 
 2*STD = 2.6563 
 -2*STD = -2.656  Date_of_death = Dec2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Dec2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Nov2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Nov2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Oct2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Oct2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Sep2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Sep2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Aug2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Aug2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jul2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jul2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jun2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jun2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = May2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = May2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Apr2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Apr2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Mar2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Mar2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Feb2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Feb2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jan2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Jan2012 
 2*STD = 2.6636 
 -2*STD = -2.664  Date_of_death = Dec2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Dec2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Nov2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Nov2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Oct2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Oct2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Sep2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Sep2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Aug2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Aug2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jul2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jul2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jun2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jun2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = May2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = May2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Apr2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Apr2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Mar2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Mar2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Feb2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Feb2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jan2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Jan2011 
 2*STD = 2.6724 
 -2*STD = -2.672  Date_of_death = Dec2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Dec2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Nov2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Nov2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Oct2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Oct2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Sep2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Sep2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Aug2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Aug2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jul2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jul2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jun2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jun2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = May2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = May2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Apr2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Apr2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Mar2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Mar2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Feb2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Feb2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jan2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Jan2010 
 2*STD = 2.683 
 -2*STD = -2.683  Date_of_death = Dec2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Dec2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Nov2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Nov2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Oct2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Oct2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Sep2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Sep2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Aug2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Aug2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jul2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jul2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jun2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jun2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = May2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = May2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Apr2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Apr2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Mar2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Mar2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Feb2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Feb2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jan2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Jan2009 
 2*STD = 2.6959 
 -2*STD = -2.696  Date_of_death = Dec2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Dec2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Nov2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Nov2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Oct2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Oct2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Sep2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Sep2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Aug2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Aug2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jul2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jul2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jun2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jun2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = May2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = May2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Apr2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Apr2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Mar2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Mar2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Feb2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Feb2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jan2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Jan2008 
 2*STD = 2.7122 
 -2*STD = -2.712  Date_of_death = Dec2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Dec2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Nov2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Nov2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Oct2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Oct2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Sep2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Sep2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Aug2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Aug2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jul2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jul2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jun2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jun2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = May2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = May2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Apr2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Apr2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Mar2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Mar2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Feb2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Feb2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jan2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Jan2007 
 2*STD = 2.733 
 -2*STD = -2.733  Date_of_death = Dec2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Dec2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Nov2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Nov2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Oct2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Oct2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Sep2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Sep2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Aug2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Aug2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jul2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jul2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jun2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jun2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = May2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = May2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Apr2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Apr2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Mar2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Mar2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Feb2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Feb2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jan2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Jan2006 
 2*STD = 2.7608 
 -2*STD = -2.761  Date_of_death = Dec2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Dec2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Nov2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Nov2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Oct2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Oct2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Sep2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Sep2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Aug2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Aug2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jul2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jul2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jun2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jun2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = May2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = May2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Apr2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Apr2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Mar2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Mar2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Feb2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Feb2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jan2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Jan2005 
 2*STD = 2.7994 
 -2*STD = -2.799  Date_of_death = Dec2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Dec2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Nov2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Nov2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Oct2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Oct2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Sep2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Sep2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Aug2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Aug2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jul2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jul2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jun2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jun2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = May2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = May2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Apr2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Apr2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Mar2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Mar2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Feb2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Feb2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jan2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Jan2004 
 2*STD = 2.8565 
 -2*STD = -2.857  Date_of_death = Dec2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Dec2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Nov2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Nov2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Oct2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Oct2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Sep2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Sep2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Aug2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Aug2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jul2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jul2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jun2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jun2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = May2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = May2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Apr2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Apr2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Mar2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Mar2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Feb2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Feb2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jan2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Jan2003 
 2*STD = 2.9496 
 -2*STD = -2.95  Date_of_death = Dec2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Dec2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Nov2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Nov2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Oct2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Oct2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Sep2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Sep2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Aug2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Aug2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jul2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jul2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jun2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jun2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = May2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = May2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Apr2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Apr2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Mar2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Mar2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Feb2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Feb2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jan2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Jan2002 
 2*STD = 3.1278 
 -2*STD = -3.128  Date_of_death = Dec2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Dec2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Nov2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Nov2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Oct2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Oct2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Sep2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Sep2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Aug2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Aug2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Jul2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Jul2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Jun2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Jun2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = May2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = May2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Apr2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Apr2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Mar2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Mar2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Feb2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Feb2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Date_of_death = Jan2001 
 2*STD = 3.6109 
 -2*STD = -3.611  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
238 OCT2019 2.102668 1.31458 -0.473869 4.679205
239 NOV2019 2.360532 1.31459 -0.216021 4.937085
240 DEC2019 2.556224 1.31459 -0.020326 5.132774
241 JAN2020 2.598955 1.31319 0.025145 5.172764
242 FEB2020 2.011785 1.31319 -0.562021 4.585591
243 MAR2020 2.672603 1.31319 0.098797 5.246409
244 APR2020 2.019861 1.31319 -0.553946 4.593667
245 MAY2020 2.297034 1.31319 -0.276773 4.870840
246 JUN2020 2.075046 1.31319 -0.498760 4.648853
247 JUL2020 2.261435 1.31319 -0.312371 4.835242
248 AUG2020 2.433314 1.31319 -0.140493 5.007120
249 SEP2020 1.988766 1.31320 -0.585054 4.562587

Forecasts Only Plot

 Date_of_death = Sep2020 
 Forecast = 1.9888  Date_of_death = Aug2020 
 Forecast = 2.4333  Date_of_death = Aug2020 
 Forecast = 2.4333  Date_of_death = Jul2020 
 Forecast = 2.2614  Date_of_death = Jul2020 
 Forecast = 2.2614  Date_of_death = Jun2020 
 Forecast = 2.0750  Date_of_death = Jun2020 
 Forecast = 2.0750  Date_of_death = May2020 
 Forecast = 2.2970  Date_of_death = May2020 
 Forecast = 2.2970  Date_of_death = Apr2020 
 Forecast = 2.0199  Date_of_death = Apr2020 
 Forecast = 2.0199  Date_of_death = Mar2020 
 Forecast = 2.6726  Date_of_death = Mar2020 
 Forecast = 2.6726  Date_of_death = Feb2020 
 Forecast = 2.0118  Date_of_death = Feb2020 
 Forecast = 2.0118  Date_of_death = Jan2020 
 Forecast = 2.5990  Date_of_death = Jan2020 
 Forecast = 2.5990  Date_of_death = Dec2019 
 Forecast = 2.5562  Date_of_death = Dec2019 
 Forecast = 2.5562  Date_of_death = Nov2019 
 Forecast = 2.3605  Date_of_death = Nov2019 
 Forecast = 2.3605  Date_of_death = Oct2019 
 Forecast = 2.1027  Date_of_death = Sep2020 
 Upper 95% = 4.5626 
 Lower 95% = -0.5851  Date_of_death = Aug2020 
 Upper 95% = 5.0071 
 Lower 95% = -0.1405  Date_of_death = Aug2020 
 Upper 95% = 5.0071 
 Lower 95% = -0.1405  Date_of_death = Jul2020 
 Upper 95% = 4.8352 
 Lower 95% = -0.3124  Date_of_death = Jul2020 
 Upper 95% = 4.8352 
 Lower 95% = -0.3124  Date_of_death = Jun2020 
 Upper 95% = 4.6489 
 Lower 95% = -0.4988  Date_of_death = Jun2020 
 Upper 95% = 4.6489 
 Lower 95% = -0.4988  Date_of_death = May2020 
 Upper 95% = 4.8708 
 Lower 95% = -0.2768  Date_of_death = May2020 
 Upper 95% = 4.8708 
 Lower 95% = -0.2768  Date_of_death = Apr2020 
 Upper 95% = 4.5937 
 Lower 95% = -0.5539  Date_of_death = Apr2020 
 Upper 95% = 4.5937 
 Lower 95% = -0.5539  Date_of_death = Mar2020 
 Upper 95% = 5.2464 
 Lower 95% = 0.0988  Date_of_death = Mar2020 
 Upper 95% = 5.2464 
 Lower 95% = 0.0988  Date_of_death = Feb2020 
 Upper 95% = 4.5856 
 Lower 95% = -0.5620  Date_of_death = Feb2020 
 Upper 95% = 4.5856 
 Lower 95% = -0.5620  Date_of_death = Jan2020 
 Upper 95% = 5.1728 
 Lower 95% = 0.0251  Date_of_death = Jan2020 
 Upper 95% = 5.1728 
 Lower 95% = 0.0251  Date_of_death = Dec2019 
 Upper 95% = 5.1328 
 Lower 95% = -0.0203  Date_of_death = Dec2019 
 Upper 95% = 5.1328 
 Lower 95% = -0.0203  Date_of_death = Nov2019 
 Upper 95% = 4.9371 
 Lower 95% = -0.2160  Date_of_death = Nov2019 
 Upper 95% = 4.9371 
 Lower 95% = -0.2160  Date_of_death = Oct2019 
 Upper 95% = 4.6792 
 Lower 95% = -0.4739
Forecast Only Plot

Forecasts Plot

 X = 21793  Date_of_death = Sep2020 
 Forecast = 1.9888  Date_of_death = Aug2020 
 Forecast = 2.4333  Date_of_death = Aug2020 
 Forecast = 2.4333  Date_of_death = Jul2020 
 Forecast = 2.2614  Date_of_death = Jul2020 
 Forecast = 2.2614  Date_of_death = Jun2020 
 Forecast = 2.0750  Date_of_death = Jun2020 
 Forecast = 2.0750  Date_of_death = May2020 
 Forecast = 2.2970  Date_of_death = May2020 
 Forecast = 2.2970  Date_of_death = Apr2020 
 Forecast = 2.0199  Date_of_death = Apr2020 
 Forecast = 2.0199  Date_of_death = Mar2020 
 Forecast = 2.6726  Date_of_death = Mar2020 
 Forecast = 2.6726  Date_of_death = Feb2020 
 Forecast = 2.0118  Date_of_death = Feb2020 
 Forecast = 2.0118  Date_of_death = Jan2020 
 Forecast = 2.5990  Date_of_death = Jan2020 
 Forecast = 2.5990  Date_of_death = Dec2019 
 Forecast = 2.5562  Date_of_death = Dec2019 
 Forecast = 2.5562  Date_of_death = Nov2019 
 Forecast = 2.3605  Date_of_death = Nov2019 
 Forecast = 2.3605  Date_of_death = Oct2019 
 Forecast = 2.1027  Date_of_death = Oct2019 
 Forecast = 2.1027  Date_of_death = Sep2019 
 Forecast = 1.9881  Date_of_death = Sep2019 
 Forecast = 1.9881  Date_of_death = Aug2019 
 Forecast = 2.3988  Date_of_death = Aug2019 
 Forecast = 2.3988  Date_of_death = Jul2019 
 Forecast = 2.3404  Date_of_death = Jul2019 
 Forecast = 2.3404  Date_of_death = Jun2019 
 Forecast = 2.1358  Date_of_death = Jun2019 
 Forecast = 2.1358  Date_of_death = May2019 
 Forecast = 2.2503  Date_of_death = May2019 
 Forecast = 2.2503  Date_of_death = Apr2019 
 Forecast = 2.0851  Date_of_death = Apr2019 
 Forecast = 2.0851  Date_of_death = Mar2019 
 Forecast = 2.5882  Date_of_death = Mar2019 
 Forecast = 2.5882  Date_of_death = Feb2019 
 Forecast = 2.0789  Date_of_death = Feb2019 
 Forecast = 2.0789  Date_of_death = Jan2019 
 Forecast = 2.5101  Date_of_death = Jan2019 
 Forecast = 2.5101  Date_of_death = Dec2018 
 Forecast = 2.4700  Date_of_death = Dec2018 
 Forecast = 2.4700  Date_of_death = Nov2018 
 Forecast = 2.4522  Date_of_death = Nov2018 
 Forecast = 2.4522  Date_of_death = Oct2018 
 Forecast = 2.1042  Date_of_death = Oct2018 
 Forecast = 2.1042  Date_of_death = Sep2018 
 Forecast = 1.9893  Date_of_death = Sep2018 
 Forecast = 1.9893  Date_of_death = Aug2018 
 Forecast = 2.4191  Date_of_death = Aug2018 
 Forecast = 2.4191  Date_of_death = Jul2018 
 Forecast = 2.2926  Date_of_death = Jul2018 
 Forecast = 2.2926  Date_of_death = Jun2018 
 Forecast = 2.1494  Date_of_death = Jun2018 
 Forecast = 2.1494  Date_of_death = May2018 
 Forecast = 2.1977  Date_of_death = May2018 
 Forecast = 2.1977  Date_of_death = Apr2018 
 Forecast = 2.0982  Date_of_death = Apr2018 
 Forecast = 2.0982  Date_of_death = Mar2018 
 Forecast = 2.6843  Date_of_death = Mar2018 
 Forecast = 2.6843  Date_of_death = Feb2018 
 Forecast = 2.1472  Date_of_death = Feb2018 
 Forecast = 2.1472  Date_of_death = Jan2018 
 Forecast = 2.4176  Date_of_death = Jan2018 
 Forecast = 2.4176  Date_of_death = Dec2017 
 Forecast = 2.3689  Date_of_death = Dec2017 
 Forecast = 2.3689  Date_of_death = Nov2017 
 Forecast = 2.3544  Date_of_death = Nov2017 
 Forecast = 2.3544  Date_of_death = Oct2017 
 Forecast = 2.1826  Date_of_death = Oct2017 
 Forecast = 2.1826  Date_of_death = Sep2017 
 Forecast = 2.0491  Date_of_death = Sep2017 
 Forecast = 2.0491  Date_of_death = Aug2017 
 Forecast = 2.3129  Date_of_death = Aug2017 
 Forecast = 2.3129  Date_of_death = Jul2017 
 Forecast = 2.3167  Date_of_death = Jul2017 
 Forecast = 2.3167  Date_of_death = Jun2017 
 Forecast = 2.0281  Date_of_death = Jun2017 
 Forecast = 2.0281  Date_of_death = May2017 
 Forecast = 2.2828  Date_of_death = May2017 
 Forecast = 2.2828  Date_of_death = Apr2017 
 Forecast = 2.1599  Date_of_death = Apr2017 
 Forecast = 2.1599  Date_of_death = Mar2017 
 Forecast = 2.7208  Date_of_death = Mar2017 
 Forecast = 2.7208  Date_of_death = Feb2017 
 Forecast = 2.1598  Date_of_death = Feb2017 
 Forecast = 2.1598  Date_of_death = Jan2017 
 Forecast = 2.5170  Date_of_death = Jan2017 
 Forecast = 2.5170  Date_of_death = Dec2016 
 Forecast = 2.2566  Date_of_death = Dec2016 
 Forecast = 2.2566  Date_of_death = Nov2016 
 Forecast = 2.3808  Date_of_death = Nov2016 
 Forecast = 2.3808  Date_of_death = Oct2016 
 Forecast = 2.2604  Date_of_death = Oct2016 
 Forecast = 2.2604  Date_of_death = Sep2016 
 Forecast = 1.9155  Date_of_death = Sep2016 
 Forecast = 1.9155  Date_of_death = Aug2016 
 Forecast = 2.3405  Date_of_death = Aug2016 
 Forecast = 2.3405  Date_of_death = Jul2016 
 Forecast = 2.3451  Date_of_death = Jul2016 
 Forecast = 2.3451  Date_of_death = Jun2016 
 Forecast = 2.0948  Date_of_death = Jun2016 
 Forecast = 2.0948  Date_of_death = May2016 
 Forecast = 2.2955  Date_of_death = May2016 
 Forecast = 2.2955  Date_of_death = Apr2016 
 Forecast = 2.0286  Date_of_death = Apr2016 
 Forecast = 2.0286  Date_of_death = Mar2016 
 Forecast = 2.6372  Date_of_death = Mar2016 
 Forecast = 2.6372  Date_of_death = Feb2016 
 Forecast = 2.0302  Date_of_death = Feb2016 
 Forecast = 2.0302  Date_of_death = Jan2016 
 Forecast = 2.5644  Date_of_death = Jan2016 
 Forecast = 2.5644  Date_of_death = Dec2015 
 Forecast = 2.1248  Date_of_death = Dec2015 
 Forecast = 2.1248  Date_of_death = Nov2015 
 Forecast = 2.2621  Date_of_death = Nov2015 
 Forecast = 2.2621  Date_of_death = Oct2015 
 Forecast = 2.1432  Date_of_death = Oct2015 
 Forecast = 2.1432  Date_of_death = Sep2015 
 Forecast = 1.9855  Date_of_death = Sep2015 
 Forecast = 1.9855  Date_of_death = Aug2015 
 Forecast = 2.2128  Date_of_death = Aug2015 
 Forecast = 2.2128  Date_of_death = Jul2015 
 Forecast = 2.4434  Date_of_death = Jul2015 
 Forecast = 2.4434  Date_of_death = Jun2015 
 Forecast = 2.1678  Date_of_death = Jun2015 
 Forecast = 2.1678  Date_of_death = May2015 
 Forecast = 2.3920  Date_of_death = May2015 
 Forecast = 2.3920  Date_of_death = Apr2015 
 Forecast = 2.0300  Date_of_death = Apr2015 
 Forecast = 2.0300  Date_of_death = Mar2015 
 Forecast = 2.6899  Date_of_death = Mar2015 
 Forecast = 2.6899  Date_of_death = Feb2015 
 Forecast = 1.9547  Date_of_death = Feb2015 
 Forecast = 1.9547  Date_of_death = Jan2015 
 Forecast = 2.4678  Date_of_death = Jan2015 
 Forecast = 2.4678  Date_of_death = Dec2014 
 Forecast = 2.1443  Date_of_death = Dec2014 
 Forecast = 2.1443  Date_of_death = Nov2014 
 Forecast = 2.3660  Date_of_death = Nov2014 
 Forecast = 2.3660  Date_of_death = Oct2014 
 Forecast = 2.2257  Date_of_death = Oct2014 
 Forecast = 2.2257  Date_of_death = Sep2014 
 Forecast = 2.0651  Date_of_death = Sep2014 
 Forecast = 2.0651  Date_of_death = Aug2014 
 Forecast = 2.1449  Date_of_death = Aug2014 
 Forecast = 2.1449  Date_of_death = Jul2014 
 Forecast = 2.4773  Date_of_death = Jul2014 
 Forecast = 2.4773  Date_of_death = Jun2014 
 Forecast = 2.0198  Date_of_death = Jun2014 
 Forecast = 2.0198  Date_of_death = May2014 
 Forecast = 2.4279  Date_of_death = May2014 
 Forecast = 2.4279  Date_of_death = Apr2014 
 Forecast = 1.8732  Date_of_death = Apr2014 
 Forecast = 1.8732  Date_of_death = Mar2014 
 Forecast = 2.8304  Date_of_death = Mar2014 
 Forecast = 2.8304  Date_of_death = Feb2014 
 Forecast = 1.8731  Date_of_death = Feb2014 
 Forecast = 1.8731  Date_of_death = Jan2014 
 Forecast = 2.3513  Date_of_death = Jan2014 
 Forecast = 2.3513  Date_of_death = Dec2013 
 Forecast = 1.9905  Date_of_death = Dec2013 
 Forecast = 1.9905  Date_of_death = Nov2013 
 Forecast = 2.3970  Date_of_death = Nov2013 
 Forecast = 2.3970  Date_of_death = Oct2013 
 Forecast = 2.0732  Date_of_death = Oct2013 
 Forecast = 2.0732  Date_of_death = Sep2013 
 Forecast = 2.0766  Date_of_death = Sep2013 
 Forecast = 2.0766  Date_of_death = Aug2013 
 Forecast = 2.2368  Date_of_death = Aug2013 
 Forecast = 2.2368  Date_of_death = Jul2013 
 Forecast = 2.6012  Date_of_death = Jul2013 
 Forecast = 2.6012  Date_of_death = Jun2013 
 Forecast = 1.8493  Date_of_death = Jun2013 
 Forecast = 1.8493  Date_of_death = May2013 
 Forecast = 2.3916  Date_of_death = May2013 
 Forecast = 2.3916  Date_of_death = Apr2013 
 Forecast = 1.8579  Date_of_death = Apr2013 
 Forecast = 1.8579  Date_of_death = Mar2013 
 Forecast = 2.9019  Date_of_death = Mar2013 
 Forecast = 2.9019  Date_of_death = Feb2013 
 Forecast = 1.6986  Date_of_death = Feb2013 
 Forecast = 1.6986  Date_of_death = Jan2013 
 Forecast = 2.3916  Date_of_death = Jan2013 
 Forecast = 2.3916  Date_of_death = Dec2012 
 Forecast = 2.0760  Date_of_death = Dec2012 
 Forecast = 2.0760  Date_of_death = Nov2012 
 Forecast = 2.2570  Date_of_death = Nov2012 
 Forecast = 2.2570  Date_of_death = Oct2012 
 Forecast = 2.0835  Date_of_death = Oct2012 
 Forecast = 2.0835  Date_of_death = Sep2012 
 Forecast = 2.1683  Date_of_death = Sep2012 
 Forecast = 2.1683  Date_of_death = Aug2012 
 Forecast = 2.3389  Date_of_death = Aug2012 
 Forecast = 2.3389  Date_of_death = Jul2012 
 Forecast = 2.6572  Date_of_death = Jul2012 
 Forecast = 2.6572  Date_of_death = Jun2012 
 Forecast = 1.6582  Date_of_death = Jun2012 
 Forecast = 1.6582  Date_of_death = May2012 
 Forecast = 2.2545  Date_of_death = May2012 
 Forecast = 2.2545  Date_of_death = Apr2012 
 Forecast = 1.6686  Date_of_death = Apr2012 
 Forecast = 1.6686  Date_of_death = Mar2012 
 Forecast = 2.9936  Date_of_death = Mar2012 
 Forecast = 2.9936  Date_of_death = Feb2012 
 Forecast = 1.6677  Date_of_death = Feb2012 
 Forecast = 1.6677  Date_of_death = Jan2012 
 Forecast = 2.2458  Date_of_death = Jan2012 
 Forecast = 2.2458  Date_of_death = Dec2011 
 Forecast = 1.8990  Date_of_death = Dec2011 
 Forecast = 1.8990  Date_of_death = Nov2011 
 Forecast = 2.1891  Date_of_death = Nov2011 
 Forecast = 2.1891  Date_of_death = Oct2011 
 Forecast = 1.8967  Date_of_death = Oct2011 
 Forecast = 1.8967  Date_of_death = Sep2011 
 Forecast = 2.1839  Date_of_death = Sep2011 
 Forecast = 2.1839  Date_of_death = Aug2011 
 Forecast = 2.1750  Date_of_death = Aug2011 
 Forecast = 2.1750  Date_of_death = Jul2011 
 Forecast = 2.8246  Date_of_death = Jul2011 
 Forecast = 2.8246  Date_of_death = Jun2011 
 Forecast = 1.7203  Date_of_death = Jun2011 
 Forecast = 1.7203  Date_of_death = May2011 
 Forecast = 2.3785  Date_of_death = May2011 
 Forecast = 2.3785  Date_of_death = Apr2011 
 Forecast = 1.7263  Date_of_death = Apr2011 
 Forecast = 1.7263  Date_of_death = Mar2011 
 Forecast = 2.8953  Date_of_death = Mar2011 
 Forecast = 2.8953  Date_of_death = Feb2011 
 Forecast = 1.6423  Date_of_death = Feb2011 
 Forecast = 1.6423  Date_of_death = Jan2011 
 Forecast = 2.2751  Date_of_death = Jan2011 
 Forecast = 2.2751  Date_of_death = Dec2010 
 Forecast = 1.8897  Date_of_death = Dec2010 
 Forecast = 1.8897  Date_of_death = Nov2010 
 Forecast = 2.2144  Date_of_death = Nov2010 
 Forecast = 2.2144  Date_of_death = Oct2010 
 Forecast = 1.8853  Date_of_death = Oct2010 
 Forecast = 1.8853  Date_of_death = Sep2010 
 Forecast = 1.9986  Date_of_death = Sep2010 
 Forecast = 1.9986  Date_of_death = Aug2010 
 Forecast = 2.2981  Date_of_death = Aug2010 
 Forecast = 2.2981  Date_of_death = Jul2010 
 Forecast = 3.0115  Date_of_death = Jul2010 
 Forecast = 3.0115  Date_of_death = Jun2010 
 Forecast = 1.7884  Date_of_death = Jun2010 
 Forecast = 1.7884  Date_of_death = May2010 
 Forecast = 2.2052  Date_of_death = May2010 
 Forecast = 2.2052  Date_of_death = Apr2010 
 Forecast = 1.5993  Date_of_death = Apr2010 
 Forecast = 1.5993  Date_of_death = Mar2010 
 Forecast = 3.0977  Date_of_death = Mar2010 
 Forecast = 3.0977  Date_of_death = Feb2010 
 Forecast = 1.7047  Date_of_death = Feb2010 
 Forecast = 1.7047  Date_of_death = Jan2010 
 Forecast = 2.1981  Date_of_death = Jan2010 
 Forecast = 2.1981  Date_of_death = Dec2009 
 Forecast = 1.9937  Date_of_death = Dec2009 
 Forecast = 1.9937  Date_of_death = Nov2009 
 Forecast = 2.2378  Date_of_death = Nov2009 
 Forecast = 2.2378  Date_of_death = Oct2009 
 Forecast = 1.9921  Date_of_death = Oct2009 
 Forecast = 1.9921  Date_of_death = Sep2009 
 Forecast = 2.1098  Date_of_death = Sep2009 
 Forecast = 2.1098  Date_of_death = Aug2009 
 Forecast = 2.4419  Date_of_death = Aug2009 
 Forecast = 2.4419  Date_of_death = Jul2009 
 Forecast = 2.8933  Date_of_death = Jul2009 
 Forecast = 2.8933  Date_of_death = Jun2009 
 Forecast = 1.7706  Date_of_death = Jun2009 
 Forecast = 1.7706  Date_of_death = May2009 
 Forecast = 2.2332  Date_of_death = May2009 
 Forecast = 2.2332  Date_of_death = Apr2009 
 Forecast = 1.5484  Date_of_death = Apr2009 
 Forecast = 1.5484  Date_of_death = Mar2009 
 Forecast = 2.9931  Date_of_death = Mar2009 
 Forecast = 2.9931  Date_of_death = Feb2009 
 Forecast = 1.4435  Date_of_death = Feb2009 
 Forecast = 1.4435  Date_of_death = Jan2009 
 Forecast = 2.3392  Date_of_death = Jan2009 
 Forecast = 2.3392  Date_of_death = Dec2008 
 Forecast = 2.1190  Date_of_death = Dec2008 
 Forecast = 2.1190  Date_of_death = Nov2008 
 Forecast = 2.0065  Date_of_death = Nov2008 
 Forecast = 2.0065  Date_of_death = Oct2008 
 Forecast = 2.1208  Date_of_death = Oct2008 
 Forecast = 2.1208  Date_of_death = Sep2008 
 Forecast = 2.2477  Date_of_death = Sep2008 
 Forecast = 2.2477  Date_of_death = Aug2008 
 Forecast = 2.4988  Date_of_death = Aug2008 
 Forecast = 2.4988  Date_of_death = Jul2008 
 Forecast = 2.7500  Date_of_death = Jul2008 
 Forecast = 2.7500  Date_of_death = Jun2008 
 Forecast = 1.7424  Date_of_death = Jun2008 
 Forecast = 1.7424  Date_of_death = May2008 
 Forecast = 2.0064  Date_of_death = May2008 
 Forecast = 2.0064  Date_of_death = Apr2008 
 Forecast = 1.6243  Date_of_death = Apr2008 
 Forecast = 1.6243  Date_of_death = Mar2008 
 Forecast = 3.2544  Date_of_death = Mar2008 
 Forecast = 3.2544  Date_of_death = Feb2008 
 Forecast = 1.4943  Date_of_death = Feb2008 
 Forecast = 1.4943  Date_of_death = Jan2008 
 Forecast = 2.1221  Date_of_death = Jan2008 
 Forecast = 2.1221  Date_of_death = Dec2007 
 Forecast = 2.1432  Date_of_death = Dec2007 
 Forecast = 2.1432  Date_of_death = Nov2007 
 Forecast = 1.8587  Date_of_death = Nov2007 
 Forecast = 1.8587  Date_of_death = Oct2007 
 Forecast = 2.2841  Date_of_death = Oct2007 
 Forecast = 2.2841  Date_of_death = Sep2007 
 Forecast = 2.4273  Date_of_death = Sep2007 
 Forecast = 2.4273  Date_of_death = Aug2007 
 Forecast = 2.7185  Date_of_death = Aug2007 
 Forecast = 2.7185  Date_of_death = Jul2007 
 Forecast = 3.0045  Date_of_death = Jul2007 
 Forecast = 3.0045  Date_of_death = Jun2007 
 Forecast = 1.7061  Date_of_death = Jun2007 
 Forecast = 1.7061  Date_of_death = May2007 
 Forecast = 1.7144  Date_of_death = May2007 
 Forecast = 1.7144  Date_of_death = Apr2007 
 Forecast = 1.7152  Date_of_death = Apr2007 
 Forecast = 1.7152  Date_of_death = Mar2007 
 Forecast = 3.1434  Date_of_death = Mar2007 
 Forecast = 3.1434  Date_of_death = Feb2007 
 Forecast = 1.5718  Date_of_death = Feb2007 
 Forecast = 1.5718  Date_of_death = Jan2007 
 Forecast = 2.2857  Date_of_death = Jan2007 
 Forecast = 2.2857  Date_of_death = Dec2006 
 Forecast = 2.1682  Date_of_death = Dec2006 
 Forecast = 2.1682  Date_of_death = Nov2006 
 Forecast = 2.0027  Date_of_death = Nov2006 
 Forecast = 2.0027  Date_of_death = Oct2006 
 Forecast = 2.4990  Date_of_death = Oct2006 
 Forecast = 2.4990  Date_of_death = Sep2006 
 Forecast = 2.6653  Date_of_death = Sep2006 
 Forecast = 2.6653  Date_of_death = Aug2006 
 Forecast = 3.0052  Date_of_death = Aug2006 
 Forecast = 3.0052  Date_of_death = Jul2006 
 Forecast = 2.8338  Date_of_death = Jul2006 
 Forecast = 2.8338  Date_of_death = Jun2006 
 Forecast = 1.6622  Date_of_death = Jun2006 
 Forecast = 1.6622  Date_of_death = May2006 
 Forecast = 1.8356  Date_of_death = May2006 
 Forecast = 1.8356  Date_of_death = Apr2006 
 Forecast = 1.6679  Date_of_death = Apr2006 
 Forecast = 1.6679  Date_of_death = Mar2006 
 Forecast = 2.9981  Date_of_death = Mar2006 
 Forecast = 2.9981  Date_of_death = Feb2006 
 Forecast = 1.6686  Date_of_death = Feb2006 
 Forecast = 1.6686  Date_of_death = Jan2006 
 Forecast = 1.9939  Date_of_death = Jan2006 
 Forecast = 1.9939  Date_of_death = Dec2005 
 Forecast = 2.4063  Date_of_death = Dec2005 
 Forecast = 2.4063  Date_of_death = Nov2005 
 Forecast = 1.9997  Date_of_death = Nov2005 
 Forecast = 1.9997  Date_of_death = Oct2005 
 Forecast = 2.8005  Date_of_death = Oct2005 
 Forecast = 2.8005  Date_of_death = Sep2005 
 Forecast = 2.7952  Date_of_death = Sep2005 
 Forecast = 2.7952  Date_of_death = Aug2005 
 Forecast = 2.8044  Date_of_death = Aug2005 
 Forecast = 2.8044  Date_of_death = Jul2005 
 Forecast = 2.5992  Date_of_death = Jul2005 
 Forecast = 2.5992  Date_of_death = Jun2005 
 Forecast = 1.7967  Date_of_death = Jun2005 
 Forecast = 1.7967  Date_of_death = May2005 
 Forecast = 1.8018  Date_of_death = May2005 
 Forecast = 1.8018  Date_of_death = Apr2005 
 Forecast = 1.1968  Date_of_death = Apr2005 
 Forecast = 1.1968  Date_of_death = Mar2005 
 Forecast = 2.7969  Date_of_death = Mar2005 
 Forecast = 2.7969  Date_of_death = Feb2005 
 Forecast = 1.8083  Date_of_death = Feb2005 
 Forecast = 1.8083  Date_of_death = Jan2005 
 Forecast = 2.1924  Date_of_death = Jan2005 
 Forecast = 2.1924  Date_of_death = Dec2004 
 Forecast = 2.0028  Date_of_death = Dec2004 
 Forecast = 2.0028  Date_of_death = Nov2004 
 Forecast = 2.2511  Date_of_death = Nov2004 
 Forecast = 2.2511  Date_of_death = Oct2004 
 Forecast = 3.2523  Date_of_death = Oct2004 
 Forecast = 3.2523  Date_of_death = Sep2004 
 Forecast = 3.2476  Date_of_death = Sep2004 
 Forecast = 3.2476  Date_of_death = Aug2004 
 Forecast = 2.5025  Date_of_death = Aug2004 
 Forecast = 2.5025  Date_of_death = Jul2004 
 Forecast = 3.0030  Date_of_death = Jul2004 
 Forecast = 3.0030  Date_of_death = Jun2004 
 Forecast = 1.9962  Date_of_death = Jun2004 
 Forecast = 1.9962  Date_of_death = May2004 
 Forecast = 1.2502  Date_of_death = May2004 
 Forecast = 1.2502  Date_of_death = Apr2004 
 Forecast = 1.2509  Date_of_death = Apr2004 
 Forecast = 1.2509  Date_of_death = Mar2004 
 Forecast = 2.7446  Date_of_death = Mar2004 
 Forecast = 2.7446  Date_of_death = Feb2004 
 Forecast = 1.2541  Date_of_death = Feb2004 
 Forecast = 1.2541  Date_of_death = Jan2004 
 Forecast = 2.4984  Date_of_death = Jan2004 
 Forecast = 2.4984  Date_of_death = Dec2003 
 Forecast = 2.3366  Date_of_death = Dec2003 
 Forecast = 2.3366  Date_of_death = Nov2003 
 Forecast = 2.3318  Date_of_death = Nov2003 
 Forecast = 2.3318  Date_of_death = Oct2003 
 Forecast = 2.9987  Date_of_death = Oct2003 
 Forecast = 2.9987  Date_of_death = Sep2003 
 Forecast = 2.9977  Date_of_death = Sep2003 
 Forecast = 2.9977  Date_of_death = Aug2003 
 Forecast = 1.9986  Date_of_death = Aug2003 
 Forecast = 1.9986  Date_of_death = Jul2003 
 Forecast = 2.6686  Date_of_death = Jul2003 
 Forecast = 2.6686  Date_of_death = Jun2003 
 Forecast = 1.9988  Date_of_death = Jun2003 
 Forecast = 1.9988  Date_of_death = May2003 
 Forecast = 1.3335  Date_of_death = May2003 
 Forecast = 1.3335  Date_of_death = Apr2003 
 Forecast = 1.3348  Date_of_death = Apr2003 
 Forecast = 1.3348  Date_of_death = Mar2003 
 Forecast = 2.9972  Date_of_death = Mar2003 
 Forecast = 2.9972  Date_of_death = Feb2003 
 Forecast = 1.0014  Date_of_death = Feb2003 
 Forecast = 1.0014  Date_of_death = Jan2003 
 Forecast = 2.9999  Date_of_death = Jan2003 
 Forecast = 2.9999  Date_of_death = Dec2002 
 Forecast = 1.5005  Date_of_death = Dec2002 
 Forecast = 1.5005  Date_of_death = Nov2002 
 Forecast = 2.5002  Date_of_death = Nov2002 
 Forecast = 2.5002  Date_of_death = Oct2002 
 Forecast = 4.0019  Date_of_death = Oct2002 
 Forecast = 4.0019  Date_of_death = Sep2002 
 Forecast = 4.0003  Date_of_death = Sep2002 
 Forecast = 4.0003  Date_of_death = Aug2002 
 Forecast = 2.4996  Date_of_death = Aug2002 
 Forecast = 2.4996  Date_of_death = Jul2002 
 Forecast = 2.0004  Date_of_death = Jul2002 
 Forecast = 2.0004  Date_of_death = Jun2002 
 Forecast = 2.5007  Date_of_death = Jun2002 
 Forecast = 2.5007  Date_of_death = May2002 
 Forecast = 1.5000  Date_of_death = May2002 
 Forecast = 1.5000  Date_of_death = Apr2002 
 Forecast = 1.5017  Date_of_death = Apr2002 
 Forecast = 1.5017  Date_of_death = Mar2002 
 Forecast = 4.0000  Date_of_death = Mar2002 
 Forecast = 4.0000  Date_of_death = Feb2002 
 Forecast = 0.9990  Date_of_death = Feb2002 
 Forecast = 0.9990  Date_of_death = Jan2002 
 Forecast = 2.5008  Date_of_death = Jan2002 
 Forecast = 2.5008  Date_of_death = Dec2001 
 Forecast = 1.0010  Date_of_death = Dec2001 
 Forecast = 1.0010  Date_of_death = Nov2001 
 Forecast = 4.0001  Date_of_death = Nov2001 
 Forecast = 4.0001  Date_of_death = Oct2001 
 Forecast = 4.0002  Date_of_death = Oct2001 
 Forecast = 4.0002  Date_of_death = Sep2001 
 Forecast = 3.9993  Date_of_death = Sep2001 
 Forecast = 3.9993  Date_of_death = Aug2001 
 Forecast = 0.9995  Date_of_death = Aug2001 
 Forecast = 0.9995  Date_of_death = Jul2001 
 Forecast = 0.9992  Date_of_death = Jul2001 
 Forecast = 0.9992  Date_of_death = Jun2001 
 Forecast = 0.9998  Date_of_death = Jun2001 
 Forecast = 0.9998  Date_of_death = May2001 
 Forecast = 0.9998  Date_of_death = May2001 
 Forecast = 0.9998  Date_of_death = Apr2001 
 Forecast = 1.0000  Date_of_death = Apr2001 
 Forecast = 1.0000  Date_of_death = Mar2001 
 Forecast = 4.0001  Date_of_death = Mar2001 
 Forecast = 4.0001  Date_of_death = Feb2001 
 Forecast = 0.9991  Date_of_death = Feb2001 
 Forecast = 0.9991  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Sep2019 
 incidents = 2.0000  Date_of_death = Aug2019 
 incidents = 3.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 1.0000  Date_of_death = May2019 
 incidents = 3.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 4.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 4.0000  Date_of_death = Dec2018 
 incidents = 4.0000  Date_of_death = Nov2018 
 incidents = 1.0000  Date_of_death = Oct2018 
 incidents = 2.0000  Date_of_death = Sep2018 
 incidents = 2.0000  Date_of_death = Aug2018 
 incidents = 2.0000  Date_of_death = Jul2018 
 incidents = 3.0000  Date_of_death = Jun2018 
 incidents = 2.0000  Date_of_death = May2018 
 incidents = 3.0000  Date_of_death = Apr2018 
 incidents = 2.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 4.0000  Date_of_death = Dec2017 
 incidents = 4.0000  Date_of_death = Nov2017 
 incidents = 4.0000  Date_of_death = Oct2017 
 incidents = 1.0000  Date_of_death = Sep2017 
 incidents = 1.0000  Date_of_death = Aug2017 
 incidents = 4.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 4.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 1.0000  Date_of_death = Mar2017 
 incidents = 2.0000  Date_of_death = Feb2017 
 incidents = 2.0000  Date_of_death = Jan2017 
 incidents = 1.0000  Date_of_death = Dec2016 
 incidents = 4.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 4.0000  Date_of_death = Aug2016 
 incidents = 2.0000  Date_of_death = Jul2016 
 incidents = 2.0000  Date_of_death = Jun2016 
 incidents = 1.0000  Date_of_death = May2016 
 incidents = 2.0000  Date_of_death = Apr2016 
 incidents = 4.0000  Date_of_death = Mar2016 
 incidents = 4.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 2.0000  Date_of_death = Dec2015 
 incidents = 4.0000  Date_of_death = Nov2015 
 incidents = 4.0000  Date_of_death = Oct2015 
 incidents = 4.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 4.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 1.0000  Date_of_death = May2015 
 incidents = 1.0000  Date_of_death = Apr2015 
 incidents = 2.0000  Date_of_death = Mar2015 
 incidents = 2.0000  Date_of_death = Feb2015 
 incidents = 3.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 2.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 1.0000  Date_of_death = Sep2014 
 incidents = 1.0000  Date_of_death = Aug2014 
 incidents = 3.0000  Date_of_death = Jul2014 
 incidents = 2.0000  Date_of_death = Jun2014 
 incidents = 4.0000  Date_of_death = May2014 
 incidents = 2.0000  Date_of_death = Apr2014 
 incidents = 4.0000  Date_of_death = Mar2014 
 incidents = 1.0000  Date_of_death = Feb2014 
 incidents = 3.0000  Date_of_death = Jan2014 
 incidents = 4.0000  Date_of_death = Dec2013 
 incidents = 4.0000  Date_of_death = Nov2013 
 incidents = 2.0000  Date_of_death = Oct2013 
 incidents = 4.0000  Date_of_death = Sep2013 
 incidents = 2.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 4.0000  Date_of_death = May2013 
 incidents = 3.0000  Date_of_death = Apr2013 
 incidents = 2.0000  Date_of_death = Mar2013 
 incidents = 2.0000  Date_of_death = Feb2013 
 incidents = 4.0000  Date_of_death = Jan2013 
 incidents = 2.0000  Date_of_death = Dec2012 
 incidents = 1.0000  Date_of_death = Nov2012 
 incidents = 4.0000  Date_of_death = Oct2012 
 incidents = 2.0000  Date_of_death = Sep2012 
 incidents = 1.0000  Date_of_death = Aug2012 
 incidents = 1.0000  Date_of_death = Jul2012 
 incidents = 2.0000  Date_of_death = Jun2012 
 incidents = 4.0000  Date_of_death = May2012 
 incidents = 4.0000  Date_of_death = Apr2012 
 incidents = 4.0000  Date_of_death = Mar2012 
 incidents = 2.0000  Date_of_death = Feb2012 
 incidents = 2.0000  Date_of_death = Jan2012 
 incidents = 4.0000  Date_of_death = Dec2011 
 incidents = 4.0000  Date_of_death = Nov2011 
 incidents = 3.0000  Date_of_death = Oct2011 
 incidents = 4.0000  Date_of_death = Sep2011 
 incidents = 2.0000  Date_of_death = Aug2011 
 incidents = 4.0000  Date_of_death = Jul2011 
 incidents = 1.0000  Date_of_death = Jun2011 
 incidents = 1.0000  Date_of_death = May2011 
 incidents = 1.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 4.0000  Date_of_death = Feb2011 
 incidents = 2.0000  Date_of_death = Jan2011 
 incidents = 2.0000  Date_of_death = Dec2010 
 incidents = 2.0000  Date_of_death = Nov2010 
 incidents = 2.0000  Date_of_death = Oct2010 
 incidents = 2.0000  Date_of_death = Sep2010 
 incidents = 4.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 1.0000  Date_of_death = May2010 
 incidents = 4.0000  Date_of_death = Apr2010 
 incidents = 3.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 3.0000  Date_of_death = Dec2009 
 incidents = 1.0000  Date_of_death = Nov2009 
 incidents = 2.0000  Date_of_death = Oct2009 
 incidents = 1.0000  Date_of_death = Sep2009 
 incidents = 1.0000  Date_of_death = Aug2009 
 incidents = 1.0000  Date_of_death = Jul2009 
 incidents = 4.0000  Date_of_death = Jun2009 
 incidents = 2.0000  Date_of_death = May2009 
 incidents = 2.0000  Date_of_death = Apr2009 
 incidents = 2.0000  Date_of_death = Mar2009 
 incidents = 4.0000  Date_of_death = Feb2009 
 incidents = 4.0000  Date_of_death = Jan2009 
 incidents = 1.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 1.0000  Date_of_death = Sep2008 
 incidents = 1.0000  Date_of_death = Aug2008 
 incidents = 2.0000  Date_of_death = Jul2008 
 incidents = 4.0000  Date_of_death = Jun2008 
 incidents = 2.0000  Date_of_death = May2008 
 incidents = 4.0000  Date_of_death = Apr2008 
 incidents = 1.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 4.0000  Date_of_death = Dec2007 
 incidents = 2.0000  Date_of_death = Nov2007 
 incidents = 3.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 1.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 2.0000  Date_of_death = May2007 
 incidents = 4.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 4.0000  Date_of_death = Feb2007 
 incidents = 1.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 2.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 1.0000  Date_of_death = Aug2006 
 incidents = 1.0000  Date_of_death = Jul2006 
 incidents = 4.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 4.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 4.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 2.0000  Date_of_death = Oct2005 
 incidents = 1.0000  Date_of_death = Sep2005 
 incidents = 2.0000  Date_of_death = Aug2005 
 incidents = 4.0000  Date_of_death = Jul2005 
 incidents = 4.0000  Date_of_death = Jun2005 
 incidents = 1.0000  Date_of_death = May2005 
 incidents = 2.0000  Date_of_death = Apr2005 
 incidents = 4.0000  Date_of_death = Mar2005 
 incidents = 4.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 4.0000  Date_of_death = Jul2004 
 incidents = 1.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 1.0000  Date_of_death = Mar2004 
 incidents = 3.0000  Date_of_death = Feb2004 
 incidents = 4.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 2.0000  Date_of_death = Oct2003 
 incidents = 4.0000  Date_of_death = Sep2003 
 incidents = 4.0000  Date_of_death = Aug2003 
 incidents = 4.0000  Date_of_death = Jul2003 
 incidents = 4.0000  Date_of_death = Jun2003 
 incidents = 2.0000  Date_of_death = May2003 
 incidents = 1.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 2.0000  Date_of_death = Feb2003 
 incidents = 2.0000  Date_of_death = Jan2003 
 incidents = 1.0000  Date_of_death = Dec2002 
 incidents = 4.0000  Date_of_death = Nov2002 
 incidents = 2.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 1.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 1.0000  Date_of_death = May2002 
 incidents = 1.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 4.0000  Date_of_death = Dec2001 
 incidents = 2.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 4.0000  Date_of_death = Sep2001 
 incidents = 4.0000  Date_of_death = Aug2001 
 incidents = 4.0000  Date_of_death = Jul2001 
 incidents = 3.0000  Date_of_death = Jun2001 
 incidents = 4.0000  Date_of_death = May2001 
 incidents = 2.0000  Date_of_death = Apr2001 
 incidents = 2.0000  Date_of_death = Mar2001 
 incidents = 4.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Jan2001 
 incidents = 4.0000  Date_of_death = Sep2020 
 Upper 95% = 4.5626 
 Lower 95% = -0.5851  Date_of_death = Aug2020 
 Upper 95% = 5.0071 
 Lower 95% = -0.1405  Date_of_death = Aug2020 
 Upper 95% = 5.0071 
 Lower 95% = -0.1405  Date_of_death = Jul2020 
 Upper 95% = 4.8352 
 Lower 95% = -0.3124  Date_of_death = Jul2020 
 Upper 95% = 4.8352 
 Lower 95% = -0.3124  Date_of_death = Jun2020 
 Upper 95% = 4.6489 
 Lower 95% = -0.4988  Date_of_death = Jun2020 
 Upper 95% = 4.6489 
 Lower 95% = -0.4988  Date_of_death = May2020 
 Upper 95% = 4.8708 
 Lower 95% = -0.2768  Date_of_death = May2020 
 Upper 95% = 4.8708 
 Lower 95% = -0.2768  Date_of_death = Apr2020 
 Upper 95% = 4.5937 
 Lower 95% = -0.5539  Date_of_death = Apr2020 
 Upper 95% = 4.5937 
 Lower 95% = -0.5539  Date_of_death = Mar2020 
 Upper 95% = 5.2464 
 Lower 95% = 0.0988  Date_of_death = Mar2020 
 Upper 95% = 5.2464 
 Lower 95% = 0.0988  Date_of_death = Feb2020 
 Upper 95% = 4.5856 
 Lower 95% = -0.5620  Date_of_death = Feb2020 
 Upper 95% = 4.5856 
 Lower 95% = -0.5620  Date_of_death = Jan2020 
 Upper 95% = 5.1728 
 Lower 95% = 0.0251  Date_of_death = Jan2020 
 Upper 95% = 5.1728 
 Lower 95% = 0.0251  Date_of_death = Dec2019 
 Upper 95% = 5.1328 
 Lower 95% = -0.0203  Date_of_death = Dec2019 
 Upper 95% = 5.1328 
 Lower 95% = -0.0203  Date_of_death = Nov2019 
 Upper 95% = 4.9371 
 Lower 95% = -0.2160  Date_of_death = Nov2019 
 Upper 95% = 4.9371 
 Lower 95% = -0.2160  Date_of_death = Oct2019 
 Upper 95% = 4.6792 
 Lower 95% = -0.4739
Forecast Plot

County=Philadelphia

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 APR2019 232 0 1.00000 5.00000 3.32328 1.81475

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 APR2019 232 0 1.00000 5.00000 3.32328 1.81475

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.62329
Level Error Variance 0.98373
Season Error Variance 3.34087

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -462.1
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 232
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 220
AIC (smaller is better) 930.2
BIC (smaller is better) 940.38
AICC (smaller is better) 930.31
HQIC (smaller is better) 934.31
CAIC (smaller is better) 943.38
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.12513 0.30501 10.25 <.0001
Level Error Variance 0.00819 0.0068290 1.20 0.2302
Season Error Variance 1.104823E-7 0.00006733 0.00 0.9987

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 220
Mean Squared Error 3.90958
Root Mean Squared Error 1.97727
Mean Absolute Percentage Error 97.13664
Maximum Percent Error 81.43832
R-Square -0.19042
Adjusted R-Square -0.20139
Random Walk R-Square 0.37123
Amemiya's Adjusted R-Square -0.22333

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 27.52 <.0001
Level 1 93.64 <.0001
Season 11 6.80 0.8149

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.826927089 0.3954652

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 1.104823E-7

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 6.5086 
 Percent = 0.0165  Prediction Error = 6.4445 
 Percent = 0.0198  Prediction Error = 6.4445 
 Percent = 0.0198  Prediction Error = 6.3804 
 Percent = 0.0236  Prediction Error = 6.3804 
 Percent = 0.0236  Prediction Error = 6.3163 
 Percent = 0.028  Prediction Error = 6.3163 
 Percent = 0.028  Prediction Error = 6.2521 
 Percent = 0.0332  Prediction Error = 6.2521 
 Percent = 0.0332  Prediction Error = 6.188 
 Percent = 0.0392  Prediction Error = 6.188 
 Percent = 0.0392  Prediction Error = 6.1239 
 Percent = 0.0461  Prediction Error = 6.1239 
 Percent = 0.0461  Prediction Error = 6.0598 
 Percent = 0.0541  Prediction Error = 6.0598 
 Percent = 0.0541  Prediction Error = 5.9956 
 Percent = 0.0632  Prediction Error = 5.9956 
 Percent = 0.0632  Prediction Error = 5.9315 
 Percent = 0.0737  Prediction Error = 5.9315 
 Percent = 0.0737  Prediction Error = 5.8674 
 Percent = 0.0858  Prediction Error = 5.8674 
 Percent = 0.0858  Prediction Error = 5.8033 
 Percent = 0.0995  Prediction Error = 5.8033 
 Percent = 0.0995  Prediction Error = 5.7391 
 Percent = 0.1151  Prediction Error = 5.7391 
 Percent = 0.1151  Prediction Error = 5.675 
 Percent = 0.1328  Prediction Error = 5.675 
 Percent = 0.1328  Prediction Error = 5.6109 
 Percent = 0.1529  Prediction Error = 5.6109 
 Percent = 0.1529  Prediction Error = 5.5468 
 Percent = 0.1757  Prediction Error = 5.5468 
 Percent = 0.1757  Prediction Error = 5.4826 
 Percent = 0.2013  Prediction Error = 5.4826 
 Percent = 0.2013  Prediction Error = 5.4185 
 Percent = 0.2303  Prediction Error = 5.4185 
 Percent = 0.2303  Prediction Error = 5.3544 
 Percent = 0.2628  Prediction Error = 5.3544 
 Percent = 0.2628  Prediction Error = 5.2903 
 Percent = 0.2994  Prediction Error = 5.2903 
 Percent = 0.2994  Prediction Error = 5.2261 
 Percent = 0.3404  Prediction Error = 5.2261 
 Percent = 0.3404  Prediction Error = 5.162 
 Percent = 0.3863  Prediction Error = 5.162 
 Percent = 0.3863  Prediction Error = 5.0979 
 Percent = 0.4377  Prediction Error = 5.0979 
 Percent = 0.4377  Prediction Error = 5.0338 
 Percent = 0.495  Prediction Error = 5.0338 
 Percent = 0.495  Prediction Error = 4.9697 
 Percent = 0.5589  Prediction Error = 4.9697 
 Percent = 0.5589  Prediction Error = 4.9055 
 Percent = 0.6301  Prediction Error = 4.9055 
 Percent = 0.6301  Prediction Error = 4.8414 
 Percent = 0.7091  Prediction Error = 4.8414 
 Percent = 0.7091  Prediction Error = 4.7773 
 Percent = 0.7967  Prediction Error = 4.7773 
 Percent = 0.7967  Prediction Error = 4.7132 
 Percent = 0.8938  Prediction Error = 4.7132 
 Percent = 0.8938  Prediction Error = 4.649 
 Percent = 1.0011  Prediction Error = 4.649 
 Percent = 1.0011  Prediction Error = 4.5849 
 Percent = 1.1194  Prediction Error = 4.5849 
 Percent = 1.1194  Prediction Error = 4.5208 
 Percent = 1.2497  Prediction Error = 4.5208 
 Percent = 1.2497  Prediction Error = 4.4567 
 Percent = 1.3928  Prediction Error = 4.4567 
 Percent = 1.3928  Prediction Error = 4.3925 
 Percent = 1.5497  Prediction Error = 4.3925 
 Percent = 1.5497  Prediction Error = 4.3284 
 Percent = 1.7212  Prediction Error = 4.3284 
 Percent = 1.7212  Prediction Error = 4.2643 
 Percent = 1.9082  Prediction Error = 4.2643 
 Percent = 1.9082  Prediction Error = 4.2002 
 Percent = 2.1117  Prediction Error = 4.2002 
 Percent = 2.1117  Prediction Error = 4.136 
 Percent = 2.3324  Prediction Error = 4.136 
 Percent = 2.3324  Prediction Error = 4.0719 
 Percent = 2.5712  Prediction Error = 4.0719 
 Percent = 2.5712  Prediction Error = 4.0078 
 Percent = 2.8288  Prediction Error = 4.0078 
 Percent = 2.8288  Prediction Error = 3.9437 
 Percent = 3.1057  Prediction Error = 3.9437 
 Percent = 3.1057  Prediction Error = 3.8795 
 Percent = 3.4025  Prediction Error = 3.8795 
 Percent = 3.4025  Prediction Error = 3.8154 
 Percent = 3.7197  Prediction Error = 3.8154 
 Percent = 3.7197  Prediction Error = 3.7513 
 Percent = 4.0573  Prediction Error = 3.7513 
 Percent = 4.0573  Prediction Error = 3.6872 
 Percent = 4.4155  Prediction Error = 3.6872 
 Percent = 4.4155  Prediction Error = 3.623 
 Percent = 4.7942  Prediction Error = 3.623 
 Percent = 4.7942  Prediction Error = 3.5589 
 Percent = 5.1931  Prediction Error = 3.5589 
 Percent = 5.1931  Prediction Error = 3.4948 
 Percent = 5.6115  Prediction Error = 3.4948 
 Percent = 5.6115  Prediction Error = 3.4307 
 Percent = 6.0488  Prediction Error = 3.4307 
 Percent = 6.0488  Prediction Error = 3.3666 
 Percent = 6.504  Prediction Error = 3.3666 
 Percent = 6.504  Prediction Error = 3.3024 
 Percent = 6.9757  Prediction Error = 3.3024 
 Percent = 6.9757  Prediction Error = 3.1742 
 Percent = 7.9628  Prediction Error = 3.1742 
 Percent = 7.9628  Prediction Error = 2.8536 
 Percent = 10.587  Prediction Error = 2.8536 
 Percent = 10.587  Prediction Error = 2.6612 
 Percent = 12.162  Prediction Error = 2.6612 
 Percent = 12.162  Prediction Error = 2.5329 
 Percent = 13.162  Prediction Error = 2.5329 
 Percent = 13.162  Prediction Error = 2.4688 
 Percent = 13.636  Prediction Error = 2.4688 
 Percent = 13.636  Prediction Error = 2.4047 
 Percent = 14.09  Prediction Error = 2.4047 
 Percent = 14.09  Prediction Error = 2.3406 
 Percent = 14.52  Prediction Error = 2.3406 
 Percent = 14.52  Prediction Error = 2.2764 
 Percent = 14.924  Prediction Error = 2.2764 
 Percent = 14.924  Prediction Error = 2.2123 
 Percent = 15.297  Prediction Error = 2.2123 
 Percent = 15.297  Prediction Error = 2.1482 
 Percent = 15.64  Prediction Error = 2.1482 
 Percent = 15.64  Prediction Error = 2.0841 
 Percent = 15.948  Prediction Error = 2.0841 
 Percent = 15.948  Prediction Error = 2.0199 
 Percent = 16.221  Prediction Error = 2.0199 
 Percent = 16.221  Prediction Error = 1.9558 
 Percent = 16.456  Prediction Error = 1.9558 
 Percent = 16.456  Prediction Error = 1.8917 
 Percent = 16.654  Prediction Error = 1.8917 
 Percent = 16.654  Prediction Error = 1.8276 
 Percent = 16.812  Prediction Error = 1.8276 
 Percent = 16.812  Prediction Error = 1.7635 
 Percent = 16.932  Prediction Error = 1.7635 
 Percent = 16.932  Prediction Error = 1.6993 
 Percent = 17.013  Prediction Error = 1.6993 
 Percent = 17.013  Prediction Error = 1.6352 
 Percent = 17.055  Prediction Error = 1.6352 
 Percent = 17.055  Prediction Error = 1.5711 
 Percent = 17.061  Prediction Error = 1.5711 
 Percent = 17.061  Prediction Error = 1.507 
 Percent = 17.03  Prediction Error = 1.507 
 Percent = 17.03  Prediction Error = 1.4428 
 Percent = 16.965  Prediction Error = 1.4428 
 Percent = 16.965  Prediction Error = 1.3787 
 Percent = 16.868  Prediction Error = 1.3787 
 Percent = 16.868  Prediction Error = 1.3146 
 Percent = 16.741  Prediction Error = 1.3146 
 Percent = 16.741  Prediction Error = 1.2505 
 Percent = 16.588  Prediction Error = 1.2505 
 Percent = 16.588  Prediction Error = 1.1863 
 Percent = 16.409  Prediction Error = 1.1863 
 Percent = 16.409  Prediction Error = 1.1222 
 Percent = 16.21  Prediction Error = 1.1222 
 Percent = 16.21  Prediction Error = 1.0581 
 Percent = 15.993  Prediction Error = 1.0581 
 Percent = 15.993  Prediction Error = 0.994 
 Percent = 15.761  Prediction Error = 0.994 
 Percent = 15.761  Prediction Error = 0.6733 
 Percent = 14.497  Prediction Error = 0.6733 
 Percent = 14.497  Prediction Error = 0.5451 
 Percent = 14.001  Prediction Error = 0.5451 
 Percent = 14.001  Prediction Error = 0.481 
 Percent = 13.767  Prediction Error = 0.481 
 Percent = 13.767  Prediction Error = 0.4168 
 Percent = 13.544  Prediction Error = 0.4168 
 Percent = 13.544  Prediction Error = 0.3527 
 Percent = 13.335  Prediction Error = 0.3527 
 Percent = 13.335  Prediction Error = 0.2886 
 Percent = 13.143  Prediction Error = 0.2886 
 Percent = 13.143  Prediction Error = 0.2245 
 Percent = 12.967  Prediction Error = 0.2245 
 Percent = 12.967  Prediction Error = 0.1603 
 Percent = 12.81  Prediction Error = 0.1603 
 Percent = 12.81  Prediction Error = 0.0962 
 Percent = 12.673  Prediction Error = 0.0962 
 Percent = 12.673  Prediction Error = 0.0321 
 Percent = 12.556  Prediction Error = 0.0321 
 Percent = 12.556  Prediction Error = -0.032 
 Percent = 12.46  Prediction Error = -0.032 
 Percent = 12.46  Prediction Error = -0.096 
 Percent = 12.385  Prediction Error = -0.096 
 Percent = 12.385  Prediction Error = -0.16 
 Percent = 12.331  Prediction Error = -0.16 
 Percent = 12.331  Prediction Error = -0.224 
 Percent = 12.298  Prediction Error = -0.224 
 Percent = 12.298  Prediction Error = -0.289 
 Percent = 12.284  Prediction Error = -0.289 
 Percent = 12.284  Prediction Error = -0.353 
 Percent = 12.291  Prediction Error = -0.353 
 Percent = 12.291  Prediction Error = -0.417 
 Percent = 12.316  Prediction Error = -0.417 
 Percent = 12.316  Prediction Error = -0.481 
 Percent = 12.359  Prediction Error = -0.481 
 Percent = 12.359  Prediction Error = -0.545 
 Percent = 12.419  Prediction Error = -0.545 
 Percent = 12.419  Prediction Error = -0.609 
 Percent = 12.493  Prediction Error = -0.609 
 Percent = 12.493  Prediction Error = -0.673 
 Percent = 12.582  Prediction Error = -0.673 
 Percent = 12.582  Prediction Error = -0.737 
 Percent = 12.682  Prediction Error = -0.737 
 Percent = 12.682  Prediction Error = -0.802 
 Percent = 12.792  Prediction Error = -0.802 
 Percent = 12.792  Prediction Error = -1.186 
 Percent = 13.557  Prediction Error = -1.186 
 Percent = 13.557  Prediction Error = -1.25 
 Percent = 13.682  Prediction Error = -1.25 
 Percent = 13.682  Prediction Error = -1.315 
 Percent = 13.799  Prediction Error = -1.315 
 Percent = 13.799  Prediction Error = -1.379 
 Percent = 13.908  Prediction Error = -1.379 
 Percent = 13.908  Prediction Error = -1.443 
 Percent = 14.006  Prediction Error = -1.443 
 Percent = 14.006  Prediction Error = -1.507 
 Percent = 14.091  Prediction Error = -1.507 
 Percent = 14.091  Prediction Error = -1.571 
 Percent = 14.161  Prediction Error = -1.571 
 Percent = 14.161  Prediction Error = -1.635 
 Percent = 14.213  Prediction Error = -1.635 
 Percent = 14.213  Prediction Error = -1.699 
 Percent = 14.247  Prediction Error = -1.699 
 Percent = 14.247  Prediction Error = -1.763 
 Percent = 14.26  Prediction Error = -1.763 
 Percent = 14.26  Prediction Error = -1.827 
 Percent = 14.252  Prediction Error = -1.827 
 Percent = 14.252  Prediction Error = -1.892 
 Percent = 14.22  Prediction Error = -1.892 
 Percent = 14.22  Prediction Error = -1.956 
 Percent = 14.165  Prediction Error = -1.956 
 Percent = 14.165  Prediction Error = -2.02 
 Percent = 14.084  Prediction Error = -2.02 
 Percent = 14.084  Prediction Error = -2.084 
 Percent = 13.978  Prediction Error = -2.084 
 Percent = 13.978  Prediction Error = -2.148 
 Percent = 13.846  Prediction Error = -2.148 
 Percent = 13.846  Prediction Error = -2.212 
 Percent = 13.688  Prediction Error = -2.212 
 Percent = 13.688  Prediction Error = -2.276 
 Percent = 13.504  Prediction Error = -2.276 
 Percent = 13.504  Prediction Error = -2.34 
 Percent = 13.295  Prediction Error = -2.34 
 Percent = 13.295  Prediction Error = -2.405 
 Percent = 13.062  Prediction Error = -2.405 
 Percent = 13.062  Prediction Error = -2.469 
 Percent = 12.805  Prediction Error = -2.469 
 Percent = 12.805  Prediction Error = -2.533 
 Percent = 12.525  Prediction Error = -2.533 
 Percent = 12.525  Prediction Error = -2.597 
 Percent = 12.225  Prediction Error = -2.597 
 Percent = 12.225  Prediction Error = -2.661 
 Percent = 11.904  Prediction Error = -2.661 
 Percent = 11.904  Prediction Error = -2.725 
 Percent = 11.566  Prediction Error = -2.725 
 Percent = 11.566  Prediction Error = -2.789 
 Percent = 11.212  Prediction Error = -2.789 
 Percent = 11.212  Prediction Error = -3.431 
 Percent = 7.2494  Prediction Error = -3.431 
 Percent = 7.2494  Prediction Error = -3.559 
 Percent = 6.4704  Prediction Error = -3.559 
 Percent = 6.4704  Prediction Error = -3.687 
 Percent = 5.7272  Prediction Error = -3.687 
 Percent = 5.7272  Prediction Error = -3.751 
 Percent = 5.372  Prediction Error = -3.751 
 Percent = 5.372  Prediction Error = -3.815 
 Percent = 5.0288  Prediction Error = -3.815 
 Percent = 5.0288  Prediction Error = -3.879 
 Percent = 4.6984  Prediction Error = -3.879 
 Percent = 4.6984  Prediction Error = -3.944 
 Percent = 4.3812  Prediction Error = -3.944 
 Percent = 4.3812  Prediction Error = -4.008 
 Percent = 4.0778  Prediction Error = -4.008 
 Percent = 4.0778  Prediction Error = -4.072 
 Percent = 3.7883  Prediction Error = -4.072 
 Percent = 3.7883  Prediction Error = -4.136 
 Percent = 3.5129  Prediction Error = -4.136 
 Percent = 3.5129  Prediction Error = -4.2 
 Percent = 3.2515  Prediction Error = -4.2 
 Percent = 3.2515  Prediction Error = -4.264 
 Percent = 3.0041  Prediction Error = -4.264 
 Percent = 3.0041  Prediction Error = -4.328 
 Percent = 2.7704  Prediction Error = -4.328 
 Percent = 2.7704  Prediction Error = -4.392 
 Percent = 2.5503  Prediction Error = -4.392 
 Percent = 2.5503  Prediction Error = -4.457 
 Percent = 2.3433  Prediction Error = -4.457 
 Percent = 2.3433  Prediction Error = -4.521 
 Percent = 2.1491  Prediction Error = -4.521 
 Percent = 2.1491  Prediction Error = -4.585 
 Percent = 1.9674  Prediction Error = -4.585 
 Percent = 1.9674  Prediction Error = -4.649 
 Percent = 1.7975  Prediction Error = -4.649 
 Percent = 1.7975  Prediction Error = -4.713 
 Percent = 1.6391  Prediction Error = -4.713 
 Percent = 1.6391  Prediction Error = -4.777 
 Percent = 1.4917  Prediction Error = -4.777 
 Percent = 1.4917  Prediction Error = -4.841 
 Percent = 1.3547  Prediction Error = -4.841 
 Percent = 1.3547  Prediction Error = -4.905 
 Percent = 1.2277  Prediction Error = -4.905 
 Percent = 1.2277  Prediction Error = -4.97 
 Percent = 1.1102  Prediction Error = -4.97 
 Percent = 1.1102  Prediction Error = -5.034 
 Percent = 1.0017  Prediction Error = -5.034 
 Percent = 1.0017  Prediction Error = -5.098 
 Percent = 0.9017  Prediction Error = -5.098 
 Percent = 0.9017  Prediction Error = -5.162 
 Percent = 0.8098  Prediction Error = -5.162 
 Percent = 0.8098  Prediction Error = -5.226 
 Percent = 0.7254  Prediction Error = -5.226 
 Percent = 0.7254  Prediction Error = -5.29 
 Percent = 0.6481  Prediction Error = -5.29 
 Percent = 0.6481  Prediction Error = -5.354 
 Percent = 0.5776  Prediction Error = -5.354 
 Percent = 0.5776  Prediction Error = -5.418 
 Percent = 0.5134  Prediction Error = -5.418 
 Percent = 0.5134  Prediction Error = -5.483 
 Percent = 0.455  Prediction Error = -5.483 
 Percent = 0.455  Prediction Error = -5.547 
 Percent = 0.4021  Prediction Error = -5.547 
 Percent = 0.4021  Prediction Error = -5.611 
 Percent = 0.3543  Prediction Error = -5.611 
 Percent = 0.3543  Prediction Error = -5.675 
 Percent = 0.3112  Prediction Error = -5.675 
 Percent = 0.3112  Prediction Error = -5.739 
 Percent = 0.2726  Prediction Error = -5.739 
 Percent = 0.2726  Prediction Error = -5.803 
 Percent = 0.2379  Prediction Error = -5.803 
 Percent = 0.2379  Prediction Error = -5.867 
 Percent = 0.207  Prediction Error = -5.867 
 Percent = 0.207  Prediction Error = -5.931 
 Percent = 0.1796  Prediction Error = -5.931 
 Percent = 0.1796  Prediction Error = -5.996 
 Percent = 0.1552  Prediction Error = -5.996 
 Percent = 0.1552  Prediction Error = -6.06 
 Percent = 0.1337  Prediction Error = -6.06 
 Percent = 0.1337  Prediction Error = -6.124 
 Percent = 0.1147  Prediction Error = -6.124 
 Percent = 0.1147  Prediction Error = -6.188 
 Percent = 0.0981  Prediction Error = -6.188 
 Percent = 0.0981  Prediction Error = -6.252 
 Percent = 0.0836  Prediction Error = -6.252 
 Percent = 0.0836  Prediction Error = -6.316 
 Percent = 0.071  Prediction Error = -6.316 
 Percent = 0.071  Prediction Error = -6.38 
 Percent = 0.0601  Prediction Error = -6.38 
 Percent = 0.0601  Prediction Error = -6.444 
 Percent = 0.0506  Prediction Error = -6.444 
 Percent = 0.0506  Prediction Error = -6.509 
 Percent = 0.0425  Prediction Error = -6.509 
 Percent = 0.0425  Prediction Error = -6.573 
 Percent = 0.0356  Prediction Error = 5.9143 
 Percent = 0.2237  Prediction Error = 5.8542 
 Percent = 0.2448  Prediction Error = 5.8542 
 Percent = 0.2448  Prediction Error = 5.7942 
 Percent = 0.2678  Prediction Error = 5.7942 
 Percent = 0.2678  Prediction Error = 5.7341 
 Percent = 0.2926  Prediction Error = 5.7341 
 Percent = 0.2926  Prediction Error = 5.6741 
 Percent = 0.3194  Prediction Error = 5.6741 
 Percent = 0.3194  Prediction Error = 5.614 
 Percent = 0.3483  Prediction Error = 5.614 
 Percent = 0.3483  Prediction Error = 5.554 
 Percent = 0.3796  Prediction Error = 5.554 
 Percent = 0.3796  Prediction Error = 5.4939 
 Percent = 0.4132  Prediction Error = 5.4939 
 Percent = 0.4132  Prediction Error = 5.4339 
 Percent = 0.4494  Prediction Error = 5.4339 
 Percent = 0.4494  Prediction Error = 5.3738 
 Percent = 0.4884  Prediction Error = 5.3738 
 Percent = 0.4884  Prediction Error = 5.3138 
 Percent = 0.5302  Prediction Error = 5.3138 
 Percent = 0.5302  Prediction Error = 5.2538 
 Percent = 0.5751  Prediction Error = 5.2538 
 Percent = 0.5751  Prediction Error = 5.1937 
 Percent = 0.6232  Prediction Error = 5.1937 
 Percent = 0.6232  Prediction Error = 5.1337 
 Percent = 0.6747  Prediction Error = 5.1337 
 Percent = 0.6747  Prediction Error = 5.0736 
 Percent = 0.7299  Prediction Error = 5.0736 
 Percent = 0.7299  Prediction Error = 5.0136 
 Percent = 0.7887  Prediction Error = 5.0136 
 Percent = 0.7887  Prediction Error = 4.9535 
 Percent = 0.8516  Prediction Error = 4.9535 
 Percent = 0.8516  Prediction Error = 4.8935 
 Percent = 0.9186  Prediction Error = 4.8935 
 Percent = 0.9186  Prediction Error = 4.8334 
 Percent = 0.99  Prediction Error = 4.8334 
 Percent = 0.99  Prediction Error = 4.7734 
 Percent = 1.066  Prediction Error = 4.7734 
 Percent = 1.066  Prediction Error = 4.7133 
 Percent = 1.1467  Prediction Error = 4.7133 
 Percent = 1.1467  Prediction Error = 4.6533 
 Percent = 1.2324  Prediction Error = 4.6533 
 Percent = 1.2324  Prediction Error = 4.5932 
 Percent = 1.3233  Prediction Error = 4.5932 
 Percent = 1.3233  Prediction Error = 4.5332 
 Percent = 1.4196  Prediction Error = 4.5332 
 Percent = 1.4196  Prediction Error = 4.4731 
 Percent = 1.5215  Prediction Error = 4.4731 
 Percent = 1.5215  Prediction Error = 4.4131 
 Percent = 1.6293  Prediction Error = 4.4131 
 Percent = 1.6293  Prediction Error = 4.3531 
 Percent = 1.743  Prediction Error = 4.3531 
 Percent = 1.743  Prediction Error = 4.293 
 Percent = 1.863  Prediction Error = 4.293 
 Percent = 1.863  Prediction Error = 4.233 
 Percent = 1.9894  Prediction Error = 4.233 
 Percent = 1.9894  Prediction Error = 4.1729 
 Percent = 2.1225  Prediction Error = 4.1729 
 Percent = 2.1225  Prediction Error = 4.1129 
 Percent = 2.2624  Prediction Error = 4.1129 
 Percent = 2.2624  Prediction Error = 4.0528 
 Percent = 2.4092  Prediction Error = 4.0528 
 Percent = 2.4092  Prediction Error = 3.9928 
 Percent = 2.5633  Prediction Error = 3.9928 
 Percent = 2.5633  Prediction Error = 3.9327 
 Percent = 2.7247  Prediction Error = 3.9327 
 Percent = 2.7247  Prediction Error = 3.8727 
 Percent = 2.8936  Prediction Error = 3.8727 
 Percent = 2.8936  Prediction Error = 3.8126 
 Percent = 3.0702  Prediction Error = 3.8126 
 Percent = 3.0702  Prediction Error = 3.7526 
 Percent = 3.2545  Prediction Error = 3.7526 
 Percent = 3.2545  Prediction Error = 3.6925 
 Percent = 3.4468  Prediction Error = 3.6925 
 Percent = 3.4468  Prediction Error = 3.6325 
 Percent = 3.647  Prediction Error = 3.6325 
 Percent = 3.647  Prediction Error = 3.5724 
 Percent = 3.8554  Prediction Error = 3.5724 
 Percent = 3.8554  Prediction Error = 3.5124 
 Percent = 4.0719  Prediction Error = 3.5124 
 Percent = 4.0719  Prediction Error = 3.4523 
 Percent = 4.2966  Prediction Error = 3.4523 
 Percent = 4.2966  Prediction Error = 3.3923 
 Percent = 4.5295  Prediction Error = 3.3923 
 Percent = 4.5295  Prediction Error = 3.3323 
 Percent = 4.7707  Prediction Error = 3.3323 
 Percent = 4.7707  Prediction Error = 3.2722 
 Percent = 5.0202  Prediction Error = 3.2722 
 Percent = 5.0202  Prediction Error = 3.2122 
 Percent = 5.2778  Prediction Error = 3.2122 
 Percent = 5.2778  Prediction Error = 3.0921 
 Percent = 5.8174  Prediction Error = 3.0921 
 Percent = 5.8174  Prediction Error = 2.972 
 Percent = 6.3886  Prediction Error = 2.972 
 Percent = 6.3886  Prediction Error = 2.8519 
 Percent = 6.9902  Prediction Error = 2.8519 
 Percent = 6.9902  Prediction Error = 2.7318 
 Percent = 7.6204  Prediction Error = 2.7318 
 Percent = 7.6204  Prediction Error = 2.6117 
 Percent = 8.2769  Prediction Error = 2.6117 
 Percent = 8.2769  Prediction Error = 1.711 
 Percent = 13.684  Prediction Error = 1.711 
 Percent = 13.684  Prediction Error = 1.5309 
 Percent = 14.761  Prediction Error = 1.5309 
 Percent = 14.761  Prediction Error = 1.4108 
 Percent = 15.454  Prediction Error = 1.4108 
 Percent = 15.454  Prediction Error = 1.2907 
 Percent = 16.121  Prediction Error = 1.2907 
 Percent = 16.121  Prediction Error = 1.1706 
 Percent = 16.755  Prediction Error = 1.1706 
 Percent = 16.755  Prediction Error = 1.1105 
 Percent = 17.058  Prediction Error = 1.1105 
 Percent = 17.058  Prediction Error = 1.0505 
 Percent = 17.35  Prediction Error = 1.0505 
 Percent = 17.35  Prediction Error = 0.9904 
 Percent = 17.631  Prediction Error = 0.9904 
 Percent = 17.631  Prediction Error = 0.9304 
 Percent = 17.9  Prediction Error = 0.9304 
 Percent = 17.9  Prediction Error = 0.8703 
 Percent = 18.157  Prediction Error = 0.8703 
 Percent = 18.157  Prediction Error = 0.8103 
 Percent = 18.4  Prediction Error = 0.8103 
 Percent = 18.4  Prediction Error = 0.7502 
 Percent = 18.63  Prediction Error = 0.7502 
 Percent = 18.63  Prediction Error = 0.6902 
 Percent = 18.845  Prediction Error = 0.6902 
 Percent = 18.845  Prediction Error = 0.6302 
 Percent = 19.045  Prediction Error = 0.6302 
 Percent = 19.045  Prediction Error = 0.5701 
 Percent = 19.229  Prediction Error = 0.5701 
 Percent = 19.229  Prediction Error = 0.5101 
 Percent = 19.398  Prediction Error = 0.5101 
 Percent = 19.398  Prediction Error = 0.45 
 Percent = 19.55  Prediction Error = 0.45 
 Percent = 19.55  Prediction Error = 0.39 
 Percent = 19.685  Prediction Error = 0.39 
 Percent = 19.685  Prediction Error = 0.3299 
 Percent = 19.803  Prediction Error = 0.3299 
 Percent = 19.803  Prediction Error = 0.2699 
 Percent = 19.903  Prediction Error = 0.2699 
 Percent = 19.903  Prediction Error = 0.2098 
 Percent = 19.986  Prediction Error = 0.2098 
 Percent = 19.986  Prediction Error = 0.1498 
 Percent = 20.05  Prediction Error = 0.1498 
 Percent = 20.05  Prediction Error = 0.0897 
 Percent = 20.096  Prediction Error = 0.0897 
 Percent = 20.096  Prediction Error = 0.0297 
 Percent = 20.124  Prediction Error = 0.0297 
 Percent = 20.124  Prediction Error = -0.03 
 Percent = 20.133  Prediction Error = -0.03 
 Percent = 20.133  Prediction Error = -0.09 
 Percent = 20.124  Prediction Error = -0.09 
 Percent = 20.124  Prediction Error = -0.15 
 Percent = 20.096  Prediction Error = -0.15 
 Percent = 20.096  Prediction Error = -0.21 
 Percent = 20.05  Prediction Error = -0.21 
 Percent = 20.05  Prediction Error = -0.271 
 Percent = 19.986  Prediction Error = -0.271 
 Percent = 19.986  Prediction Error = -0.331 
 Percent = 19.903  Prediction Error = -0.331 
 Percent = 19.903  Prediction Error = -0.391 
 Percent = 19.803  Prediction Error = -0.391 
 Percent = 19.803  Prediction Error = -0.451 
 Percent = 19.685  Prediction Error = -0.451 
 Percent = 19.685  Prediction Error = -0.511 
 Percent = 19.55  Prediction Error = -0.511 
 Percent = 19.55  Prediction Error = -0.571 
 Percent = 19.398  Prediction Error = -0.571 
 Percent = 19.398  Prediction Error = -0.631 
 Percent = 19.229  Prediction Error = -0.631 
 Percent = 19.229  Prediction Error = -0.691 
 Percent = 19.045  Prediction Error = -0.691 
 Percent = 19.045  Prediction Error = -0.751 
 Percent = 18.845  Prediction Error = -0.751 
 Percent = 18.845  Prediction Error = -0.811 
 Percent = 18.63  Prediction Error = -0.811 
 Percent = 18.63  Prediction Error = -0.871 
 Percent = 18.4  Prediction Error = -0.871 
 Percent = 18.4  Prediction Error = -0.931 
 Percent = 18.157  Prediction Error = -0.931 
 Percent = 18.157  Prediction Error = -0.991 
 Percent = 17.9  Prediction Error = -0.991 
 Percent = 17.9  Prediction Error = -1.051 
 Percent = 17.631  Prediction Error = -1.051 
 Percent = 17.631  Prediction Error = -1.111 
 Percent = 17.35  Prediction Error = -1.111 
 Percent = 17.35  Prediction Error = -1.171 
 Percent = 17.058  Prediction Error = -1.171 
 Percent = 17.058  Prediction Error = -1.231 
 Percent = 16.755  Prediction Error = -1.231 
 Percent = 16.755  Prediction Error = -1.351 
 Percent = 16.121  Prediction Error = -1.351 
 Percent = 16.121  Prediction Error = -1.471 
 Percent = 15.454  Prediction Error = -1.471 
 Percent = 15.454  Prediction Error = -2.192 
 Percent = 11.104  Prediction Error = -2.192 
 Percent = 11.104  Prediction Error = -2.432 
 Percent = 9.6575  Prediction Error = -2.432 
 Percent = 9.6575  Prediction Error = -2.612 
 Percent = 8.6142  Prediction Error = -2.612 
 Percent = 8.6142  Prediction Error = -2.732 
 Percent = 7.9455  Prediction Error = -2.732 
 Percent = 7.9455  Prediction Error = -2.853 
 Percent = 7.3018  Prediction Error = -2.853 
 Percent = 7.3018  Prediction Error = -2.973 
 Percent = 6.6857  Prediction Error = -2.973 
 Percent = 6.6857  Prediction Error = -3.093 
 Percent = 6.0991  Prediction Error = -3.093 
 Percent = 6.0991  Prediction Error = -3.213 
 Percent = 5.5436  Prediction Error = -3.213 
 Percent = 5.5436  Prediction Error = -3.273 
 Percent = 5.2778  Prediction Error = -3.273 
 Percent = 5.2778  Prediction Error = -3.333 
 Percent = 5.0202  Prediction Error = -3.333 
 Percent = 5.0202  Prediction Error = -3.393 
 Percent = 4.7707  Prediction Error = -3.393 
 Percent = 4.7707  Prediction Error = -3.453 
 Percent = 4.5295  Prediction Error = -3.453 
 Percent = 4.5295  Prediction Error = -3.513 
 Percent = 4.2966  Prediction Error = -3.513 
 Percent = 4.2966  Prediction Error = -3.573 
 Percent = 4.0719  Prediction Error = -3.573 
 Percent = 4.0719  Prediction Error = -3.633 
 Percent = 3.8554  Prediction Error = -3.633 
 Percent = 3.8554  Prediction Error = -3.693 
 Percent = 3.647  Prediction Error = -3.693 
 Percent = 3.647  Prediction Error = -3.753 
 Percent = 3.4468  Prediction Error = -3.753 
 Percent = 3.4468  Prediction Error = -3.813 
 Percent = 3.2545  Prediction Error = -3.813 
 Percent = 3.2545  Prediction Error = -3.873 
 Percent = 3.0702  Prediction Error = -3.873 
 Percent = 3.0702  Prediction Error = -3.933 
 Percent = 2.8936  Prediction Error = -3.933 
 Percent = 2.8936  Prediction Error = -3.993 
 Percent = 2.7247  Prediction Error = -3.993 
 Percent = 2.7247  Prediction Error = -4.053 
 Percent = 2.5633  Prediction Error = -4.053 
 Percent = 2.5633  Prediction Error = -4.114 
 Percent = 2.4092  Prediction Error = -4.114 
 Percent = 2.4092  Prediction Error = -4.174 
 Percent = 2.2624  Prediction Error = -4.174 
 Percent = 2.2624  Prediction Error = -4.234 
 Percent = 2.1225  Prediction Error = -4.234 
 Percent = 2.1225  Prediction Error = -4.294 
 Percent = 1.9894  Prediction Error = -4.294 
 Percent = 1.9894  Prediction Error = -4.354 
 Percent = 1.863  Prediction Error = -4.354 
 Percent = 1.863  Prediction Error = -4.414 
 Percent = 1.743  Prediction Error = -4.414 
 Percent = 1.743  Prediction Error = -4.474 
 Percent = 1.6293  Prediction Error = -4.474 
 Percent = 1.6293  Prediction Error = -4.534 
 Percent = 1.5215  Prediction Error = -4.534 
 Percent = 1.5215  Prediction Error = -4.594 
 Percent = 1.4196  Prediction Error = -4.594 
 Percent = 1.4196  Prediction Error = -4.654 
 Percent = 1.3233  Prediction Error = -4.654 
 Percent = 1.3233  Prediction Error = -4.714 
 Percent = 1.2324  Prediction Error = -4.714 
 Percent = 1.2324  Prediction Error = -4.774 
 Percent = 1.1467  Prediction Error = -4.774 
 Percent = 1.1467  Prediction Error = -4.834 
 Percent = 1.066  Prediction Error = -4.834 
 Percent = 1.066  Prediction Error = -4.894 
 Percent = 0.99  Prediction Error = -4.894 
 Percent = 0.99  Prediction Error = -4.954 
 Percent = 0.9186  Prediction Error = -4.954 
 Percent = 0.9186  Prediction Error = -5.014 
 Percent = 0.8516  Prediction Error = -5.014 
 Percent = 0.8516  Prediction Error = -5.074 
 Percent = 0.7887  Prediction Error = -5.074 
 Percent = 0.7887  Prediction Error = -5.134 
 Percent = 0.7299  Prediction Error = -5.134 
 Percent = 0.7299  Prediction Error = -5.194 
 Percent = 0.6747  Prediction Error = -5.194 
 Percent = 0.6747  Prediction Error = -5.254 
 Percent = 0.6232  Prediction Error = -5.254 
 Percent = 0.6232  Prediction Error = -5.314 
 Percent = 0.5751  Prediction Error = -5.314 
 Percent = 0.5751  Prediction Error = -5.375 
 Percent = 0.5302  Prediction Error = -5.375 
 Percent = 0.5302  Prediction Error = -5.435 
 Percent = 0.4884  Prediction Error = -5.435 
 Percent = 0.4884  Prediction Error = -5.495 
 Percent = 0.4494  Prediction Error = -5.495 
 Percent = 0.4494  Prediction Error = -5.555 
 Percent = 0.4132  Prediction Error = -5.555 
 Percent = 0.4132  Prediction Error = -5.615 
 Percent = 0.3796  Prediction Error = -5.615 
 Percent = 0.3796  Prediction Error = -5.675 
 Percent = 0.3483  Prediction Error = -5.675 
 Percent = 0.3483  Prediction Error = -5.735 
 Percent = 0.3194  Prediction Error = -5.735 
 Percent = 0.3194  Prediction Error = -5.795 
 Percent = 0.2926  Prediction Error = -5.795 
 Percent = 0.2926  Prediction Error = -5.855 
 Percent = 0.2678  Prediction Error = -5.855 
 Percent = 0.2678  Prediction Error = -5.915 
 Percent = 0.2448  Prediction Error = -5.915 
 Percent = 0.2448  Prediction Error = -5.975 
 Percent = 0.2237  Prediction Error = 4 
 Percent = 0.9091  Prediction Error = 4 
 Percent = 0.9091  Prediction Error = 3 
 Percent = 7.7273  Prediction Error = 3 
 Percent = 7.7273  Prediction Error = 2 
 Percent = 23.182  Prediction Error = 2 
 Percent = 23.182  Prediction Error = 1 
 Percent = 15.455  Prediction Error = 1 
 Percent = 15.455  Prediction Error = 0 
 Percent = 9.0909  Prediction Error = 0 
 Percent = 9.0909  Prediction Error = -1 
 Percent = 12.727  Prediction Error = -1 
 Percent = 12.727  Prediction Error = -2 
 Percent = 17.727  Prediction Error = -2 
 Percent = 17.727  Prediction Error = -3 
 Percent = 10.455  Prediction Error = -3 
 Percent = 10.455  Prediction Error = -4 
 Percent = 2.7273  Prediction Error = -4 
 Percent = 2.7273  Quantile = 2.766 
 Residual = 4.0719  Quantile = 2.4383 
 Residual = 4.0069  Quantile = 2.2598 
 Residual = 3.1104  Quantile = 2.1331 
 Residual = 3  Quantile = 2.0335 
 Residual = 2.9384  Quantile = 1.9508 
 Residual = 2.9032  Quantile = 1.8796 
 Residual = 2.8517  Quantile = 1.8169 
 Residual = 2.8347  Quantile = 1.7605 
 Residual = 2.7754  Quantile = 1.7093 
 Residual = 2.6881  Quantile = 1.6622 
 Residual = 2.6819  Quantile = 1.6185 
 Residual = 2.6292  Quantile = 1.5777 
 Residual = 2.6244  Quantile = 1.5393 
 Residual = 2.6094  Quantile = 1.5031 
 Residual = 2.5956  Quantile = 1.4688 
 Residual = 2.5486  Quantile = 1.4361 
 Residual = 2.5284  Quantile = 1.4049 
 Residual = 2.5233  Quantile = 1.375 
 Residual = 2.5007  Quantile = 1.3463 
 Residual = 2.4404  Quantile = 1.3186 
 Residual = 2.4397  Quantile = 1.292 
 Residual = 2.4035  Quantile = 1.2662 
 Residual = 2.3856  Quantile = 1.2412 
 Residual = 2.3807  Quantile = 1.217 
 Residual = 2.377  Quantile = 1.1935 
 Residual = 2.3054  Quantile = 1.1706 
 Residual = 2.2499  Quantile = 1.1483 
 Residual = 2.2497  Quantile = 1.1266 
 Residual = 2.1071  Quantile = 1.1053 
 Residual = 2.0945  Quantile = 1.0846 
 Residual = 2.0649  Quantile = 1.0643 
 Residual = 2.0579  Quantile = 1.0445 
 Residual = 2.0343  Quantile = 1.0251 
 Residual = 2.0154  Quantile = 1.006 
 Residual = 2.0117  Quantile = 0.9873 
 Residual = 1.9847  Quantile = 0.9689 
 Residual = 1.9699  Quantile = 0.9509 
 Residual = 1.9618  Quantile = 0.9332 
 Residual = 1.9404  Quantile = 0.9157 
 Residual = 1.9378  Quantile = 0.8985 
 Residual = 1.8994  Quantile = 0.8816 
 Residual = 1.8923  Quantile = 0.865 
 Residual = 1.8885  Quantile = 0.8485 
 Residual = 1.8857  Quantile = 0.8323 
 Residual = 1.8656  Quantile = 0.8163 
 Residual = 1.8201  Quantile = 0.8006 
 Residual = 1.8081  Quantile = 0.785 
 Residual = 1.799  Quantile = 0.7696 
 Residual = 1.7868  Quantile = 0.7544 
 Residual = 1.7796  Quantile = 0.7393 
 Residual = 1.7779  Quantile = 0.7245 
 Residual = 1.7753  Quantile = 0.7097 
 Residual = 1.7537  Quantile = 0.6952 
 Residual = 1.7428  Quantile = 0.6808 
 Residual = 1.7382  Quantile = 0.6665 
 Residual = 1.7292  Quantile = 0.6523 
 Residual = 1.7221  Quantile = 0.6383 
 Residual = 1.7151  Quantile = 0.6244 
 Residual = 1.7025  Quantile = 0.6107 
 Residual = 1.6746  Quantile = 0.597 
 Residual = 1.6497  Quantile = 0.5834 
 Residual = 1.6357  Quantile = 0.57 
 Residual = 1.6137  Quantile = 0.5567 
 Residual = 1.6122  Quantile = 0.5434 
 Residual = 1.5925  Quantile = 0.5303 
 Residual = 1.582  Quantile = 0.5172 
 Residual = 1.5813  Quantile = 0.5043 
 Residual = 1.545  Quantile = 0.4914 
 Residual = 1.5327  Quantile = 0.4786 
 Residual = 1.5164  Quantile = 0.4659 
 Residual = 1.4839  Quantile = 0.4532 
 Residual = 1.4756  Quantile = 0.4406 
 Residual = 1.47  Quantile = 0.4281 
 Residual = 1.4371  Quantile = 0.4157 
 Residual = 1.4229  Quantile = 0.4033 
 Residual = 1.4084  Quantile = 0.391 
 Residual = 1.3908  Quantile = 0.3787 
 Residual = 1.3859  Quantile = 0.3665 
 Residual = 1.3705  Quantile = 0.3544 
 Residual = 1.3458  Quantile = 0.3423 
 Residual = 1.3262  Quantile = 0.3303 
 Residual = 1.3022  Quantile = 0.3183 
 Residual = 1.2867  Quantile = 0.3063 
 Residual = 1.2786  Quantile = 0.2944 
 Residual = 1.2448  Quantile = 0.2825 
 Residual = 1.2416  Quantile = 0.2707 
 Residual = 1.2049  Quantile = 0.2589 
 Residual = 1.1673  Quantile = 0.2472 
 Residual = 1.1444  Quantile = 0.2355 
 Residual = 1.1353  Quantile = 0.2238 
 Residual = 1.0516  Quantile = 0.2121 
 Residual = 1.0423  Quantile = 0.2005 
 Residual = 0.9903  Quantile = 0.1889 
 Residual = 0.9694  Quantile = 0.1773 
 Residual = 0.9363  Quantile = 0.1658 
 Residual = 0.909  Quantile = 0.1543 
 Residual = 0.888  Quantile = 0.1427 
 Residual = 0.8363  Quantile = 0.1313 
 Residual = 0.7971  Quantile = 0.1198 
 Residual = 0.6624  Quantile = 0.1083 
 Residual = 0.6559  Quantile = 0.0969 
 Residual = 0.549  Quantile = 0.0855 
 Residual = 0.5137  Quantile = 0.074 
 Residual = 0.5009  Quantile = 0.0626 
 Residual = 0.3154  Quantile = 0.0512 
 Residual = 0.2819  Quantile = 0.0398 
 Residual = 0.2587  Quantile = 0.0285 
 Residual = 0.1809  Quantile = 0.0171 
 Residual = 0.0524  Quantile = 0.0057 
 Residual = 0.0099  Quantile = -0.006 
 Residual = 0.0096  Quantile = -0.017 
 Residual = 0.0085  Quantile = -0.028 
 Residual = 0.0083  Quantile = -0.04 
 Residual = 0.0072  Quantile = -0.051 
 Residual = 0.0059  Quantile = -0.063 
 Residual = -0.025  Quantile = -0.074 
 Residual = -0.04  Quantile = -0.085 
 Residual = -0.051  Quantile = -0.097 
 Residual = -0.067  Quantile = -0.108 
 Residual = -0.072  Quantile = -0.12 
 Residual = -0.142  Quantile = -0.131 
 Residual = -0.269  Quantile = -0.143 
 Residual = -0.396  Quantile = -0.154 
 Residual = -0.405  Quantile = -0.166 
 Residual = -0.515  Quantile = -0.177 
 Residual = -0.544  Quantile = -0.189 
 Residual = -0.613  Quantile = -0.2 
 Residual = -0.745  Quantile = -0.212 
 Residual = -0.771  Quantile = -0.224 
 Residual = -0.798  Quantile = -0.235 
 Residual = -0.799  Quantile = -0.247 
 Residual = -0.813  Quantile = -0.259 
 Residual = -0.816  Quantile = -0.271 
 Residual = -0.818  Quantile = -0.283 
 Residual = -0.846  Quantile = -0.294 
 Residual = -0.881  Quantile = -0.306 
 Residual = -0.953  Quantile = -0.318 
 Residual = -0.996  Quantile = -0.33 
 Residual = -1.126  Quantile = -0.342 
 Residual = -1.287  Quantile = -0.354 
 Residual = -1.296  Quantile = -0.367 
 Residual = -1.314  Quantile = -0.379 
 Residual = -1.351  Quantile = -0.391 
 Residual = -1.376  Quantile = -0.403 
 Residual = -1.382  Quantile = -0.416 
 Residual = -1.413  Quantile = -0.428 
 Residual = -1.445  Quantile = -0.441 
 Residual = -1.465  Quantile = -0.453 
 Residual = -1.474  Quantile = -0.466 
 Residual = -1.494  Quantile = -0.479 
 Residual = -1.496  Quantile = -0.491 
 Residual = -1.499  Quantile = -0.504 
 Residual = -1.503  Quantile = -0.517 
 Residual = -1.505  Quantile = -0.53 
 Residual = -1.52  Quantile = -0.543 
 Residual = -1.56  Quantile = -0.557 
 Residual = -1.56  Quantile = -0.57 
 Residual = -1.572  Quantile = -0.583 
 Residual = -1.584  Quantile = -0.597 
 Residual = -1.59  Quantile = -0.611 
 Residual = -1.66  Quantile = -0.624 
 Residual = -1.699  Quantile = -0.638 
 Residual = -1.703  Quantile = -0.652 
 Residual = -1.74  Quantile = -0.666 
 Residual = -1.861  Quantile = -0.681 
 Residual = -1.906  Quantile = -0.695 
 Residual = -1.906  Quantile = -0.71 
 Residual = -1.906  Quantile = -0.724 
 Residual = -1.908  Quantile = -0.739 
 Residual = -1.925  Quantile = -0.754 
 Residual = -1.949  Quantile = -0.77 
 Residual = -2.024  Quantile = -0.785 
 Residual = -2.076  Quantile = -0.801 
 Residual = -2.076  Quantile = -0.816 
 Residual = -2.087  Quantile = -0.832 
 Residual = -2.127  Quantile = -0.849 
 Residual = -2.153  Quantile = -0.865 
 Residual = -2.175  Quantile = -0.882 
 Residual = -2.219  Quantile = -0.899 
 Residual = -2.232  Quantile = -0.916 
 Residual = -2.278  Quantile = -0.933 
 Residual = -2.32  Quantile = -0.951 
 Residual = -2.321  Quantile = -0.969 
 Residual = -2.331  Quantile = -0.987 
 Residual = -2.334  Quantile = -1.006 
 Residual = -2.347  Quantile = -1.025 
 Residual = -2.423  Quantile = -1.044 
 Residual = -2.469  Quantile = -1.064 
 Residual = -2.489  Quantile = -1.085 
 Residual = -2.49  Quantile = -1.105 
 Residual = -2.491  Quantile = -1.127 
 Residual = -2.534  Quantile = -1.148 
 Residual = -2.536  Quantile = -1.171 
 Residual = -2.547  Quantile = -1.193 
 Residual = -2.56  Quantile = -1.217 
 Residual = -2.575  Quantile = -1.241 
 Residual = -2.582  Quantile = -1.266 
 Residual = -2.599  Quantile = -1.292 
 Residual = -2.604  Quantile = -1.319 
 Residual = -2.692  Quantile = -1.346 
 Residual = -2.696  Quantile = -1.375 
 Residual = -2.696  Quantile = -1.405 
 Residual = -2.697  Quantile = -1.436 
 Residual = -2.699  Quantile = -1.469 
 Residual = -2.7  Quantile = -1.503 
 Residual = -2.709  Quantile = -1.539 
 Residual = -2.806  Quantile = -1.578 
 Residual = -2.83  Quantile = -1.618 
 Residual = -2.906  Quantile = -1.662 
 Residual = -2.917  Quantile = -1.709 
 Residual = -3.023  Quantile = -1.761 
 Residual = -3.13  Quantile = -1.817 
 Residual = -3.161  Quantile = -1.88 
 Residual = -3.292  Quantile = -1.951 
 Residual = -3.546  Quantile = -2.034 
 Residual = -3.982  Quantile = -2.133 
 Residual = -4.036  Quantile = -2.26 
 Residual = -4.043  Quantile = -2.438 
 Residual = -4.049  Quantile = -2.766 
 Residual = -4.136  Slope = 1.9815 
 Y = -0.03  Lag = 24 
 ACF = -0.012  Lag = 23 
 ACF = 0.1166  Lag = 22 
 ACF = -0.045  Lag = 21 
 ACF = -0.014  Lag = 20 
 ACF = -0.027  Lag = 19 
 ACF = 0.0068  Lag = 18 
 ACF = 0.0097  Lag = 17 
 ACF = -0.019  Lag = 16 
 ACF = -.0004  Lag = 15 
 ACF = 0.1023  Lag = 14 
 ACF = -0.101  Lag = 13 
 ACF = 0.077  Lag = 12 
 ACF = -0.049  Lag = 11 
 ACF = 0.0077  Lag = 10 
 ACF = 0.0697  Lag = 9 
 ACF = -0.076  Lag = 8 
 ACF = -0.019  Lag = 7 
 ACF = 0.0925  Lag = 6 
 ACF = 0.082  Lag = 5 
 ACF = 0.0075  Lag = 4 
 ACF = -0.01  Lag = 3 
 ACF = -0.003  Lag = 2 
 ACF = -0.096  Lag = 1 
 ACF = -0.034  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.146 
 Upper = 0.1456  Lag = 23 
 Lower = -0.144 
 Upper = 0.1439  Lag = 23 
 Lower = -0.144 
 Upper = 0.1439  Lag = 22 
 Lower = -0.144 
 Upper = 0.1436  Lag = 22 
 Lower = -0.144 
 Upper = 0.1436  Lag = 21 
 Lower = -0.144 
 Upper = 0.1436  Lag = 21 
 Lower = -0.144 
 Upper = 0.1436  Lag = 20 
 Lower = -0.144 
 Upper = 0.1435  Lag = 20 
 Lower = -0.144 
 Upper = 0.1435  Lag = 19 
 Lower = -0.144 
 Upper = 0.1435  Lag = 19 
 Lower = -0.144 
 Upper = 0.1435  Lag = 18 
 Lower = -0.144 
 Upper = 0.1435  Lag = 18 
 Lower = -0.144 
 Upper = 0.1435  Lag = 17 
 Lower = -0.143 
 Upper = 0.1435  Lag = 17 
 Lower = -0.143 
 Upper = 0.1435  Lag = 16 
 Lower = -0.143 
 Upper = 0.1435  Lag = 16 
 Lower = -0.143 
 Upper = 0.1435  Lag = 15 
 Lower = -0.142 
 Upper = 0.1421  Lag = 15 
 Lower = -0.142 
 Upper = 0.1421  Lag = 14 
 Lower = -0.141 
 Upper = 0.1408  Lag = 14 
 Lower = -0.141 
 Upper = 0.1408  Lag = 13 
 Lower = -0.14 
 Upper = 0.14  Lag = 13 
 Lower = -0.14 
 Upper = 0.14  Lag = 12 
 Lower = -0.14 
 Upper = 0.1397  Lag = 12 
 Lower = -0.14 
 Upper = 0.1397  Lag = 11 
 Lower = -0.14 
 Upper = 0.1397  Lag = 11 
 Lower = -0.14 
 Upper = 0.1397  Lag = 10 
 Lower = -0.139 
 Upper = 0.1391  Lag = 10 
 Lower = -0.139 
 Upper = 0.1391  Lag = 9 
 Lower = -0.138 
 Upper = 0.1383  Lag = 9 
 Lower = -0.138 
 Upper = 0.1383  Lag = 8 
 Lower = -0.138 
 Upper = 0.1383  Lag = 8 
 Lower = -0.138 
 Upper = 0.1383  Lag = 7 
 Lower = -0.137 
 Upper = 0.1371  Lag = 7 
 Lower = -0.137 
 Upper = 0.1371  Lag = 6 
 Lower = -0.136 
 Upper = 0.1362  Lag = 6 
 Lower = -0.136 
 Upper = 0.1362  Lag = 5 
 Lower = -0.136 
 Upper = 0.1362  Lag = 5 
 Lower = -0.136 
 Upper = 0.1362  Lag = 4 
 Lower = -0.136 
 Upper = 0.1362  Lag = 4 
 Lower = -0.136 
 Upper = 0.1362  Lag = 3 
 Lower = -0.136 
 Upper = 0.1362  Lag = 3 
 Lower = -0.136 
 Upper = 0.1362  Lag = 2 
 Lower = -0.135 
 Upper = 0.135  Lag = 2 
 Lower = -0.135 
 Upper = 0.135  Lag = 1 
 Lower = -0.135 
 Upper = 0.1348  Lag = 1 
 Lower = -0.135 
 Upper = 0.1348  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0087  Lag = 23 
 PACF = 0.1006  Lag = 22 
 PACF = -0.06  Lag = 21 
 PACF = -0.02  Lag = 20 
 PACF = -0.028  Lag = 19 
 PACF = 0.0148  Lag = 18 
 PACF = 0.0111  Lag = 17 
 PACF = -0.012  Lag = 16 
 PACF = -0.013  Lag = 15 
 PACF = 0.123  Lag = 14 
 PACF = -0.113  Lag = 13 
 PACF = 0.0595  Lag = 12 
 PACF = -0.048  Lag = 11 
 PACF = 0.001  Lag = 10 
 PACF = 0.0668  Lag = 9 
 PACF = -0.059  Lag = 8 
 PACF = 0.0052  Lag = 7 
 PACF = 0.1017  Lag = 6 
 PACF = 0.0804  Lag = 5 
 PACF = 0.0051  Lag = 4 
 PACF = -0.02  Lag = 3 
 PACF = -0.01  Lag = 2 
 PACF = -0.097  Lag = 1 
 PACF = -0.034  Lag = 24 
 Lower = -0.135 
 Upper = 0.1348  Lag = 23 
 Lower = -0.135 
 Upper = 0.1348  Lag = 23 
 Lower = -0.135 
 Upper = 0.1348  Lag = 22 
 Lower = -0.135 
 Upper = 0.1348  Lag = 22 
 Lower = -0.135 
 Upper = 0.1348  Lag = 21 
 Lower = -0.135 
 Upper = 0.1348  Lag = 21 
 Lower = -0.135 
 Upper = 0.1348  Lag = 20 
 Lower = -0.135 
 Upper = 0.1348  Lag = 20 
 Lower = -0.135 
 Upper = 0.1348  Lag = 19 
 Lower = -0.135 
 Upper = 0.1348  Lag = 19 
 Lower = -0.135 
 Upper = 0.1348  Lag = 18 
 Lower = -0.135 
 Upper = 0.1348  Lag = 18 
 Lower = -0.135 
 Upper = 0.1348  Lag = 17 
 Lower = -0.135 
 Upper = 0.1348  Lag = 17 
 Lower = -0.135 
 Upper = 0.1348  Lag = 16 
 Lower = -0.135 
 Upper = 0.1348  Lag = 16 
 Lower = -0.135 
 Upper = 0.1348  Lag = 15 
 Lower = -0.135 
 Upper = 0.1348  Lag = 15 
 Lower = -0.135 
 Upper = 0.1348  Lag = 14 
 Lower = -0.135 
 Upper = 0.1348  Lag = 14 
 Lower = -0.135 
 Upper = 0.1348  Lag = 13 
 Lower = -0.135 
 Upper = 0.1348  Lag = 13 
 Lower = -0.135 
 Upper = 0.1348  Lag = 12 
 Lower = -0.135 
 Upper = 0.1348  Lag = 12 
 Lower = -0.135 
 Upper = 0.1348  Lag = 11 
 Lower = -0.135 
 Upper = 0.1348  Lag = 11 
 Lower = -0.135 
 Upper = 0.1348  Lag = 10 
 Lower = -0.135 
 Upper = 0.1348  Lag = 10 
 Lower = -0.135 
 Upper = 0.1348  Lag = 9 
 Lower = -0.135 
 Upper = 0.1348  Lag = 9 
 Lower = -0.135 
 Upper = 0.1348  Lag = 8 
 Lower = -0.135 
 Upper = 0.1348  Lag = 8 
 Lower = -0.135 
 Upper = 0.1348  Lag = 7 
 Lower = -0.135 
 Upper = 0.1348  Lag = 7 
 Lower = -0.135 
 Upper = 0.1348  Lag = 6 
 Lower = -0.135 
 Upper = 0.1348  Lag = 6 
 Lower = -0.135 
 Upper = 0.1348  Lag = 5 
 Lower = -0.135 
 Upper = 0.1348  Lag = 5 
 Lower = -0.135 
 Upper = 0.1348  Lag = 4 
 Lower = -0.135 
 Upper = 0.1348  Lag = 4 
 Lower = -0.135 
 Upper = 0.1348  Lag = 3 
 Lower = -0.135 
 Upper = 0.1348  Lag = 3 
 Lower = -0.135 
 Upper = 0.1348  Lag = 2 
 Lower = -0.135 
 Upper = 0.1348  Lag = 2 
 Lower = -0.135 
 Upper = 0.1348  Lag = 1 
 Lower = -0.135 
 Upper = 0.1348
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Mar2019 
 Loess Fit = 0.2819  Date_of_death = Feb2019 
 Loess Fit = 0.28  Date_of_death = Feb2019 
 Loess Fit = 0.28  Date_of_death = Jan2019 
 Loess Fit = 0.278  Date_of_death = Jan2019 
 Loess Fit = 0.278  Date_of_death = Dec2018 
 Loess Fit = 0.2761  Date_of_death = Dec2018 
 Loess Fit = 0.2761  Date_of_death = Nov2018 
 Loess Fit = 0.2741  Date_of_death = Nov2018 
 Loess Fit = 0.2741  Date_of_death = Oct2018 
 Loess Fit = 0.2722  Date_of_death = Oct2018 
 Loess Fit = 0.2722  Date_of_death = Sep2018 
 Loess Fit = 0.2702  Date_of_death = Sep2018 
 Loess Fit = 0.2702  Date_of_death = Aug2018 
 Loess Fit = 0.2683  Date_of_death = Aug2018 
 Loess Fit = 0.2683  Date_of_death = Jul2018 
 Loess Fit = 0.2663  Date_of_death = Jul2018 
 Loess Fit = 0.2663  Date_of_death = Jun2018 
 Loess Fit = 0.2644  Date_of_death = Jun2018 
 Loess Fit = 0.2644  Date_of_death = May2018 
 Loess Fit = 0.2624  Date_of_death = May2018 
 Loess Fit = 0.2624  Date_of_death = Mar2018 
 Loess Fit = 0.2605  Date_of_death = Mar2018 
 Loess Fit = 0.2605  Date_of_death = Feb2018 
 Loess Fit = 0.2585  Date_of_death = Feb2018 
 Loess Fit = 0.2585  Date_of_death = Jan2018 
 Loess Fit = 0.2566  Date_of_death = Jan2018 
 Loess Fit = 0.2566  Date_of_death = Dec2017 
 Loess Fit = 0.2546  Date_of_death = Dec2017 
 Loess Fit = 0.2546  Date_of_death = Nov2017 
 Loess Fit = 0.2527  Date_of_death = Nov2017 
 Loess Fit = 0.2527  Date_of_death = Oct2017 
 Loess Fit = 0.2507  Date_of_death = Oct2017 
 Loess Fit = 0.2507  Date_of_death = Sep2017 
 Loess Fit = 0.2488  Date_of_death = Sep2017 
 Loess Fit = 0.2488  Date_of_death = Aug2017 
 Loess Fit = 0.2468  Date_of_death = Aug2017 
 Loess Fit = 0.2468  Date_of_death = Jul2017 
 Loess Fit = 0.2449  Date_of_death = Jul2017 
 Loess Fit = 0.2449  Date_of_death = Jun2017 
 Loess Fit = 0.2429  Date_of_death = Jun2017 
 Loess Fit = 0.2429  Date_of_death = May2017 
 Loess Fit = 0.241  Date_of_death = May2017 
 Loess Fit = 0.241  Date_of_death = Mar2017 
 Loess Fit = 0.239  Date_of_death = Mar2017 
 Loess Fit = 0.239  Date_of_death = Feb2017 
 Loess Fit = 0.2371  Date_of_death = Feb2017 
 Loess Fit = 0.2371  Date_of_death = Jan2017 
 Loess Fit = 0.2351  Date_of_death = Jan2017 
 Loess Fit = 0.2351  Date_of_death = Dec2016 
 Loess Fit = 0.2329  Date_of_death = Dec2016 
 Loess Fit = 0.2329  Date_of_death = Nov2016 
 Loess Fit = 0.2303  Date_of_death = Nov2016 
 Loess Fit = 0.2303  Date_of_death = Oct2016 
 Loess Fit = 0.2277  Date_of_death = Oct2016 
 Loess Fit = 0.2277  Date_of_death = Sep2016 
 Loess Fit = 0.2251  Date_of_death = Sep2016 
 Loess Fit = 0.2251  Date_of_death = Aug2016 
 Loess Fit = 0.2225  Date_of_death = Aug2016 
 Loess Fit = 0.2225  Date_of_death = Jul2016 
 Loess Fit = 0.2199  Date_of_death = Jul2016 
 Loess Fit = 0.2199  Date_of_death = Jun2016 
 Loess Fit = 0.2173  Date_of_death = Jun2016 
 Loess Fit = 0.2173  Date_of_death = Apr2016 
 Loess Fit = 0.2147  Date_of_death = Apr2016 
 Loess Fit = 0.2147  Date_of_death = Mar2016 
 Loess Fit = 0.2121  Date_of_death = Mar2016 
 Loess Fit = 0.2121  Date_of_death = Feb2016 
 Loess Fit = 0.2095  Date_of_death = Feb2016 
 Loess Fit = 0.2095  Date_of_death = Jan2016 
 Loess Fit = 0.2069  Date_of_death = Jan2016 
 Loess Fit = 0.2069  Date_of_death = Dec2015 
 Loess Fit = 0.2043  Date_of_death = Dec2015 
 Loess Fit = 0.2043  Date_of_death = Nov2015 
 Loess Fit = 0.2017  Date_of_death = Nov2015 
 Loess Fit = 0.2017  Date_of_death = Oct2015 
 Loess Fit = 0.1991  Date_of_death = Oct2015 
 Loess Fit = 0.1991  Date_of_death = Sep2015 
 Loess Fit = 0.1965  Date_of_death = Sep2015 
 Loess Fit = 0.1965  Date_of_death = Aug2015 
 Loess Fit = 0.1939  Date_of_death = Aug2015 
 Loess Fit = 0.1939  Date_of_death = Jul2015 
 Loess Fit = 0.1913  Date_of_death = Jul2015 
 Loess Fit = 0.1913  Date_of_death = Jun2015 
 Loess Fit = 0.1887  Date_of_death = Jun2015 
 Loess Fit = 0.1887  Date_of_death = Apr2015 
 Loess Fit = 0.1861  Date_of_death = Apr2015 
 Loess Fit = 0.1861  Date_of_death = Mar2015 
 Loess Fit = 0.1835  Date_of_death = Mar2015 
 Loess Fit = 0.1835  Date_of_death = Feb2015 
 Loess Fit = 0.1809  Date_of_death = Feb2015 
 Loess Fit = 0.1809  Date_of_death = Jan2015 
 Loess Fit = 0.1783  Date_of_death = Jan2015 
 Loess Fit = 0.1783  Date_of_death = Dec2014 
 Loess Fit = 0.1757  Date_of_death = Dec2014 
 Loess Fit = 0.1757  Date_of_death = Nov2014 
 Loess Fit = 0.1731  Date_of_death = Nov2014 
 Loess Fit = 0.1731  Date_of_death = Oct2014 
 Loess Fit = 0.1705  Date_of_death = Oct2014 
 Loess Fit = 0.1705  Date_of_death = Sep2014 
 Loess Fit = 0.1679  Date_of_death = Sep2014 
 Loess Fit = 0.1679  Date_of_death = Aug2014 
 Loess Fit = 0.1651  Date_of_death = Aug2014 
 Loess Fit = 0.1651  Date_of_death = Jul2014 
 Loess Fit = 0.1622  Date_of_death = Jul2014 
 Loess Fit = 0.1622  Date_of_death = May2014 
 Loess Fit = 0.1593  Date_of_death = May2014 
 Loess Fit = 0.1593  Date_of_death = Apr2014 
 Loess Fit = 0.1564  Date_of_death = Apr2014 
 Loess Fit = 0.1564  Date_of_death = Mar2014 
 Loess Fit = 0.1536  Date_of_death = Mar2014 
 Loess Fit = 0.1536  Date_of_death = Feb2014 
 Loess Fit = 0.1507  Date_of_death = Feb2014 
 Loess Fit = 0.1507  Date_of_death = Jan2014 
 Loess Fit = 0.1478  Date_of_death = Jan2014 
 Loess Fit = 0.1478  Date_of_death = Dec2013 
 Loess Fit = 0.1449  Date_of_death = Dec2013 
 Loess Fit = 0.1449  Date_of_death = Nov2013 
 Loess Fit = 0.1421  Date_of_death = Nov2013 
 Loess Fit = 0.1421  Date_of_death = Oct2013 
 Loess Fit = 0.1392  Date_of_death = Oct2013 
 Loess Fit = 0.1392  Date_of_death = Sep2013 
 Loess Fit = 0.1363  Date_of_death = Sep2013 
 Loess Fit = 0.1363  Date_of_death = Aug2013 
 Loess Fit = 0.1334  Date_of_death = Aug2013 
 Loess Fit = 0.1334  Date_of_death = Jul2013 
 Loess Fit = 0.1306  Date_of_death = Jul2013 
 Loess Fit = 0.1306  Date_of_death = May2013 
 Loess Fit = 0.1277  Date_of_death = May2013 
 Loess Fit = 0.1277  Date_of_death = Apr2013 
 Loess Fit = 0.1248  Date_of_death = Apr2013 
 Loess Fit = 0.1248  Date_of_death = Mar2013 
 Loess Fit = 0.1219  Date_of_death = Mar2013 
 Loess Fit = 0.1219  Date_of_death = Feb2013 
 Loess Fit = 0.1191  Date_of_death = Feb2013 
 Loess Fit = 0.1191  Date_of_death = Jan2013 
 Loess Fit = 0.1162  Date_of_death = Jan2013 
 Loess Fit = 0.1162  Date_of_death = Dec2012 
 Loess Fit = 0.1133  Date_of_death = Dec2012 
 Loess Fit = 0.1133  Date_of_death = Nov2012 
 Loess Fit = 0.1104  Date_of_death = Nov2012 
 Loess Fit = 0.1104  Date_of_death = Oct2012 
 Loess Fit = 0.1076  Date_of_death = Oct2012 
 Loess Fit = 0.1076  Date_of_death = Sep2012 
 Loess Fit = 0.1047  Date_of_death = Sep2012 
 Loess Fit = 0.1047  Date_of_death = Aug2012 
 Loess Fit = 0.1018  Date_of_death = Aug2012 
 Loess Fit = 0.1018  Date_of_death = Jun2012 
 Loess Fit = 0.0989  Date_of_death = Jun2012 
 Loess Fit = 0.0989  Date_of_death = May2012 
 Loess Fit = 0.096  Date_of_death = May2012 
 Loess Fit = 0.096  Date_of_death = Apr2012 
 Loess Fit = 0.0931  Date_of_death = Apr2012 
 Loess Fit = 0.0931  Date_of_death = Mar2012 
 Loess Fit = 0.0901  Date_of_death = Mar2012 
 Loess Fit = 0.0901  Date_of_death = Feb2012 
 Loess Fit = 0.0871  Date_of_death = Feb2012 
 Loess Fit = 0.0871  Date_of_death = Jan2012 
 Loess Fit = 0.0841  Date_of_death = Jan2012 
 Loess Fit = 0.0841  Date_of_death = Dec2011 
 Loess Fit = 0.0811  Date_of_death = Dec2011 
 Loess Fit = 0.0811  Date_of_death = Nov2011 
 Loess Fit = 0.0782  Date_of_death = Nov2011 
 Loess Fit = 0.0782  Date_of_death = Oct2011 
 Loess Fit = 0.0752  Date_of_death = Oct2011 
 Loess Fit = 0.0752  Date_of_death = Sep2011 
 Loess Fit = 0.0722  Date_of_death = Sep2011 
 Loess Fit = 0.0722  Date_of_death = Aug2011 
 Loess Fit = 0.0692  Date_of_death = Aug2011 
 Loess Fit = 0.0692  Date_of_death = Jun2011 
 Loess Fit = 0.0663  Date_of_death = Jun2011 
 Loess Fit = 0.0663  Date_of_death = May2011 
 Loess Fit = 0.0633  Date_of_death = May2011 
 Loess Fit = 0.0633  Date_of_death = Apr2011 
 Loess Fit = 0.0603  Date_of_death = Apr2011 
 Loess Fit = 0.0603  Date_of_death = Mar2011 
 Loess Fit = 0.0573  Date_of_death = Mar2011 
 Loess Fit = 0.0573  Date_of_death = Feb2011 
 Loess Fit = 0.0543  Date_of_death = Feb2011 
 Loess Fit = 0.0543  Date_of_death = Jan2011 
 Loess Fit = 0.0514  Date_of_death = Jan2011 
 Loess Fit = 0.0514  Date_of_death = Dec2010 
 Loess Fit = 0.0484  Date_of_death = Dec2010 
 Loess Fit = 0.0484  Date_of_death = Nov2010 
 Loess Fit = 0.0454  Date_of_death = Nov2010 
 Loess Fit = 0.0454  Date_of_death = Oct2010 
 Loess Fit = 0.0424  Date_of_death = Oct2010 
 Loess Fit = 0.0424  Date_of_death = Sep2010 
 Loess Fit = 0.0394  Date_of_death = Sep2010 
 Loess Fit = 0.0394  Date_of_death = Jul2010 
 Loess Fit = 0.0365  Date_of_death = Jul2010 
 Loess Fit = 0.0365  Date_of_death = Jun2010 
 Loess Fit = 0.0335  Date_of_death = Jun2010 
 Loess Fit = 0.0335  Date_of_death = May2010 
 Loess Fit = 0.0305  Date_of_death = May2010 
 Loess Fit = 0.0305  Date_of_death = Apr2010 
 Loess Fit = 0.0275  Date_of_death = Apr2010 
 Loess Fit = 0.0275  Date_of_death = Mar2010 
 Loess Fit = 0.0246  Date_of_death = Mar2010 
 Loess Fit = 0.0246  Date_of_death = Feb2010 
 Loess Fit = 0.0216  Date_of_death = Feb2010 
 Loess Fit = 0.0216  Date_of_death = Jan2010 
 Loess Fit = 0.017  Date_of_death = Jan2010 
 Loess Fit = 0.017  Date_of_death = Dec2009 
 Loess Fit = 0.0112  Date_of_death = Dec2009 
 Loess Fit = 0.0112  Date_of_death = Nov2009 
 Loess Fit = 0.0055  Date_of_death = Nov2009 
 Loess Fit = 0.0055  Date_of_death = Oct2009 
 Loess Fit = -.0003  Date_of_death = Oct2009 
 Loess Fit = -.0003  Date_of_death = Sep2009 
 Loess Fit = -0.006  Date_of_death = Sep2009 
 Loess Fit = -0.006  Date_of_death = Jul2009 
 Loess Fit = -0.012  Date_of_death = Jul2009 
 Loess Fit = -0.012  Date_of_death = Jun2009 
 Loess Fit = -0.018  Date_of_death = Jun2009 
 Loess Fit = -0.018  Date_of_death = May2009 
 Loess Fit = -0.023  Date_of_death = May2009 
 Loess Fit = -0.023  Date_of_death = Apr2009 
 Loess Fit = -0.029  Date_of_death = Apr2009 
 Loess Fit = -0.029  Date_of_death = Mar2009 
 Loess Fit = -0.035  Date_of_death = Mar2009 
 Loess Fit = -0.035  Date_of_death = Feb2009 
 Loess Fit = -0.041  Date_of_death = Feb2009 
 Loess Fit = -0.041  Date_of_death = Jan2009 
 Loess Fit = -0.046  Date_of_death = Jan2009 
 Loess Fit = -0.046  Date_of_death = Dec2008 
 Loess Fit = -0.052  Date_of_death = Dec2008 
 Loess Fit = -0.052  Date_of_death = Nov2008 
 Loess Fit = -0.058  Date_of_death = Nov2008 
 Loess Fit = -0.058  Date_of_death = Oct2008 
 Loess Fit = -0.064  Date_of_death = Oct2008 
 Loess Fit = -0.064  Date_of_death = Aug2008 
 Loess Fit = -0.069  Date_of_death = Aug2008 
 Loess Fit = -0.069  Date_of_death = Jul2008 
 Loess Fit = -0.075  Date_of_death = Jul2008 
 Loess Fit = -0.075  Date_of_death = Jun2008 
 Loess Fit = -0.081  Date_of_death = Jun2008 
 Loess Fit = -0.081  Date_of_death = May2008 
 Loess Fit = -0.087  Date_of_death = May2008 
 Loess Fit = -0.087  Date_of_death = Apr2008 
 Loess Fit = -0.093  Date_of_death = Apr2008 
 Loess Fit = -0.093  Date_of_death = Mar2008 
 Loess Fit = -0.098  Date_of_death = Mar2008 
 Loess Fit = -0.098  Date_of_death = Feb2008 
 Loess Fit = -0.104  Date_of_death = Feb2008 
 Loess Fit = -0.104  Date_of_death = Jan2008 
 Loess Fit = -0.11  Date_of_death = Jan2008 
 Loess Fit = -0.11  Date_of_death = Dec2007 
 Loess Fit = -0.116  Date_of_death = Dec2007 
 Loess Fit = -0.116  Date_of_death = Nov2007 
 Loess Fit = -0.121  Date_of_death = Nov2007 
 Loess Fit = -0.121  Date_of_death = Oct2007 
 Loess Fit = -0.126  Date_of_death = Oct2007 
 Loess Fit = -0.126  Date_of_death = Aug2007 
 Loess Fit = -0.131  Date_of_death = Aug2007 
 Loess Fit = -0.131  Date_of_death = Jul2007 
 Loess Fit = -0.136  Date_of_death = Jul2007 
 Loess Fit = -0.136  Date_of_death = Jun2007 
 Loess Fit = -0.141  Date_of_death = Jun2007 
 Loess Fit = -0.141  Date_of_death = May2007 
 Loess Fit = -0.146  Date_of_death = May2007 
 Loess Fit = -0.146  Date_of_death = Apr2007 
 Loess Fit = -0.151  Date_of_death = Apr2007 
 Loess Fit = -0.151  Date_of_death = Mar2007 
 Loess Fit = -0.156  Date_of_death = Mar2007 
 Loess Fit = -0.156  Date_of_death = Feb2007 
 Loess Fit = -0.161  Date_of_death = Feb2007 
 Loess Fit = -0.161  Date_of_death = Jan2007 
 Loess Fit = -0.166  Date_of_death = Jan2007 
 Loess Fit = -0.166  Date_of_death = Dec2006 
 Loess Fit = -0.171  Date_of_death = Dec2006 
 Loess Fit = -0.171  Date_of_death = Nov2006 
 Loess Fit = -0.175  Date_of_death = Nov2006 
 Loess Fit = -0.175  Date_of_death = Oct2006 
 Loess Fit = -0.18  Date_of_death = Oct2006 
 Loess Fit = -0.18  Date_of_death = Aug2006 
 Loess Fit = -0.185  Date_of_death = Aug2006 
 Loess Fit = -0.185  Date_of_death = Jul2006 
 Loess Fit = -0.19  Date_of_death = Jul2006 
 Loess Fit = -0.19  Date_of_death = Jun2006 
 Loess Fit = -0.195  Date_of_death = Jun2006 
 Loess Fit = -0.195  Date_of_death = May2006 
 Loess Fit = -0.2  Date_of_death = May2006 
 Loess Fit = -0.2  Date_of_death = Apr2006 
 Loess Fit = -0.205  Date_of_death = Apr2006 
 Loess Fit = -0.205  Date_of_death = Mar2006 
 Loess Fit = -0.21  Date_of_death = Mar2006 
 Loess Fit = -0.21  Date_of_death = Feb2006 
 Loess Fit = -0.215  Date_of_death = Feb2006 
 Loess Fit = -0.215  Date_of_death = Jan2006 
 Loess Fit = -0.22  Date_of_death = Jan2006 
 Loess Fit = -0.22  Date_of_death = Dec2005 
 Loess Fit = -0.224  Date_of_death = Dec2005 
 Loess Fit = -0.224  Date_of_death = Nov2005 
 Loess Fit = -0.229  Date_of_death = Nov2005 
 Loess Fit = -0.229  Date_of_death = Sep2005 
 Loess Fit = -0.234  Date_of_death = Sep2005 
 Loess Fit = -0.234  Date_of_death = Aug2005 
 Loess Fit = -0.239  Date_of_death = Aug2005 
 Loess Fit = -0.239  Date_of_death = Jul2005 
 Loess Fit = -0.244  Date_of_death = Jul2005 
 Loess Fit = -0.244  Date_of_death = Jun2005 
 Loess Fit = -0.249  Date_of_death = Jun2005 
 Loess Fit = -0.249  Date_of_death = May2005 
 Loess Fit = -0.254  Date_of_death = May2005 
 Loess Fit = -0.254  Date_of_death = Apr2005 
 Loess Fit = -0.259  Date_of_death = Apr2005 
 Loess Fit = -0.259  Date_of_death = Mar2005 
 Loess Fit = -0.264  Date_of_death = Mar2005 
 Loess Fit = -0.264  Date_of_death = Feb2005 
 Loess Fit = -0.269  Date_of_death = Feb2005 
 Loess Fit = -0.269  Date_of_death = Jan2005 
 Loess Fit = -0.274  Date_of_death = Jan2005 
 Loess Fit = -0.274  Date_of_death = Dec2004 
 Loess Fit = -0.279  Date_of_death = Dec2004 
 Loess Fit = -0.279  Date_of_death = Oct2004 
 Loess Fit = -0.284  Date_of_death = Oct2004 
 Loess Fit = -0.284  Date_of_death = Sep2004 
 Loess Fit = -0.289  Date_of_death = Sep2004 
 Loess Fit = -0.289  Date_of_death = Aug2004 
 Loess Fit = -0.294  Date_of_death = Aug2004 
 Loess Fit = -0.294  Date_of_death = Jul2004 
 Loess Fit = -0.299  Date_of_death = Jul2004 
 Loess Fit = -0.299  Date_of_death = Jun2004 
 Loess Fit = -0.304  Date_of_death = Jun2004 
 Loess Fit = -0.304  Date_of_death = May2004 
 Loess Fit = -0.309  Date_of_death = May2004 
 Loess Fit = -0.309  Date_of_death = Apr2004 
 Loess Fit = -0.314  Date_of_death = Apr2004 
 Loess Fit = -0.314  Date_of_death = Mar2004 
 Loess Fit = -0.319  Date_of_death = Mar2004 
 Loess Fit = -0.319  Date_of_death = Feb2004 
 Loess Fit = -0.324  Date_of_death = Feb2004 
 Loess Fit = -0.324  Date_of_death = Jan2004 
 Loess Fit = -0.329  Date_of_death = Jan2004 
 Loess Fit = -0.329  Date_of_death = Dec2003 
 Loess Fit = -0.334  Date_of_death = Dec2003 
 Loess Fit = -0.334  Date_of_death = Oct2003 
 Loess Fit = -0.339  Date_of_death = Oct2003 
 Loess Fit = -0.339  Date_of_death = Sep2003 
 Loess Fit = -0.344  Date_of_death = Sep2003 
 Loess Fit = -0.344  Date_of_death = Aug2003 
 Loess Fit = -0.349  Date_of_death = Aug2003 
 Loess Fit = -0.349  Date_of_death = Jul2003 
 Loess Fit = -0.354  Date_of_death = Jul2003 
 Loess Fit = -0.354  Date_of_death = Jun2003 
 Loess Fit = -0.359  Date_of_death = Jun2003 
 Loess Fit = -0.359  Date_of_death = May2003 
 Loess Fit = -0.364  Date_of_death = May2003 
 Loess Fit = -0.364  Date_of_death = Apr2003 
 Loess Fit = -0.369  Date_of_death = Apr2003 
 Loess Fit = -0.369  Date_of_death = Mar2003 
 Loess Fit = -0.374  Date_of_death = Mar2003 
 Loess Fit = -0.374  Date_of_death = Feb2003 
 Loess Fit = -0.378  Date_of_death = Feb2003 
 Loess Fit = -0.378  Date_of_death = Jan2003 
 Loess Fit = -0.383  Date_of_death = Jan2003 
 Loess Fit = -0.383  Date_of_death = Dec2002 
 Loess Fit = -0.388  Date_of_death = Dec2002 
 Loess Fit = -0.388  Date_of_death = Oct2002 
 Loess Fit = -0.393  Date_of_death = Oct2002 
 Loess Fit = -0.393  Date_of_death = Sep2002 
 Loess Fit = -0.398  Date_of_death = Sep2002 
 Loess Fit = -0.398  Date_of_death = Aug2002 
 Loess Fit = -0.403  Date_of_death = Aug2002 
 Loess Fit = -0.403  Date_of_death = Jul2002 
 Loess Fit = -0.408  Date_of_death = Jul2002 
 Loess Fit = -0.408  Date_of_death = Jun2002 
 Loess Fit = -0.412  Date_of_death = Jun2002 
 Loess Fit = -0.412  Date_of_death = May2002 
 Loess Fit = -0.417  Date_of_death = May2002 
 Loess Fit = -0.417  Date_of_death = Apr2002 
 Loess Fit = -0.422  Date_of_death = Apr2002 
 Loess Fit = -0.422  Date_of_death = Mar2002 
 Loess Fit = -0.427  Date_of_death = Mar2002 
 Loess Fit = -0.427  Date_of_death = Feb2002 
 Loess Fit = -0.432  Date_of_death = Feb2002 
 Loess Fit = -0.432  Date_of_death = Jan2002 
 Loess Fit = -0.437  Date_of_death = Jan2002 
 Loess Fit = -0.437  Date_of_death = Nov2001 
 Loess Fit = -0.441  Date_of_death = Nov2001 
 Loess Fit = -0.441  Date_of_death = Oct2001 
 Loess Fit = -0.446  Date_of_death = Oct2001 
 Loess Fit = -0.446  Date_of_death = Sep2001 
 Loess Fit = -0.451  Date_of_death = Sep2001 
 Loess Fit = -0.451  Date_of_death = Aug2001 
 Loess Fit = -0.456  Date_of_death = Aug2001 
 Loess Fit = -0.456  Date_of_death = Jul2001 
 Loess Fit = -0.461  Date_of_death = Jul2001 
 Loess Fit = -0.461  Date_of_death = Jun2001 
 Loess Fit = -0.466  Date_of_death = Jun2001 
 Loess Fit = -0.466  Date_of_death = May2001 
 Loess Fit = -0.471  Date_of_death = May2001 
 Loess Fit = -0.471  Date_of_death = Apr2001 
 Loess Fit = -0.475  Date_of_death = Apr2001 
 Loess Fit = -0.475  Date_of_death = Mar2001 
 Loess Fit = -0.48  Date_of_death = Mar2001 
 Loess Fit = -0.48  Date_of_death = Feb2001 
 Loess Fit = -0.485  Date_of_death = Feb2001 
 Loess Fit = -0.485  Date_of_death = Jan2001 
 Loess Fit = -0.49  Date_of_death = Apr2019 
 Prediction Error = -3.13  Date_of_death = Mar2019 
 Prediction Error = 1.2416  Date_of_death = Feb2019 
 Prediction Error = 1.1353  Date_of_death = Jan2019 
 Prediction Error = 1.2448  Date_of_death = Dec2018 
 Prediction Error = -2.697  Date_of_death = Nov2018 
 Prediction Error = 1.4229  Date_of_death = Oct2018 
 Prediction Error = 0.5009  Date_of_death = Sep2018 
 Prediction Error = 0.9903  Date_of_death = Aug2018 
 Prediction Error = 0.5137  Date_of_death = Jul2018 
 Prediction Error = 1.7025  Date_of_death = Jun2018 
 Prediction Error = 0.9694  Date_of_death = May2018 
 Prediction Error = 1.7151  Date_of_death = Apr2018 
 Prediction Error = 1.3908  Date_of_death = Mar2018 
 Prediction Error = 1.8081  Date_of_death = Feb2018 
 Prediction Error = 1.7221  Date_of_death = Jan2018 
 Prediction Error = -2.56  Date_of_death = Dec2017 
 Prediction Error = -2.489  Date_of_death = Nov2017 
 Prediction Error = 1.8923  Date_of_death = Oct2017 
 Prediction Error = 0.9363  Date_of_death = Sep2017 
 Prediction Error = 1.4756  Date_of_death = Aug2017 
 Prediction Error = -2.334  Date_of_death = Jul2017 
 Prediction Error = -2.32  Date_of_death = Jun2017 
 Prediction Error = -3.292  Date_of_death = May2017 
 Prediction Error = -2.709  Date_of_death = Apr2017 
 Prediction Error = 1.1673  Date_of_death = Mar2017 
 Prediction Error = 1.5925  Date_of_death = Feb2017 
 Prediction Error = 1.4839  Date_of_death = Jan2017 
 Prediction Error = 1.3705  Date_of_death = Dec2016 
 Prediction Error = -2.806  Date_of_death = Nov2016 
 Prediction Error = -1.499  Date_of_death = Oct2016 
 Prediction Error = 0.6559  Date_of_death = Sep2016 
 Prediction Error = -2.127  Date_of_death = Aug2016 
 Prediction Error = 1.4371  Date_of_death = Jul2016 
 Prediction Error = 1.6357  Date_of_death = Jun2016 
 Prediction Error = 0.7971  Date_of_death = May2016 
 Prediction Error = -2.83  Date_of_death = Apr2016 
 Prediction Error = -3.161  Date_of_death = Mar2016 
 Prediction Error = 1.5327  Date_of_death = Feb2016 
 Prediction Error = 1.4084  Date_of_death = Jan2016 
 Prediction Error = 1.2786  Date_of_death = Dec2015 
 Prediction Error = 1.2867  Date_of_death = Nov2015 
 Prediction Error = -2.7  Date_of_death = Oct2015 
 Prediction Error = 0.6624  Date_of_death = Sep2015 
 Prediction Error = 1.0423  Date_of_death = Aug2015 
 Prediction Error = 1.6497  Date_of_death = Jul2015 
 Prediction Error = -2.599  Date_of_death = Jun2015 
 Prediction Error = -2.582  Date_of_death = May2015 
 Prediction Error = 1.2049  Date_of_death = Apr2015 
 Prediction Error = 1.0516  Date_of_death = Mar2015 
 Prediction Error = 1.799  Date_of_death = Feb2015 
 Prediction Error = 1.6746  Date_of_death = Jan2015 
 Prediction Error = 1.545  Date_of_death = Dec2014 
 Prediction Error = -2.917  Date_of_death = Nov2014 
 Prediction Error = 1.582  Date_of_death = Oct2014 
 Prediction Error = 0.909  Date_of_death = Sep2014 
 Prediction Error = 1.3262  Date_of_death = Aug2014 
 Prediction Error = -1.376  Date_of_death = Jul2014 
 Prediction Error = 1.7753  Date_of_death = Jun2014 
 Prediction Error = 0.888  Date_of_death = May2014 
 Prediction Error = 1.7537  Date_of_death = Apr2014 
 Prediction Error = 1.6137  Date_of_death = Mar2014 
 Prediction Error = 2.4397  Date_of_death = Feb2014 
 Prediction Error = -2.153  Date_of_death = Jan2014 
 Prediction Error = 2.0117  Date_of_death = Dec2013 
 Prediction Error = 1.7382  Date_of_death = Nov2013 
 Prediction Error = 2.3054  Date_of_death = Oct2013 
 Prediction Error = 1.6122  Date_of_death = Sep2013 
 Prediction Error = 2.0945  Date_of_death = Aug2013 
 Prediction Error = -1.906  Date_of_death = Jul2013 
 Prediction Error = -1.908  Date_of_death = Jun2013 
 Prediction Error = 1.47  Date_of_death = May2013 
 Prediction Error = 1.3022  Date_of_death = Apr2013 
 Prediction Error = -1.126  Date_of_death = Mar2013 
 Prediction Error = -1.494  Date_of_death = Feb2013 
 Prediction Error = 2.3856  Date_of_death = Jan2013 
 Prediction Error = -1.925  Date_of_death = Dec2012 
 Prediction Error = -1.287  Date_of_death = Nov2012 
 Prediction Error = 0.3154  Date_of_death = Oct2012 
 Prediction Error = 1.7292  Date_of_death = Sep2012 
 Prediction Error = 2.2497  Date_of_death = Aug2012 
 Prediction Error = 0.1809  Date_of_death = Jul2012 
 Prediction Error = 2.5486  Date_of_death = Jun2012 
 Prediction Error = 1.8885  Date_of_death = May2012 
 Prediction Error = -0.544  Date_of_death = Apr2012 
 Prediction Error = -0.996  Date_of_death = Mar2012 
 Prediction Error = -1.382  Date_of_death = Feb2012 
 Prediction Error = -1.699  Date_of_death = Jan2012 
 Prediction Error = 2.5007  Date_of_death = Dec2011 
 Prediction Error = -2.278  Date_of_death = Nov2011 
 Prediction Error = 2.8517  Date_of_death = Oct2011 
 Prediction Error = -2.331  Date_of_death = Sep2011 
 Prediction Error = -0.813  Date_of_death = Aug2011 
 Prediction Error = -2.076  Date_of_death = Jul2011 
 Prediction Error = 2.6819  Date_of_death = Jun2011 
 Prediction Error = -1.465  Date_of_death = May2011 
 Prediction Error = 0.2819  Date_of_death = Apr2011 
 Prediction Error = 2.1071  Date_of_death = Mar2011 
 Prediction Error = -1.59  Date_of_death = Feb2011 
 Prediction Error = -0.799  Date_of_death = Jan2011 
 Prediction Error = 2.6881  Date_of_death = Dec2010 
 Prediction Error = -2.547  Date_of_death = Nov2010 
 Prediction Error = -1.503  Date_of_death = Oct2010 
 Prediction Error = 1.7796  Date_of_death = Sep2010 
 Prediction Error = -0.953  Date_of_death = Aug2010 
 Prediction Error = 2.2499  Date_of_death = Jul2010 
 Prediction Error = -1.505  Date_of_death = Jun2010 
 Prediction Error = 1.7779  Date_of_death = May2010 
 Prediction Error = -0.745  Date_of_death = Apr2010 
 Prediction Error = -2.232  Date_of_death = Mar2010 
 Prediction Error = -1.906  Date_of_death = Feb2010 
 Prediction Error = 2.4035  Date_of_death = Jan2010 
 Prediction Error = -1.66  Date_of_death = Dec2009 
 Prediction Error = 1.5813  Date_of_death = Nov2009 
 Prediction Error = -1.703  Date_of_death = Oct2009 
 Prediction Error = 1.9404  Date_of_death = Sep2009 
 Prediction Error = 2.3807  Date_of_death = Aug2009 
 Prediction Error = 2.6094  Date_of_death = Jul2009 
 Prediction Error = -0.396  Date_of_death = Jun2009 
 Prediction Error = -2.49  Date_of_death = May2009 
 Prediction Error = 2.6292  Date_of_death = Apr2009 
 Prediction Error = -2.347  Date_of_death = Mar2009 
 Prediction Error = -0.816  Date_of_death = Feb2009 
 Prediction Error = 0.549  Date_of_death = Jan2009 
 Prediction Error = 1.7428  Date_of_death = Dec2008 
 Prediction Error = -1.474  Date_of_death = Nov2008 
 Prediction Error = -0.613  Date_of_death = Oct2008 
 Prediction Error = -2.321  Date_of_death = Sep2008 
 Prediction Error = -0.846  Date_of_death = Aug2008 
 Prediction Error = 2.7754  Date_of_death = Jul2008 
 Prediction Error = 2.9032  Date_of_death = Jun2008 
 Prediction Error = 1.8656  Date_of_death = May2008 
 Prediction Error = -1.56  Date_of_death = Apr2008 
 Prediction Error = 2.0343  Date_of_death = Mar2008 
 Prediction Error = -1.906  Date_of_death = Feb2008 
 Prediction Error = -1.584  Date_of_death = Jan2008 
 Prediction Error = 0.8363  Date_of_death = Dec2007 
 Prediction Error = 1.8857  Date_of_death = Nov2007 
 Prediction Error = -1.74  Date_of_death = Oct2007 
 Prediction Error = -1.351  Date_of_death = Sep2007 
 Prediction Error = -0.798  Date_of_death = Aug2007 
 Prediction Error = -1.413  Date_of_death = Jul2007 
 Prediction Error = -0.269  Date_of_death = Jun2007 
 Prediction Error = 1.9618  Date_of_death = May2007 
 Prediction Error = -0.771  Date_of_death = Apr2007 
 Prediction Error = -2.575  Date_of_death = Mar2007 
 Prediction Error = -0.142  Date_of_death = Feb2007 
 Prediction Error = -0.881  Date_of_death = Jan2007 
 Prediction Error = 3.1104  Date_of_death = Dec2006 
 Prediction Error = 2.0579  Date_of_death = Nov2006 
 Prediction Error = -2.175  Date_of_death = Oct2006 
 Prediction Error = -0.515  Date_of_death = Sep2006 
 Prediction Error = 2.5956  Date_of_death = Aug2006 
 Prediction Error = -0.405  Date_of_death = Jul2006 
 Prediction Error = -1.445  Date_of_death = Jun2006 
 Prediction Error = -1.314  Date_of_death = May2006 
 Prediction Error = -2.219  Date_of_death = Apr2006 
 Prediction Error = -1.949  Date_of_death = Mar2006 
 Prediction Error = -1.496  Date_of_death = Feb2006 
 Prediction Error = 2.4404  Date_of_death = Jan2006 
 Prediction Error = -0.051  Date_of_death = Dec2005 
 Prediction Error = -2.696  Date_of_death = Nov2005 
 Prediction Error = 1.9847  Date_of_death = Oct2005 
 Prediction Error = -2.076  Date_of_death = Sep2005 
 Prediction Error = 2.8347  Date_of_death = Aug2005 
 Prediction Error = -2.024  Date_of_death = Jul2005 
 Prediction Error = -2.087  Date_of_death = Jun2005 
 Prediction Error = 1.7868  Date_of_death = May2005 
 Prediction Error = -2.906  Date_of_death = Apr2005 
 Prediction Error = 1.1444  Date_of_death = Mar2005 
 Prediction Error = 1.8201  Date_of_death = Feb2005 
 Prediction Error = 2.9384  Date_of_death = Jan2005 
 Prediction Error = -1.296  Date_of_death = Dec2004 
 Prediction Error = -0.818  Date_of_death = Nov2004 
 Prediction Error = 2.5284  Date_of_death = Oct2004 
 Prediction Error = -2.536  Date_of_death = Sep2004 
 Prediction Error = -1.572  Date_of_death = Aug2004 
 Prediction Error = 2.5233  Date_of_death = Jul2004 
 Prediction Error = 2.6244  Date_of_death = Jun2004 
 Prediction Error = -2.696  Date_of_death = May2004 
 Prediction Error = -3.546  Date_of_death = Apr2004 
 Prediction Error = 1.5164  Date_of_death = Mar2004 
 Prediction Error = -1.52  Date_of_death = Feb2004 
 Prediction Error = -1.56  Date_of_death = Jan2004 
 Prediction Error = -1.861  Date_of_death = Dec2003 
 Prediction Error = -2.699  Date_of_death = Nov2003 
 Prediction Error = -2.423  Date_of_death = Oct2003 
 Prediction Error = 0.2587  Date_of_death = Sep2003 
 Prediction Error = -2.469  Date_of_death = Aug2003 
 Prediction Error = -2.534  Date_of_death = Jul2003 
 Prediction Error = -2.604  Date_of_death = Jun2003 
 Prediction Error = -3.023  Date_of_death = May2003 
 Prediction Error = -0.025  Date_of_death = Apr2003 
 Prediction Error = 1.3458  Date_of_death = Mar2003 
 Prediction Error = 1.3859  Date_of_death = Feb2003 
 Prediction Error = -2.692  Date_of_death = Jan2003 
 Prediction Error = 2.377  Date_of_death = Dec2002 
 Prediction Error = 0.0524  Date_of_death = Nov2002 
 Prediction Error = -4.036  Date_of_death = Oct2002 
 Prediction Error = -0.04  Date_of_death = Sep2002 
 Prediction Error = -4.136  Date_of_death = Aug2002 
 Prediction Error = 1.8994  Date_of_death = Jul2002 
 Prediction Error = 1.9378  Date_of_death = Jun2002 
 Prediction Error = -0.067  Date_of_death = May2002 
 Prediction Error = -0.072  Date_of_death = Apr2002 
 Prediction Error = 1.9699  Date_of_death = Mar2002 
 Prediction Error = 2.0154  Date_of_death = Feb2002 
 Prediction Error = 2.0649  Date_of_death = Jan2002 
 Prediction Error = -2.491  Date_of_death = Dec2001 
 Prediction Error = 0.0059  Date_of_death = Nov2001 
 Prediction Error = 0.0072  Date_of_death = Oct2001 
 Prediction Error = 0.0085  Date_of_death = Sep2001 
 Prediction Error = 0.0099  Date_of_death = Aug2001 
 Prediction Error = -4.049  Date_of_death = Jul2001 
 Prediction Error = 4.0069  Date_of_death = Jun2001 
 Prediction Error = 0.0083  Date_of_death = May2001 
 Prediction Error = 0.0096  Date_of_death = Apr2001 
 Prediction Error = 4.0719  Date_of_death = Mar2001 
 Prediction Error = -3.982  Date_of_death = Feb2001 
 Prediction Error = -4.043  Date_of_death = Jan2001 
 Prediction Error = 3  Date_of_death = Apr2019 
 2*STD = 3.7137 
 -2*STD = -3.714  Date_of_death = Mar2019 
 2*STD = 3.7137 
 -2*STD = -3.714  Date_of_death = Mar2019 
 2*STD = 3.7137 
 -2*STD = -3.714  Date_of_death = Feb2019 
 2*STD = 3.7138 
 -2*STD = -3.714  Date_of_death = Feb2019 
 2*STD = 3.7138 
 -2*STD = -3.714  Date_of_death = Jan2019 
 2*STD = 3.7139 
 -2*STD = -3.714  Date_of_death = Jan2019 
 2*STD = 3.7139 
 -2*STD = -3.714  Date_of_death = Dec2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Dec2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Nov2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Nov2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Oct2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Oct2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Sep2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Sep2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Aug2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Aug2018 
 2*STD = 3.7182 
 -2*STD = -3.718  Date_of_death = Jul2018 
 2*STD = 3.7183 
 -2*STD = -3.718  Date_of_death = Jul2018 
 2*STD = 3.7183 
 -2*STD = -3.718  Date_of_death = Jun2018 
 2*STD = 3.7183 
 -2*STD = -3.718  Date_of_death = Jun2018 
 2*STD = 3.7183 
 -2*STD = -3.718  Date_of_death = May2018 
 2*STD = 3.7184 
 -2*STD = -3.718  Date_of_death = May2018 
 2*STD = 3.7184 
 -2*STD = -3.718  Date_of_death = Apr2018 
 2*STD = 3.7184 
 -2*STD = -3.718  Date_of_death = Apr2018 
 2*STD = 3.7184 
 -2*STD = -3.718  Date_of_death = Mar2018 
 2*STD = 3.7185 
 -2*STD = -3.718  Date_of_death = Mar2018 
 2*STD = 3.7185 
 -2*STD = -3.718  Date_of_death = Feb2018 
 2*STD = 3.7185 
 -2*STD = -3.719  Date_of_death = Feb2018 
 2*STD = 3.7185 
 -2*STD = -3.719  Date_of_death = Jan2018 
 2*STD = 3.7186 
 -2*STD = -3.719  Date_of_death = Jan2018 
 2*STD = 3.7186 
 -2*STD = -3.719  Date_of_death = Dec2017 
 2*STD = 3.7234 
 -2*STD = -3.723  Date_of_death = Dec2017 
 2*STD = 3.7234 
 -2*STD = -3.723  Date_of_death = Nov2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Nov2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Oct2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Oct2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Sep2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Sep2017 
 2*STD = 3.7235 
 -2*STD = -3.723  Date_of_death = Aug2017 
 2*STD = 3.7235 
 -2*STD = -3.724  Date_of_death = Aug2017 
 2*STD = 3.7235 
 -2*STD = -3.724  Date_of_death = Jul2017 
 2*STD = 3.7235 
 -2*STD = -3.724  Date_of_death = Jul2017 
 2*STD = 3.7235 
 -2*STD = -3.724  Date_of_death = Jun2017 
 2*STD = 3.7236 
 -2*STD = -3.724  Date_of_death = Jun2017 
 2*STD = 3.7236 
 -2*STD = -3.724  Date_of_death = May2017 
 2*STD = 3.7236 
 -2*STD = -3.724  Date_of_death = May2017 
 2*STD = 3.7236 
 -2*STD = -3.724  Date_of_death = Apr2017 
 2*STD = 3.7237 
 -2*STD = -3.724  Date_of_death = Apr2017 
 2*STD = 3.7237 
 -2*STD = -3.724  Date_of_death = Mar2017 
 2*STD = 3.7238 
 -2*STD = -3.724  Date_of_death = Mar2017 
 2*STD = 3.7238 
 -2*STD = -3.724  Date_of_death = Feb2017 
 2*STD = 3.7238 
 -2*STD = -3.724  Date_of_death = Feb2017 
 2*STD = 3.7238 
 -2*STD = -3.724  Date_of_death = Jan2017 
 2*STD = 3.7239 
 -2*STD = -3.724  Date_of_death = Jan2017 
 2*STD = 3.7239 
 -2*STD = -3.724  Date_of_death = Dec2016 
 2*STD = 3.7293 
 -2*STD = -3.729  Date_of_death = Dec2016 
 2*STD = 3.7293 
 -2*STD = -3.729  Date_of_death = Nov2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Nov2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Oct2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Oct2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Sep2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Sep2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Aug2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Aug2016 
 2*STD = 3.7294 
 -2*STD = -3.729  Date_of_death = Jul2016 
 2*STD = 3.7295 
 -2*STD = -3.729  Date_of_death = Jul2016 
 2*STD = 3.7295 
 -2*STD = -3.729  Date_of_death = Jun2016 
 2*STD = 3.7295 
 -2*STD = -3.73  Date_of_death = Jun2016 
 2*STD = 3.7295 
 -2*STD = -3.73  Date_of_death = May2016 
 2*STD = 3.7296 
 -2*STD = -3.73  Date_of_death = May2016 
 2*STD = 3.7296 
 -2*STD = -3.73  Date_of_death = Apr2016 
 2*STD = 3.7296 
 -2*STD = -3.73  Date_of_death = Apr2016 
 2*STD = 3.7296 
 -2*STD = -3.73  Date_of_death = Mar2016 
 2*STD = 3.7297 
 -2*STD = -3.73  Date_of_death = Mar2016 
 2*STD = 3.7297 
 -2*STD = -3.73  Date_of_death = Feb2016 
 2*STD = 3.7298 
 -2*STD = -3.73  Date_of_death = Feb2016 
 2*STD = 3.7298 
 -2*STD = -3.73  Date_of_death = Jan2016 
 2*STD = 3.7299 
 -2*STD = -3.73  Date_of_death = Jan2016 
 2*STD = 3.7299 
 -2*STD = -3.73  Date_of_death = Dec2015 
 2*STD = 3.736 
 -2*STD = -3.736  Date_of_death = Dec2015 
 2*STD = 3.736 
 -2*STD = -3.736  Date_of_death = Nov2015 
 2*STD = 3.736 
 -2*STD = -3.736  Date_of_death = Nov2015 
 2*STD = 3.736 
 -2*STD = -3.736  Date_of_death = Oct2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Oct2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Sep2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Sep2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Aug2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Aug2015 
 2*STD = 3.7361 
 -2*STD = -3.736  Date_of_death = Jul2015 
 2*STD = 3.7362 
 -2*STD = -3.736  Date_of_death = Jul2015 
 2*STD = 3.7362 
 -2*STD = -3.736  Date_of_death = Jun2015 
 2*STD = 3.7362 
 -2*STD = -3.736  Date_of_death = Jun2015 
 2*STD = 3.7362 
 -2*STD = -3.736  Date_of_death = May2015 
 2*STD = 3.7363 
 -2*STD = -3.736  Date_of_death = May2015 
 2*STD = 3.7363 
 -2*STD = -3.736  Date_of_death = Apr2015 
 2*STD = 3.7363 
 -2*STD = -3.736  Date_of_death = Apr2015 
 2*STD = 3.7363 
 -2*STD = -3.736  Date_of_death = Mar2015 
 2*STD = 3.7364 
 -2*STD = -3.736  Date_of_death = Mar2015 
 2*STD = 3.7364 
 -2*STD = -3.736  Date_of_death = Feb2015 
 2*STD = 3.7365 
 -2*STD = -3.737  Date_of_death = Feb2015 
 2*STD = 3.7365 
 -2*STD = -3.737  Date_of_death = Jan2015 
 2*STD = 3.7367 
 -2*STD = -3.737  Date_of_death = Jan2015 
 2*STD = 3.7367 
 -2*STD = -3.737  Date_of_death = Dec2014 
 2*STD = 3.7436 
 -2*STD = -3.744  Date_of_death = Dec2014 
 2*STD = 3.7436 
 -2*STD = -3.744  Date_of_death = Nov2014 
 2*STD = 3.7436 
 -2*STD = -3.744  Date_of_death = Nov2014 
 2*STD = 3.7436 
 -2*STD = -3.744  Date_of_death = Oct2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Oct2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Sep2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Sep2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Aug2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Aug2014 
 2*STD = 3.7437 
 -2*STD = -3.744  Date_of_death = Jul2014 
 2*STD = 3.7438 
 -2*STD = -3.744  Date_of_death = Jul2014 
 2*STD = 3.7438 
 -2*STD = -3.744  Date_of_death = Jun2014 
 2*STD = 3.7439 
 -2*STD = -3.744  Date_of_death = Jun2014 
 2*STD = 3.7439 
 -2*STD = -3.744  Date_of_death = May2014 
 2*STD = 3.7439 
 -2*STD = -3.744  Date_of_death = May2014 
 2*STD = 3.7439 
 -2*STD = -3.744  Date_of_death = Apr2014 
 2*STD = 3.744 
 -2*STD = -3.744  Date_of_death = Apr2014 
 2*STD = 3.744 
 -2*STD = -3.744  Date_of_death = Mar2014 
 2*STD = 3.7441 
 -2*STD = -3.744  Date_of_death = Mar2014 
 2*STD = 3.7441 
 -2*STD = -3.744  Date_of_death = Feb2014 
 2*STD = 3.7442 
 -2*STD = -3.744  Date_of_death = Feb2014 
 2*STD = 3.7442 
 -2*STD = -3.744  Date_of_death = Jan2014 
 2*STD = 3.7444 
 -2*STD = -3.744  Date_of_death = Jan2014 
 2*STD = 3.7444 
 -2*STD = -3.744  Date_of_death = Dec2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Dec2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Nov2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Nov2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Oct2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Oct2013 
 2*STD = 3.7524 
 -2*STD = -3.752  Date_of_death = Sep2013 
 2*STD = 3.7525 
 -2*STD = -3.752  Date_of_death = Sep2013 
 2*STD = 3.7525 
 -2*STD = -3.752  Date_of_death = Aug2013 
 2*STD = 3.7525 
 -2*STD = -3.753  Date_of_death = Aug2013 
 2*STD = 3.7525 
 -2*STD = -3.753  Date_of_death = Jul2013 
 2*STD = 3.7526 
 -2*STD = -3.753  Date_of_death = Jul2013 
 2*STD = 3.7526 
 -2*STD = -3.753  Date_of_death = Jun2013 
 2*STD = 3.7526 
 -2*STD = -3.753  Date_of_death = Jun2013 
 2*STD = 3.7526 
 -2*STD = -3.753  Date_of_death = May2013 
 2*STD = 3.7527 
 -2*STD = -3.753  Date_of_death = May2013 
 2*STD = 3.7527 
 -2*STD = -3.753  Date_of_death = Apr2013 
 2*STD = 3.7528 
 -2*STD = -3.753  Date_of_death = Apr2013 
 2*STD = 3.7528 
 -2*STD = -3.753  Date_of_death = Mar2013 
 2*STD = 3.7529 
 -2*STD = -3.753  Date_of_death = Mar2013 
 2*STD = 3.7529 
 -2*STD = -3.753  Date_of_death = Feb2013 
 2*STD = 3.7531 
 -2*STD = -3.753  Date_of_death = Feb2013 
 2*STD = 3.7531 
 -2*STD = -3.753  Date_of_death = Jan2013 
 2*STD = 3.7532 
 -2*STD = -3.753  Date_of_death = Jan2013 
 2*STD = 3.7532 
 -2*STD = -3.753  Date_of_death = Dec2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Dec2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Nov2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Nov2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Oct2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Oct2012 
 2*STD = 3.7626 
 -2*STD = -3.763  Date_of_death = Sep2012 
 2*STD = 3.7627 
 -2*STD = -3.763  Date_of_death = Sep2012 
 2*STD = 3.7627 
 -2*STD = -3.763  Date_of_death = Aug2012 
 2*STD = 3.7627 
 -2*STD = -3.763  Date_of_death = Aug2012 
 2*STD = 3.7627 
 -2*STD = -3.763  Date_of_death = Jul2012 
 2*STD = 3.7628 
 -2*STD = -3.763  Date_of_death = Jul2012 
 2*STD = 3.7628 
 -2*STD = -3.763  Date_of_death = Jun2012 
 2*STD = 3.7629 
 -2*STD = -3.763  Date_of_death = Jun2012 
 2*STD = 3.7629 
 -2*STD = -3.763  Date_of_death = May2012 
 2*STD = 3.763 
 -2*STD = -3.763  Date_of_death = May2012 
 2*STD = 3.763 
 -2*STD = -3.763  Date_of_death = Apr2012 
 2*STD = 3.7631 
 -2*STD = -3.763  Date_of_death = Apr2012 
 2*STD = 3.7631 
 -2*STD = -3.763  Date_of_death = Mar2012 
 2*STD = 3.7632 
 -2*STD = -3.763  Date_of_death = Mar2012 
 2*STD = 3.7632 
 -2*STD = -3.763  Date_of_death = Feb2012 
 2*STD = 3.7634 
 -2*STD = -3.763  Date_of_death = Feb2012 
 2*STD = 3.7634 
 -2*STD = -3.763  Date_of_death = Jan2012 
 2*STD = 3.7636 
 -2*STD = -3.764  Date_of_death = Jan2012 
 2*STD = 3.7636 
 -2*STD = -3.764  Date_of_death = Dec2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Dec2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Nov2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Nov2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Oct2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Oct2011 
 2*STD = 3.7746 
 -2*STD = -3.775  Date_of_death = Sep2011 
 2*STD = 3.7747 
 -2*STD = -3.775  Date_of_death = Sep2011 
 2*STD = 3.7747 
 -2*STD = -3.775  Date_of_death = Aug2011 
 2*STD = 3.7748 
 -2*STD = -3.775  Date_of_death = Aug2011 
 2*STD = 3.7748 
 -2*STD = -3.775  Date_of_death = Jul2011 
 2*STD = 3.7748 
 -2*STD = -3.775  Date_of_death = Jul2011 
 2*STD = 3.7748 
 -2*STD = -3.775  Date_of_death = Jun2011 
 2*STD = 3.7749 
 -2*STD = -3.775  Date_of_death = Jun2011 
 2*STD = 3.7749 
 -2*STD = -3.775  Date_of_death = May2011 
 2*STD = 3.775 
 -2*STD = -3.775  Date_of_death = May2011 
 2*STD = 3.775 
 -2*STD = -3.775  Date_of_death = Apr2011 
 2*STD = 3.7752 
 -2*STD = -3.775  Date_of_death = Apr2011 
 2*STD = 3.7752 
 -2*STD = -3.775  Date_of_death = Mar2011 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Mar2011 
 2*STD = 3.7753 
 -2*STD = -3.775  Date_of_death = Feb2011 
 2*STD = 3.7755 
 -2*STD = -3.776  Date_of_death = Feb2011 
 2*STD = 3.7755 
 -2*STD = -3.776  Date_of_death = Jan2011 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Jan2011 
 2*STD = 3.7757 
 -2*STD = -3.776  Date_of_death = Dec2010 
 2*STD = 3.7889 
 -2*STD = -3.789  Date_of_death = Dec2010 
 2*STD = 3.7889 
 -2*STD = -3.789  Date_of_death = Nov2010 
 2*STD = 3.7889 
 -2*STD = -3.789  Date_of_death = Nov2010 
 2*STD = 3.7889 
 -2*STD = -3.789  Date_of_death = Oct2010 
 2*STD = 3.789 
 -2*STD = -3.789  Date_of_death = Oct2010 
 2*STD = 3.789 
 -2*STD = -3.789  Date_of_death = Sep2010 
 2*STD = 3.789 
 -2*STD = -3.789  Date_of_death = Sep2010 
 2*STD = 3.789 
 -2*STD = -3.789  Date_of_death = Aug2010 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Aug2010 
 2*STD = 3.7891 
 -2*STD = -3.789  Date_of_death = Jul2010 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jul2010 
 2*STD = 3.7892 
 -2*STD = -3.789  Date_of_death = Jun2010 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = Jun2010 
 2*STD = 3.7893 
 -2*STD = -3.789  Date_of_death = May2010 
 2*STD = 3.7895 
 -2*STD = -3.789  Date_of_death = May2010 
 2*STD = 3.7895 
 -2*STD = -3.789  Date_of_death = Apr2010 
 2*STD = 3.7896 
 -2*STD = -3.79  Date_of_death = Apr2010 
 2*STD = 3.7896 
 -2*STD = -3.79  Date_of_death = Mar2010 
 2*STD = 3.7898 
 -2*STD = -3.79  Date_of_death = Mar2010 
 2*STD = 3.7898 
 -2*STD = -3.79  Date_of_death = Feb2010 
 2*STD = 3.79 
 -2*STD = -3.79  Date_of_death = Feb2010 
 2*STD = 3.79 
 -2*STD = -3.79  Date_of_death = Jan2010 
 2*STD = 3.7903 
 -2*STD = -3.79  Date_of_death = Jan2010 
 2*STD = 3.7903 
 -2*STD = -3.79  Date_of_death = Dec2009 
 2*STD = 3.8063 
 -2*STD = -3.806  Date_of_death = Dec2009 
 2*STD = 3.8063 
 -2*STD = -3.806  Date_of_death = Nov2009 
 2*STD = 3.8064 
 -2*STD = -3.806  Date_of_death = Nov2009 
 2*STD = 3.8064 
 -2*STD = -3.806  Date_of_death = Oct2009 
 2*STD = 3.8064 
 -2*STD = -3.806  Date_of_death = Oct2009 
 2*STD = 3.8064 
 -2*STD = -3.806  Date_of_death = Sep2009 
 2*STD = 3.8065 
 -2*STD = -3.807  Date_of_death = Sep2009 
 2*STD = 3.8065 
 -2*STD = -3.807  Date_of_death = Aug2009 
 2*STD = 3.8066 
 -2*STD = -3.807  Date_of_death = Aug2009 
 2*STD = 3.8066 
 -2*STD = -3.807  Date_of_death = Jul2009 
 2*STD = 3.8067 
 -2*STD = -3.807  Date_of_death = Jul2009 
 2*STD = 3.8067 
 -2*STD = -3.807  Date_of_death = Jun2009 
 2*STD = 3.8068 
 -2*STD = -3.807  Date_of_death = Jun2009 
 2*STD = 3.8068 
 -2*STD = -3.807  Date_of_death = May2009 
 2*STD = 3.807 
 -2*STD = -3.807  Date_of_death = May2009 
 2*STD = 3.807 
 -2*STD = -3.807  Date_of_death = Apr2009 
 2*STD = 3.8072 
 -2*STD = -3.807  Date_of_death = Apr2009 
 2*STD = 3.8072 
 -2*STD = -3.807  Date_of_death = Mar2009 
 2*STD = 3.8074 
 -2*STD = -3.807  Date_of_death = Mar2009 
 2*STD = 3.8074 
 -2*STD = -3.807  Date_of_death = Feb2009 
 2*STD = 3.8077 
 -2*STD = -3.808  Date_of_death = Feb2009 
 2*STD = 3.8077 
 -2*STD = -3.808  Date_of_death = Jan2009 
 2*STD = 3.808 
 -2*STD = -3.808  Date_of_death = Jan2009 
 2*STD = 3.808 
 -2*STD = -3.808  Date_of_death = Dec2008 
 2*STD = 3.828 
 -2*STD = -3.828  Date_of_death = Dec2008 
 2*STD = 3.828 
 -2*STD = -3.828  Date_of_death = Nov2008 
 2*STD = 3.828 
 -2*STD = -3.828  Date_of_death = Nov2008 
 2*STD = 3.828 
 -2*STD = -3.828  Date_of_death = Oct2008 
 2*STD = 3.8281 
 -2*STD = -3.828  Date_of_death = Oct2008 
 2*STD = 3.8281 
 -2*STD = -3.828  Date_of_death = Sep2008 
 2*STD = 3.8282 
 -2*STD = -3.828  Date_of_death = Sep2008 
 2*STD = 3.8282 
 -2*STD = -3.828  Date_of_death = Aug2008 
 2*STD = 3.8283 
 -2*STD = -3.828  Date_of_death = Aug2008 
 2*STD = 3.8283 
 -2*STD = -3.828  Date_of_death = Jul2008 
 2*STD = 3.8284 
 -2*STD = -3.828  Date_of_death = Jul2008 
 2*STD = 3.8284 
 -2*STD = -3.828  Date_of_death = Jun2008 
 2*STD = 3.8286 
 -2*STD = -3.829  Date_of_death = Jun2008 
 2*STD = 3.8286 
 -2*STD = -3.829  Date_of_death = May2008 
 2*STD = 3.8288 
 -2*STD = -3.829  Date_of_death = May2008 
 2*STD = 3.8288 
 -2*STD = -3.829  Date_of_death = Apr2008 
 2*STD = 3.829 
 -2*STD = -3.829  Date_of_death = Apr2008 
 2*STD = 3.829 
 -2*STD = -3.829  Date_of_death = Mar2008 
 2*STD = 3.8293 
 -2*STD = -3.829  Date_of_death = Mar2008 
 2*STD = 3.8293 
 -2*STD = -3.829  Date_of_death = Feb2008 
 2*STD = 3.8296 
 -2*STD = -3.83  Date_of_death = Feb2008 
 2*STD = 3.8296 
 -2*STD = -3.83  Date_of_death = Jan2008 
 2*STD = 3.83 
 -2*STD = -3.83  Date_of_death = Jan2008 
 2*STD = 3.83 
 -2*STD = -3.83  Date_of_death = Dec2007 
 2*STD = 3.8556 
 -2*STD = -3.856  Date_of_death = Dec2007 
 2*STD = 3.8556 
 -2*STD = -3.856  Date_of_death = Nov2007 
 2*STD = 3.8557 
 -2*STD = -3.856  Date_of_death = Nov2007 
 2*STD = 3.8557 
 -2*STD = -3.856  Date_of_death = Oct2007 
 2*STD = 3.8558 
 -2*STD = -3.856  Date_of_death = Oct2007 
 2*STD = 3.8558 
 -2*STD = -3.856  Date_of_death = Sep2007 
 2*STD = 3.8559 
 -2*STD = -3.856  Date_of_death = Sep2007 
 2*STD = 3.8559 
 -2*STD = -3.856  Date_of_death = Aug2007 
 2*STD = 3.856 
 -2*STD = -3.856  Date_of_death = Aug2007 
 2*STD = 3.856 
 -2*STD = -3.856  Date_of_death = Jul2007 
 2*STD = 3.8562 
 -2*STD = -3.856  Date_of_death = Jul2007 
 2*STD = 3.8562 
 -2*STD = -3.856  Date_of_death = Jun2007 
 2*STD = 3.8564 
 -2*STD = -3.856  Date_of_death = Jun2007 
 2*STD = 3.8564 
 -2*STD = -3.856  Date_of_death = May2007 
 2*STD = 3.8566 
 -2*STD = -3.857  Date_of_death = May2007 
 2*STD = 3.8566 
 -2*STD = -3.857  Date_of_death = Apr2007 
 2*STD = 3.8569 
 -2*STD = -3.857  Date_of_death = Apr2007 
 2*STD = 3.8569 
 -2*STD = -3.857  Date_of_death = Mar2007 
 2*STD = 3.8572 
 -2*STD = -3.857  Date_of_death = Mar2007 
 2*STD = 3.8572 
 -2*STD = -3.857  Date_of_death = Feb2007 
 2*STD = 3.8576 
 -2*STD = -3.858  Date_of_death = Feb2007 
 2*STD = 3.8576 
 -2*STD = -3.858  Date_of_death = Jan2007 
 2*STD = 3.858 
 -2*STD = -3.858  Date_of_death = Jan2007 
 2*STD = 3.858 
 -2*STD = -3.858  Date_of_death = Dec2006 
 2*STD = 3.8922 
 -2*STD = -3.892  Date_of_death = Dec2006 
 2*STD = 3.8922 
 -2*STD = -3.892  Date_of_death = Nov2006 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Nov2006 
 2*STD = 3.8923 
 -2*STD = -3.892  Date_of_death = Oct2006 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Oct2006 
 2*STD = 3.8924 
 -2*STD = -3.892  Date_of_death = Sep2006 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = Sep2006 
 2*STD = 3.8925 
 -2*STD = -3.893  Date_of_death = Aug2006 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Aug2006 
 2*STD = 3.8927 
 -2*STD = -3.893  Date_of_death = Jul2006 
 2*STD = 3.8928 
 -2*STD = -3.893  Date_of_death = Jul2006 
 2*STD = 3.8928 
 -2*STD = -3.893  Date_of_death = Jun2006 
 2*STD = 3.8931 
 -2*STD = -3.893  Date_of_death = Jun2006 
 2*STD = 3.8931 
 -2*STD = -3.893  Date_of_death = May2006 
 2*STD = 3.8933 
 -2*STD = -3.893  Date_of_death = May2006 
 2*STD = 3.8933 
 -2*STD = -3.893  Date_of_death = Apr2006 
 2*STD = 3.8937 
 -2*STD = -3.894  Date_of_death = Apr2006 
 2*STD = 3.8937 
 -2*STD = -3.894  Date_of_death = Mar2006 
 2*STD = 3.8941 
 -2*STD = -3.894  Date_of_death = Mar2006 
 2*STD = 3.8941 
 -2*STD = -3.894  Date_of_death = Feb2006 
 2*STD = 3.8945 
 -2*STD = -3.895  Date_of_death = Feb2006 
 2*STD = 3.8945 
 -2*STD = -3.895  Date_of_death = Jan2006 
 2*STD = 3.8951 
 -2*STD = -3.895  Date_of_death = Jan2006 
 2*STD = 3.8951 
 -2*STD = -3.895  Date_of_death = Dec2005 
 2*STD = 3.9429 
 -2*STD = -3.943  Date_of_death = Dec2005 
 2*STD = 3.9429 
 -2*STD = -3.943  Date_of_death = Nov2005 
 2*STD = 3.943 
 -2*STD = -3.943  Date_of_death = Nov2005 
 2*STD = 3.943 
 -2*STD = -3.943  Date_of_death = Oct2005 
 2*STD = 3.9431 
 -2*STD = -3.943  Date_of_death = Oct2005 
 2*STD = 3.9431 
 -2*STD = -3.943  Date_of_death = Sep2005 
 2*STD = 3.9432 
 -2*STD = -3.943  Date_of_death = Sep2005 
 2*STD = 3.9432 
 -2*STD = -3.943  Date_of_death = Aug2005 
 2*STD = 3.9434 
 -2*STD = -3.943  Date_of_death = Aug2005 
 2*STD = 3.9434 
 -2*STD = -3.943  Date_of_death = Jul2005 
 2*STD = 3.9436 
 -2*STD = -3.944  Date_of_death = Jul2005 
 2*STD = 3.9436 
 -2*STD = -3.944  Date_of_death = Jun2005 
 2*STD = 3.9439 
 -2*STD = -3.944  Date_of_death = Jun2005 
 2*STD = 3.9439 
 -2*STD = -3.944  Date_of_death = May2005 
 2*STD = 3.9442 
 -2*STD = -3.944  Date_of_death = May2005 
 2*STD = 3.9442 
 -2*STD = -3.944  Date_of_death = Apr2005 
 2*STD = 3.9446 
 -2*STD = -3.945  Date_of_death = Apr2005 
 2*STD = 3.9446 
 -2*STD = -3.945  Date_of_death = Mar2005 
 2*STD = 3.945 
 -2*STD = -3.945  Date_of_death = Mar2005 
 2*STD = 3.945 
 -2*STD = -3.945  Date_of_death = Feb2005 
 2*STD = 3.9456 
 -2*STD = -3.946  Date_of_death = Feb2005 
 2*STD = 3.9456 
 -2*STD = -3.946  Date_of_death = Jan2005 
 2*STD = 3.9462 
 -2*STD = -3.946  Date_of_death = Jan2005 
 2*STD = 3.9462 
 -2*STD = -3.946  Date_of_death = Dec2004 
 2*STD = 4.018 
 -2*STD = -4.018  Date_of_death = Dec2004 
 2*STD = 4.018 
 -2*STD = -4.018  Date_of_death = Nov2004 
 2*STD = 4.0181 
 -2*STD = -4.018  Date_of_death = Nov2004 
 2*STD = 4.0181 
 -2*STD = -4.018  Date_of_death = Oct2004 
 2*STD = 4.0182 
 -2*STD = -4.018  Date_of_death = Oct2004 
 2*STD = 4.0182 
 -2*STD = -4.018  Date_of_death = Sep2004 
 2*STD = 4.0183 
 -2*STD = -4.018  Date_of_death = Sep2004 
 2*STD = 4.0183 
 -2*STD = -4.018  Date_of_death = Aug2004 
 2*STD = 4.0185 
 -2*STD = -4.019  Date_of_death = Aug2004 
 2*STD = 4.0185 
 -2*STD = -4.019  Date_of_death = Jul2004 
 2*STD = 4.0188 
 -2*STD = -4.019  Date_of_death = Jul2004 
 2*STD = 4.0188 
 -2*STD = -4.019  Date_of_death = Jun2004 
 2*STD = 4.019 
 -2*STD = -4.019  Date_of_death = Jun2004 
 2*STD = 4.019 
 -2*STD = -4.019  Date_of_death = May2004 
 2*STD = 4.0194 
 -2*STD = -4.019  Date_of_death = May2004 
 2*STD = 4.0194 
 -2*STD = -4.019  Date_of_death = Apr2004 
 2*STD = 4.0198 
 -2*STD = -4.02  Date_of_death = Apr2004 
 2*STD = 4.0198 
 -2*STD = -4.02  Date_of_death = Mar2004 
 2*STD = 4.0203 
 -2*STD = -4.02  Date_of_death = Mar2004 
 2*STD = 4.0203 
 -2*STD = -4.02  Date_of_death = Feb2004 
 2*STD = 4.0209 
 -2*STD = -4.021  Date_of_death = Feb2004 
 2*STD = 4.0209 
 -2*STD = -4.021  Date_of_death = Jan2004 
 2*STD = 4.0216 
 -2*STD = -4.022  Date_of_death = Jan2004 
 2*STD = 4.0216 
 -2*STD = -4.022  Date_of_death = Dec2003 
 2*STD = 4.141 
 -2*STD = -4.141  Date_of_death = Dec2003 
 2*STD = 4.141 
 -2*STD = -4.141  Date_of_death = Nov2003 
 2*STD = 4.1411 
 -2*STD = -4.141  Date_of_death = Nov2003 
 2*STD = 4.1411 
 -2*STD = -4.141  Date_of_death = Oct2003 
 2*STD = 4.1411 
 -2*STD = -4.141  Date_of_death = Oct2003 
 2*STD = 4.1411 
 -2*STD = -4.141  Date_of_death = Sep2003 
 2*STD = 4.1413 
 -2*STD = -4.141  Date_of_death = Sep2003 
 2*STD = 4.1413 
 -2*STD = -4.141  Date_of_death = Aug2003 
 2*STD = 4.1415 
 -2*STD = -4.141  Date_of_death = Aug2003 
 2*STD = 4.1415 
 -2*STD = -4.141  Date_of_death = Jul2003 
 2*STD = 4.1417 
 -2*STD = -4.142  Date_of_death = Jul2003 
 2*STD = 4.1417 
 -2*STD = -4.142  Date_of_death = Jun2003 
 2*STD = 4.142 
 -2*STD = -4.142  Date_of_death = Jun2003 
 2*STD = 4.142 
 -2*STD = -4.142  Date_of_death = May2003 
 2*STD = 4.1423 
 -2*STD = -4.142  Date_of_death = May2003 
 2*STD = 4.1423 
 -2*STD = -4.142  Date_of_death = Apr2003 
 2*STD = 4.1427 
 -2*STD = -4.143  Date_of_death = Apr2003 
 2*STD = 4.1427 
 -2*STD = -4.143  Date_of_death = Mar2003 
 2*STD = 4.1432 
 -2*STD = -4.143  Date_of_death = Mar2003 
 2*STD = 4.1432 
 -2*STD = -4.143  Date_of_death = Feb2003 
 2*STD = 4.1439 
 -2*STD = -4.144  Date_of_death = Feb2003 
 2*STD = 4.1439 
 -2*STD = -4.144  Date_of_death = Jan2003 
 2*STD = 4.1446 
 -2*STD = -4.145  Date_of_death = Jan2003 
 2*STD = 4.1446 
 -2*STD = -4.145  Date_of_death = Dec2002 
 2*STD = 4.3794 
 -2*STD = -4.379  Date_of_death = Dec2002 
 2*STD = 4.3794 
 -2*STD = -4.379  Date_of_death = Nov2002 
 2*STD = 4.3794 
 -2*STD = -4.379  Date_of_death = Nov2002 
 2*STD = 4.3794 
 -2*STD = -4.379  Date_of_death = Oct2002 
 2*STD = 4.3795 
 -2*STD = -4.38  Date_of_death = Oct2002 
 2*STD = 4.3795 
 -2*STD = -4.38  Date_of_death = Sep2002 
 2*STD = 4.3796 
 -2*STD = -4.38  Date_of_death = Sep2002 
 2*STD = 4.3796 
 -2*STD = -4.38  Date_of_death = Aug2002 
 2*STD = 4.3797 
 -2*STD = -4.38  Date_of_death = Aug2002 
 2*STD = 4.3797 
 -2*STD = -4.38  Date_of_death = Jul2002 
 2*STD = 4.3799 
 -2*STD = -4.38  Date_of_death = Jul2002 
 2*STD = 4.3799 
 -2*STD = -4.38  Date_of_death = Jun2002 
 2*STD = 4.3801 
 -2*STD = -4.38  Date_of_death = Jun2002 
 2*STD = 4.3801 
 -2*STD = -4.38  Date_of_death = May2002 
 2*STD = 4.3804 
 -2*STD = -4.38  Date_of_death = May2002 
 2*STD = 4.3804 
 -2*STD = -4.38  Date_of_death = Apr2002 
 2*STD = 4.3808 
 -2*STD = -4.381  Date_of_death = Apr2002 
 2*STD = 4.3808 
 -2*STD = -4.381  Date_of_death = Mar2002 
 2*STD = 4.3812 
 -2*STD = -4.381  Date_of_death = Mar2002 
 2*STD = 4.3812 
 -2*STD = -4.381  Date_of_death = Feb2002 
 2*STD = 4.3818 
 -2*STD = -4.382  Date_of_death = Feb2002 
 2*STD = 4.3818 
 -2*STD = -4.382  Date_of_death = Jan2002 
 2*STD = 4.3824 
 -2*STD = -4.382  Date_of_death = Jan2002 
 2*STD = 4.3824 
 -2*STD = -4.382  Date_of_death = Dec2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Dec2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Nov2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Nov2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Oct2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Oct2001 
 2*STD = 5.0373 
 -2*STD = -5.037  Date_of_death = Sep2001 
 2*STD = 5.0374 
 -2*STD = -5.037  Date_of_death = Sep2001 
 2*STD = 5.0374 
 -2*STD = -5.037  Date_of_death = Aug2001 
 2*STD = 5.0374 
 -2*STD = -5.037  Date_of_death = Aug2001 
 2*STD = 5.0374 
 -2*STD = -5.037  Date_of_death = Jul2001 
 2*STD = 5.0375 
 -2*STD = -5.037  Date_of_death = Jul2001 
 2*STD = 5.0375 
 -2*STD = -5.037  Date_of_death = Jun2001 
 2*STD = 5.0376 
 -2*STD = -5.038  Date_of_death = Jun2001 
 2*STD = 5.0376 
 -2*STD = -5.038  Date_of_death = May2001 
 2*STD = 5.0378 
 -2*STD = -5.038  Date_of_death = May2001 
 2*STD = 5.0378 
 -2*STD = -5.038  Date_of_death = Apr2001 
 2*STD = 5.038 
 -2*STD = -5.038  Date_of_death = Apr2001 
 2*STD = 5.038 
 -2*STD = -5.038  Date_of_death = Mar2001 
 2*STD = 5.0384 
 -2*STD = -5.038  Date_of_death = Mar2001 
 2*STD = 5.0384 
 -2*STD = -5.038  Date_of_death = Feb2001 
 2*STD = 5.0388 
 -2*STD = -5.039  Date_of_death = Feb2001 
 2*STD = 5.0388 
 -2*STD = -5.039  Date_of_death = Jan2001 
 2*STD = 5.0393 
 -2*STD = -5.039  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
233 MAY2019 3.618017 1.85681 -0.021270 7.257305
234 JUN2019 4.249396 1.85873 0.606356 7.892436
235 JUL2019 3.512356 1.86062 -0.134400 7.159112
236 AUG2019 3.564787 1.86250 -0.085651 7.215224
237 SEP2019 4.090905 1.86436 0.436823 7.744988
238 OCT2019 4.511758 1.86620 0.854066 8.169450
239 NOV2019 3.616824 1.86803 -0.044442 7.278090
240 DEC2019 3.458723 1.86983 -0.206082 7.123527
241 JAN2020 3.837875 1.86981 0.173106 7.502645
242 FEB2020 3.887684 1.87159 0.219436 7.555932
243 MAR2020 3.737496 1.87335 0.065802 7.409190
244 APR2020 3.837303 1.87509 0.162195 7.512411

Forecasts Only Plot

 Date_of_death = Apr2020 
 Forecast = 3.8373  Date_of_death = Mar2020 
 Forecast = 3.7375  Date_of_death = Mar2020 
 Forecast = 3.7375  Date_of_death = Feb2020 
 Forecast = 3.8877  Date_of_death = Feb2020 
 Forecast = 3.8877  Date_of_death = Jan2020 
 Forecast = 3.8379  Date_of_death = Jan2020 
 Forecast = 3.8379  Date_of_death = Dec2019 
 Forecast = 3.4587  Date_of_death = Dec2019 
 Forecast = 3.4587  Date_of_death = Nov2019 
 Forecast = 3.6168  Date_of_death = Nov2019 
 Forecast = 3.6168  Date_of_death = Oct2019 
 Forecast = 4.5118  Date_of_death = Oct2019 
 Forecast = 4.5118  Date_of_death = Sep2019 
 Forecast = 4.0909  Date_of_death = Sep2019 
 Forecast = 4.0909  Date_of_death = Aug2019 
 Forecast = 3.5648  Date_of_death = Aug2019 
 Forecast = 3.5648  Date_of_death = Jul2019 
 Forecast = 3.5124  Date_of_death = Jul2019 
 Forecast = 3.5124  Date_of_death = Jun2019 
 Forecast = 4.2494  Date_of_death = Jun2019 
 Forecast = 4.2494  Date_of_death = May2019 
 Forecast = 3.6180  Date_of_death = Apr2020 
 Upper 95% = 7.5124 
 Lower 95% = 0.1622  Date_of_death = Mar2020 
 Upper 95% = 7.4092 
 Lower 95% = 0.0658  Date_of_death = Mar2020 
 Upper 95% = 7.4092 
 Lower 95% = 0.0658  Date_of_death = Feb2020 
 Upper 95% = 7.5559 
 Lower 95% = 0.2194  Date_of_death = Feb2020 
 Upper 95% = 7.5559 
 Lower 95% = 0.2194  Date_of_death = Jan2020 
 Upper 95% = 7.5026 
 Lower 95% = 0.1731  Date_of_death = Jan2020 
 Upper 95% = 7.5026 
 Lower 95% = 0.1731  Date_of_death = Dec2019 
 Upper 95% = 7.1235 
 Lower 95% = -0.2061  Date_of_death = Dec2019 
 Upper 95% = 7.1235 
 Lower 95% = -0.2061  Date_of_death = Nov2019 
 Upper 95% = 7.2781 
 Lower 95% = -0.0444  Date_of_death = Nov2019 
 Upper 95% = 7.2781 
 Lower 95% = -0.0444  Date_of_death = Oct2019 
 Upper 95% = 8.1694 
 Lower 95% = 0.8541  Date_of_death = Oct2019 
 Upper 95% = 8.1694 
 Lower 95% = 0.8541  Date_of_death = Sep2019 
 Upper 95% = 7.7450 
 Lower 95% = 0.4368  Date_of_death = Sep2019 
 Upper 95% = 7.7450 
 Lower 95% = 0.4368  Date_of_death = Aug2019 
 Upper 95% = 7.2152 
 Lower 95% = -0.0857  Date_of_death = Aug2019 
 Upper 95% = 7.2152 
 Lower 95% = -0.0857  Date_of_death = Jul2019 
 Upper 95% = 7.1591 
 Lower 95% = -0.1344  Date_of_death = Jul2019 
 Upper 95% = 7.1591 
 Lower 95% = -0.1344  Date_of_death = Jun2019 
 Upper 95% = 7.8924 
 Lower 95% = 0.6064  Date_of_death = Jun2019 
 Upper 95% = 7.8924 
 Lower 95% = 0.6064  Date_of_death = May2019 
 Upper 95% = 7.2573 
 Lower 95% = -0.0213
Forecast Only Plot

Forecasts Plot

 X = 21640  Date_of_death = Apr2020 
 Forecast = 3.8373  Date_of_death = Mar2020 
 Forecast = 3.7375  Date_of_death = Mar2020 
 Forecast = 3.7375  Date_of_death = Feb2020 
 Forecast = 3.8877  Date_of_death = Feb2020 
 Forecast = 3.8877  Date_of_death = Jan2020 
 Forecast = 3.8379  Date_of_death = Jan2020 
 Forecast = 3.8379  Date_of_death = Dec2019 
 Forecast = 3.4587  Date_of_death = Dec2019 
 Forecast = 3.4587  Date_of_death = Nov2019 
 Forecast = 3.6168  Date_of_death = Nov2019 
 Forecast = 3.6168  Date_of_death = Oct2019 
 Forecast = 4.5118  Date_of_death = Oct2019 
 Forecast = 4.5118  Date_of_death = Sep2019 
 Forecast = 4.0909  Date_of_death = Sep2019 
 Forecast = 4.0909  Date_of_death = Aug2019 
 Forecast = 3.5648  Date_of_death = Aug2019 
 Forecast = 3.5648  Date_of_death = Jul2019 
 Forecast = 3.5124  Date_of_death = Jul2019 
 Forecast = 3.5124  Date_of_death = Jun2019 
 Forecast = 4.2494  Date_of_death = Jun2019 
 Forecast = 4.2494  Date_of_death = May2019 
 Forecast = 3.6180  Date_of_death = May2019 
 Forecast = 3.6180  Date_of_death = Apr2019 
 Forecast = 4.1303  Date_of_death = Apr2019 
 Forecast = 4.1303  Date_of_death = Mar2019 
 Forecast = 3.7584  Date_of_death = Mar2019 
 Forecast = 3.7584  Date_of_death = Feb2019 
 Forecast = 3.8647  Date_of_death = Feb2019 
 Forecast = 3.8647  Date_of_death = Jan2019 
 Forecast = 3.7552  Date_of_death = Jan2019 
 Forecast = 3.7552  Date_of_death = Dec2018 
 Forecast = 3.6968  Date_of_death = Dec2018 
 Forecast = 3.6968  Date_of_death = Nov2018 
 Forecast = 3.5771  Date_of_death = Nov2018 
 Forecast = 3.5771  Date_of_death = Oct2018 
 Forecast = 4.4991  Date_of_death = Oct2018 
 Forecast = 4.4991  Date_of_death = Sep2018 
 Forecast = 4.0097  Date_of_death = Sep2018 
 Forecast = 4.0097  Date_of_death = Aug2018 
 Forecast = 3.4863  Date_of_death = Aug2018 
 Forecast = 3.4863  Date_of_death = Jul2018 
 Forecast = 3.2975  Date_of_death = Jul2018 
 Forecast = 3.2975  Date_of_death = Jun2018 
 Forecast = 4.0306  Date_of_death = Jun2018 
 Forecast = 4.0306  Date_of_death = May2018 
 Forecast = 3.2849  Date_of_death = May2018 
 Forecast = 3.2849  Date_of_death = Apr2018 
 Forecast = 3.6092  Date_of_death = Apr2018 
 Forecast = 3.6092  Date_of_death = Mar2018 
 Forecast = 3.1919  Date_of_death = Mar2018 
 Forecast = 3.1919  Date_of_death = Feb2018 
 Forecast = 3.2779  Date_of_death = Feb2018 
 Forecast = 3.2779  Date_of_death = Jan2018 
 Forecast = 3.5596  Date_of_death = Jan2018 
 Forecast = 3.5596  Date_of_death = Dec2017 
 Forecast = 3.4887  Date_of_death = Dec2017 
 Forecast = 3.4887  Date_of_death = Nov2017 
 Forecast = 3.1077  Date_of_death = Nov2017 
 Forecast = 3.1077  Date_of_death = Oct2017 
 Forecast = 4.0637  Date_of_death = Oct2017 
 Forecast = 4.0637  Date_of_death = Sep2017 
 Forecast = 3.5244  Date_of_death = Sep2017 
 Forecast = 3.5244  Date_of_death = Aug2017 
 Forecast = 3.3340  Date_of_death = Aug2017 
 Forecast = 3.3340  Date_of_death = Jul2017 
 Forecast = 3.3201  Date_of_death = Jul2017 
 Forecast = 3.3201  Date_of_death = Jun2017 
 Forecast = 4.2920  Date_of_death = Jun2017 
 Forecast = 4.2920  Date_of_death = May2017 
 Forecast = 3.7089  Date_of_death = May2017 
 Forecast = 3.7089  Date_of_death = Apr2017 
 Forecast = 3.8327  Date_of_death = Apr2017 
 Forecast = 3.8327  Date_of_death = Mar2017 
 Forecast = 3.4075  Date_of_death = Mar2017 
 Forecast = 3.4075  Date_of_death = Feb2017 
 Forecast = 3.5161  Date_of_death = Feb2017 
 Forecast = 3.5161  Date_of_death = Jan2017 
 Forecast = 3.6295  Date_of_death = Jan2017 
 Forecast = 3.6295  Date_of_death = Dec2016 
 Forecast = 3.8064  Date_of_death = Dec2016 
 Forecast = 3.8064  Date_of_death = Nov2016 
 Forecast = 3.4986  Date_of_death = Nov2016 
 Forecast = 3.4986  Date_of_death = Oct2016 
 Forecast = 4.3441  Date_of_death = Oct2016 
 Forecast = 4.3441  Date_of_death = Sep2016 
 Forecast = 4.1273  Date_of_death = Sep2016 
 Forecast = 4.1273  Date_of_death = Aug2016 
 Forecast = 3.5629  Date_of_death = Aug2016 
 Forecast = 3.5629  Date_of_death = Jul2016 
 Forecast = 3.3643  Date_of_death = Jul2016 
 Forecast = 3.3643  Date_of_death = Jun2016 
 Forecast = 4.2029  Date_of_death = Jun2016 
 Forecast = 4.2029  Date_of_death = May2016 
 Forecast = 3.8301  Date_of_death = May2016 
 Forecast = 3.8301  Date_of_death = Apr2016 
 Forecast = 4.1606  Date_of_death = Apr2016 
 Forecast = 4.1606  Date_of_death = Mar2016 
 Forecast = 3.4673  Date_of_death = Mar2016 
 Forecast = 3.4673  Date_of_death = Feb2016 
 Forecast = 3.5916  Date_of_death = Feb2016 
 Forecast = 3.5916  Date_of_death = Jan2016 
 Forecast = 3.7214  Date_of_death = Jan2016 
 Forecast = 3.7214  Date_of_death = Dec2015 
 Forecast = 3.7133  Date_of_death = Dec2015 
 Forecast = 3.7133  Date_of_death = Nov2015 
 Forecast = 3.7003  Date_of_death = Nov2015 
 Forecast = 3.7003  Date_of_death = Oct2015 
 Forecast = 4.3376  Date_of_death = Oct2015 
 Forecast = 4.3376  Date_of_death = Sep2015 
 Forecast = 3.9577  Date_of_death = Sep2015 
 Forecast = 3.9577  Date_of_death = Aug2015 
 Forecast = 3.3503  Date_of_death = Aug2015 
 Forecast = 3.3503  Date_of_death = Jul2015 
 Forecast = 3.5994  Date_of_death = Jul2015 
 Forecast = 3.5994  Date_of_death = Jun2015 
 Forecast = 4.5818  Date_of_death = Jun2015 
 Forecast = 4.5818  Date_of_death = May2015 
 Forecast = 3.7951  Date_of_death = May2015 
 Forecast = 3.7951  Date_of_death = Apr2015 
 Forecast = 3.9484  Date_of_death = Apr2015 
 Forecast = 3.9484  Date_of_death = Mar2015 
 Forecast = 3.2010  Date_of_death = Mar2015 
 Forecast = 3.2010  Date_of_death = Feb2015 
 Forecast = 3.3254  Date_of_death = Feb2015 
 Forecast = 3.3254  Date_of_death = Jan2015 
 Forecast = 3.4550  Date_of_death = Jan2015 
 Forecast = 3.4550  Date_of_death = Dec2014 
 Forecast = 3.9173  Date_of_death = Dec2014 
 Forecast = 3.9173  Date_of_death = Nov2014 
 Forecast = 3.4180  Date_of_death = Nov2014 
 Forecast = 3.4180  Date_of_death = Oct2014 
 Forecast = 4.0910  Date_of_death = Oct2014 
 Forecast = 4.0910  Date_of_death = Sep2014 
 Forecast = 3.6738  Date_of_death = Sep2014 
 Forecast = 3.6738  Date_of_death = Aug2014 
 Forecast = 3.3762  Date_of_death = Aug2014 
 Forecast = 3.3762  Date_of_death = Jul2014 
 Forecast = 3.2247  Date_of_death = Jul2014 
 Forecast = 3.2247  Date_of_death = Jun2014 
 Forecast = 4.1120  Date_of_death = Jun2014 
 Forecast = 4.1120  Date_of_death = May2014 
 Forecast = 3.2463  Date_of_death = May2014 
 Forecast = 3.2463  Date_of_death = Apr2014 
 Forecast = 3.3863  Date_of_death = Apr2014 
 Forecast = 3.3863  Date_of_death = Mar2014 
 Forecast = 2.5603  Date_of_death = Mar2014 
 Forecast = 2.5603  Date_of_death = Feb2014 
 Forecast = 3.1527  Date_of_death = Feb2014 
 Forecast = 3.1527  Date_of_death = Jan2014 
 Forecast = 2.9883  Date_of_death = Jan2014 
 Forecast = 2.9883  Date_of_death = Dec2013 
 Forecast = 3.2618  Date_of_death = Dec2013 
 Forecast = 3.2618  Date_of_death = Nov2013 
 Forecast = 2.6946  Date_of_death = Nov2013 
 Forecast = 2.6946  Date_of_death = Oct2013 
 Forecast = 3.3878  Date_of_death = Oct2013 
 Forecast = 3.3878  Date_of_death = Sep2013 
 Forecast = 2.9055  Date_of_death = Sep2013 
 Forecast = 2.9055  Date_of_death = Aug2013 
 Forecast = 2.9062  Date_of_death = Aug2013 
 Forecast = 2.9062  Date_of_death = Jul2013 
 Forecast = 2.9075  Date_of_death = Jul2013 
 Forecast = 2.9075  Date_of_death = Jun2013 
 Forecast = 3.5300  Date_of_death = Jun2013 
 Forecast = 3.5300  Date_of_death = May2013 
 Forecast = 2.6978  Date_of_death = May2013 
 Forecast = 2.6978  Date_of_death = Apr2013 
 Forecast = 3.1262  Date_of_death = Apr2013 
 Forecast = 3.1262  Date_of_death = Mar2013 
 Forecast = 2.4943  Date_of_death = Mar2013 
 Forecast = 2.4943  Date_of_death = Feb2013 
 Forecast = 2.6144  Date_of_death = Feb2013 
 Forecast = 2.6144  Date_of_death = Jan2013 
 Forecast = 2.9246  Date_of_death = Jan2013 
 Forecast = 2.9246  Date_of_death = Dec2012 
 Forecast = 3.2869  Date_of_death = Dec2012 
 Forecast = 3.2869  Date_of_death = Nov2012 
 Forecast = 2.6846  Date_of_death = Nov2012 
 Forecast = 2.6846  Date_of_death = Oct2012 
 Forecast = 3.2708  Date_of_death = Oct2012 
 Forecast = 3.2708  Date_of_death = Sep2012 
 Forecast = 2.7503  Date_of_death = Sep2012 
 Forecast = 2.7503  Date_of_death = Aug2012 
 Forecast = 2.8191  Date_of_death = Aug2012 
 Forecast = 2.8191  Date_of_death = Jul2012 
 Forecast = 2.4514  Date_of_death = Jul2012 
 Forecast = 2.4514  Date_of_death = Jun2012 
 Forecast = 3.1115  Date_of_death = Jun2012 
 Forecast = 3.1115  Date_of_death = May2012 
 Forecast = 2.5437  Date_of_death = May2012 
 Forecast = 2.5437  Date_of_death = Apr2012 
 Forecast = 2.9958  Date_of_death = Apr2012 
 Forecast = 2.9958  Date_of_death = Mar2012 
 Forecast = 2.3819  Date_of_death = Mar2012 
 Forecast = 2.3819  Date_of_death = Feb2012 
 Forecast = 2.6992  Date_of_death = Feb2012 
 Forecast = 2.6992  Date_of_death = Jan2012 
 Forecast = 2.4993  Date_of_death = Jan2012 
 Forecast = 2.4993  Date_of_death = Dec2011 
 Forecast = 3.2780  Date_of_death = Dec2011 
 Forecast = 3.2780  Date_of_death = Nov2011 
 Forecast = 2.1483  Date_of_death = Nov2011 
 Forecast = 2.1483  Date_of_death = Oct2011 
 Forecast = 3.3308  Date_of_death = Oct2011 
 Forecast = 3.3308  Date_of_death = Sep2011 
 Forecast = 2.8126  Date_of_death = Sep2011 
 Forecast = 2.8126  Date_of_death = Aug2011 
 Forecast = 3.0763  Date_of_death = Aug2011 
 Forecast = 3.0763  Date_of_death = Jul2011 
 Forecast = 2.3181  Date_of_death = Jul2011 
 Forecast = 2.3181  Date_of_death = Jun2011 
 Forecast = 3.4645  Date_of_death = Jun2011 
 Forecast = 3.4645  Date_of_death = May2011 
 Forecast = 2.7181  Date_of_death = May2011 
 Forecast = 2.7181  Date_of_death = Apr2011 
 Forecast = 2.8929  Date_of_death = Apr2011 
 Forecast = 2.8929  Date_of_death = Mar2011 
 Forecast = 2.5901  Date_of_death = Mar2011 
 Forecast = 2.5901  Date_of_death = Feb2011 
 Forecast = 2.7993  Date_of_death = Feb2011 
 Forecast = 2.7993  Date_of_death = Jan2011 
 Forecast = 2.3119  Date_of_death = Jan2011 
 Forecast = 2.3119  Date_of_death = Dec2010 
 Forecast = 3.5472  Date_of_death = Dec2010 
 Forecast = 3.5472  Date_of_death = Nov2010 
 Forecast = 2.5027  Date_of_death = Nov2010 
 Forecast = 2.5027  Date_of_death = Oct2010 
 Forecast = 3.2204  Date_of_death = Oct2010 
 Forecast = 3.2204  Date_of_death = Sep2010 
 Forecast = 2.9527  Date_of_death = Sep2010 
 Forecast = 2.9527  Date_of_death = Aug2010 
 Forecast = 2.7501  Date_of_death = Aug2010 
 Forecast = 2.7501  Date_of_death = Jul2010 
 Forecast = 2.5053  Date_of_death = Jul2010 
 Forecast = 2.5053  Date_of_death = Jun2010 
 Forecast = 3.2221  Date_of_death = Jun2010 
 Forecast = 3.2221  Date_of_death = May2010 
 Forecast = 2.7452  Date_of_death = May2010 
 Forecast = 2.7452  Date_of_death = Apr2010 
 Forecast = 3.2319  Date_of_death = Apr2010 
 Forecast = 3.2319  Date_of_death = Mar2010 
 Forecast = 2.9057  Date_of_death = Mar2010 
 Forecast = 2.9057  Date_of_death = Feb2010 
 Forecast = 2.5965  Date_of_death = Feb2010 
 Forecast = 2.5965  Date_of_death = Jan2010 
 Forecast = 2.6601  Date_of_death = Jan2010 
 Forecast = 2.6601  Date_of_death = Dec2009 
 Forecast = 3.4187  Date_of_death = Dec2009 
 Forecast = 3.4187  Date_of_death = Nov2009 
 Forecast = 2.7030  Date_of_death = Nov2009 
 Forecast = 2.7030  Date_of_death = Oct2009 
 Forecast = 3.0596  Date_of_death = Oct2009 
 Forecast = 3.0596  Date_of_death = Sep2009 
 Forecast = 2.6193  Date_of_death = Sep2009 
 Forecast = 2.6193  Date_of_death = Aug2009 
 Forecast = 2.3906  Date_of_death = Aug2009 
 Forecast = 2.3906  Date_of_death = Jul2009 
 Forecast = 2.3965  Date_of_death = Jul2009 
 Forecast = 2.3965  Date_of_death = Jun2009 
 Forecast = 3.4896  Date_of_death = Jun2009 
 Forecast = 3.4896  Date_of_death = May2009 
 Forecast = 2.3708  Date_of_death = May2009 
 Forecast = 2.3708  Date_of_death = Apr2009 
 Forecast = 3.3472  Date_of_death = Apr2009 
 Forecast = 3.3472  Date_of_death = Mar2009 
 Forecast = 2.8165  Date_of_death = Mar2009 
 Forecast = 2.8165  Date_of_death = Feb2009 
 Forecast = 2.4510  Date_of_death = Feb2009 
 Forecast = 2.4510  Date_of_death = Jan2009 
 Forecast = 2.2572  Date_of_death = Jan2009 
 Forecast = 2.2572  Date_of_death = Dec2008 
 Forecast = 3.4735  Date_of_death = Dec2008 
 Forecast = 3.4735  Date_of_death = Nov2008 
 Forecast = 2.6126  Date_of_death = Nov2008 
 Forecast = 2.6126  Date_of_death = Oct2008 
 Forecast = 3.3209  Date_of_death = Oct2008 
 Forecast = 3.3209  Date_of_death = Sep2008 
 Forecast = 2.8457  Date_of_death = Sep2008 
 Forecast = 2.8457  Date_of_death = Aug2008 
 Forecast = 2.2246  Date_of_death = Aug2008 
 Forecast = 2.2246  Date_of_death = Jul2008 
 Forecast = 2.0968  Date_of_death = Jul2008 
 Forecast = 2.0968  Date_of_death = Jun2008 
 Forecast = 3.1344  Date_of_death = Jun2008 
 Forecast = 3.1344  Date_of_death = May2008 
 Forecast = 2.5604  Date_of_death = May2008 
 Forecast = 2.5604  Date_of_death = Apr2008 
 Forecast = 2.9657  Date_of_death = Apr2008 
 Forecast = 2.9657  Date_of_death = Mar2008 
 Forecast = 2.9059  Date_of_death = Mar2008 
 Forecast = 2.9059  Date_of_death = Feb2008 
 Forecast = 2.5842  Date_of_death = Feb2008 
 Forecast = 2.5842  Date_of_death = Jan2008 
 Forecast = 2.1637  Date_of_death = Jan2008 
 Forecast = 2.1637  Date_of_death = Dec2007 
 Forecast = 3.1143  Date_of_death = Dec2007 
 Forecast = 3.1143  Date_of_death = Nov2007 
 Forecast = 2.7396  Date_of_death = Nov2007 
 Forecast = 2.7396  Date_of_death = Oct2007 
 Forecast = 3.3507  Date_of_death = Oct2007 
 Forecast = 3.3507  Date_of_death = Sep2007 
 Forecast = 2.7981  Date_of_death = Sep2007 
 Forecast = 2.7981  Date_of_death = Aug2007 
 Forecast = 2.4129  Date_of_death = Aug2007 
 Forecast = 2.4129  Date_of_death = Jul2007 
 Forecast = 2.2694  Date_of_death = Jul2007 
 Forecast = 2.2694  Date_of_death = Jun2007 
 Forecast = 3.0382  Date_of_death = Jun2007 
 Forecast = 3.0382  Date_of_death = May2007 
 Forecast = 2.7708  Date_of_death = May2007 
 Forecast = 2.7708  Date_of_death = Apr2007 
 Forecast = 3.5753  Date_of_death = Apr2007 
 Forecast = 3.5753  Date_of_death = Mar2007 
 Forecast = 3.1421  Date_of_death = Mar2007 
 Forecast = 3.1421  Date_of_death = Feb2007 
 Forecast = 2.8814  Date_of_death = Feb2007 
 Forecast = 2.8814  Date_of_death = Jan2007 
 Forecast = 1.8896  Date_of_death = Jan2007 
 Forecast = 1.8896  Date_of_death = Dec2006 
 Forecast = 2.9421  Date_of_death = Dec2006 
 Forecast = 2.9421  Date_of_death = Nov2006 
 Forecast = 3.1754  Date_of_death = Nov2006 
 Forecast = 3.1754  Date_of_death = Oct2006 
 Forecast = 3.5147  Date_of_death = Oct2006 
 Forecast = 3.5147  Date_of_death = Sep2006 
 Forecast = 2.4044  Date_of_death = Sep2006 
 Forecast = 2.4044  Date_of_death = Aug2006 
 Forecast = 2.4050  Date_of_death = Aug2006 
 Forecast = 2.4050  Date_of_death = Jul2006 
 Forecast = 2.4450  Date_of_death = Jul2006 
 Forecast = 2.4450  Date_of_death = Jun2006 
 Forecast = 3.3144  Date_of_death = Jun2006 
 Forecast = 3.3144  Date_of_death = May2006 
 Forecast = 3.2192  Date_of_death = May2006 
 Forecast = 3.2192  Date_of_death = Apr2006 
 Forecast = 3.9487  Date_of_death = Apr2006 
 Forecast = 3.9487  Date_of_death = Mar2006 
 Forecast = 3.4959  Date_of_death = Mar2006 
 Forecast = 3.4959  Date_of_death = Feb2006 
 Forecast = 2.5596  Date_of_death = Feb2006 
 Forecast = 2.5596  Date_of_death = Jan2006 
 Forecast = 2.0510  Date_of_death = Jan2006 
 Forecast = 2.0510  Date_of_death = Dec2005 
 Forecast = 3.6960  Date_of_death = Dec2005 
 Forecast = 3.6960  Date_of_death = Nov2005 
 Forecast = 3.0153  Date_of_death = Nov2005 
 Forecast = 3.0153  Date_of_death = Oct2005 
 Forecast = 4.0762  Date_of_death = Oct2005 
 Forecast = 4.0762  Date_of_death = Sep2005 
 Forecast = 2.1653  Date_of_death = Sep2005 
 Forecast = 2.1653  Date_of_death = Aug2005 
 Forecast = 3.0241  Date_of_death = Aug2005 
 Forecast = 3.0241  Date_of_death = Jul2005 
 Forecast = 3.0867  Date_of_death = Jul2005 
 Forecast = 3.0867  Date_of_death = Jun2005 
 Forecast = 3.2132  Date_of_death = Jun2005 
 Forecast = 3.2132  Date_of_death = May2005 
 Forecast = 3.9059  Date_of_death = May2005 
 Forecast = 3.9059  Date_of_death = Apr2005 
 Forecast = 3.8556  Date_of_death = Apr2005 
 Forecast = 3.8556  Date_of_death = Mar2005 
 Forecast = 3.1799  Date_of_death = Mar2005 
 Forecast = 3.1799  Date_of_death = Feb2005 
 Forecast = 2.0616  Date_of_death = Feb2005 
 Forecast = 2.0616  Date_of_death = Jan2005 
 Forecast = 2.2956  Date_of_death = Jan2005 
 Forecast = 2.2956  Date_of_death = Dec2004 
 Forecast = 3.8180  Date_of_death = Dec2004 
 Forecast = 3.8180  Date_of_death = Nov2004 
 Forecast = 2.4716  Date_of_death = Nov2004 
 Forecast = 2.4716  Date_of_death = Oct2004 
 Forecast = 4.5363  Date_of_death = Oct2004 
 Forecast = 4.5363  Date_of_death = Sep2004 
 Forecast = 2.5721  Date_of_death = Sep2004 
 Forecast = 2.5721  Date_of_death = Aug2004 
 Forecast = 2.4767  Date_of_death = Aug2004 
 Forecast = 2.4767  Date_of_death = Jul2004 
 Forecast = 2.3756  Date_of_death = Jul2004 
 Forecast = 2.3756  Date_of_death = Jun2004 
 Forecast = 3.6957  Date_of_death = Jun2004 
 Forecast = 3.6957  Date_of_death = May2004 
 Forecast = 4.5463  Date_of_death = May2004 
 Forecast = 4.5463  Date_of_death = Apr2004 
 Forecast = 3.4836  Date_of_death = Apr2004 
 Forecast = 3.4836  Date_of_death = Mar2004 
 Forecast = 3.5201  Date_of_death = Mar2004 
 Forecast = 3.5201  Date_of_death = Feb2004 
 Forecast = 2.5597  Date_of_death = Feb2004 
 Forecast = 2.5597  Date_of_death = Jan2004 
 Forecast = 2.8615  Date_of_death = Jan2004 
 Forecast = 2.8615  Date_of_death = Dec2003 
 Forecast = 4.6993  Date_of_death = Dec2003 
 Forecast = 4.6993  Date_of_death = Nov2003 
 Forecast = 3.4235  Date_of_death = Nov2003 
 Forecast = 3.4235  Date_of_death = Oct2003 
 Forecast = 4.7413  Date_of_death = Oct2003 
 Forecast = 4.7413  Date_of_death = Sep2003 
 Forecast = 3.4691  Date_of_death = Sep2003 
 Forecast = 3.4691  Date_of_death = Aug2003 
 Forecast = 3.5344  Date_of_death = Aug2003 
 Forecast = 3.5344  Date_of_death = Jul2003 
 Forecast = 3.6045  Date_of_death = Jul2003 
 Forecast = 3.6045  Date_of_death = Jun2003 
 Forecast = 5.0225  Date_of_death = Jun2003 
 Forecast = 5.0225  Date_of_death = May2003 
 Forecast = 5.0248  Date_of_death = May2003 
 Forecast = 5.0248  Date_of_death = Apr2003 
 Forecast = 3.6542  Date_of_death = Apr2003 
 Forecast = 3.6542  Date_of_death = Mar2003 
 Forecast = 3.6141  Date_of_death = Mar2003 
 Forecast = 3.6141  Date_of_death = Feb2003 
 Forecast = 3.6921  Date_of_death = Feb2003 
 Forecast = 3.6921  Date_of_death = Jan2003 
 Forecast = 2.6230  Date_of_death = Jan2003 
 Forecast = 2.6230  Date_of_death = Dec2002 
 Forecast = 4.9476  Date_of_death = Dec2002 
 Forecast = 4.9476  Date_of_death = Nov2002 
 Forecast = 5.0365  Date_of_death = Nov2002 
 Forecast = 5.0365  Date_of_death = Oct2002 
 Forecast = 5.0403  Date_of_death = Oct2002 
 Forecast = 5.0403  Date_of_death = Sep2002 
 Forecast = 5.1360  Date_of_death = Sep2002 
 Forecast = 5.1360  Date_of_death = Aug2002 
 Forecast = 3.1006  Date_of_death = Aug2002 
 Forecast = 3.1006  Date_of_death = Jul2002 
 Forecast = 3.0622  Date_of_death = Jul2002 
 Forecast = 3.0622  Date_of_death = Jun2002 
 Forecast = 5.0670  Date_of_death = Jun2002 
 Forecast = 5.0670  Date_of_death = May2002 
 Forecast = 5.0719  Date_of_death = May2002 
 Forecast = 5.0719  Date_of_death = Apr2002 
 Forecast = 3.0301  Date_of_death = Apr2002 
 Forecast = 3.0301  Date_of_death = Mar2002 
 Forecast = 2.9846  Date_of_death = Mar2002 
 Forecast = 2.9846  Date_of_death = Feb2002 
 Forecast = 2.9351  Date_of_death = Feb2002 
 Forecast = 2.9351  Date_of_death = Jan2002 
 Forecast = 3.4906  Date_of_death = Jan2002 
 Forecast = 3.4906  Date_of_death = Dec2001 
 Forecast = 4.9941  Date_of_death = Dec2001 
 Forecast = 4.9941  Date_of_death = Nov2001 
 Forecast = 4.9928  Date_of_death = Nov2001 
 Forecast = 4.9928  Date_of_death = Oct2001 
 Forecast = 4.9915  Date_of_death = Oct2001 
 Forecast = 4.9915  Date_of_death = Sep2001 
 Forecast = 4.9901  Date_of_death = Sep2001 
 Forecast = 4.9901  Date_of_death = Aug2001 
 Forecast = 5.0487  Date_of_death = Aug2001 
 Forecast = 5.0487  Date_of_death = Jul2001 
 Forecast = 0.9931  Date_of_death = Jul2001 
 Forecast = 0.9931  Date_of_death = Jun2001 
 Forecast = 4.9917  Date_of_death = Jun2001 
 Forecast = 4.9917  Date_of_death = May2001 
 Forecast = 4.9904  Date_of_death = May2001 
 Forecast = 4.9904  Date_of_death = Apr2001 
 Forecast = 0.9281  Date_of_death = Apr2001 
 Forecast = 0.9281  Date_of_death = Mar2001 
 Forecast = 4.9821  Date_of_death = Mar2001 
 Forecast = 4.9821  Date_of_death = Feb2001 
 Forecast = 5.0426  Date_of_death = Feb2001 
 Forecast = 5.0426  Date_of_death = Jan2001 
 Forecast = 2.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 5.0000  Date_of_death = Feb2019 
 incidents = 5.0000  Date_of_death = Jan2019 
 incidents = 5.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 5.0000  Date_of_death = Oct2018 
 incidents = 5.0000  Date_of_death = Sep2018 
 incidents = 5.0000  Date_of_death = Aug2018 
 incidents = 4.0000  Date_of_death = Jul2018 
 incidents = 5.0000  Date_of_death = Jun2018 
 incidents = 5.0000  Date_of_death = May2018 
 incidents = 5.0000  Date_of_death = Apr2018 
 incidents = 5.0000  Date_of_death = Mar2018 
 incidents = 5.0000  Date_of_death = Feb2018 
 incidents = 5.0000  Date_of_death = Jan2018 
 incidents = 1.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 5.0000  Date_of_death = Oct2017 
 incidents = 5.0000  Date_of_death = Sep2017 
 incidents = 5.0000  Date_of_death = Aug2017 
 incidents = 1.0000  Date_of_death = Jul2017 
 incidents = 1.0000  Date_of_death = Jun2017 
 incidents = 1.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 5.0000  Date_of_death = Mar2017 
 incidents = 5.0000  Date_of_death = Feb2017 
 incidents = 5.0000  Date_of_death = Jan2017 
 incidents = 5.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 5.0000  Date_of_death = Sep2016 
 incidents = 2.0000  Date_of_death = Aug2016 
 incidents = 5.0000  Date_of_death = Jul2016 
 incidents = 5.0000  Date_of_death = Jun2016 
 incidents = 5.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 5.0000  Date_of_death = Feb2016 
 incidents = 5.0000  Date_of_death = Jan2016 
 incidents = 5.0000  Date_of_death = Dec2015 
 incidents = 5.0000  Date_of_death = Nov2015 
 incidents = 1.0000  Date_of_death = Oct2015 
 incidents = 5.0000  Date_of_death = Sep2015 
 incidents = 5.0000  Date_of_death = Aug2015 
 incidents = 5.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 2.0000  Date_of_death = May2015 
 incidents = 5.0000  Date_of_death = Apr2015 
 incidents = 5.0000  Date_of_death = Mar2015 
 incidents = 5.0000  Date_of_death = Feb2015 
 incidents = 5.0000  Date_of_death = Jan2015 
 incidents = 5.0000  Date_of_death = Dec2014 
 incidents = 1.0000  Date_of_death = Nov2014 
 incidents = 5.0000  Date_of_death = Oct2014 
 incidents = 5.0000  Date_of_death = Sep2014 
 incidents = 5.0000  Date_of_death = Aug2014 
 incidents = 2.0000  Date_of_death = Jul2014 
 incidents = 5.0000  Date_of_death = Jun2014 
 incidents = 5.0000  Date_of_death = May2014 
 incidents = 5.0000  Date_of_death = Apr2014 
 incidents = 5.0000  Date_of_death = Mar2014 
 incidents = 5.0000  Date_of_death = Feb2014 
 incidents = 1.0000  Date_of_death = Jan2014 
 incidents = 5.0000  Date_of_death = Dec2013 
 incidents = 5.0000  Date_of_death = Nov2013 
 incidents = 5.0000  Date_of_death = Oct2013 
 incidents = 5.0000  Date_of_death = Sep2013 
 incidents = 5.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 1.0000  Date_of_death = Jun2013 
 incidents = 5.0000  Date_of_death = May2013 
 incidents = 4.0000  Date_of_death = Apr2013 
 incidents = 2.0000  Date_of_death = Mar2013 
 incidents = 1.0000  Date_of_death = Feb2013 
 incidents = 5.0000  Date_of_death = Jan2013 
 incidents = 1.0000  Date_of_death = Dec2012 
 incidents = 2.0000  Date_of_death = Nov2012 
 incidents = 3.0000  Date_of_death = Oct2012 
 incidents = 5.0000  Date_of_death = Sep2012 
 incidents = 5.0000  Date_of_death = Aug2012 
 incidents = 3.0000  Date_of_death = Jul2012 
 incidents = 5.0000  Date_of_death = Jun2012 
 incidents = 5.0000  Date_of_death = May2012 
 incidents = 2.0000  Date_of_death = Apr2012 
 incidents = 2.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 1.0000  Date_of_death = Jan2012 
 incidents = 5.0000  Date_of_death = Dec2011 
 incidents = 1.0000  Date_of_death = Nov2011 
 incidents = 5.0000  Date_of_death = Oct2011 
 incidents = 1.0000  Date_of_death = Sep2011 
 incidents = 2.0000  Date_of_death = Aug2011 
 incidents = 1.0000  Date_of_death = Jul2011 
 incidents = 5.0000  Date_of_death = Jun2011 
 incidents = 2.0000  Date_of_death = May2011 
 incidents = 3.0000  Date_of_death = Apr2011 
 incidents = 5.0000  Date_of_death = Mar2011 
 incidents = 1.0000  Date_of_death = Feb2011 
 incidents = 2.0000  Date_of_death = Jan2011 
 incidents = 5.0000  Date_of_death = Dec2010 
 incidents = 1.0000  Date_of_death = Nov2010 
 incidents = 1.0000  Date_of_death = Oct2010 
 incidents = 5.0000  Date_of_death = Sep2010 
 incidents = 2.0000  Date_of_death = Aug2010 
 incidents = 5.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 5.0000  Date_of_death = May2010 
 incidents = 2.0000  Date_of_death = Apr2010 
 incidents = 1.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 5.0000  Date_of_death = Jan2010 
 incidents = 1.0000  Date_of_death = Dec2009 
 incidents = 5.0000  Date_of_death = Nov2009 
 incidents = 1.0000  Date_of_death = Oct2009 
 incidents = 5.0000  Date_of_death = Sep2009 
 incidents = 5.0000  Date_of_death = Aug2009 
 incidents = 5.0000  Date_of_death = Jul2009 
 incidents = 2.0000  Date_of_death = Jun2009 
 incidents = 1.0000  Date_of_death = May2009 
 incidents = 5.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 3.0000  Date_of_death = Jan2009 
 incidents = 4.0000  Date_of_death = Dec2008 
 incidents = 2.0000  Date_of_death = Nov2008 
 incidents = 2.0000  Date_of_death = Oct2008 
 incidents = 1.0000  Date_of_death = Sep2008 
 incidents = 2.0000  Date_of_death = Aug2008 
 incidents = 5.0000  Date_of_death = Jul2008 
 incidents = 5.0000  Date_of_death = Jun2008 
 incidents = 5.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 5.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 3.0000  Date_of_death = Dec2007 
 incidents = 5.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 2.0000  Date_of_death = Sep2007 
 incidents = 2.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 2.0000  Date_of_death = Jun2007 
 incidents = 5.0000  Date_of_death = May2007 
 incidents = 2.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 3.0000  Date_of_death = Feb2007 
 incidents = 2.0000  Date_of_death = Jan2007 
 incidents = 5.0000  Date_of_death = Dec2006 
 incidents = 5.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 3.0000  Date_of_death = Sep2006 
 incidents = 5.0000  Date_of_death = Aug2006 
 incidents = 2.0000  Date_of_death = Jul2006 
 incidents = 1.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 2.0000  Date_of_death = Feb2006 
 incidents = 5.0000  Date_of_death = Jan2006 
 incidents = 2.0000  Date_of_death = Dec2005 
 incidents = 1.0000  Date_of_death = Nov2005 
 incidents = 5.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 5.0000  Date_of_death = Aug2005 
 incidents = 1.0000  Date_of_death = Jul2005 
 incidents = 1.0000  Date_of_death = Jun2005 
 incidents = 5.0000  Date_of_death = May2005 
 incidents = 1.0000  Date_of_death = Apr2005 
 incidents = 5.0000  Date_of_death = Mar2005 
 incidents = 5.0000  Date_of_death = Feb2005 
 incidents = 5.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 3.0000  Date_of_death = Nov2004 
 incidents = 5.0000  Date_of_death = Oct2004 
 incidents = 2.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 5.0000  Date_of_death = Jul2004 
 incidents = 5.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 1.0000  Date_of_death = Apr2004 
 incidents = 5.0000  Date_of_death = Mar2004 
 incidents = 2.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 1.0000  Date_of_death = Dec2003 
 incidents = 2.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 5.0000  Date_of_death = Sep2003 
 incidents = 1.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 1.0000  Date_of_death = Jun2003 
 incidents = 2.0000  Date_of_death = May2003 
 incidents = 5.0000  Date_of_death = Apr2003 
 incidents = 5.0000  Date_of_death = Mar2003 
 incidents = 5.0000  Date_of_death = Feb2003 
 incidents = 1.0000  Date_of_death = Jan2003 
 incidents = 5.0000  Date_of_death = Dec2002 
 incidents = 5.0000  Date_of_death = Nov2002 
 incidents = 1.0000  Date_of_death = Oct2002 
 incidents = 5.0000  Date_of_death = Sep2002 
 incidents = 1.0000  Date_of_death = Aug2002 
 incidents = 5.0000  Date_of_death = Jul2002 
 incidents = 5.0000  Date_of_death = Jun2002 
 incidents = 5.0000  Date_of_death = May2002 
 incidents = 5.0000  Date_of_death = Apr2002 
 incidents = 5.0000  Date_of_death = Mar2002 
 incidents = 5.0000  Date_of_death = Feb2002 
 incidents = 5.0000  Date_of_death = Jan2002 
 incidents = 1.0000  Date_of_death = Dec2001 
 incidents = 5.0000  Date_of_death = Nov2001 
 incidents = 5.0000  Date_of_death = Oct2001 
 incidents = 5.0000  Date_of_death = Sep2001 
 incidents = 5.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 5.0000  Date_of_death = Jun2001 
 incidents = 5.0000  Date_of_death = May2001 
 incidents = 5.0000  Date_of_death = Apr2001 
 incidents = 5.0000  Date_of_death = Mar2001 
 incidents = 1.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Jan2001 
 incidents = 5.0000  Date_of_death = Apr2020 
 Upper 95% = 7.5124 
 Lower 95% = 0.1622  Date_of_death = Mar2020 
 Upper 95% = 7.4092 
 Lower 95% = 0.0658  Date_of_death = Mar2020 
 Upper 95% = 7.4092 
 Lower 95% = 0.0658  Date_of_death = Feb2020 
 Upper 95% = 7.5559 
 Lower 95% = 0.2194  Date_of_death = Feb2020 
 Upper 95% = 7.5559 
 Lower 95% = 0.2194  Date_of_death = Jan2020 
 Upper 95% = 7.5026 
 Lower 95% = 0.1731  Date_of_death = Jan2020 
 Upper 95% = 7.5026 
 Lower 95% = 0.1731  Date_of_death = Dec2019 
 Upper 95% = 7.1235 
 Lower 95% = -0.2061  Date_of_death = Dec2019 
 Upper 95% = 7.1235 
 Lower 95% = -0.2061  Date_of_death = Nov2019 
 Upper 95% = 7.2781 
 Lower 95% = -0.0444  Date_of_death = Nov2019 
 Upper 95% = 7.2781 
 Lower 95% = -0.0444  Date_of_death = Oct2019 
 Upper 95% = 8.1694 
 Lower 95% = 0.8541  Date_of_death = Oct2019 
 Upper 95% = 8.1694 
 Lower 95% = 0.8541  Date_of_death = Sep2019 
 Upper 95% = 7.7450 
 Lower 95% = 0.4368  Date_of_death = Sep2019 
 Upper 95% = 7.7450 
 Lower 95% = 0.4368  Date_of_death = Aug2019 
 Upper 95% = 7.2152 
 Lower 95% = -0.0857  Date_of_death = Aug2019 
 Upper 95% = 7.2152 
 Lower 95% = -0.0857  Date_of_death = Jul2019 
 Upper 95% = 7.1591 
 Lower 95% = -0.1344  Date_of_death = Jul2019 
 Upper 95% = 7.1591 
 Lower 95% = -0.1344  Date_of_death = Jun2019 
 Upper 95% = 7.8924 
 Lower 95% = 0.6064  Date_of_death = Jun2019 
 Upper 95% = 7.8924 
 Lower 95% = 0.6064  Date_of_death = May2019 
 Upper 95% = 7.2573 
 Lower 95% = -0.0213
Forecast Plot

County=Riverside

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 5.00000 3.11441 1.82408

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 5.00000 3.11441 1.82408

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 2.65055
Level Error Variance 0.99395
Season Error Variance 3.18303

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -472.2
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 950.42
BIC (smaller is better) 960.65
AICC (smaller is better) 950.53
HQIC (smaller is better) 954.55
CAIC (smaller is better) 963.65
Likelihood Optimization Algorithm Converged in 6 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 3.24934 0.32648 9.95 <.0001
Level Error Variance 0.00036260 0.0015178 0.24 0.8112
Season Error Variance 0.00720 0.01624 0.44 0.6573

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 3.95357
Root Mean Squared Error 1.98836
Mean Absolute Percentage Error 101.40380
Maximum Percent Error 80.23203
R-Square -0.19910
Adjusted R-Square -0.20995
Random Walk R-Square 0.31135
Amemiya's Adjusted R-Square -0.23166

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 3.63 0.0566
Level 1 261.59 <.0001
Season 11 8.98 0.6233

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 3.010350438 0.1861262

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00720

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 6.3924 
 Percent = 0.026  Prediction Error = 6.3297 
 Percent = 0.0311  Prediction Error = 6.3297 
 Percent = 0.0311  Prediction Error = 6.2671 
 Percent = 0.0371  Prediction Error = 6.2671 
 Percent = 0.0371  Prediction Error = 6.2044 
 Percent = 0.0441  Prediction Error = 6.2044 
 Percent = 0.0441  Prediction Error = 6.1418 
 Percent = 0.0522  Prediction Error = 6.1418 
 Percent = 0.0522  Prediction Error = 6.0791 
 Percent = 0.0616  Prediction Error = 6.0791 
 Percent = 0.0616  Prediction Error = 6.0164 
 Percent = 0.0724  Prediction Error = 6.0164 
 Percent = 0.0724  Prediction Error = 5.9538 
 Percent = 0.0848  Prediction Error = 5.9538 
 Percent = 0.0848  Prediction Error = 5.8911 
 Percent = 0.0989  Prediction Error = 5.8911 
 Percent = 0.0989  Prediction Error = 5.8285 
 Percent = 0.115  Prediction Error = 5.8285 
 Percent = 0.115  Prediction Error = 5.7658 
 Percent = 0.1332  Prediction Error = 5.7658 
 Percent = 0.1332  Prediction Error = 5.7032 
 Percent = 0.1538  Prediction Error = 5.7032 
 Percent = 0.1538  Prediction Error = 5.6405 
 Percent = 0.177  Prediction Error = 5.6405 
 Percent = 0.177  Prediction Error = 5.5779 
 Percent = 0.2029  Prediction Error = 5.5779 
 Percent = 0.2029  Prediction Error = 5.5152 
 Percent = 0.2319  Prediction Error = 5.5152 
 Percent = 0.2319  Prediction Error = 5.4526 
 Percent = 0.2642  Prediction Error = 5.4526 
 Percent = 0.2642  Prediction Error = 5.3899 
 Percent = 0.3001  Prediction Error = 5.3899 
 Percent = 0.3001  Prediction Error = 5.3273 
 Percent = 0.3397  Prediction Error = 5.3273 
 Percent = 0.3397  Prediction Error = 5.2646 
 Percent = 0.3835  Prediction Error = 5.2646 
 Percent = 0.3835  Prediction Error = 5.202 
 Percent = 0.4317  Prediction Error = 5.202 
 Percent = 0.4317  Prediction Error = 5.1393 
 Percent = 0.4847  Prediction Error = 5.1393 
 Percent = 0.4847  Prediction Error = 5.0767 
 Percent = 0.5426  Prediction Error = 5.0767 
 Percent = 0.5426  Prediction Error = 5.014 
 Percent = 0.6059  Prediction Error = 5.014 
 Percent = 0.6059  Prediction Error = 4.9514 
 Percent = 0.6749  Prediction Error = 4.9514 
 Percent = 0.6749  Prediction Error = 4.8887 
 Percent = 0.7499  Prediction Error = 4.8887 
 Percent = 0.7499  Prediction Error = 4.8261 
 Percent = 0.8313  Prediction Error = 4.8261 
 Percent = 0.8313  Prediction Error = 4.7634 
 Percent = 0.9195  Prediction Error = 4.7634 
 Percent = 0.9195  Prediction Error = 4.7008 
 Percent = 1.0149  Prediction Error = 4.7008 
 Percent = 1.0149  Prediction Error = 4.6381 
 Percent = 1.1179  Prediction Error = 4.6381 
 Percent = 1.1179  Prediction Error = 4.5755 
 Percent = 1.229  Prediction Error = 4.5755 
 Percent = 1.229  Prediction Error = 4.5128 
 Percent = 1.3486  Prediction Error = 4.5128 
 Percent = 1.3486  Prediction Error = 4.4502 
 Percent = 1.4772  Prediction Error = 4.4502 
 Percent = 1.4772  Prediction Error = 4.3875 
 Percent = 1.6153  Prediction Error = 4.3875 
 Percent = 1.6153  Prediction Error = 4.3249 
 Percent = 1.7634  Prediction Error = 4.3249 
 Percent = 1.7634  Prediction Error = 4.2622 
 Percent = 1.9221  Prediction Error = 4.2622 
 Percent = 1.9221  Prediction Error = 4.1996 
 Percent = 2.0919  Prediction Error = 4.1996 
 Percent = 2.0919  Prediction Error = 4.1369 
 Percent = 2.2733  Prediction Error = 4.1369 
 Percent = 2.2733  Prediction Error = 4.0743 
 Percent = 2.4669  Prediction Error = 4.0743 
 Percent = 2.4669  Prediction Error = 4.0116 
 Percent = 2.6733  Prediction Error = 4.0116 
 Percent = 2.6733  Prediction Error = 3.9489 
 Percent = 2.893  Prediction Error = 3.9489 
 Percent = 2.893  Prediction Error = 3.8863 
 Percent = 3.1265  Prediction Error = 3.8863 
 Percent = 3.1265  Prediction Error = 3.8236 
 Percent = 3.3742  Prediction Error = 3.8236 
 Percent = 3.3742  Prediction Error = 3.761 
 Percent = 3.6366  Prediction Error = 3.761 
 Percent = 3.6366  Prediction Error = 3.6983 
 Percent = 3.914  Prediction Error = 3.6983 
 Percent = 3.914  Prediction Error = 3.6357 
 Percent = 4.2067  Prediction Error = 3.6357 
 Percent = 4.2067  Prediction Error = 3.573 
 Percent = 4.5148  Prediction Error = 3.573 
 Percent = 4.5148  Prediction Error = 3.5104 
 Percent = 4.8384  Prediction Error = 3.5104 
 Percent = 4.8384  Prediction Error = 3.4477 
 Percent = 5.1774  Prediction Error = 3.4477 
 Percent = 5.1774  Prediction Error = 3.3851 
 Percent = 5.5314  Prediction Error = 3.3851 
 Percent = 5.5314  Prediction Error = 3.3224 
 Percent = 5.9001  Prediction Error = 3.3224 
 Percent = 5.9001  Prediction Error = 3.2598 
 Percent = 6.283  Prediction Error = 3.2598 
 Percent = 6.283  Prediction Error = 3.1345 
 Percent = 7.0874  Prediction Error = 3.1345 
 Percent = 7.0874  Prediction Error = 3.0092 
 Percent = 7.9356  Prediction Error = 3.0092 
 Percent = 7.9356  Prediction Error = 2.8212 
 Percent = 9.2617  Prediction Error = 2.8212 
 Percent = 9.2617  Prediction Error = 2.5706 
 Percent = 11.039  Prediction Error = 2.5706 
 Percent = 11.039  Prediction Error = 2.4453 
 Percent = 11.885  Prediction Error = 2.4453 
 Percent = 11.885  Prediction Error = 2.3827 
 Percent = 12.287  Prediction Error = 2.3827 
 Percent = 12.287  Prediction Error = 2.32 
 Percent = 12.672  Prediction Error = 2.32 
 Percent = 12.672  Prediction Error = 2.2574 
 Percent = 13.038  Prediction Error = 2.2574 
 Percent = 13.038  Prediction Error = 2.1947 
 Percent = 13.381  Prediction Error = 2.1947 
 Percent = 13.381  Prediction Error = 2.1321 
 Percent = 13.699  Prediction Error = 2.1321 
 Percent = 13.699  Prediction Error = 2.0694 
 Percent = 13.99  Prediction Error = 2.0694 
 Percent = 13.99  Prediction Error = 2.0068 
 Percent = 14.253  Prediction Error = 2.0068 
 Percent = 14.253  Prediction Error = 1.9441 
 Percent = 14.486  Prediction Error = 1.9441 
 Percent = 14.486  Prediction Error = 1.8815 
 Percent = 14.688  Prediction Error = 1.8815 
 Percent = 14.688  Prediction Error = 1.8188 
 Percent = 14.859  Prediction Error = 1.8188 
 Percent = 14.859  Prediction Error = 1.7561 
 Percent = 14.998  Prediction Error = 1.7561 
 Percent = 14.998  Prediction Error = 1.6935 
 Percent = 15.105  Prediction Error = 1.6935 
 Percent = 15.105  Prediction Error = 1.6308 
 Percent = 15.181  Prediction Error = 1.6308 
 Percent = 15.181  Prediction Error = 1.5682 
 Percent = 15.227  Prediction Error = 1.5682 
 Percent = 15.227  Prediction Error = 1.5055 
 Percent = 15.244  Prediction Error = 1.5055 
 Percent = 15.244  Prediction Error = 1.4429 
 Percent = 15.234  Prediction Error = 1.4429 
 Percent = 15.234  Prediction Error = 1.3802 
 Percent = 15.199  Prediction Error = 1.3802 
 Percent = 15.199  Prediction Error = 1.3176 
 Percent = 15.142  Prediction Error = 1.3176 
 Percent = 15.142  Prediction Error = 1.2549 
 Percent = 15.065  Prediction Error = 1.2549 
 Percent = 15.065  Prediction Error = 1.1923 
 Percent = 14.971  Prediction Error = 1.1923 
 Percent = 14.971  Prediction Error = 1.1296 
 Percent = 14.863  Prediction Error = 1.1296 
 Percent = 14.863  Prediction Error = 1.067 
 Percent = 14.744  Prediction Error = 1.067 
 Percent = 14.744  Prediction Error = 0.8164 
 Percent = 14.22  Prediction Error = 0.8164 
 Percent = 14.22  Prediction Error = 0.7537 
 Percent = 14.092  Prediction Error = 0.7537 
 Percent = 14.092  Prediction Error = 0.6911 
 Percent = 13.97  Prediction Error = 0.6911 
 Percent = 13.97  Prediction Error = 0.6284 
 Percent = 13.858  Prediction Error = 0.6284 
 Percent = 13.858  Prediction Error = 0.5658 
 Percent = 13.755  Prediction Error = 0.5658 
 Percent = 13.755  Prediction Error = 0.5031 
 Percent = 13.666  Prediction Error = 0.5031 
 Percent = 13.666  Prediction Error = 0.4405 
 Percent = 13.59  Prediction Error = 0.4405 
 Percent = 13.59  Prediction Error = 0.3778 
 Percent = 13.529  Prediction Error = 0.3778 
 Percent = 13.529  Prediction Error = 0.3152 
 Percent = 13.484  Prediction Error = 0.3152 
 Percent = 13.484  Prediction Error = 0.2525 
 Percent = 13.455  Prediction Error = 0.2525 
 Percent = 13.455  Prediction Error = 0.1899 
 Percent = 13.443  Prediction Error = 0.1899 
 Percent = 13.443  Prediction Error = 0.1272 
 Percent = 13.447  Prediction Error = 0.1272 
 Percent = 13.447  Prediction Error = 0.0646 
 Percent = 13.468  Prediction Error = 0.0646 
 Percent = 13.468  Prediction Error = 0.0019 
 Percent = 13.504  Prediction Error = 0.0019 
 Percent = 13.504  Prediction Error = -0.061 
 Percent = 13.555  Prediction Error = -0.061 
 Percent = 13.555  Prediction Error = -0.123 
 Percent = 13.62  Prediction Error = -0.123 
 Percent = 13.62  Prediction Error = -0.186 
 Percent = 13.697  Prediction Error = -0.186 
 Percent = 13.697  Prediction Error = -0.249 
 Percent = 13.787  Prediction Error = -0.249 
 Percent = 13.787  Prediction Error = -0.311 
 Percent = 13.886  Prediction Error = -0.311 
 Percent = 13.886  Prediction Error = -0.374 
 Percent = 13.994  Prediction Error = -0.374 
 Percent = 13.994  Prediction Error = -0.437 
 Percent = 14.11  Prediction Error = -0.437 
 Percent = 14.11  Prediction Error = -0.499 
 Percent = 14.231  Prediction Error = -0.499 
 Percent = 14.231  Prediction Error = -0.687 
 Percent = 14.611  Prediction Error = -0.687 
 Percent = 14.611  Prediction Error = -0.813 
 Percent = 14.862  Prediction Error = -0.813 
 Percent = 14.862  Prediction Error = -0.875 
 Percent = 14.982  Prediction Error = -0.875 
 Percent = 14.982  Prediction Error = -0.938 
 Percent = 15.096  Prediction Error = -0.938 
 Percent = 15.096  Prediction Error = -1.001 
 Percent = 15.202  Prediction Error = -1.001 
 Percent = 15.202  Prediction Error = -1.063 
 Percent = 15.3  Prediction Error = -1.063 
 Percent = 15.3  Prediction Error = -1.126 
 Percent = 15.387  Prediction Error = -1.126 
 Percent = 15.387  Prediction Error = -1.188 
 Percent = 15.462  Prediction Error = -1.188 
 Percent = 15.462  Prediction Error = -1.251 
 Percent = 15.523  Prediction Error = -1.251 
 Percent = 15.523  Prediction Error = -1.314 
 Percent = 15.571  Prediction Error = -1.314 
 Percent = 15.571  Prediction Error = -1.376 
 Percent = 15.603  Prediction Error = -1.376 
 Percent = 15.603  Prediction Error = -1.439 
 Percent = 15.618  Prediction Error = -1.439 
 Percent = 15.618  Prediction Error = -1.502 
 Percent = 15.616  Prediction Error = -1.502 
 Percent = 15.616  Prediction Error = -1.564 
 Percent = 15.596  Prediction Error = -1.564 
 Percent = 15.596  Prediction Error = -1.627 
 Percent = 15.556  Prediction Error = -1.627 
 Percent = 15.556  Prediction Error = -1.69 
 Percent = 15.497  Prediction Error = -1.69 
 Percent = 15.497  Prediction Error = -1.752 
 Percent = 15.418  Prediction Error = -1.752 
 Percent = 15.418  Prediction Error = -1.815 
 Percent = 15.318  Prediction Error = -1.815 
 Percent = 15.318  Prediction Error = -1.878 
 Percent = 15.198  Prediction Error = -1.878 
 Percent = 15.198  Prediction Error = -1.94 
 Percent = 15.057  Prediction Error = -1.94 
 Percent = 15.057  Prediction Error = -2.003 
 Percent = 14.896  Prediction Error = -2.003 
 Percent = 14.896  Prediction Error = -2.066 
 Percent = 14.714  Prediction Error = -2.066 
 Percent = 14.714  Prediction Error = -2.128 
 Percent = 14.513  Prediction Error = -2.128 
 Percent = 14.513  Prediction Error = -2.191 
 Percent = 14.292  Prediction Error = -2.191 
 Percent = 14.292  Prediction Error = -2.254 
 Percent = 14.052  Prediction Error = -2.254 
 Percent = 14.052  Prediction Error = -2.316 
 Percent = 13.794  Prediction Error = -2.316 
 Percent = 13.794  Prediction Error = -2.379 
 Percent = 13.518  Prediction Error = -2.379 
 Percent = 13.518  Prediction Error = -2.441 
 Percent = 13.227  Prediction Error = -2.441 
 Percent = 13.227  Prediction Error = -2.504 
 Percent = 12.92  Prediction Error = -2.504 
 Percent = 12.92  Prediction Error = -2.567 
 Percent = 12.6  Prediction Error = -2.567 
 Percent = 12.6  Prediction Error = -2.629 
 Percent = 12.267  Prediction Error = -2.629 
 Percent = 12.267  Prediction Error = -2.755 
 Percent = 11.569  Prediction Error = -2.755 
 Percent = 11.569  Prediction Error = -3.256 
 Percent = 8.5595  Prediction Error = -3.256 
 Percent = 8.5595  Prediction Error = -3.444 
 Percent = 7.4416  Prediction Error = -3.444 
 Percent = 7.4416  Prediction Error = -3.569 
 Percent = 6.7249  Prediction Error = -3.569 
 Percent = 6.7249  Prediction Error = -3.695 
 Percent = 6.0388  Prediction Error = -3.695 
 Percent = 6.0388  Prediction Error = -3.82 
 Percent = 5.3882  Prediction Error = -3.82 
 Percent = 5.3882  Prediction Error = -3.882 
 Percent = 5.0774  Prediction Error = -3.882 
 Percent = 5.0774  Prediction Error = -3.945 
 Percent = 4.7767  Prediction Error = -3.945 
 Percent = 4.7767  Prediction Error = -4.008 
 Percent = 4.4862  Prediction Error = -4.008 
 Percent = 4.4862  Prediction Error = -4.07 
 Percent = 4.2062  Prediction Error = -4.07 
 Percent = 4.2062  Prediction Error = -4.133 
 Percent = 3.9368  Prediction Error = -4.133 
 Percent = 3.9368  Prediction Error = -4.196 
 Percent = 3.678  Prediction Error = -4.196 
 Percent = 3.678  Prediction Error = -4.258 
 Percent = 3.4298  Prediction Error = -4.258 
 Percent = 3.4298  Prediction Error = -4.321 
 Percent = 3.1923  Prediction Error = -4.321 
 Percent = 3.1923  Prediction Error = -4.384 
 Percent = 2.9653  Prediction Error = -4.384 
 Percent = 2.9653  Prediction Error = -4.446 
 Percent = 2.7488  Prediction Error = -4.446 
 Percent = 2.7488  Prediction Error = -4.509 
 Percent = 2.5427  Prediction Error = -4.509 
 Percent = 2.5427  Prediction Error = -4.572 
 Percent = 2.3469  Prediction Error = -4.572 
 Percent = 2.3469  Prediction Error = -4.634 
 Percent = 2.1612  Prediction Error = -4.634 
 Percent = 2.1612  Prediction Error = -4.697 
 Percent = 1.9854  Prediction Error = -4.697 
 Percent = 1.9854  Prediction Error = -4.76 
 Percent = 1.8195  Prediction Error = -4.76 
 Percent = 1.8195  Prediction Error = -4.822 
 Percent = 1.6632  Prediction Error = -4.822 
 Percent = 1.6632  Prediction Error = -4.885 
 Percent = 1.5163  Prediction Error = -4.885 
 Percent = 1.5163  Prediction Error = -4.948 
 Percent = 1.3786  Prediction Error = -4.948 
 Percent = 1.3786  Prediction Error = -5.01 
 Percent = 1.2499  Prediction Error = -5.01 
 Percent = 1.2499  Prediction Error = -5.073 
 Percent = 1.1299  Prediction Error = -5.073 
 Percent = 1.1299  Prediction Error = -5.136 
 Percent = 1.0184  Prediction Error = -5.136 
 Percent = 1.0184  Prediction Error = -5.198 
 Percent = 0.9151  Prediction Error = -5.198 
 Percent = 0.9151  Prediction Error = -5.261 
 Percent = 0.8196  Prediction Error = -5.261 
 Percent = 0.8196  Prediction Error = -5.323 
 Percent = 0.7318  Prediction Error = -5.323 
 Percent = 0.7318  Prediction Error = -5.386 
 Percent = 0.6512  Prediction Error = -5.386 
 Percent = 0.6512  Prediction Error = -5.449 
 Percent = 0.5776  Prediction Error = -5.449 
 Percent = 0.5776  Prediction Error = -5.511 
 Percent = 0.5105  Prediction Error = -5.511 
 Percent = 0.5105  Prediction Error = -5.574 
 Percent = 0.4496  Prediction Error = -5.574 
 Percent = 0.4496  Prediction Error = -5.637 
 Percent = 0.3946  Prediction Error = -5.637 
 Percent = 0.3946  Prediction Error = -5.699 
 Percent = 0.345  Prediction Error = -5.699 
 Percent = 0.345  Prediction Error = -5.762 
 Percent = 0.3006  Prediction Error = -5.762 
 Percent = 0.3006  Prediction Error = -5.825 
 Percent = 0.2609  Prediction Error = -5.825 
 Percent = 0.2609  Prediction Error = -5.887 
 Percent = 0.2256  Prediction Error = -5.887 
 Percent = 0.2256  Prediction Error = -5.95 
 Percent = 0.1943  Prediction Error = -5.95 
 Percent = 0.1943  Prediction Error = -6.013 
 Percent = 0.1667  Prediction Error = -6.013 
 Percent = 0.1667  Prediction Error = -6.075 
 Percent = 0.1425  Prediction Error = -6.075 
 Percent = 0.1425  Prediction Error = -6.138 
 Percent = 0.1213  Prediction Error = -6.138 
 Percent = 0.1213  Prediction Error = -6.201 
 Percent = 0.1028  Prediction Error = -6.201 
 Percent = 0.1028  Prediction Error = -6.263 
 Percent = 0.0868  Prediction Error = -6.263 
 Percent = 0.0868  Prediction Error = -6.326 
 Percent = 0.073  Prediction Error = -6.326 
 Percent = 0.073  Prediction Error = -6.389 
 Percent = 0.0612  Prediction Error = 5.7573 
 Percent = 0.2234  Prediction Error = 5.6972 
 Percent = 0.2446  Prediction Error = 5.6972 
 Percent = 0.2446  Prediction Error = 5.6371 
 Percent = 0.2675  Prediction Error = 5.6371 
 Percent = 0.2675  Prediction Error = 5.577 
 Percent = 0.2923  Prediction Error = 5.577 
 Percent = 0.2923  Prediction Error = 5.5169 
 Percent = 0.3191  Prediction Error = 5.5169 
 Percent = 0.3191  Prediction Error = 5.4568 
 Percent = 0.348  Prediction Error = 5.4568 
 Percent = 0.348  Prediction Error = 5.3967 
 Percent = 0.3792  Prediction Error = 5.3967 
 Percent = 0.3792  Prediction Error = 5.3366 
 Percent = 0.4128  Prediction Error = 5.3366 
 Percent = 0.4128  Prediction Error = 5.2765 
 Percent = 0.449  Prediction Error = 5.2765 
 Percent = 0.449  Prediction Error = 5.2164 
 Percent = 0.4879  Prediction Error = 5.2164 
 Percent = 0.4879  Prediction Error = 5.1563 
 Percent = 0.5297  Prediction Error = 5.1563 
 Percent = 0.5297  Prediction Error = 5.0962 
 Percent = 0.5746  Prediction Error = 5.0962 
 Percent = 0.5746  Prediction Error = 5.0361 
 Percent = 0.6226  Prediction Error = 5.0361 
 Percent = 0.6226  Prediction Error = 4.976 
 Percent = 0.6741  Prediction Error = 4.976 
 Percent = 0.6741  Prediction Error = 4.9159 
 Percent = 0.7292  Prediction Error = 4.9159 
 Percent = 0.7292  Prediction Error = 4.8558 
 Percent = 0.788  Prediction Error = 4.8558 
 Percent = 0.788  Prediction Error = 4.7957 
 Percent = 0.8508  Prediction Error = 4.7957 
 Percent = 0.8508  Prediction Error = 4.7356 
 Percent = 0.9178  Prediction Error = 4.7356 
 Percent = 0.9178  Prediction Error = 4.6755 
 Percent = 0.9891  Prediction Error = 4.6755 
 Percent = 0.9891  Prediction Error = 4.6154 
 Percent = 1.065  Prediction Error = 4.6154 
 Percent = 1.065  Prediction Error = 4.5553 
 Percent = 1.1456  Prediction Error = 4.5553 
 Percent = 1.1456  Prediction Error = 4.4952 
 Percent = 1.2312  Prediction Error = 4.4952 
 Percent = 1.2312  Prediction Error = 4.4351 
 Percent = 1.3221  Prediction Error = 4.4351 
 Percent = 1.3221  Prediction Error = 4.3749 
 Percent = 1.4183  Prediction Error = 4.3749 
 Percent = 1.4183  Prediction Error = 4.3148 
 Percent = 1.5201  Prediction Error = 4.3148 
 Percent = 1.5201  Prediction Error = 4.2547 
 Percent = 1.6277  Prediction Error = 4.2547 
 Percent = 1.6277  Prediction Error = 4.1946 
 Percent = 1.7414  Prediction Error = 4.1946 
 Percent = 1.7414  Prediction Error = 4.1345 
 Percent = 1.8612  Prediction Error = 4.1345 
 Percent = 1.8612  Prediction Error = 4.0744 
 Percent = 1.9876  Prediction Error = 4.0744 
 Percent = 1.9876  Prediction Error = 4.0143 
 Percent = 2.1205  Prediction Error = 4.0143 
 Percent = 2.1205  Prediction Error = 3.9542 
 Percent = 2.2602  Prediction Error = 3.9542 
 Percent = 2.2602  Prediction Error = 3.8941 
 Percent = 2.407  Prediction Error = 3.8941 
 Percent = 2.407  Prediction Error = 3.834 
 Percent = 2.5609  Prediction Error = 3.834 
 Percent = 2.5609  Prediction Error = 3.7739 
 Percent = 2.7221  Prediction Error = 3.7739 
 Percent = 2.7221  Prediction Error = 3.7138 
 Percent = 2.8909  Prediction Error = 3.7138 
 Percent = 2.8909  Prediction Error = 3.6537 
 Percent = 3.0673  Prediction Error = 3.6537 
 Percent = 3.0673  Prediction Error = 3.5936 
 Percent = 3.2514  Prediction Error = 3.5936 
 Percent = 3.2514  Prediction Error = 3.5335 
 Percent = 3.4435  Prediction Error = 3.5335 
 Percent = 3.4435  Prediction Error = 3.4734 
 Percent = 3.6436  Prediction Error = 3.4734 
 Percent = 3.6436  Prediction Error = 3.4133 
 Percent = 3.8517  Prediction Error = 3.4133 
 Percent = 3.8517  Prediction Error = 3.3532 
 Percent = 4.068  Prediction Error = 3.3532 
 Percent = 4.068  Prediction Error = 3.2931 
 Percent = 4.2925  Prediction Error = 3.2931 
 Percent = 4.2925  Prediction Error = 3.233 
 Percent = 4.5253  Prediction Error = 3.233 
 Percent = 4.5253  Prediction Error = 3.1729 
 Percent = 4.7663  Prediction Error = 3.1729 
 Percent = 4.7663  Prediction Error = 3.1128 
 Percent = 5.0155  Prediction Error = 3.1128 
 Percent = 5.0155  Prediction Error = 3.0527 
 Percent = 5.2728  Prediction Error = 3.0527 
 Percent = 5.2728  Prediction Error = 2.9325 
 Percent = 5.8119  Prediction Error = 2.9325 
 Percent = 5.8119  Prediction Error = 2.8123 
 Percent = 6.3826  Prediction Error = 2.8123 
 Percent = 6.3826  Prediction Error = 2.6921 
 Percent = 6.9836  Prediction Error = 2.6921 
 Percent = 6.9836  Prediction Error = 2.5718 
 Percent = 7.6132  Prediction Error = 2.5718 
 Percent = 7.6132  Prediction Error = 2.4516 
 Percent = 8.2691  Prediction Error = 2.4516 
 Percent = 8.2691  Prediction Error = 1.5501 
 Percent = 13.671  Prediction Error = 1.5501 
 Percent = 13.671  Prediction Error = 1.3698 
 Percent = 14.747  Prediction Error = 1.3698 
 Percent = 14.747  Prediction Error = 1.2496 
 Percent = 15.44  Prediction Error = 1.2496 
 Percent = 15.44  Prediction Error = 1.1294 
 Percent = 16.106  Prediction Error = 1.1294 
 Percent = 16.106  Prediction Error = 1.0092 
 Percent = 16.739  Prediction Error = 1.0092 
 Percent = 16.739  Prediction Error = 0.9491 
 Percent = 17.042  Prediction Error = 0.9491 
 Percent = 17.042  Prediction Error = 0.889 
 Percent = 17.334  Prediction Error = 0.889 
 Percent = 17.334  Prediction Error = 0.8288 
 Percent = 17.615  Prediction Error = 0.8288 
 Percent = 17.615  Prediction Error = 0.7687 
 Percent = 17.883  Prediction Error = 0.7687 
 Percent = 17.883  Prediction Error = 0.7086 
 Percent = 18.14  Prediction Error = 0.7086 
 Percent = 18.14  Prediction Error = 0.6485 
 Percent = 18.383  Prediction Error = 0.6485 
 Percent = 18.383  Prediction Error = 0.5884 
 Percent = 18.612  Prediction Error = 0.5884 
 Percent = 18.612  Prediction Error = 0.5283 
 Percent = 18.827  Prediction Error = 0.5283 
 Percent = 18.827  Prediction Error = 0.4682 
 Percent = 19.027  Prediction Error = 0.4682 
 Percent = 19.027  Prediction Error = 0.4081 
 Percent = 19.211  Prediction Error = 0.4081 
 Percent = 19.211  Prediction Error = 0.348 
 Percent = 19.38  Prediction Error = 0.348 
 Percent = 19.38  Prediction Error = 0.2879 
 Percent = 19.531  Prediction Error = 0.2879 
 Percent = 19.531  Prediction Error = 0.2278 
 Percent = 19.666  Prediction Error = 0.2278 
 Percent = 19.666  Prediction Error = 0.1677 
 Percent = 19.784  Prediction Error = 0.1677 
 Percent = 19.784  Prediction Error = 0.1076 
 Percent = 19.884  Prediction Error = 0.1076 
 Percent = 19.884  Prediction Error = 0.0475 
 Percent = 19.967  Prediction Error = 0.0475 
 Percent = 19.967  Prediction Error = -0.013 
 Percent = 20.031  Prediction Error = -0.013 
 Percent = 20.031  Prediction Error = -0.073 
 Percent = 20.077  Prediction Error = -0.073 
 Percent = 20.077  Prediction Error = -0.133 
 Percent = 20.105  Prediction Error = -0.133 
 Percent = 20.105  Prediction Error = -0.193 
 Percent = 20.114  Prediction Error = -0.193 
 Percent = 20.114  Prediction Error = -0.253 
 Percent = 20.105  Prediction Error = -0.253 
 Percent = 20.105  Prediction Error = -0.313 
 Percent = 20.077  Prediction Error = -0.313 
 Percent = 20.077  Prediction Error = -0.373 
 Percent = 20.031  Prediction Error = -0.373 
 Percent = 20.031  Prediction Error = -0.433 
 Percent = 19.967  Prediction Error = -0.433 
 Percent = 19.967  Prediction Error = -0.493 
 Percent = 19.884  Prediction Error = -0.493 
 Percent = 19.884  Prediction Error = -0.554 
 Percent = 19.784  Prediction Error = -0.554 
 Percent = 19.784  Prediction Error = -0.614 
 Percent = 19.666  Prediction Error = -0.614 
 Percent = 19.666  Prediction Error = -0.674 
 Percent = 19.531  Prediction Error = -0.674 
 Percent = 19.531  Prediction Error = -0.734 
 Percent = 19.38  Prediction Error = -0.734 
 Percent = 19.38  Prediction Error = -0.794 
 Percent = 19.211  Prediction Error = -0.794 
 Percent = 19.211  Prediction Error = -0.854 
 Percent = 19.027  Prediction Error = -0.854 
 Percent = 19.027  Prediction Error = -0.914 
 Percent = 18.827  Prediction Error = -0.914 
 Percent = 18.827  Prediction Error = -0.974 
 Percent = 18.612  Prediction Error = -0.974 
 Percent = 18.612  Prediction Error = -1.034 
 Percent = 18.383  Prediction Error = -1.034 
 Percent = 18.383  Prediction Error = -1.094 
 Percent = 18.14  Prediction Error = -1.094 
 Percent = 18.14  Prediction Error = -1.155 
 Percent = 17.883  Prediction Error = -1.155 
 Percent = 17.883  Prediction Error = -1.215 
 Percent = 17.615  Prediction Error = -1.215 
 Percent = 17.615  Prediction Error = -1.275 
 Percent = 17.334  Prediction Error = -1.275 
 Percent = 17.334  Prediction Error = -1.335 
 Percent = 17.042  Prediction Error = -1.335 
 Percent = 17.042  Prediction Error = -1.395 
 Percent = 16.739  Prediction Error = -1.395 
 Percent = 16.739  Prediction Error = -1.515 
 Percent = 16.106  Prediction Error = -1.515 
 Percent = 16.106  Prediction Error = -1.635 
 Percent = 15.44  Prediction Error = -1.635 
 Percent = 15.44  Prediction Error = -2.357 
 Percent = 11.094  Prediction Error = -2.357 
 Percent = 11.094  Prediction Error = -2.597 
 Percent = 9.6484  Prediction Error = -2.597 
 Percent = 9.6484  Prediction Error = -2.777 
 Percent = 8.6061  Prediction Error = -2.777 
 Percent = 8.6061  Prediction Error = -2.898 
 Percent = 7.938  Prediction Error = -2.898 
 Percent = 7.938  Prediction Error = -3.018 
 Percent = 7.2949  Prediction Error = -3.018 
 Percent = 7.2949  Prediction Error = -3.138 
 Percent = 6.6794  Prediction Error = -3.138 
 Percent = 6.6794  Prediction Error = -3.258 
 Percent = 6.0934  Prediction Error = -3.258 
 Percent = 6.0934  Prediction Error = -3.378 
 Percent = 5.5384  Prediction Error = -3.378 
 Percent = 5.5384  Prediction Error = -3.438 
 Percent = 5.2728  Prediction Error = -3.438 
 Percent = 5.2728  Prediction Error = -3.499 
 Percent = 5.0155  Prediction Error = -3.499 
 Percent = 5.0155  Prediction Error = -3.559 
 Percent = 4.7663  Prediction Error = -3.559 
 Percent = 4.7663  Prediction Error = -3.619 
 Percent = 4.5253  Prediction Error = -3.619 
 Percent = 4.5253  Prediction Error = -3.679 
 Percent = 4.2925  Prediction Error = -3.679 
 Percent = 4.2925  Prediction Error = -3.739 
 Percent = 4.068  Prediction Error = -3.739 
 Percent = 4.068  Prediction Error = -3.799 
 Percent = 3.8517  Prediction Error = -3.799 
 Percent = 3.8517  Prediction Error = -3.859 
 Percent = 3.6436  Prediction Error = -3.859 
 Percent = 3.6436  Prediction Error = -3.919 
 Percent = 3.4435  Prediction Error = -3.919 
 Percent = 3.4435  Prediction Error = -3.979 
 Percent = 3.2514  Prediction Error = -3.979 
 Percent = 3.2514  Prediction Error = -4.04 
 Percent = 3.0673  Prediction Error = -4.04 
 Percent = 3.0673  Prediction Error = -4.1 
 Percent = 2.8909  Prediction Error = -4.1 
 Percent = 2.8909  Prediction Error = -4.16 
 Percent = 2.7221  Prediction Error = -4.16 
 Percent = 2.7221  Prediction Error = -4.22 
 Percent = 2.5609  Prediction Error = -4.22 
 Percent = 2.5609  Prediction Error = -4.28 
 Percent = 2.407  Prediction Error = -4.28 
 Percent = 2.407  Prediction Error = -4.34 
 Percent = 2.2602  Prediction Error = -4.34 
 Percent = 2.2602  Prediction Error = -4.4 
 Percent = 2.1205  Prediction Error = -4.4 
 Percent = 2.1205  Prediction Error = -4.46 
 Percent = 1.9876  Prediction Error = -4.46 
 Percent = 1.9876  Prediction Error = -4.52 
 Percent = 1.8612  Prediction Error = -4.52 
 Percent = 1.8612  Prediction Error = -4.58 
 Percent = 1.7414  Prediction Error = -4.58 
 Percent = 1.7414  Prediction Error = -4.641 
 Percent = 1.6277  Prediction Error = -4.641 
 Percent = 1.6277  Prediction Error = -4.701 
 Percent = 1.5201  Prediction Error = -4.701 
 Percent = 1.5201  Prediction Error = -4.761 
 Percent = 1.4183  Prediction Error = -4.761 
 Percent = 1.4183  Prediction Error = -4.821 
 Percent = 1.3221  Prediction Error = -4.821 
 Percent = 1.3221  Prediction Error = -4.881 
 Percent = 1.2312  Prediction Error = -4.881 
 Percent = 1.2312  Prediction Error = -4.941 
 Percent = 1.1456  Prediction Error = -4.941 
 Percent = 1.1456  Prediction Error = -5.001 
 Percent = 1.065  Prediction Error = -5.001 
 Percent = 1.065  Prediction Error = -5.061 
 Percent = 0.9891  Prediction Error = -5.061 
 Percent = 0.9891  Prediction Error = -5.121 
 Percent = 0.9178  Prediction Error = -5.121 
 Percent = 0.9178  Prediction Error = -5.181 
 Percent = 0.8508  Prediction Error = -5.181 
 Percent = 0.8508  Prediction Error = -5.242 
 Percent = 0.788  Prediction Error = -5.242 
 Percent = 0.788  Prediction Error = -5.302 
 Percent = 0.7292  Prediction Error = -5.302 
 Percent = 0.7292  Prediction Error = -5.362 
 Percent = 0.6741  Prediction Error = -5.362 
 Percent = 0.6741  Prediction Error = -5.422 
 Percent = 0.6226  Prediction Error = -5.422 
 Percent = 0.6226  Prediction Error = -5.482 
 Percent = 0.5746  Prediction Error = -5.482 
 Percent = 0.5746  Prediction Error = -5.542 
 Percent = 0.5297  Prediction Error = -5.542 
 Percent = 0.5297  Prediction Error = -5.602 
 Percent = 0.4879  Prediction Error = -5.602 
 Percent = 0.4879  Prediction Error = -5.662 
 Percent = 0.449  Prediction Error = -5.662 
 Percent = 0.449  Prediction Error = -5.722 
 Percent = 0.4128  Prediction Error = -5.722 
 Percent = 0.4128  Prediction Error = -5.783 
 Percent = 0.3792  Prediction Error = -5.783 
 Percent = 0.3792  Prediction Error = -5.843 
 Percent = 0.348  Prediction Error = -5.843 
 Percent = 0.348  Prediction Error = -5.903 
 Percent = 0.3191  Prediction Error = -5.903 
 Percent = 0.3191  Prediction Error = -5.963 
 Percent = 0.2923  Prediction Error = -5.963 
 Percent = 0.2923  Prediction Error = -6.023 
 Percent = 0.2675  Prediction Error = -6.023 
 Percent = 0.2675  Prediction Error = -6.083 
 Percent = 0.2446  Prediction Error = -6.083 
 Percent = 0.2446  Prediction Error = -6.143 
 Percent = 0.2234  Prediction Error = 4 
 Percent = 1.3393  Prediction Error = 4 
 Percent = 1.3393  Prediction Error = 3 
 Percent = 5.8036  Prediction Error = 3 
 Percent = 5.8036  Prediction Error = 2 
 Percent = 20.536  Prediction Error = 2 
 Percent = 20.536  Prediction Error = 1 
 Percent = 12.5  Prediction Error = 1 
 Percent = 12.5  Prediction Error = 0 
 Percent = 11.607  Prediction Error = 0 
 Percent = 11.607  Prediction Error = -1 
 Percent = 18.304  Prediction Error = -1 
 Percent = 18.304  Prediction Error = -2 
 Percent = 15.625  Prediction Error = -2 
 Percent = 15.625  Prediction Error = -3 
 Percent = 10.268  Prediction Error = -3 
 Percent = 10.268  Prediction Error = -4 
 Percent = 4.0179  Prediction Error = -4 
 Percent = 4.0179  Quantile = 2.7718 
 Residual = 4.0116  Quantile = 2.4448 
 Residual = 4.0004  Quantile = 2.2667 
 Residual = 4  Quantile = 2.1403 
 Residual = 3.4758  Quantile = 2.041 
 Residual = 3.335  Quantile = 1.9585 
 Residual = 3.2865  Quantile = 1.8876 
 Residual = 3.006  Quantile = 1.825 
 Residual = 3.0024  Quantile = 1.7688 
 Residual = 2.9504  Quantile = 1.7178 
 Residual = 2.9242  Quantile = 1.6708 
 Residual = 2.7778  Quantile = 1.6273 
 Residual = 2.7495  Quantile = 1.5866 
 Residual = 2.6877  Quantile = 1.5484 
 Residual = 2.6372  Quantile = 1.5124 
 Residual = 2.6183  Quantile = 1.4782 
 Residual = 2.6131  Quantile = 1.4457 
 Residual = 2.425  Quantile = 1.4146 
 Residual = 2.385  Quantile = 1.3848 
 Residual = 2.3409  Quantile = 1.3562 
 Residual = 2.2888  Quantile = 1.3287 
 Residual = 2.2867  Quantile = 1.3022 
 Residual = 2.2561  Quantile = 1.2765 
 Residual = 2.1821  Quantile = 1.2516 
 Residual = 2.1531  Quantile = 1.2275 
 Residual = 2.1123  Quantile = 1.2041 
 Residual = 2.0861  Quantile = 1.1814 
 Residual = 2.0491  Quantile = 1.1592 
 Residual = 2.017  Quantile = 1.1376 
 Residual = 2.005  Quantile = 1.1165 
 Residual = 2.0029  Quantile = 1.0959 
 Residual = 1.9994  Quantile = 1.0757 
 Residual = 1.995  Quantile = 1.056 
 Residual = 1.9942  Quantile = 1.0367 
 Residual = 1.99  Quantile = 1.0177 
 Residual = 1.9808  Quantile = 0.9991 
 Residual = 1.9688  Quantile = 0.9809 
 Residual = 1.9669  Quantile = 0.963 
 Residual = 1.9368  Quantile = 0.9453 
 Residual = 1.8426  Quantile = 0.928 
 Residual = 1.8274  Quantile = 0.911 
 Residual = 1.827  Quantile = 0.8942 
 Residual = 1.7786  Quantile = 0.8776 
 Residual = 1.7636  Quantile = 0.8613 
 Residual = 1.7585  Quantile = 0.8452 
 Residual = 1.7486  Quantile = 0.8293 
 Residual = 1.7444  Quantile = 0.8137 
 Residual = 1.7204  Quantile = 0.7982 
 Residual = 1.7078  Quantile = 0.7829 
 Residual = 1.6963  Quantile = 0.7678 
 Residual = 1.6769  Quantile = 0.7529 
 Residual = 1.6651  Quantile = 0.7381 
 Residual = 1.6387  Quantile = 0.7235 
 Residual = 1.6239  Quantile = 0.7091 
 Residual = 1.6233  Quantile = 0.6948 
 Residual = 1.6156  Quantile = 0.6806 
 Residual = 1.6148  Quantile = 0.6666 
 Residual = 1.6121  Quantile = 0.6527 
 Residual = 1.61  Quantile = 0.639 
 Residual = 1.5858  Quantile = 0.6253 
 Residual = 1.5849  Quantile = 0.6118 
 Residual = 1.5149  Quantile = 0.5983 
 Residual = 1.5042  Quantile = 0.585 
 Residual = 1.4862  Quantile = 0.5718 
 Residual = 1.4829  Quantile = 0.5587 
 Residual = 1.4767  Quantile = 0.5457 
 Residual = 1.4738  Quantile = 0.5328 
 Residual = 1.4581  Quantile = 0.5199 
 Residual = 1.4554  Quantile = 0.5072 
 Residual = 1.4068  Quantile = 0.4945 
 Residual = 1.406  Quantile = 0.4819 
 Residual = 1.3717  Quantile = 0.4694 
 Residual = 1.3688  Quantile = 0.4569 
 Residual = 1.3578  Quantile = 0.4446 
 Residual = 1.3488  Quantile = 0.4323 
 Residual = 1.3485  Quantile = 0.42 
 Residual = 1.3481  Quantile = 0.4078 
 Residual = 1.3332  Quantile = 0.3957 
 Residual = 1.3325  Quantile = 0.3837 
 Residual = 1.2726  Quantile = 0.3717 
 Residual = 1.2465  Quantile = 0.3597 
 Residual = 1.1923  Quantile = 0.3478 
 Residual = 1.0137  Quantile = 0.336 
 Residual = 1.0101  Quantile = 0.3242 
 Residual = 1.0041  Quantile = 0.3124 
 Residual = 0.986  Quantile = 0.3007 
 Residual = 0.8787  Quantile = 0.289 
 Residual = 0.8102  Quantile = 0.2774 
 Residual = 0.7371  Quantile = 0.2658 
 Residual = 0.54  Quantile = 0.2542 
 Residual = 0.518  Quantile = 0.2427 
 Residual = 0.4094  Quantile = 0.2312 
 Residual = 0.228  Quantile = 0.2197 
 Residual = 0.201  Quantile = 0.2083 
 Residual = 0.1675  Quantile = 0.1969 
 Residual = 0.0208  Quantile = 0.1855 
 Residual = 0.0163  Quantile = 0.1741 
 Residual = 0.0133  Quantile = 0.1628 
 Residual = 0.0029  Quantile = 0.1515 
 Residual = 0.0027  Quantile = 0.1402 
 Residual = 0.0021  Quantile = 0.1289 
 Residual = 0.002  Quantile = 0.1176 
 Residual = .00013  Quantile = 0.1064 
 Residual = -0.001  Quantile = 0.0952 
 Residual = -0.002  Quantile = 0.0839 
 Residual = -0.004  Quantile = 0.0727 
 Residual = -0.004  Quantile = 0.0615 
 Residual = -0.006  Quantile = 0.0503 
 Residual = -0.008  Quantile = 0.0391 
 Residual = -0.014  Quantile = 0.0279 
 Residual = -0.015  Quantile = 0.0168 
 Residual = -0.015  Quantile = 0.0056 
 Residual = -0.027  Quantile = -0.006 
 Residual = -0.036  Quantile = -0.017 
 Residual = -0.16  Quantile = -0.028 
 Residual = -0.171  Quantile = -0.039 
 Residual = -0.374  Quantile = -0.05 
 Residual = -0.532  Quantile = -0.062 
 Residual = -0.548  Quantile = -0.073 
 Residual = -0.589  Quantile = -0.084 
 Residual = -0.61  Quantile = -0.095 
 Residual = -0.619  Quantile = -0.106 
 Residual = -0.639  Quantile = -0.118 
 Residual = -0.653  Quantile = -0.129 
 Residual = -0.758  Quantile = -0.14 
 Residual = -0.787  Quantile = -0.151 
 Residual = -0.798  Quantile = -0.163 
 Residual = -0.799  Quantile = -0.174 
 Residual = -0.822  Quantile = -0.185 
 Residual = -0.897  Quantile = -0.197 
 Residual = -0.966  Quantile = -0.208 
 Residual = -0.984  Quantile = -0.22 
 Residual = -0.985  Quantile = -0.231 
 Residual = -1.007  Quantile = -0.243 
 Residual = -1.009  Quantile = -0.254 
 Residual = -1.051  Quantile = -0.266 
 Residual = -1.071  Quantile = -0.277 
 Residual = -1.104  Quantile = -0.289 
 Residual = -1.114  Quantile = -0.301 
 Residual = -1.132  Quantile = -0.312 
 Residual = -1.166  Quantile = -0.324 
 Residual = -1.177  Quantile = -0.336 
 Residual = -1.185  Quantile = -0.348 
 Residual = -1.195  Quantile = -0.36 
 Residual = -1.271  Quantile = -0.372 
 Residual = -1.329  Quantile = -0.384 
 Residual = -1.329  Quantile = -0.396 
 Residual = -1.364  Quantile = -0.408 
 Residual = -1.381  Quantile = -0.42 
 Residual = -1.383  Quantile = -0.432 
 Residual = -1.403  Quantile = -0.445 
 Residual = -1.42  Quantile = -0.457 
 Residual = -1.422  Quantile = -0.469 
 Residual = -1.439  Quantile = -0.482 
 Residual = -1.446  Quantile = -0.494 
 Residual = -1.474  Quantile = -0.507 
 Residual = -1.474  Quantile = -0.52 
 Residual = -1.481  Quantile = -0.533 
 Residual = -1.501  Quantile = -0.546 
 Residual = -1.517  Quantile = -0.559 
 Residual = -1.546  Quantile = -0.572 
 Residual = -1.594  Quantile = -0.585 
 Residual = -1.619  Quantile = -0.598 
 Residual = -1.65  Quantile = -0.612 
 Residual = -1.669  Quantile = -0.625 
 Residual = -1.736  Quantile = -0.639 
 Residual = -1.779  Quantile = -0.653 
 Residual = -1.807  Quantile = -0.667 
 Residual = -1.882  Quantile = -0.681 
 Residual = -1.892  Quantile = -0.695 
 Residual = -1.92  Quantile = -0.709 
 Residual = -1.932  Quantile = -0.724 
 Residual = -1.961  Quantile = -0.738 
 Residual = -1.965  Quantile = -0.753 
 Residual = -1.986  Quantile = -0.768 
 Residual = -1.998  Quantile = -0.783 
 Residual = -2.005  Quantile = -0.798 
 Residual = -2.04  Quantile = -0.814 
 Residual = -2.051  Quantile = -0.829 
 Residual = -2.053  Quantile = -0.845 
 Residual = -2.055  Quantile = -0.861 
 Residual = -2.158  Quantile = -0.878 
 Residual = -2.185  Quantile = -0.894 
 Residual = -2.203  Quantile = -0.911 
 Residual = -2.204  Quantile = -0.928 
 Residual = -2.255  Quantile = -0.945 
 Residual = -2.392  Quantile = -0.963 
 Residual = -2.393  Quantile = -0.981 
 Residual = -2.402  Quantile = -0.999 
 Residual = -2.46  Quantile = -1.018 
 Residual = -2.461  Quantile = -1.037 
 Residual = -2.466  Quantile = -1.056 
 Residual = -2.478  Quantile = -1.076 
 Residual = -2.538  Quantile = -1.096 
 Residual = -2.553  Quantile = -1.116 
 Residual = -2.616  Quantile = -1.138 
 Residual = -2.624  Quantile = -1.159 
 Residual = -2.648  Quantile = -1.181 
 Residual = -2.652  Quantile = -1.204 
 Residual = -2.665  Quantile = -1.228 
 Residual = -2.669  Quantile = -1.252 
 Residual = -2.671  Quantile = -1.276 
 Residual = -2.677  Quantile = -1.302 
 Residual = -2.685  Quantile = -1.329 
 Residual = -2.705  Quantile = -1.356 
 Residual = -2.758  Quantile = -1.385 
 Residual = -2.761  Quantile = -1.415 
 Residual = -2.779  Quantile = -1.446 
 Residual = -2.779  Quantile = -1.478 
 Residual = -2.781  Quantile = -1.512 
 Residual = -3.004  Quantile = -1.548 
 Residual = -3.018  Quantile = -1.587 
 Residual = -3.165  Quantile = -1.627 
 Residual = -3.193  Quantile = -1.671 
 Residual = -3.199  Quantile = -1.718 
 Residual = -3.292  Quantile = -1.769 
 Residual = -3.562  Quantile = -1.825 
 Residual = -3.856  Quantile = -1.888 
 Residual = -3.998  Quantile = -1.959 
 Residual = -3.999  Quantile = -2.041 
 Residual = -4  Quantile = -2.14 
 Residual = -4.001  Quantile = -2.267 
 Residual = -4.001  Quantile = -2.445 
 Residual = -4.002  Quantile = -2.772 
 Residual = -4.008  Slope = 1.9834 
 Y = -0.193  Lag = 24 
 ACF = -0.114  Lag = 23 
 ACF = -0.071  Lag = 22 
 ACF = -0.035  Lag = 21 
 ACF = -0.04  Lag = 20 
 ACF = 0.0595  Lag = 19 
 ACF = 0.0208  Lag = 18 
 ACF = -0.051  Lag = 17 
 ACF = 0.0712  Lag = 16 
 ACF = 0.0124  Lag = 15 
 ACF = 0.0288  Lag = 14 
 ACF = 0.0509  Lag = 13 
 ACF = 0.1079  Lag = 12 
 ACF = 0.0217  Lag = 11 
 ACF = -0.061  Lag = 10 
 ACF = -0.152  Lag = 9 
 ACF = 0.0145  Lag = 8 
 ACF = -0.014  Lag = 7 
 ACF = -0.043  Lag = 6 
 ACF = 0.0337  Lag = 5 
 ACF = 0.036  Lag = 4 
 ACF = -0.028  Lag = 3 
 ACF = -0.021  Lag = 2 
 ACF = -0.063  Lag = 1 
 ACF = 0.1109  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.144 
 Upper = 0.1444  Lag = 23 
 Lower = -0.144 
 Upper = 0.1438  Lag = 23 
 Lower = -0.144 
 Upper = 0.1438  Lag = 22 
 Lower = -0.144 
 Upper = 0.1437  Lag = 22 
 Lower = -0.144 
 Upper = 0.1437  Lag = 21 
 Lower = -0.143 
 Upper = 0.1435  Lag = 21 
 Lower = -0.143 
 Upper = 0.1435  Lag = 20 
 Lower = -0.143 
 Upper = 0.143  Lag = 20 
 Lower = -0.143 
 Upper = 0.143  Lag = 19 
 Lower = -0.143 
 Upper = 0.143  Lag = 19 
 Lower = -0.143 
 Upper = 0.143  Lag = 18 
 Lower = -0.143 
 Upper = 0.1426  Lag = 18 
 Lower = -0.143 
 Upper = 0.1426  Lag = 17 
 Lower = -0.142 
 Upper = 0.142  Lag = 17 
 Lower = -0.142 
 Upper = 0.142  Lag = 16 
 Lower = -0.142 
 Upper = 0.142  Lag = 16 
 Lower = -0.142 
 Upper = 0.142  Lag = 15 
 Lower = -0.142 
 Upper = 0.1419  Lag = 15 
 Lower = -0.142 
 Upper = 0.1419  Lag = 14 
 Lower = -0.142 
 Upper = 0.1416  Lag = 14 
 Lower = -0.142 
 Upper = 0.1416  Lag = 13 
 Lower = -0.14 
 Upper = 0.1401  Lag = 13 
 Lower = -0.14 
 Upper = 0.1401  Lag = 12 
 Lower = -0.14 
 Upper = 0.14  Lag = 12 
 Lower = -0.14 
 Upper = 0.14  Lag = 11 
 Lower = -0.14 
 Upper = 0.1395  Lag = 11 
 Lower = -0.14 
 Upper = 0.1395  Lag = 10 
 Lower = -0.137 
 Upper = 0.1366  Lag = 10 
 Lower = -0.137 
 Upper = 0.1366  Lag = 9 
 Lower = -0.137 
 Upper = 0.1365  Lag = 9 
 Lower = -0.137 
 Upper = 0.1365  Lag = 8 
 Lower = -0.137 
 Upper = 0.1365  Lag = 8 
 Lower = -0.137 
 Upper = 0.1365  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 7 
 Lower = -0.136 
 Upper = 0.1363  Lag = 6 
 Lower = -0.136 
 Upper = 0.1361  Lag = 6 
 Lower = -0.136 
 Upper = 0.1361  Lag = 5 
 Lower = -0.136 
 Upper = 0.1359  Lag = 5 
 Lower = -0.136 
 Upper = 0.1359  Lag = 4 
 Lower = -0.136 
 Upper = 0.1358  Lag = 4 
 Lower = -0.136 
 Upper = 0.1358  Lag = 3 
 Lower = -0.136 
 Upper = 0.1358  Lag = 3 
 Lower = -0.136 
 Upper = 0.1358  Lag = 2 
 Lower = -0.135 
 Upper = 0.1353  Lag = 2 
 Lower = -0.135 
 Upper = 0.1353  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = -0.086  Lag = 23 
 PACF = -0.034  Lag = 22 
 PACF = -0.031  Lag = 21 
 PACF = -0.058  Lag = 20 
 PACF = 0.0301  Lag = 19 
 PACF = 0.0489  Lag = 18 
 PACF = -0.086  Lag = 17 
 PACF = 0.0701  Lag = 16 
 PACF = 0.0273  Lag = 15 
 PACF = 0.044  Lag = 14 
 PACF = 0.0169  Lag = 13 
 PACF = 0.1029  Lag = 12 
 PACF = 0.0144  Lag = 11 
 PACF = -0.028  Lag = 10 
 PACF = -0.16  Lag = 9 
 PACF = 0.0132  Lag = 8 
 PACF = .00014  Lag = 7 
 PACF = -0.046  Lag = 6 
 PACF = 0.0208  Lag = 5 
 PACF = 0.0418  Lag = 4 
 PACF = -0.031  Lag = 3 
 PACF = -0.006  Lag = 2 
 PACF = -0.076  Lag = 1 
 PACF = 0.1109  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = -0.665  Date_of_death = Jun2019 
 Loess Fit = -0.65  Date_of_death = Jun2019 
 Loess Fit = -0.65  Date_of_death = May2019 
 Loess Fit = -0.636  Date_of_death = May2019 
 Loess Fit = -0.636  Date_of_death = Apr2019 
 Loess Fit = -0.621  Date_of_death = Apr2019 
 Loess Fit = -0.621  Date_of_death = Mar2019 
 Loess Fit = -0.607  Date_of_death = Mar2019 
 Loess Fit = -0.607  Date_of_death = Feb2019 
 Loess Fit = -0.592  Date_of_death = Feb2019 
 Loess Fit = -0.592  Date_of_death = Jan2019 
 Loess Fit = -0.578  Date_of_death = Jan2019 
 Loess Fit = -0.578  Date_of_death = Dec2018 
 Loess Fit = -0.563  Date_of_death = Dec2018 
 Loess Fit = -0.563  Date_of_death = Nov2018 
 Loess Fit = -0.549  Date_of_death = Nov2018 
 Loess Fit = -0.549  Date_of_death = Sep2018 
 Loess Fit = -0.535  Date_of_death = Sep2018 
 Loess Fit = -0.535  Date_of_death = Aug2018 
 Loess Fit = -0.52  Date_of_death = Aug2018 
 Loess Fit = -0.52  Date_of_death = Jul2018 
 Loess Fit = -0.506  Date_of_death = Jul2018 
 Loess Fit = -0.506  Date_of_death = Jun2018 
 Loess Fit = -0.491  Date_of_death = Jun2018 
 Loess Fit = -0.491  Date_of_death = May2018 
 Loess Fit = -0.477  Date_of_death = May2018 
 Loess Fit = -0.477  Date_of_death = Apr2018 
 Loess Fit = -0.463  Date_of_death = Apr2018 
 Loess Fit = -0.463  Date_of_death = Mar2018 
 Loess Fit = -0.448  Date_of_death = Mar2018 
 Loess Fit = -0.448  Date_of_death = Feb2018 
 Loess Fit = -0.434  Date_of_death = Feb2018 
 Loess Fit = -0.434  Date_of_death = Jan2018 
 Loess Fit = -0.42  Date_of_death = Jan2018 
 Loess Fit = -0.42  Date_of_death = Nov2017 
 Loess Fit = -0.406  Date_of_death = Nov2017 
 Loess Fit = -0.406  Date_of_death = Oct2017 
 Loess Fit = -0.391  Date_of_death = Oct2017 
 Loess Fit = -0.391  Date_of_death = Sep2017 
 Loess Fit = -0.377  Date_of_death = Sep2017 
 Loess Fit = -0.377  Date_of_death = Aug2017 
 Loess Fit = -0.363  Date_of_death = Aug2017 
 Loess Fit = -0.363  Date_of_death = Jul2017 
 Loess Fit = -0.349  Date_of_death = Jul2017 
 Loess Fit = -0.349  Date_of_death = Jun2017 
 Loess Fit = -0.335  Date_of_death = Jun2017 
 Loess Fit = -0.335  Date_of_death = May2017 
 Loess Fit = -0.32  Date_of_death = May2017 
 Loess Fit = -0.32  Date_of_death = Apr2017 
 Loess Fit = -0.306  Date_of_death = Apr2017 
 Loess Fit = -0.306  Date_of_death = Mar2017 
 Loess Fit = -0.293  Date_of_death = Mar2017 
 Loess Fit = -0.293  Date_of_death = Jan2017 
 Loess Fit = -0.28  Date_of_death = Jan2017 
 Loess Fit = -0.28  Date_of_death = Dec2016 
 Loess Fit = -0.266  Date_of_death = Dec2016 
 Loess Fit = -0.266  Date_of_death = Nov2016 
 Loess Fit = -0.253  Date_of_death = Nov2016 
 Loess Fit = -0.253  Date_of_death = Oct2016 
 Loess Fit = -0.24  Date_of_death = Oct2016 
 Loess Fit = -0.24  Date_of_death = Sep2016 
 Loess Fit = -0.227  Date_of_death = Sep2016 
 Loess Fit = -0.227  Date_of_death = Aug2016 
 Loess Fit = -0.213  Date_of_death = Aug2016 
 Loess Fit = -0.213  Date_of_death = Jul2016 
 Loess Fit = -0.2  Date_of_death = Jul2016 
 Loess Fit = -0.2  Date_of_death = Jun2016 
 Loess Fit = -0.187  Date_of_death = Jun2016 
 Loess Fit = -0.187  Date_of_death = Apr2016 
 Loess Fit = -0.174  Date_of_death = Apr2016 
 Loess Fit = -0.174  Date_of_death = Mar2016 
 Loess Fit = -0.161  Date_of_death = Mar2016 
 Loess Fit = -0.161  Date_of_death = Feb2016 
 Loess Fit = -0.147  Date_of_death = Feb2016 
 Loess Fit = -0.147  Date_of_death = Jan2016 
 Loess Fit = -0.137  Date_of_death = Jan2016 
 Loess Fit = -0.137  Date_of_death = Dec2015 
 Loess Fit = -0.132  Date_of_death = Dec2015 
 Loess Fit = -0.132  Date_of_death = Nov2015 
 Loess Fit = -0.126  Date_of_death = Nov2015 
 Loess Fit = -0.126  Date_of_death = Oct2015 
 Loess Fit = -0.121  Date_of_death = Oct2015 
 Loess Fit = -0.121  Date_of_death = Sep2015 
 Loess Fit = -0.115  Date_of_death = Sep2015 
 Loess Fit = -0.115  Date_of_death = Aug2015 
 Loess Fit = -0.11  Date_of_death = Aug2015 
 Loess Fit = -0.11  Date_of_death = Jun2015 
 Loess Fit = -0.105  Date_of_death = Jun2015 
 Loess Fit = -0.105  Date_of_death = May2015 
 Loess Fit = -0.099  Date_of_death = May2015 
 Loess Fit = -0.099  Date_of_death = Apr2015 
 Loess Fit = -0.094  Date_of_death = Apr2015 
 Loess Fit = -0.094  Date_of_death = Mar2015 
 Loess Fit = -0.088  Date_of_death = Mar2015 
 Loess Fit = -0.088  Date_of_death = Feb2015 
 Loess Fit = -0.083  Date_of_death = Feb2015 
 Loess Fit = -0.083  Date_of_death = Jan2015 
 Loess Fit = -0.078  Date_of_death = Jan2015 
 Loess Fit = -0.078  Date_of_death = Dec2014 
 Loess Fit = -0.072  Date_of_death = Dec2014 
 Loess Fit = -0.072  Date_of_death = Nov2014 
 Loess Fit = -0.073  Date_of_death = Nov2014 
 Loess Fit = -0.073  Date_of_death = Oct2014 
 Loess Fit = -0.076  Date_of_death = Oct2014 
 Loess Fit = -0.076  Date_of_death = Aug2014 
 Loess Fit = -0.079  Date_of_death = Aug2014 
 Loess Fit = -0.079  Date_of_death = Jul2014 
 Loess Fit = -0.082  Date_of_death = Jul2014 
 Loess Fit = -0.082  Date_of_death = Jun2014 
 Loess Fit = -0.085  Date_of_death = Jun2014 
 Loess Fit = -0.085  Date_of_death = May2014 
 Loess Fit = -0.088  Date_of_death = May2014 
 Loess Fit = -0.088  Date_of_death = Apr2014 
 Loess Fit = -0.09  Date_of_death = Apr2014 
 Loess Fit = -0.09  Date_of_death = Mar2014 
 Loess Fit = -0.093  Date_of_death = Mar2014 
 Loess Fit = -0.093  Date_of_death = Feb2014 
 Loess Fit = -0.096  Date_of_death = Feb2014 
 Loess Fit = -0.096  Date_of_death = Jan2014 
 Loess Fit = -0.099  Date_of_death = Jan2014 
 Loess Fit = -0.099  Date_of_death = Nov2013 
 Loess Fit = -0.102  Date_of_death = Nov2013 
 Loess Fit = -0.102  Date_of_death = Oct2013 
 Loess Fit = -0.105  Date_of_death = Oct2013 
 Loess Fit = -0.105  Date_of_death = Sep2013 
 Loess Fit = -0.106  Date_of_death = Sep2013 
 Loess Fit = -0.106  Date_of_death = Aug2013 
 Loess Fit = -0.102  Date_of_death = Aug2013 
 Loess Fit = -0.102  Date_of_death = Jul2013 
 Loess Fit = -0.099  Date_of_death = Jul2013 
 Loess Fit = -0.099  Date_of_death = Jun2013 
 Loess Fit = -0.095  Date_of_death = Jun2013 
 Loess Fit = -0.095  Date_of_death = May2013 
 Loess Fit = -0.091  Date_of_death = May2013 
 Loess Fit = -0.091  Date_of_death = Apr2013 
 Loess Fit = -0.088  Date_of_death = Apr2013 
 Loess Fit = -0.088  Date_of_death = Mar2013 
 Loess Fit = -0.084  Date_of_death = Mar2013 
 Loess Fit = -0.084  Date_of_death = Jan2013 
 Loess Fit = -0.08  Date_of_death = Jan2013 
 Loess Fit = -0.08  Date_of_death = Dec2012 
 Loess Fit = -0.077  Date_of_death = Dec2012 
 Loess Fit = -0.077  Date_of_death = Nov2012 
 Loess Fit = -0.073  Date_of_death = Nov2012 
 Loess Fit = -0.073  Date_of_death = Oct2012 
 Loess Fit = -0.069  Date_of_death = Oct2012 
 Loess Fit = -0.069  Date_of_death = Sep2012 
 Loess Fit = -0.066  Date_of_death = Sep2012 
 Loess Fit = -0.066  Date_of_death = Aug2012 
 Loess Fit = -0.062  Date_of_death = Aug2012 
 Loess Fit = -0.062  Date_of_death = Jul2012 
 Loess Fit = -0.056  Date_of_death = Jul2012 
 Loess Fit = -0.056  Date_of_death = Jun2012 
 Loess Fit = -0.049  Date_of_death = Jun2012 
 Loess Fit = -0.049  Date_of_death = May2012 
 Loess Fit = -0.041  Date_of_death = May2012 
 Loess Fit = -0.041  Date_of_death = Mar2012 
 Loess Fit = -0.034  Date_of_death = Mar2012 
 Loess Fit = -0.034  Date_of_death = Feb2012 
 Loess Fit = -0.027  Date_of_death = Feb2012 
 Loess Fit = -0.027  Date_of_death = Jan2012 
 Loess Fit = -0.019  Date_of_death = Jan2012 
 Loess Fit = -0.019  Date_of_death = Dec2011 
 Loess Fit = -0.012  Date_of_death = Dec2011 
 Loess Fit = -0.012  Date_of_death = Nov2011 
 Loess Fit = -0.005  Date_of_death = Nov2011 
 Loess Fit = -0.005  Date_of_death = Oct2011 
 Loess Fit = 0.0028  Date_of_death = Oct2011 
 Loess Fit = 0.0028  Date_of_death = Sep2011 
 Loess Fit = 0.0101  Date_of_death = Sep2011 
 Loess Fit = 0.0101  Date_of_death = Aug2011 
 Loess Fit = 0.0174  Date_of_death = Aug2011 
 Loess Fit = 0.0174  Date_of_death = Jul2011 
 Loess Fit = 0.0248  Date_of_death = Jul2011 
 Loess Fit = 0.0248  Date_of_death = May2011 
 Loess Fit = 0.032  Date_of_death = May2011 
 Loess Fit = 0.032  Date_of_death = Apr2011 
 Loess Fit = 0.0377  Date_of_death = Apr2011 
 Loess Fit = 0.0377  Date_of_death = Mar2011 
 Loess Fit = 0.0433  Date_of_death = Mar2011 
 Loess Fit = 0.0433  Date_of_death = Feb2011 
 Loess Fit = 0.049  Date_of_death = Feb2011 
 Loess Fit = 0.049  Date_of_death = Jan2011 
 Loess Fit = 0.0547  Date_of_death = Jan2011 
 Loess Fit = 0.0547  Date_of_death = Dec2010 
 Loess Fit = 0.0604  Date_of_death = Dec2010 
 Loess Fit = 0.0604  Date_of_death = Nov2010 
 Loess Fit = 0.0661  Date_of_death = Nov2010 
 Loess Fit = 0.0661  Date_of_death = Oct2010 
 Loess Fit = 0.0718  Date_of_death = Oct2010 
 Loess Fit = 0.0718  Date_of_death = Aug2010 
 Loess Fit = 0.0774  Date_of_death = Aug2010 
 Loess Fit = 0.0774  Date_of_death = Jul2010 
 Loess Fit = 0.0831  Date_of_death = Jul2010 
 Loess Fit = 0.0831  Date_of_death = Jun2010 
 Loess Fit = 0.0888  Date_of_death = Jun2010 
 Loess Fit = 0.0888  Date_of_death = May2010 
 Loess Fit = 0.0945  Date_of_death = May2010 
 Loess Fit = 0.0945  Date_of_death = Apr2010 
 Loess Fit = 0.1002  Date_of_death = Apr2010 
 Loess Fit = 0.1002  Date_of_death = Mar2010 
 Loess Fit = 0.1039  Date_of_death = Mar2010 
 Loess Fit = 0.1039  Date_of_death = Feb2010 
 Loess Fit = 0.1058  Date_of_death = Feb2010 
 Loess Fit = 0.1058  Date_of_death = Jan2010 
 Loess Fit = 0.1077  Date_of_death = Jan2010 
 Loess Fit = 0.1077  Date_of_death = Dec2009 
 Loess Fit = 0.1096  Date_of_death = Dec2009 
 Loess Fit = 0.1096  Date_of_death = Oct2009 
 Loess Fit = 0.1115  Date_of_death = Oct2009 
 Loess Fit = 0.1115  Date_of_death = Sep2009 
 Loess Fit = 0.1134  Date_of_death = Sep2009 
 Loess Fit = 0.1134  Date_of_death = Aug2009 
 Loess Fit = 0.1153  Date_of_death = Aug2009 
 Loess Fit = 0.1153  Date_of_death = Jul2009 
 Loess Fit = 0.1172  Date_of_death = Jul2009 
 Loess Fit = 0.1172  Date_of_death = Jun2009 
 Loess Fit = 0.1192  Date_of_death = Jun2009 
 Loess Fit = 0.1192  Date_of_death = May2009 
 Loess Fit = 0.1211  Date_of_death = May2009 
 Loess Fit = 0.1211  Date_of_death = Apr2009 
 Loess Fit = 0.123  Date_of_death = Apr2009 
 Loess Fit = 0.123  Date_of_death = Mar2009 
 Loess Fit = 0.1249  Date_of_death = Mar2009 
 Loess Fit = 0.1249  Date_of_death = Jan2009 
 Loess Fit = 0.1264  Date_of_death = Jan2009 
 Loess Fit = 0.1264  Date_of_death = Dec2008 
 Loess Fit = 0.1144  Date_of_death = Dec2008 
 Loess Fit = 0.1144  Date_of_death = Nov2008 
 Loess Fit = 0.1024  Date_of_death = Nov2008 
 Loess Fit = 0.1024  Date_of_death = Oct2008 
 Loess Fit = 0.0905  Date_of_death = Oct2008 
 Loess Fit = 0.0905  Date_of_death = Sep2008 
 Loess Fit = 0.0785  Date_of_death = Sep2008 
 Loess Fit = 0.0785  Date_of_death = Aug2008 
 Loess Fit = 0.0666  Date_of_death = Aug2008 
 Loess Fit = 0.0666  Date_of_death = Jul2008 
 Loess Fit = 0.0546  Date_of_death = Jul2008 
 Loess Fit = 0.0546  Date_of_death = Jun2008 
 Loess Fit = 0.0426  Date_of_death = Jun2008 
 Loess Fit = 0.0426  Date_of_death = May2008 
 Loess Fit = 0.0307  Date_of_death = May2008 
 Loess Fit = 0.0307  Date_of_death = Mar2008 
 Loess Fit = 0.0187  Date_of_death = Mar2008 
 Loess Fit = 0.0187  Date_of_death = Feb2008 
 Loess Fit = 0.0067  Date_of_death = Feb2008 
 Loess Fit = 0.0067  Date_of_death = Jan2008 
 Loess Fit = -0.005  Date_of_death = Jan2008 
 Loess Fit = -0.005  Date_of_death = Dec2007 
 Loess Fit = -0.017  Date_of_death = Dec2007 
 Loess Fit = -0.017  Date_of_death = Nov2007 
 Loess Fit = -0.033  Date_of_death = Nov2007 
 Loess Fit = -0.033  Date_of_death = Oct2007 
 Loess Fit = -0.056  Date_of_death = Oct2007 
 Loess Fit = -0.056  Date_of_death = Sep2007 
 Loess Fit = -0.078  Date_of_death = Sep2007 
 Loess Fit = -0.078  Date_of_death = Aug2007 
 Loess Fit = -0.1  Date_of_death = Aug2007 
 Loess Fit = -0.1  Date_of_death = Jul2007 
 Loess Fit = -0.122  Date_of_death = Jul2007 
 Loess Fit = -0.122  Date_of_death = May2007 
 Loess Fit = -0.145  Date_of_death = May2007 
 Loess Fit = -0.145  Date_of_death = Apr2007 
 Loess Fit = -0.167  Date_of_death = Apr2007 
 Loess Fit = -0.167  Date_of_death = Mar2007 
 Loess Fit = -0.189  Date_of_death = Mar2007 
 Loess Fit = -0.189  Date_of_death = Feb2007 
 Loess Fit = -0.211  Date_of_death = Feb2007 
 Loess Fit = -0.211  Date_of_death = Jan2007 
 Loess Fit = -0.233  Date_of_death = Jan2007 
 Loess Fit = -0.233  Date_of_death = Dec2006 
 Loess Fit = -0.256  Date_of_death = Dec2006 
 Loess Fit = -0.256  Date_of_death = Nov2006 
 Loess Fit = -0.278  Date_of_death = Nov2006 
 Loess Fit = -0.278  Date_of_death = Oct2006 
 Loess Fit = -0.3  Date_of_death = Oct2006 
 Loess Fit = -0.3  Date_of_death = Sep2006 
 Loess Fit = -0.316  Date_of_death = Sep2006 
 Loess Fit = -0.316  Date_of_death = Jul2006 
 Loess Fit = -0.33  Date_of_death = Jul2006 
 Loess Fit = -0.33  Date_of_death = Jun2006 
 Loess Fit = -0.344  Date_of_death = Jun2006 
 Loess Fit = -0.344  Date_of_death = May2006 
 Loess Fit = -0.358  Date_of_death = May2006 
 Loess Fit = -0.358  Date_of_death = Apr2006 
 Loess Fit = -0.372  Date_of_death = Apr2006 
 Loess Fit = -0.372  Date_of_death = Mar2006 
 Loess Fit = -0.387  Date_of_death = Mar2006 
 Loess Fit = -0.387  Date_of_death = Feb2006 
 Loess Fit = -0.401  Date_of_death = Feb2006 
 Loess Fit = -0.401  Date_of_death = Jan2006 
 Loess Fit = -0.415  Date_of_death = Jan2006 
 Loess Fit = -0.415  Date_of_death = Dec2005 
 Loess Fit = -0.429  Date_of_death = Dec2005 
 Loess Fit = -0.429  Date_of_death = Oct2005 
 Loess Fit = -0.444  Date_of_death = Oct2005 
 Loess Fit = -0.444  Date_of_death = Sep2005 
 Loess Fit = -0.458  Date_of_death = Sep2005 
 Loess Fit = -0.458  Date_of_death = Aug2005 
 Loess Fit = -0.472  Date_of_death = Aug2005 
 Loess Fit = -0.472  Date_of_death = Jul2005 
 Loess Fit = -0.481  Date_of_death = Jul2005 
 Loess Fit = -0.481  Date_of_death = Jun2005 
 Loess Fit = -0.479  Date_of_death = Jun2005 
 Loess Fit = -0.479  Date_of_death = May2005 
 Loess Fit = -0.477  Date_of_death = May2005 
 Loess Fit = -0.477  Date_of_death = Apr2005 
 Loess Fit = -0.475  Date_of_death = Apr2005 
 Loess Fit = -0.475  Date_of_death = Mar2005 
 Loess Fit = -0.473  Date_of_death = Mar2005 
 Loess Fit = -0.473  Date_of_death = Feb2005 
 Loess Fit = -0.471  Date_of_death = Feb2005 
 Loess Fit = -0.471  Date_of_death = Dec2004 
 Loess Fit = -0.47  Date_of_death = Dec2004 
 Loess Fit = -0.47  Date_of_death = Nov2004 
 Loess Fit = -0.468  Date_of_death = Nov2004 
 Loess Fit = -0.468  Date_of_death = Oct2004 
 Loess Fit = -0.466  Date_of_death = Oct2004 
 Loess Fit = -0.466  Date_of_death = Sep2004 
 Loess Fit = -0.464  Date_of_death = Sep2004 
 Loess Fit = -0.464  Date_of_death = Aug2004 
 Loess Fit = -0.462  Date_of_death = Aug2004 
 Loess Fit = -0.462  Date_of_death = Jul2004 
 Loess Fit = -0.46  Date_of_death = Jul2004 
 Loess Fit = -0.46  Date_of_death = Jun2004 
 Loess Fit = -0.458  Date_of_death = Jun2004 
 Loess Fit = -0.458  Date_of_death = May2004 
 Loess Fit = -0.451  Date_of_death = May2004 
 Loess Fit = -0.451  Date_of_death = Apr2004 
 Loess Fit = -0.442  Date_of_death = Apr2004 
 Loess Fit = -0.442  Date_of_death = Feb2004 
 Loess Fit = -0.433  Date_of_death = Feb2004 
 Loess Fit = -0.433  Date_of_death = Jan2004 
 Loess Fit = -0.424  Date_of_death = Jan2004 
 Loess Fit = -0.424  Date_of_death = Dec2003 
 Loess Fit = -0.415  Date_of_death = Dec2003 
 Loess Fit = -0.415  Date_of_death = Nov2003 
 Loess Fit = -0.407  Date_of_death = Nov2003 
 Loess Fit = -0.407  Date_of_death = Oct2003 
 Loess Fit = -0.398  Date_of_death = Oct2003 
 Loess Fit = -0.398  Date_of_death = Sep2003 
 Loess Fit = -0.389  Date_of_death = Sep2003 
 Loess Fit = -0.389  Date_of_death = Aug2003 
 Loess Fit = -0.38  Date_of_death = Aug2003 
 Loess Fit = -0.38  Date_of_death = Jul2003 
 Loess Fit = -0.371  Date_of_death = Jul2003 
 Loess Fit = -0.371  Date_of_death = Jun2003 
 Loess Fit = -0.363  Date_of_death = Jun2003 
 Loess Fit = -0.363  Date_of_death = Apr2003 
 Loess Fit = -0.354  Date_of_death = Apr2003 
 Loess Fit = -0.354  Date_of_death = Mar2003 
 Loess Fit = -0.345  Date_of_death = Mar2003 
 Loess Fit = -0.345  Date_of_death = Feb2003 
 Loess Fit = -0.334  Date_of_death = Feb2003 
 Loess Fit = -0.334  Date_of_death = Jan2003 
 Loess Fit = -0.324  Date_of_death = Jan2003 
 Loess Fit = -0.324  Date_of_death = Dec2002 
 Loess Fit = -0.314  Date_of_death = Dec2002 
 Loess Fit = -0.314  Date_of_death = Nov2002 
 Loess Fit = -0.304  Date_of_death = Nov2002 
 Loess Fit = -0.304  Date_of_death = Oct2002 
 Loess Fit = -0.293  Date_of_death = Oct2002 
 Loess Fit = -0.293  Date_of_death = Sep2002 
 Loess Fit = -0.283  Date_of_death = Sep2002 
 Loess Fit = -0.283  Date_of_death = Jul2002 
 Loess Fit = -0.273  Date_of_death = Jul2002 
 Loess Fit = -0.273  Date_of_death = Jun2002 
 Loess Fit = -0.263  Date_of_death = Jun2002 
 Loess Fit = -0.263  Date_of_death = May2002 
 Loess Fit = -0.252  Date_of_death = May2002 
 Loess Fit = -0.252  Date_of_death = Apr2002 
 Loess Fit = -0.242  Date_of_death = Apr2002 
 Loess Fit = -0.242  Date_of_death = Mar2002 
 Loess Fit = -0.232  Date_of_death = Mar2002 
 Loess Fit = -0.232  Date_of_death = Feb2002 
 Loess Fit = -0.222  Date_of_death = Feb2002 
 Loess Fit = -0.222  Date_of_death = Jan2002 
 Loess Fit = -0.211  Date_of_death = Jan2002 
 Loess Fit = -0.211  Date_of_death = Dec2001 
 Loess Fit = -0.199  Date_of_death = Dec2001 
 Loess Fit = -0.199  Date_of_death = Nov2001 
 Loess Fit = -0.187  Date_of_death = Nov2001 
 Loess Fit = -0.187  Date_of_death = Sep2001 
 Loess Fit = -0.176  Date_of_death = Sep2001 
 Loess Fit = -0.176  Date_of_death = Aug2001 
 Loess Fit = -0.164  Date_of_death = Aug2001 
 Loess Fit = -0.164  Date_of_death = Jul2001 
 Loess Fit = -0.153  Date_of_death = Jul2001 
 Loess Fit = -0.153  Date_of_death = Jun2001 
 Loess Fit = -0.141  Date_of_death = Jun2001 
 Loess Fit = -0.141  Date_of_death = May2001 
 Loess Fit = -0.129  Date_of_death = May2001 
 Loess Fit = -0.129  Date_of_death = Apr2001 
 Loess Fit = -0.118  Date_of_death = Apr2001 
 Loess Fit = -0.118  Date_of_death = Mar2001 
 Loess Fit = -0.106  Date_of_death = Mar2001 
 Loess Fit = -0.106  Date_of_death = Feb2001 
 Loess Fit = -0.095  Date_of_death = Feb2001 
 Loess Fit = -0.095  Date_of_death = Jan2001 
 Loess Fit = -0.083  Date_of_death = Aug2019 
 Prediction Error = -1.051  Date_of_death = Jul2019 
 Prediction Error = -2.203  Date_of_death = Jun2019 
 Prediction Error = -1.446  Date_of_death = May2019 
 Prediction Error = 1.4738  Date_of_death = Apr2019 
 Prediction Error = -1.403  Date_of_death = Mar2019 
 Prediction Error = -2.624  Date_of_death = Feb2019 
 Prediction Error = -1.474  Date_of_death = Jan2019 
 Prediction Error = -0.532  Date_of_death = Dec2018 
 Prediction Error = -0.639  Date_of_death = Nov2018 
 Prediction Error = -1.166  Date_of_death = Oct2018 
 Prediction Error = 2.2888  Date_of_death = Sep2018 
 Prediction Error = 1.7786  Date_of_death = Aug2018 
 Prediction Error = 2.0861  Date_of_death = Jul2018 
 Prediction Error = -1.329  Date_of_death = Jun2018 
 Prediction Error = -2.677  Date_of_death = May2018 
 Prediction Error = 1.6156  Date_of_death = Apr2018 
 Prediction Error = -2.616  Date_of_death = Mar2018 
 Prediction Error = -1.736  Date_of_death = Feb2018 
 Prediction Error = -1.594  Date_of_death = Jan2018 
 Prediction Error = 2.6877  Date_of_death = Dec2017 
 Prediction Error = -1.807  Date_of_death = Nov2017 
 Prediction Error = 1.9808  Date_of_death = Oct2017 
 Prediction Error = -1.92  Date_of_death = Sep2017 
 Prediction Error = -2.46  Date_of_death = Aug2017 
 Prediction Error = 2.2561  Date_of_death = Jul2017 
 Prediction Error = -1.481  Date_of_death = Jun2017 
 Prediction Error = 1.406  Date_of_death = May2017 
 Prediction Error = 1.7444  Date_of_death = Apr2017 
 Prediction Error = 1.5042  Date_of_death = Mar2017 
 Prediction Error = -0.787  Date_of_death = Feb2017 
 Prediction Error = 2.6183  Date_of_death = Jan2017 
 Prediction Error = -1.42  Date_of_death = Dec2016 
 Prediction Error = -1.961  Date_of_death = Nov2016 
 Prediction Error = -1.071  Date_of_death = Oct2016 
 Prediction Error = -2.053  Date_of_death = Sep2016 
 Prediction Error = -2.685  Date_of_death = Aug2016 
 Prediction Error = -1.882  Date_of_death = Jul2016 
 Prediction Error = -0.548  Date_of_death = Jun2016 
 Prediction Error = 1.4829  Date_of_death = May2016 
 Prediction Error = -2.538  Date_of_death = Apr2016 
 Prediction Error = -2.758  Date_of_death = Mar2016 
 Prediction Error = 1.2465  Date_of_death = Feb2016 
 Prediction Error = 2.7778  Date_of_death = Jan2016 
 Prediction Error = 2.7495  Date_of_death = Dec2015 
 Prediction Error = -0.008  Date_of_death = Nov2015 
 Prediction Error = -1.177  Date_of_death = Oct2015 
 Prediction Error = -0.036  Date_of_death = Sep2015 
 Prediction Error = 1.4581  Date_of_death = Aug2015 
 Prediction Error = -2.055  Date_of_death = Jul2015 
 Prediction Error = -2.779  Date_of_death = Jun2015 
 Prediction Error = 1.6651  Date_of_death = May2015 
 Prediction Error = 1.6239  Date_of_death = Apr2015 
 Prediction Error = -3.018  Date_of_death = Mar2015 
 Prediction Error = 1.3717  Date_of_death = Feb2015 
 Prediction Error = -1.383  Date_of_death = Jan2015 
 Prediction Error = -1.381  Date_of_death = Dec2014 
 Prediction Error = -0.015  Date_of_death = Nov2014 
 Prediction Error = 0.8787  Date_of_death = Oct2014 
 Prediction Error = 2.1123  Date_of_death = Sep2014 
 Prediction Error = 1.5858  Date_of_death = Aug2014 
 Prediction Error = 2.1531  Date_of_death = Jul2014 
 Prediction Error = 1.3325  Date_of_death = Jun2014 
 Prediction Error = 1.827  Date_of_death = May2014 
 Prediction Error = 1.8274  Date_of_death = Apr2014 
 Prediction Error = -3.292  Date_of_death = Mar2014 
 Prediction Error = 1.5849  Date_of_death = Feb2014 
 Prediction Error = 2.9242  Date_of_death = Jan2014 
 Prediction Error = -0.374  Date_of_death = Dec2013 
 Prediction Error = -2.158  Date_of_death = Nov2013 
 Prediction Error = -1.185  Date_of_death = Oct2013 
 Prediction Error = -2.051  Date_of_death = Sep2013 
 Prediction Error = -1.546  Date_of_death = Aug2013 
 Prediction Error = -2.04  Date_of_death = Jul2013 
 Prediction Error = -0.758  Date_of_death = Jun2013 
 Prediction Error = 1.9669  Date_of_death = May2013 
 Prediction Error = 1.9942  Date_of_death = Apr2013 
 Prediction Error = 0.7371  Date_of_death = Mar2013 
 Prediction Error = 1.6963  Date_of_death = Feb2013 
 Prediction Error = 0.986  Date_of_death = Jan2013 
 Prediction Error = -1.517  Date_of_death = Dec2012 
 Prediction Error = -0.16  Date_of_death = Nov2012 
 Prediction Error = -2.402  Date_of_death = Oct2012 
 Prediction Error = -1.132  Date_of_death = Sep2012 
 Prediction Error = 1.6387  Date_of_death = Aug2012 
 Prediction Error = 2.1821  Date_of_death = Jul2012 
 Prediction Error = 1.3688  Date_of_death = Jun2012 
 Prediction Error = -2.255  Date_of_death = May2012 
 Prediction Error = -2.204  Date_of_death = Apr2012 
 Prediction Error = 0.8102  Date_of_death = Mar2012 
 Prediction Error = -1.474  Date_of_death = Feb2012 
 Prediction Error = -0.015  Date_of_death = Jan2012 
 Prediction Error = -0.589  Date_of_death = Dec2011 
 Prediction Error = -0.171  Date_of_death = Nov2011 
 Prediction Error = -2.671  Date_of_death = Oct2011 
 Prediction Error = -1.271  Date_of_death = Sep2011 
 Prediction Error = -2.669  Date_of_death = Aug2011 
 Prediction Error = 2.385  Date_of_death = Jul2011 
 Prediction Error = 1.4767  Date_of_death = Jun2011 
 Prediction Error = -1.422  Date_of_death = May2011 
 Prediction Error = -2.478  Date_of_death = Apr2011 
 Prediction Error = -3.562  Date_of_death = Mar2011 
 Prediction Error = -2.779  Date_of_death = Feb2011 
 Prediction Error = 3.2865  Date_of_death = Jan2011 
 Prediction Error = 2.6131  Date_of_death = Dec2010 
 Prediction Error = -2.466  Date_of_death = Nov2010 
 Prediction Error = 1.4862  Date_of_death = Oct2010 
 Prediction Error = -2.553  Date_of_death = Sep2010 
 Prediction Error = -1.892  Date_of_death = Aug2010 
 Prediction Error = 2.6372  Date_of_death = Jul2010 
 Prediction Error = 1.6148  Date_of_death = Jun2010 
 Prediction Error = 1.7585  Date_of_death = May2010 
 Prediction Error = -2.761  Date_of_death = Apr2010 
 Prediction Error = 0.54  Date_of_death = Mar2010 
 Prediction Error = 1.3578  Date_of_death = Feb2010 
 Prediction Error = -0.822  Date_of_death = Jan2010 
 Prediction Error = 2.9504  Date_of_death = Dec2009 
 Prediction Error = 1.7204  Date_of_death = Nov2009 
 Prediction Error = 1.7078  Date_of_death = Oct2009 
 Prediction Error = 1.6769  Date_of_death = Sep2009 
 Prediction Error = 1.2726  Date_of_death = Aug2009 
 Prediction Error = 3.006  Date_of_death = Jul2009 
 Prediction Error = 1.8426  Date_of_death = Jun2009 
 Prediction Error = 2.0491  Date_of_death = May2009 
 Prediction Error = 1.4554  Date_of_death = Apr2009 
 Prediction Error = -3.856  Date_of_death = Mar2009 
 Prediction Error = 1.6233  Date_of_death = Feb2009 
 Prediction Error = -0.897  Date_of_death = Jan2009 
 Prediction Error = -0.014  Date_of_death = Dec2008 
 Prediction Error = 1.995  Date_of_death = Nov2008 
 Prediction Error = 1.9688  Date_of_death = Oct2008 
 Prediction Error = 1.9368  Date_of_death = Sep2008 
 Prediction Error = -1.965  Date_of_death = Aug2008 
 Prediction Error = -1.114  Date_of_death = Jul2008 
 Prediction Error = -2.461  Date_of_death = Jun2008 
 Prediction Error = 2.3409  Date_of_death = May2008 
 Prediction Error = -0.61  Date_of_death = Apr2008 
 Prediction Error = 0.1675  Date_of_death = Mar2008 
 Prediction Error = -2.705  Date_of_death = Feb2008 
 Prediction Error = -1.009  Date_of_death = Jan2008 
 Prediction Error = -0.027  Date_of_death = Dec2007 
 Prediction Error = 2.2867  Date_of_death = Nov2007 
 Prediction Error = -2.392  Date_of_death = Oct2007 
 Prediction Error = -2.393  Date_of_death = Sep2007 
 Prediction Error = 1.1923  Date_of_death = Aug2007 
 Prediction Error = 3.335  Date_of_death = Jul2007 
 Prediction Error = 1.7486  Date_of_death = Jun2007 
 Prediction Error = -1.932  Date_of_death = May2007 
 Prediction Error = 1.6121  Date_of_death = Apr2007 
 Prediction Error = 0.201  Date_of_death = Mar2007 
 Prediction Error = 1.5149  Date_of_death = Feb2007 
 Prediction Error = 3.4758  Date_of_death = Jan2007 
 Prediction Error = -1.195  Date_of_death = Dec2006 
 Prediction Error = -1.986  Date_of_death = Nov2006 
 Prediction Error = -2.781  Date_of_death = Oct2006 
 Prediction Error = -1.619  Date_of_death = Sep2006 
 Prediction Error = 1.4068  Date_of_death = Aug2006 
 Prediction Error = -0.799  Date_of_death = Jul2006 
 Prediction Error = -2.648  Date_of_death = Jun2006 
 Prediction Error = -1.104  Date_of_death = May2006 
 Prediction Error = -1.65  Date_of_death = Apr2006 
 Prediction Error = -0.966  Date_of_death = Mar2006 
 Prediction Error = -0.619  Date_of_death = Feb2006 
 Prediction Error = -0.653  Date_of_death = Jan2006 
 Prediction Error = -1.439  Date_of_death = Dec2005 
 Prediction Error = 2.425  Date_of_death = Nov2005 
 Prediction Error = -2.185  Date_of_death = Oct2005 
 Prediction Error = -3.199  Date_of_death = Sep2005 
 Prediction Error = -3.165  Date_of_death = Aug2005 
 Prediction Error = 0.228  Date_of_death = Jul2005 
 Prediction Error = 1.61  Date_of_death = Jun2005 
 Prediction Error = -1.364  Date_of_death = May2005 
 Prediction Error = 0.4094  Date_of_death = Apr2005 
 Prediction Error = 0.0208  Date_of_death = Mar2005 
 Prediction Error = -3.193  Date_of_death = Feb2005 
 Prediction Error = -0.798  Date_of_death = Jan2005 
 Prediction Error = -1.779  Date_of_death = Dec2004 
 Prediction Error = 0.518  Date_of_death = Nov2004 
 Prediction Error = 1.0137  Date_of_death = Oct2004 
 Prediction Error = 1.0041  Date_of_death = Sep2004 
 Prediction Error = -4.001  Date_of_death = Aug2004 
 Prediction Error = -0.984  Date_of_death = Jul2004 
 Prediction Error = 2.017  Date_of_death = Jun2004 
 Prediction Error = -3.004  Date_of_death = May2004 
 Prediction Error = 1.7636  Date_of_death = Apr2004 
 Prediction Error = 0.0163  Date_of_death = Mar2004 
 Prediction Error = 1.0101  Date_of_death = Feb2004 
 Prediction Error = -1.007  Date_of_death = Jan2004 
 Prediction Error = -0.985  Date_of_death = Dec2003 
 Prediction Error = -1.998  Date_of_death = Nov2003 
 Prediction Error = 1.3485  Date_of_death = Oct2003 
 Prediction Error = 1.3481  Date_of_death = Sep2003 
 Prediction Error = -0.002  Date_of_death = Aug2003 
 Prediction Error = -1.329  Date_of_death = Jul2003 
 Prediction Error = -2.652  Date_of_death = Jun2003 
 Prediction Error = 1.3332  Date_of_death = May2003 
 Prediction Error = -1.669  Date_of_death = Apr2003 
 Prediction Error = 0.0133  Date_of_death = Mar2003 
 Prediction Error = 1.3488  Date_of_death = Feb2003 
 Prediction Error = 4.0116  Date_of_death = Jan2003 
 Prediction Error = -2.665  Date_of_death = Dec2002 
 Prediction Error = -1.501  Date_of_death = Nov2002 
 Prediction Error = -4.001  Date_of_death = Oct2002 
 Prediction Error = -4  Date_of_death = Sep2002 
 Prediction Error = -0.006  Date_of_death = Aug2002 
 Prediction Error = -2.005  Date_of_death = Jul2002 
 Prediction Error = -4.008  Date_of_death = Jun2002 
 Prediction Error = 2.005  Date_of_death = May2002 
 Prediction Error = 1.99  Date_of_death = Apr2002 
 Prediction Error = .00013  Date_of_death = Mar2002 
 Prediction Error = 2.0029  Date_of_death = Feb2002 
 Prediction Error = 0.0021  Date_of_death = Jan2002 
 Prediction Error = 1.9994  Date_of_death = Dec2001 
 Prediction Error = 3.0024  Date_of_death = Nov2001 
 Prediction Error = 0.0027  Date_of_death = Oct2001 
 Prediction Error = 0.0029  Date_of_death = Sep2001 
 Prediction Error = -0.001  Date_of_death = Aug2001 
 Prediction Error = -3.999  Date_of_death = Jul2001 
 Prediction Error = -0.004  Date_of_death = Jun2001 
 Prediction Error = -3.998  Date_of_death = May2001 
 Prediction Error = 4.0004  Date_of_death = Apr2001 
 Prediction Error = -0.004  Date_of_death = Mar2001 
 Prediction Error = -4.002  Date_of_death = Feb2001 
 Prediction Error = 0.002  Date_of_death = Jan2001 
 Prediction Error = 4  Date_of_death = Aug2019 
 2*STD = 3.7573 
 -2*STD = -3.757  Date_of_death = Jul2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Jul2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Jun2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Jun2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = May2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = May2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Apr2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Apr2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Mar2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Mar2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Feb2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Feb2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Jan2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Jan2019 
 2*STD = 3.7574 
 -2*STD = -3.757  Date_of_death = Dec2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Dec2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Nov2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Nov2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Oct2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Oct2018 
 2*STD = 3.7603 
 -2*STD = -3.76  Date_of_death = Sep2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Sep2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Aug2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Aug2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jul2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jul2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jun2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jun2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = May2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = May2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Apr2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Apr2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Mar2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Mar2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Feb2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Feb2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jan2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Jan2018 
 2*STD = 3.7604 
 -2*STD = -3.76  Date_of_death = Dec2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Dec2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Nov2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Nov2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Oct2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Oct2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Sep2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Sep2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Aug2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Aug2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jul2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jul2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jun2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Jun2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = May2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = May2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Apr2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Apr2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Mar2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Mar2017 
 2*STD = 3.7639 
 -2*STD = -3.764  Date_of_death = Feb2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Feb2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Jan2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Jan2017 
 2*STD = 3.764 
 -2*STD = -3.764  Date_of_death = Dec2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Dec2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Nov2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Nov2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Oct2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Oct2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Sep2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Sep2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Aug2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Aug2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Jul2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Jul2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Jun2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = Jun2016 
 2*STD = 3.768 
 -2*STD = -3.768  Date_of_death = May2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = May2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Apr2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Apr2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Mar2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Mar2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Feb2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Feb2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Jan2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Jan2016 
 2*STD = 3.7681 
 -2*STD = -3.768  Date_of_death = Dec2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Dec2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Nov2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Nov2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Oct2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Oct2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Sep2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Sep2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Aug2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Aug2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Jul2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Jul2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Jun2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Jun2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = May2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = May2015 
 2*STD = 3.7729 
 -2*STD = -3.773  Date_of_death = Apr2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Apr2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Mar2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Mar2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Feb2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Feb2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Jan2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Jan2015 
 2*STD = 3.773 
 -2*STD = -3.773  Date_of_death = Dec2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Dec2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Nov2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Nov2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Oct2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Oct2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Sep2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Sep2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Aug2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Aug2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Jul2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Jul2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Jun2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = Jun2014 
 2*STD = 3.7787 
 -2*STD = -3.779  Date_of_death = May2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = May2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Apr2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Apr2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Mar2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Mar2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Feb2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Feb2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Jan2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Jan2014 
 2*STD = 3.7788 
 -2*STD = -3.779  Date_of_death = Dec2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Dec2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Nov2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Nov2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Oct2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Oct2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Sep2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Sep2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Aug2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Aug2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Jul2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Jul2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Jun2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Jun2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = May2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = May2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Apr2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Apr2013 
 2*STD = 3.7857 
 -2*STD = -3.786  Date_of_death = Mar2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Mar2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Feb2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Feb2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Jan2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Jan2013 
 2*STD = 3.7858 
 -2*STD = -3.786  Date_of_death = Dec2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Dec2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Nov2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Nov2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Oct2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Oct2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Sep2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Sep2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Aug2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Aug2012 
 2*STD = 3.7941 
 -2*STD = -3.794  Date_of_death = Jul2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Jul2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Jun2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Jun2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = May2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = May2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Apr2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Apr2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Mar2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Mar2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Feb2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Feb2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Jan2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Jan2012 
 2*STD = 3.7942 
 -2*STD = -3.794  Date_of_death = Dec2011 
 2*STD = 3.8044 
 -2*STD = -3.804  Date_of_death = Dec2011 
 2*STD = 3.8044 
 -2*STD = -3.804  Date_of_death = Nov2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Nov2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Oct2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Oct2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Sep2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Sep2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Aug2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Aug2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Jul2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Jul2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Jun2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Jun2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = May2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = May2011 
 2*STD = 3.8045 
 -2*STD = -3.804  Date_of_death = Apr2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Apr2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Mar2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Mar2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Feb2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Feb2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Jan2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Jan2011 
 2*STD = 3.8045 
 -2*STD = -3.805  Date_of_death = Dec2010 
 2*STD = 3.8172 
 -2*STD = -3.817  Date_of_death = Dec2010 
 2*STD = 3.8172 
 -2*STD = -3.817  Date_of_death = Nov2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Nov2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Oct2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Oct2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Sep2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Sep2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Aug2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Aug2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jul2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jul2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jun2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jun2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = May2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = May2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Apr2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Apr2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Mar2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Mar2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Feb2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Feb2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jan2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Jan2010 
 2*STD = 3.8173 
 -2*STD = -3.817  Date_of_death = Dec2009 
 2*STD = 3.8333 
 -2*STD = -3.833  Date_of_death = Dec2009 
 2*STD = 3.8333 
 -2*STD = -3.833  Date_of_death = Nov2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Nov2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Oct2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Oct2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Sep2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Sep2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Aug2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Aug2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jul2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jul2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jun2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jun2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = May2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = May2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Apr2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Apr2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Mar2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Mar2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Feb2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Feb2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jan2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Jan2009 
 2*STD = 3.8334 
 -2*STD = -3.833  Date_of_death = Dec2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Dec2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Nov2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Nov2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Oct2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Oct2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Sep2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Sep2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Aug2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Aug2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jul2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jul2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jun2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jun2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = May2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = May2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Apr2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Apr2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Mar2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Mar2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Feb2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Feb2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jan2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Jan2008 
 2*STD = 3.854 
 -2*STD = -3.854  Date_of_death = Dec2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Dec2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Nov2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Nov2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Oct2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Oct2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Sep2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Sep2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Aug2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Aug2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Jul2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Jul2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Jun2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Jun2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = May2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = May2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Apr2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Apr2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Mar2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Mar2007 
 2*STD = 3.8811 
 -2*STD = -3.881  Date_of_death = Feb2007 
 2*STD = 3.8812 
 -2*STD = -3.881  Date_of_death = Feb2007 
 2*STD = 3.8812 
 -2*STD = -3.881  Date_of_death = Jan2007 
 2*STD = 3.8812 
 -2*STD = -3.881  Date_of_death = Jan2007 
 2*STD = 3.8812 
 -2*STD = -3.881  Date_of_death = Dec2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Dec2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Nov2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Nov2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Oct2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Oct2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Sep2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Sep2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Aug2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Aug2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jul2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jul2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jun2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jun2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = May2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = May2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Apr2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Apr2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Mar2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Mar2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Feb2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Feb2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jan2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Jan2006 
 2*STD = 3.9179 
 -2*STD = -3.918  Date_of_death = Dec2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Dec2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Nov2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Nov2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Oct2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Oct2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Sep2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Sep2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Aug2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Aug2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jul2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jul2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jun2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jun2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = May2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = May2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Apr2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Apr2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Mar2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Mar2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Feb2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Feb2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jan2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Jan2005 
 2*STD = 3.9699 
 -2*STD = -3.97  Date_of_death = Dec2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Dec2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Nov2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Nov2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Oct2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Oct2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Sep2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Sep2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Aug2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Aug2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jul2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jul2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jun2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jun2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = May2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = May2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Apr2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Apr2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Mar2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Mar2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Feb2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Feb2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jan2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Jan2004 
 2*STD = 4.048 
 -2*STD = -4.048  Date_of_death = Dec2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Dec2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Nov2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Nov2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Oct2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Oct2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Sep2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Sep2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Aug2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Aug2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Jul2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Jul2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Jun2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Jun2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = May2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = May2003 
 2*STD = 4.1768 
 -2*STD = -4.177  Date_of_death = Apr2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Apr2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Mar2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Mar2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Feb2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Feb2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Jan2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Jan2003 
 2*STD = 4.1769 
 -2*STD = -4.177  Date_of_death = Dec2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Dec2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Nov2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Nov2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Oct2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Oct2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Sep2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Sep2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Aug2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Aug2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jul2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jul2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jun2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jun2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = May2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = May2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Apr2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Apr2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Mar2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Mar2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Feb2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Feb2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jan2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Jan2002 
 2*STD = 4.426 
 -2*STD = -4.426  Date_of_death = Dec2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Dec2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Nov2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Nov2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Oct2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Oct2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Sep2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Sep2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Aug2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Aug2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Jul2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Jul2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Jun2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Jun2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = May2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = May2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Apr2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Apr2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Mar2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Mar2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Feb2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Feb2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Date_of_death = Jan2001 
 2*STD = 5.1059 
 -2*STD = -5.106  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 SEP2019 3.300403 1.87867 -0.381722 6.982528
238 OCT2019 2.841926 1.87869 -0.840246 6.524098
239 NOV2019 3.019040 1.87872 -0.663187 6.701267
240 DEC2019 2.538099 1.87875 -1.144188 6.220386
241 JAN2020 2.453930 1.87756 -1.226013 6.133872
242 FEB2020 2.342031 1.87759 -1.337970 6.022032
243 MAR2020 3.402193 1.87762 -0.277873 7.082258
244 APR2020 3.256222 1.87765 -0.423904 6.936348
245 MAY2020 3.631803 1.87768 -0.048383 7.311988
246 JUN2020 3.336824 1.87771 -0.343419 7.017068
247 JUL2020 3.033733 1.87773 -0.646558 6.714023
248 AUG2020 2.968003 1.87775 -0.712324 6.648329

Forecasts Only Plot

 Date_of_death = Aug2020 
 Forecast = 2.9680  Date_of_death = Jul2020 
 Forecast = 3.0337  Date_of_death = Jul2020 
 Forecast = 3.0337  Date_of_death = Jun2020 
 Forecast = 3.3368  Date_of_death = Jun2020 
 Forecast = 3.3368  Date_of_death = May2020 
 Forecast = 3.6318  Date_of_death = May2020 
 Forecast = 3.6318  Date_of_death = Apr2020 
 Forecast = 3.2562  Date_of_death = Apr2020 
 Forecast = 3.2562  Date_of_death = Mar2020 
 Forecast = 3.4022  Date_of_death = Mar2020 
 Forecast = 3.4022  Date_of_death = Feb2020 
 Forecast = 2.3420  Date_of_death = Feb2020 
 Forecast = 2.3420  Date_of_death = Jan2020 
 Forecast = 2.4539  Date_of_death = Jan2020 
 Forecast = 2.4539  Date_of_death = Dec2019 
 Forecast = 2.5381  Date_of_death = Dec2019 
 Forecast = 2.5381  Date_of_death = Nov2019 
 Forecast = 3.0190  Date_of_death = Nov2019 
 Forecast = 3.0190  Date_of_death = Oct2019 
 Forecast = 2.8419  Date_of_death = Oct2019 
 Forecast = 2.8419  Date_of_death = Sep2019 
 Forecast = 3.3004  Date_of_death = Aug2020 
 Upper 95% = 6.6483 
 Lower 95% = -0.7123  Date_of_death = Jul2020 
 Upper 95% = 6.7140 
 Lower 95% = -0.6466  Date_of_death = Jul2020 
 Upper 95% = 6.7140 
 Lower 95% = -0.6466  Date_of_death = Jun2020 
 Upper 95% = 7.0171 
 Lower 95% = -0.3434  Date_of_death = Jun2020 
 Upper 95% = 7.0171 
 Lower 95% = -0.3434  Date_of_death = May2020 
 Upper 95% = 7.3120 
 Lower 95% = -0.0484  Date_of_death = May2020 
 Upper 95% = 7.3120 
 Lower 95% = -0.0484  Date_of_death = Apr2020 
 Upper 95% = 6.9363 
 Lower 95% = -0.4239  Date_of_death = Apr2020 
 Upper 95% = 6.9363 
 Lower 95% = -0.4239  Date_of_death = Mar2020 
 Upper 95% = 7.0823 
 Lower 95% = -0.2779  Date_of_death = Mar2020 
 Upper 95% = 7.0823 
 Lower 95% = -0.2779  Date_of_death = Feb2020 
 Upper 95% = 6.0220 
 Lower 95% = -1.3380  Date_of_death = Feb2020 
 Upper 95% = 6.0220 
 Lower 95% = -1.3380  Date_of_death = Jan2020 
 Upper 95% = 6.1339 
 Lower 95% = -1.2260  Date_of_death = Jan2020 
 Upper 95% = 6.1339 
 Lower 95% = -1.2260  Date_of_death = Dec2019 
 Upper 95% = 6.2204 
 Lower 95% = -1.1442  Date_of_death = Dec2019 
 Upper 95% = 6.2204 
 Lower 95% = -1.1442  Date_of_death = Nov2019 
 Upper 95% = 6.7013 
 Lower 95% = -0.6632  Date_of_death = Nov2019 
 Upper 95% = 6.7013 
 Lower 95% = -0.6632  Date_of_death = Oct2019 
 Upper 95% = 6.5241 
 Lower 95% = -0.8402  Date_of_death = Oct2019 
 Upper 95% = 6.5241 
 Lower 95% = -0.8402  Date_of_death = Sep2019 
 Upper 95% = 6.9825 
 Lower 95% = -0.3817
Forecast Only Plot

Forecasts Plot

 X = 21762  Date_of_death = Aug2020 
 Forecast = 2.9680  Date_of_death = Jul2020 
 Forecast = 3.0337  Date_of_death = Jul2020 
 Forecast = 3.0337  Date_of_death = Jun2020 
 Forecast = 3.3368  Date_of_death = Jun2020 
 Forecast = 3.3368  Date_of_death = May2020 
 Forecast = 3.6318  Date_of_death = May2020 
 Forecast = 3.6318  Date_of_death = Apr2020 
 Forecast = 3.2562  Date_of_death = Apr2020 
 Forecast = 3.2562  Date_of_death = Mar2020 
 Forecast = 3.4022  Date_of_death = Mar2020 
 Forecast = 3.4022  Date_of_death = Feb2020 
 Forecast = 2.3420  Date_of_death = Feb2020 
 Forecast = 2.3420  Date_of_death = Jan2020 
 Forecast = 2.4539  Date_of_death = Jan2020 
 Forecast = 2.4539  Date_of_death = Dec2019 
 Forecast = 2.5381  Date_of_death = Dec2019 
 Forecast = 2.5381  Date_of_death = Nov2019 
 Forecast = 3.0190  Date_of_death = Nov2019 
 Forecast = 3.0190  Date_of_death = Oct2019 
 Forecast = 2.8419  Date_of_death = Oct2019 
 Forecast = 2.8419  Date_of_death = Sep2019 
 Forecast = 3.3004  Date_of_death = Sep2019 
 Forecast = 3.3004  Date_of_death = Aug2019 
 Forecast = 3.0514  Date_of_death = Aug2019 
 Forecast = 3.0514  Date_of_death = Jul2019 
 Forecast = 3.2034  Date_of_death = Jul2019 
 Forecast = 3.2034  Date_of_death = Jun2019 
 Forecast = 3.4465  Date_of_death = Jun2019 
 Forecast = 3.4465  Date_of_death = May2019 
 Forecast = 3.5262  Date_of_death = May2019 
 Forecast = 3.5262  Date_of_death = Apr2019 
 Forecast = 3.4028  Date_of_death = Apr2019 
 Forecast = 3.4028  Date_of_death = Mar2019 
 Forecast = 3.6243  Date_of_death = Mar2019 
 Forecast = 3.6243  Date_of_death = Feb2019 
 Forecast = 2.4740  Date_of_death = Feb2019 
 Forecast = 2.4740  Date_of_death = Jan2019 
 Forecast = 2.5321  Date_of_death = Jan2019 
 Forecast = 2.5321  Date_of_death = Dec2018 
 Forecast = 2.6395  Date_of_death = Dec2018 
 Forecast = 2.6395  Date_of_death = Nov2018 
 Forecast = 3.1665  Date_of_death = Nov2018 
 Forecast = 3.1665  Date_of_death = Oct2018 
 Forecast = 2.7112  Date_of_death = Oct2018 
 Forecast = 2.7112  Date_of_death = Sep2018 
 Forecast = 3.2214  Date_of_death = Sep2018 
 Forecast = 3.2214  Date_of_death = Aug2018 
 Forecast = 2.9139  Date_of_death = Aug2018 
 Forecast = 2.9139  Date_of_death = Jul2018 
 Forecast = 3.3293  Date_of_death = Jul2018 
 Forecast = 3.3293  Date_of_death = Jun2018 
 Forecast = 3.6771  Date_of_death = Jun2018 
 Forecast = 3.6771  Date_of_death = May2018 
 Forecast = 3.3844  Date_of_death = May2018 
 Forecast = 3.3844  Date_of_death = Apr2018 
 Forecast = 3.6158  Date_of_death = Apr2018 
 Forecast = 3.6158  Date_of_death = Mar2018 
 Forecast = 3.7362  Date_of_death = Mar2018 
 Forecast = 3.7362  Date_of_death = Feb2018 
 Forecast = 2.5937  Date_of_death = Feb2018 
 Forecast = 2.5937  Date_of_death = Jan2018 
 Forecast = 2.3123  Date_of_death = Jan2018 
 Forecast = 2.3123  Date_of_death = Dec2017 
 Forecast = 2.8069  Date_of_death = Dec2017 
 Forecast = 2.8069  Date_of_death = Nov2017 
 Forecast = 3.0192  Date_of_death = Nov2017 
 Forecast = 3.0192  Date_of_death = Oct2017 
 Forecast = 2.9197  Date_of_death = Oct2017 
 Forecast = 2.9197  Date_of_death = Sep2017 
 Forecast = 3.4603  Date_of_death = Sep2017 
 Forecast = 3.4603  Date_of_death = Aug2017 
 Forecast = 2.7439  Date_of_death = Aug2017 
 Forecast = 2.7439  Date_of_death = Jul2017 
 Forecast = 3.4812  Date_of_death = Jul2017 
 Forecast = 3.4812  Date_of_death = Jun2017 
 Forecast = 3.5940  Date_of_death = Jun2017 
 Forecast = 3.5940  Date_of_death = May2017 
 Forecast = 3.2556  Date_of_death = May2017 
 Forecast = 3.2556  Date_of_death = Apr2017 
 Forecast = 3.4958  Date_of_death = Apr2017 
 Forecast = 3.4958  Date_of_death = Mar2017 
 Forecast = 3.7871  Date_of_death = Mar2017 
 Forecast = 3.7871  Date_of_death = Feb2017 
 Forecast = 2.3817  Date_of_death = Feb2017 
 Forecast = 2.3817  Date_of_death = Jan2017 
 Forecast = 2.4195  Date_of_death = Jan2017 
 Forecast = 2.4195  Date_of_death = Dec2016 
 Forecast = 2.9612  Date_of_death = Dec2016 
 Forecast = 2.9612  Date_of_death = Nov2016 
 Forecast = 3.0712  Date_of_death = Nov2016 
 Forecast = 3.0712  Date_of_death = Oct2016 
 Forecast = 3.0531  Date_of_death = Oct2016 
 Forecast = 3.0531  Date_of_death = Sep2016 
 Forecast = 3.6849  Date_of_death = Sep2016 
 Forecast = 3.6849  Date_of_death = Aug2016 
 Forecast = 2.8822  Date_of_death = Aug2016 
 Forecast = 2.8822  Date_of_death = Jul2016 
 Forecast = 3.5475  Date_of_death = Jul2016 
 Forecast = 3.5475  Date_of_death = Jun2016 
 Forecast = 3.5171  Date_of_death = Jun2016 
 Forecast = 3.5171  Date_of_death = May2016 
 Forecast = 3.5382  Date_of_death = May2016 
 Forecast = 3.5382  Date_of_death = Apr2016 
 Forecast = 3.7578  Date_of_death = Apr2016 
 Forecast = 3.7578  Date_of_death = Mar2016 
 Forecast = 3.7535  Date_of_death = Mar2016 
 Forecast = 3.7535  Date_of_death = Feb2016 
 Forecast = 2.2222  Date_of_death = Feb2016 
 Forecast = 2.2222  Date_of_death = Jan2016 
 Forecast = 2.2505  Date_of_death = Jan2016 
 Forecast = 2.2505  Date_of_death = Dec2015 
 Forecast = 3.0079  Date_of_death = Dec2015 
 Forecast = 3.0079  Date_of_death = Nov2015 
 Forecast = 3.1769  Date_of_death = Nov2015 
 Forecast = 3.1769  Date_of_death = Oct2015 
 Forecast = 3.0361  Date_of_death = Oct2015 
 Forecast = 3.0361  Date_of_death = Sep2015 
 Forecast = 3.5419  Date_of_death = Sep2015 
 Forecast = 3.5419  Date_of_death = Aug2015 
 Forecast = 3.0549  Date_of_death = Aug2015 
 Forecast = 3.0549  Date_of_death = Jul2015 
 Forecast = 3.7787  Date_of_death = Jul2015 
 Forecast = 3.7787  Date_of_death = Jun2015 
 Forecast = 3.3349  Date_of_death = Jun2015 
 Forecast = 3.3349  Date_of_death = May2015 
 Forecast = 3.3761  Date_of_death = May2015 
 Forecast = 3.3761  Date_of_death = Apr2015 
 Forecast = 4.0184  Date_of_death = Apr2015 
 Forecast = 4.0184  Date_of_death = Mar2015 
 Forecast = 3.6283  Date_of_death = Mar2015 
 Forecast = 3.6283  Date_of_death = Feb2015 
 Forecast = 2.3835  Date_of_death = Feb2015 
 Forecast = 2.3835  Date_of_death = Jan2015 
 Forecast = 2.3812  Date_of_death = Jan2015 
 Forecast = 2.3812  Date_of_death = Dec2014 
 Forecast = 3.0147  Date_of_death = Dec2014 
 Forecast = 3.0147  Date_of_death = Nov2014 
 Forecast = 3.1213  Date_of_death = Nov2014 
 Forecast = 3.1213  Date_of_death = Oct2014 
 Forecast = 2.8877  Date_of_death = Oct2014 
 Forecast = 2.8877  Date_of_death = Sep2014 
 Forecast = 3.4142  Date_of_death = Sep2014 
 Forecast = 3.4142  Date_of_death = Aug2014 
 Forecast = 2.8469  Date_of_death = Aug2014 
 Forecast = 2.8469  Date_of_death = Jul2014 
 Forecast = 3.6675  Date_of_death = Jul2014 
 Forecast = 3.6675  Date_of_death = Jun2014 
 Forecast = 3.1730  Date_of_death = Jun2014 
 Forecast = 3.1730  Date_of_death = May2014 
 Forecast = 3.1726  Date_of_death = May2014 
 Forecast = 3.1726  Date_of_death = Apr2014 
 Forecast = 4.2917  Date_of_death = Apr2014 
 Forecast = 4.2917  Date_of_death = Mar2014 
 Forecast = 3.4151  Date_of_death = Mar2014 
 Forecast = 3.4151  Date_of_death = Feb2014 
 Forecast = 2.0758  Date_of_death = Feb2014 
 Forecast = 2.0758  Date_of_death = Jan2014 
 Forecast = 2.3741  Date_of_death = Jan2014 
 Forecast = 2.3741  Date_of_death = Dec2013 
 Forecast = 3.1581  Date_of_death = Dec2013 
 Forecast = 3.1581  Date_of_death = Nov2013 
 Forecast = 3.1847  Date_of_death = Nov2013 
 Forecast = 3.1847  Date_of_death = Oct2013 
 Forecast = 3.0507  Date_of_death = Oct2013 
 Forecast = 3.0507  Date_of_death = Sep2013 
 Forecast = 3.5463  Date_of_death = Sep2013 
 Forecast = 3.5463  Date_of_death = Aug2013 
 Forecast = 3.0397  Date_of_death = Aug2013 
 Forecast = 3.0397  Date_of_death = Jul2013 
 Forecast = 3.7584  Date_of_death = Jul2013 
 Forecast = 3.7584  Date_of_death = Jun2013 
 Forecast = 3.0331  Date_of_death = Jun2013 
 Forecast = 3.0331  Date_of_death = May2013 
 Forecast = 3.0058  Date_of_death = May2013 
 Forecast = 3.0058  Date_of_death = Apr2013 
 Forecast = 4.2629  Date_of_death = Apr2013 
 Forecast = 4.2629  Date_of_death = Mar2013 
 Forecast = 3.3037  Date_of_death = Mar2013 
 Forecast = 3.3037  Date_of_death = Feb2013 
 Forecast = 2.0140  Date_of_death = Feb2013 
 Forecast = 2.0140  Date_of_death = Jan2013 
 Forecast = 2.5171  Date_of_death = Jan2013 
 Forecast = 2.5171  Date_of_death = Dec2012 
 Forecast = 3.1601  Date_of_death = Dec2012 
 Forecast = 3.1601  Date_of_death = Nov2012 
 Forecast = 3.4018  Date_of_death = Nov2012 
 Forecast = 3.4018  Date_of_death = Oct2012 
 Forecast = 3.1324  Date_of_death = Oct2012 
 Forecast = 3.1324  Date_of_death = Sep2012 
 Forecast = 3.3613  Date_of_death = Sep2012 
 Forecast = 3.3613  Date_of_death = Aug2012 
 Forecast = 2.8179  Date_of_death = Aug2012 
 Forecast = 2.8179  Date_of_death = Jul2012 
 Forecast = 3.6312  Date_of_death = Jul2012 
 Forecast = 3.6312  Date_of_death = Jun2012 
 Forecast = 3.2553  Date_of_death = Jun2012 
 Forecast = 3.2553  Date_of_death = May2012 
 Forecast = 3.2038  Date_of_death = May2012 
 Forecast = 3.2038  Date_of_death = Apr2012 
 Forecast = 4.1898  Date_of_death = Apr2012 
 Forecast = 4.1898  Date_of_death = Mar2012 
 Forecast = 3.4739  Date_of_death = Mar2012 
 Forecast = 3.4739  Date_of_death = Feb2012 
 Forecast = 2.0149  Date_of_death = Feb2012 
 Forecast = 2.0149  Date_of_death = Jan2012 
 Forecast = 2.5890  Date_of_death = Jan2012 
 Forecast = 2.5890  Date_of_death = Dec2011 
 Forecast = 3.1711  Date_of_death = Dec2011 
 Forecast = 3.1711  Date_of_death = Nov2011 
 Forecast = 3.6714  Date_of_death = Nov2011 
 Forecast = 3.6714  Date_of_death = Oct2011 
 Forecast = 3.2706  Date_of_death = Oct2011 
 Forecast = 3.2706  Date_of_death = Sep2011 
 Forecast = 3.6694  Date_of_death = Sep2011 
 Forecast = 3.6694  Date_of_death = Aug2011 
 Forecast = 2.6150  Date_of_death = Aug2011 
 Forecast = 2.6150  Date_of_death = Jul2011 
 Forecast = 3.5233  Date_of_death = Jul2011 
 Forecast = 3.5233  Date_of_death = Jun2011 
 Forecast = 3.4219  Date_of_death = Jun2011 
 Forecast = 3.4219  Date_of_death = May2011 
 Forecast = 3.4782  Date_of_death = May2011 
 Forecast = 3.4782  Date_of_death = Apr2011 
 Forecast = 4.5621  Date_of_death = Apr2011 
 Forecast = 4.5621  Date_of_death = Mar2011 
 Forecast = 3.7788  Date_of_death = Mar2011 
 Forecast = 3.7788  Date_of_death = Feb2011 
 Forecast = 1.7135  Date_of_death = Feb2011 
 Forecast = 1.7135  Date_of_death = Jan2011 
 Forecast = 2.3869  Date_of_death = Jan2011 
 Forecast = 2.3869  Date_of_death = Dec2010 
 Forecast = 3.4656  Date_of_death = Dec2010 
 Forecast = 3.4656  Date_of_death = Nov2010 
 Forecast = 3.5138  Date_of_death = Nov2010 
 Forecast = 3.5138  Date_of_death = Oct2010 
 Forecast = 3.5529  Date_of_death = Oct2010 
 Forecast = 3.5529  Date_of_death = Sep2010 
 Forecast = 3.8920  Date_of_death = Sep2010 
 Forecast = 3.8920  Date_of_death = Aug2010 
 Forecast = 2.3628  Date_of_death = Aug2010 
 Forecast = 2.3628  Date_of_death = Jul2010 
 Forecast = 3.3852  Date_of_death = Jul2010 
 Forecast = 3.3852  Date_of_death = Jun2010 
 Forecast = 3.2415  Date_of_death = Jun2010 
 Forecast = 3.2415  Date_of_death = May2010 
 Forecast = 3.7608  Date_of_death = May2010 
 Forecast = 3.7608  Date_of_death = Apr2010 
 Forecast = 4.4600  Date_of_death = Apr2010 
 Forecast = 4.4600  Date_of_death = Mar2010 
 Forecast = 3.6422  Date_of_death = Mar2010 
 Forecast = 3.6422  Date_of_death = Feb2010 
 Forecast = 1.8217  Date_of_death = Feb2010 
 Forecast = 1.8217  Date_of_death = Jan2010 
 Forecast = 2.0496  Date_of_death = Jan2010 
 Forecast = 2.0496  Date_of_death = Dec2009 
 Forecast = 3.2796  Date_of_death = Dec2009 
 Forecast = 3.2796  Date_of_death = Nov2009 
 Forecast = 3.2922  Date_of_death = Nov2009 
 Forecast = 3.2922  Date_of_death = Oct2009 
 Forecast = 3.3231  Date_of_death = Oct2009 
 Forecast = 3.3231  Date_of_death = Sep2009 
 Forecast = 3.7274  Date_of_death = Sep2009 
 Forecast = 3.7274  Date_of_death = Aug2009 
 Forecast = 1.9940  Date_of_death = Aug2009 
 Forecast = 1.9940  Date_of_death = Jul2009 
 Forecast = 3.1574  Date_of_death = Jul2009 
 Forecast = 3.1574  Date_of_death = Jun2009 
 Forecast = 2.9509  Date_of_death = Jun2009 
 Forecast = 2.9509  Date_of_death = May2009 
 Forecast = 3.5446  Date_of_death = May2009 
 Forecast = 3.5446  Date_of_death = Apr2009 
 Forecast = 4.8561  Date_of_death = Apr2009 
 Forecast = 4.8561  Date_of_death = Mar2009 
 Forecast = 3.3767  Date_of_death = Mar2009 
 Forecast = 3.3767  Date_of_death = Feb2009 
 Forecast = 1.8967  Date_of_death = Feb2009 
 Forecast = 1.8967  Date_of_death = Jan2009 
 Forecast = 2.0135  Date_of_death = Jan2009 
 Forecast = 2.0135  Date_of_death = Dec2008 
 Forecast = 3.0050  Date_of_death = Dec2008 
 Forecast = 3.0050  Date_of_death = Nov2008 
 Forecast = 3.0312  Date_of_death = Nov2008 
 Forecast = 3.0312  Date_of_death = Oct2008 
 Forecast = 3.0632  Date_of_death = Oct2008 
 Forecast = 3.0632  Date_of_death = Sep2008 
 Forecast = 3.9646  Date_of_death = Sep2008 
 Forecast = 3.9646  Date_of_death = Aug2008 
 Forecast = 2.1138  Date_of_death = Aug2008 
 Forecast = 2.1138  Date_of_death = Jul2008 
 Forecast = 3.4615  Date_of_death = Jul2008 
 Forecast = 3.4615  Date_of_death = Jun2008 
 Forecast = 2.6591  Date_of_death = Jun2008 
 Forecast = 2.6591  Date_of_death = May2008 
 Forecast = 3.6102  Date_of_death = May2008 
 Forecast = 3.6102  Date_of_death = Apr2008 
 Forecast = 4.8325  Date_of_death = Apr2008 
 Forecast = 4.8325  Date_of_death = Mar2008 
 Forecast = 3.7050  Date_of_death = Mar2008 
 Forecast = 3.7050  Date_of_death = Feb2008 
 Forecast = 2.0089  Date_of_death = Feb2008 
 Forecast = 2.0089  Date_of_death = Jan2008 
 Forecast = 2.0275  Date_of_death = Jan2008 
 Forecast = 2.0275  Date_of_death = Dec2007 
 Forecast = 2.7133  Date_of_death = Dec2007 
 Forecast = 2.7133  Date_of_death = Nov2007 
 Forecast = 3.3923  Date_of_death = Nov2007 
 Forecast = 3.3923  Date_of_death = Oct2007 
 Forecast = 3.3930  Date_of_death = Oct2007 
 Forecast = 3.3930  Date_of_death = Sep2007 
 Forecast = 3.8077  Date_of_death = Sep2007 
 Forecast = 3.8077  Date_of_death = Aug2007 
 Forecast = 1.6650  Date_of_death = Aug2007 
 Forecast = 1.6650  Date_of_death = Jul2007 
 Forecast = 3.2514  Date_of_death = Jul2007 
 Forecast = 3.2514  Date_of_death = Jun2007 
 Forecast = 2.9322  Date_of_death = Jun2007 
 Forecast = 2.9322  Date_of_death = May2007 
 Forecast = 3.3879  Date_of_death = May2007 
 Forecast = 3.3879  Date_of_death = Apr2007 
 Forecast = 4.7990  Date_of_death = Apr2007 
 Forecast = 4.7990  Date_of_death = Mar2007 
 Forecast = 3.4851  Date_of_death = Mar2007 
 Forecast = 3.4851  Date_of_death = Feb2007 
 Forecast = 1.5242  Date_of_death = Feb2007 
 Forecast = 1.5242  Date_of_death = Jan2007 
 Forecast = 2.1954  Date_of_death = Jan2007 
 Forecast = 2.1954  Date_of_death = Dec2006 
 Forecast = 2.9865  Date_of_death = Dec2006 
 Forecast = 2.9865  Date_of_death = Nov2006 
 Forecast = 3.7815  Date_of_death = Nov2006 
 Forecast = 3.7815  Date_of_death = Oct2006 
 Forecast = 3.6190  Date_of_death = Oct2006 
 Forecast = 3.6190  Date_of_death = Sep2006 
 Forecast = 3.5932  Date_of_death = Sep2006 
 Forecast = 3.5932  Date_of_death = Aug2006 
 Forecast = 1.7990  Date_of_death = Aug2006 
 Forecast = 1.7990  Date_of_death = Jul2006 
 Forecast = 3.6479  Date_of_death = Jul2006 
 Forecast = 3.6479  Date_of_death = Jun2006 
 Forecast = 3.1038  Date_of_death = Jun2006 
 Forecast = 3.1038  Date_of_death = May2006 
 Forecast = 3.6496  Date_of_death = May2006 
 Forecast = 3.6496  Date_of_death = Apr2006 
 Forecast = 4.9657  Date_of_death = Apr2006 
 Forecast = 4.9657  Date_of_death = Mar2006 
 Forecast = 3.6191  Date_of_death = Mar2006 
 Forecast = 3.6191  Date_of_death = Feb2006 
 Forecast = 1.6527  Date_of_death = Feb2006 
 Forecast = 1.6527  Date_of_death = Jan2006 
 Forecast = 2.4393  Date_of_death = Jan2006 
 Forecast = 2.4393  Date_of_death = Dec2005 
 Forecast = 2.5750  Date_of_death = Dec2005 
 Forecast = 2.5750  Date_of_death = Nov2005 
 Forecast = 4.1847  Date_of_death = Nov2005 
 Forecast = 4.1847  Date_of_death = Oct2005 
 Forecast = 4.1994  Date_of_death = Oct2005 
 Forecast = 4.1994  Date_of_death = Sep2005 
 Forecast = 4.1646  Date_of_death = Sep2005 
 Forecast = 4.1646  Date_of_death = Aug2005 
 Forecast = 1.7720  Date_of_death = Aug2005 
 Forecast = 1.7720  Date_of_death = Jul2005 
 Forecast = 3.3900  Date_of_death = Jul2005 
 Forecast = 3.3900  Date_of_death = Jun2005 
 Forecast = 3.3635  Date_of_death = Jun2005 
 Forecast = 3.3635  Date_of_death = May2005 
 Forecast = 3.5906  Date_of_death = May2005 
 Forecast = 3.5906  Date_of_death = Apr2005 
 Forecast = 4.9792  Date_of_death = Apr2005 
 Forecast = 4.9792  Date_of_death = Mar2005 
 Forecast = 4.1932  Date_of_death = Mar2005 
 Forecast = 4.1932  Date_of_death = Feb2005 
 Forecast = 1.7976  Date_of_death = Feb2005 
 Forecast = 1.7976  Date_of_death = Jan2005 
 Forecast = 2.7790  Date_of_death = Jan2005 
 Forecast = 2.7790  Date_of_death = Dec2004 
 Forecast = 2.4820  Date_of_death = Dec2004 
 Forecast = 2.4820  Date_of_death = Nov2004 
 Forecast = 3.9863  Date_of_death = Nov2004 
 Forecast = 3.9863  Date_of_death = Oct2004 
 Forecast = 3.9959  Date_of_death = Oct2004 
 Forecast = 3.9959  Date_of_death = Sep2004 
 Forecast = 5.0009  Date_of_death = Sep2004 
 Forecast = 5.0009  Date_of_death = Aug2004 
 Forecast = 1.9839  Date_of_death = Aug2004 
 Forecast = 1.9839  Date_of_death = Jul2004 
 Forecast = 2.9830  Date_of_death = Jul2004 
 Forecast = 2.9830  Date_of_death = Jun2004 
 Forecast = 4.0039  Date_of_death = Jun2004 
 Forecast = 4.0039  Date_of_death = May2004 
 Forecast = 3.2364  Date_of_death = May2004 
 Forecast = 3.2364  Date_of_death = Apr2004 
 Forecast = 4.9837  Date_of_death = Apr2004 
 Forecast = 4.9837  Date_of_death = Mar2004 
 Forecast = 3.9899  Date_of_death = Mar2004 
 Forecast = 3.9899  Date_of_death = Feb2004 
 Forecast = 2.0068  Date_of_death = Feb2004 
 Forecast = 2.0068  Date_of_death = Jan2004 
 Forecast = 2.9849  Date_of_death = Jan2004 
 Forecast = 2.9849  Date_of_death = Dec2003 
 Forecast = 2.9976  Date_of_death = Dec2003 
 Forecast = 2.9976  Date_of_death = Nov2003 
 Forecast = 3.6515  Date_of_death = Nov2003 
 Forecast = 3.6515  Date_of_death = Oct2003 
 Forecast = 3.6519  Date_of_death = Oct2003 
 Forecast = 3.6519  Date_of_death = Sep2003 
 Forecast = 5.0019  Date_of_death = Sep2003 
 Forecast = 5.0019  Date_of_death = Aug2003 
 Forecast = 2.3286  Date_of_death = Aug2003 
 Forecast = 2.3286  Date_of_death = Jul2003 
 Forecast = 3.6515  Date_of_death = Jul2003 
 Forecast = 3.6515  Date_of_death = Jun2003 
 Forecast = 3.6668  Date_of_death = Jun2003 
 Forecast = 3.6668  Date_of_death = May2003 
 Forecast = 3.6687  Date_of_death = May2003 
 Forecast = 3.6687  Date_of_death = Apr2003 
 Forecast = 4.9867  Date_of_death = Apr2003 
 Forecast = 4.9867  Date_of_death = Mar2003 
 Forecast = 3.6512  Date_of_death = Mar2003 
 Forecast = 3.6512  Date_of_death = Feb2003 
 Forecast = 0.9884  Date_of_death = Feb2003 
 Forecast = 0.9884  Date_of_death = Jan2003 
 Forecast = 3.6654  Date_of_death = Jan2003 
 Forecast = 3.6654  Date_of_death = Dec2002 
 Forecast = 3.5009  Date_of_death = Dec2002 
 Forecast = 3.5009  Date_of_death = Nov2002 
 Forecast = 5.0015  Date_of_death = Nov2002 
 Forecast = 5.0015  Date_of_death = Oct2002 
 Forecast = 5.0001  Date_of_death = Oct2002 
 Forecast = 5.0001  Date_of_death = Sep2002 
 Forecast = 5.0060  Date_of_death = Sep2002 
 Forecast = 5.0060  Date_of_death = Aug2002 
 Forecast = 3.0054  Date_of_death = Aug2002 
 Forecast = 3.0054  Date_of_death = Jul2002 
 Forecast = 5.0078  Date_of_death = Jul2002 
 Forecast = 5.0078  Date_of_death = Jun2002 
 Forecast = 2.9950  Date_of_death = Jun2002 
 Forecast = 2.9950  Date_of_death = May2002 
 Forecast = 3.0100  Date_of_death = May2002 
 Forecast = 3.0100  Date_of_death = Apr2002 
 Forecast = 4.9999  Date_of_death = Apr2002 
 Forecast = 4.9999  Date_of_death = Mar2002 
 Forecast = 2.9971  Date_of_death = Mar2002 
 Forecast = 2.9971  Date_of_death = Feb2002 
 Forecast = 0.9979  Date_of_death = Feb2002 
 Forecast = 0.9979  Date_of_death = Jan2002 
 Forecast = 3.0006  Date_of_death = Jan2002 
 Forecast = 3.0006  Date_of_death = Dec2001 
 Forecast = 1.9976  Date_of_death = Dec2001 
 Forecast = 1.9976  Date_of_death = Nov2001 
 Forecast = 4.9973  Date_of_death = Nov2001 
 Forecast = 4.9973  Date_of_death = Oct2001 
 Forecast = 4.9971  Date_of_death = Oct2001 
 Forecast = 4.9971  Date_of_death = Sep2001 
 Forecast = 5.0013  Date_of_death = Sep2001 
 Forecast = 5.0013  Date_of_death = Aug2001 
 Forecast = 4.9993  Date_of_death = Aug2001 
 Forecast = 4.9993  Date_of_death = Jul2001 
 Forecast = 5.0038  Date_of_death = Jul2001 
 Forecast = 5.0038  Date_of_death = Jun2001 
 Forecast = 4.9976  Date_of_death = Jun2001 
 Forecast = 4.9976  Date_of_death = May2001 
 Forecast = 0.9996  Date_of_death = May2001 
 Forecast = 0.9996  Date_of_death = Apr2001 
 Forecast = 5.0040  Date_of_death = Apr2001 
 Forecast = 5.0040  Date_of_death = Mar2001 
 Forecast = 5.0022  Date_of_death = Mar2001 
 Forecast = 5.0022  Date_of_death = Feb2001 
 Forecast = 0.9980  Date_of_death = Feb2001 
 Forecast = 0.9980  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Aug2019 
 incidents = 2.0000  Date_of_death = Jul2019 
 incidents = 1.0000  Date_of_death = Jun2019 
 incidents = 2.0000  Date_of_death = May2019 
 incidents = 5.0000  Date_of_death = Apr2019 
 incidents = 2.0000  Date_of_death = Mar2019 
 incidents = 1.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 2.0000  Date_of_death = Dec2018 
 incidents = 2.0000  Date_of_death = Nov2018 
 incidents = 2.0000  Date_of_death = Oct2018 
 incidents = 5.0000  Date_of_death = Sep2018 
 incidents = 5.0000  Date_of_death = Aug2018 
 incidents = 5.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 5.0000  Date_of_death = Apr2018 
 incidents = 1.0000  Date_of_death = Mar2018 
 incidents = 2.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 5.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 5.0000  Date_of_death = Oct2017 
 incidents = 1.0000  Date_of_death = Sep2017 
 incidents = 1.0000  Date_of_death = Aug2017 
 incidents = 5.0000  Date_of_death = Jul2017 
 incidents = 2.0000  Date_of_death = Jun2017 
 incidents = 5.0000  Date_of_death = May2017 
 incidents = 5.0000  Date_of_death = Apr2017 
 incidents = 5.0000  Date_of_death = Mar2017 
 incidents = 3.0000  Date_of_death = Feb2017 
 incidents = 5.0000  Date_of_death = Jan2017 
 incidents = 1.0000  Date_of_death = Dec2016 
 incidents = 1.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 1.0000  Date_of_death = Sep2016 
 incidents = 1.0000  Date_of_death = Aug2016 
 incidents = 1.0000  Date_of_death = Jul2016 
 incidents = 3.0000  Date_of_death = Jun2016 
 incidents = 5.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 1.0000  Date_of_death = Mar2016 
 incidents = 5.0000  Date_of_death = Feb2016 
 incidents = 5.0000  Date_of_death = Jan2016 
 incidents = 5.0000  Date_of_death = Dec2015 
 incidents = 3.0000  Date_of_death = Nov2015 
 incidents = 2.0000  Date_of_death = Oct2015 
 incidents = 3.0000  Date_of_death = Sep2015 
 incidents = 5.0000  Date_of_death = Aug2015 
 incidents = 1.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 5.0000  Date_of_death = May2015 
 incidents = 5.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 5.0000  Date_of_death = Feb2015 
 incidents = 1.0000  Date_of_death = Jan2015 
 incidents = 1.0000  Date_of_death = Dec2014 
 incidents = 3.0000  Date_of_death = Nov2014 
 incidents = 4.0000  Date_of_death = Oct2014 
 incidents = 5.0000  Date_of_death = Sep2014 
 incidents = 5.0000  Date_of_death = Aug2014 
 incidents = 5.0000  Date_of_death = Jul2014 
 incidents = 5.0000  Date_of_death = Jun2014 
 incidents = 5.0000  Date_of_death = May2014 
 incidents = 5.0000  Date_of_death = Apr2014 
 incidents = 1.0000  Date_of_death = Mar2014 
 incidents = 5.0000  Date_of_death = Feb2014 
 incidents = 5.0000  Date_of_death = Jan2014 
 incidents = 2.0000  Date_of_death = Dec2013 
 incidents = 1.0000  Date_of_death = Nov2013 
 incidents = 2.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 2.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 3.0000  Date_of_death = Jun2013 
 incidents = 5.0000  Date_of_death = May2013 
 incidents = 5.0000  Date_of_death = Apr2013 
 incidents = 5.0000  Date_of_death = Mar2013 
 incidents = 5.0000  Date_of_death = Feb2013 
 incidents = 3.0000  Date_of_death = Jan2013 
 incidents = 1.0000  Date_of_death = Dec2012 
 incidents = 3.0000  Date_of_death = Nov2012 
 incidents = 1.0000  Date_of_death = Oct2012 
 incidents = 2.0000  Date_of_death = Sep2012 
 incidents = 5.0000  Date_of_death = Aug2012 
 incidents = 5.0000  Date_of_death = Jul2012 
 incidents = 5.0000  Date_of_death = Jun2012 
 incidents = 1.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 5.0000  Date_of_death = Mar2012 
 incidents = 2.0000  Date_of_death = Feb2012 
 incidents = 2.0000  Date_of_death = Jan2012 
 incidents = 2.0000  Date_of_death = Dec2011 
 incidents = 3.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 2.0000  Date_of_death = Sep2011 
 incidents = 1.0000  Date_of_death = Aug2011 
 incidents = 5.0000  Date_of_death = Jul2011 
 incidents = 5.0000  Date_of_death = Jun2011 
 incidents = 2.0000  Date_of_death = May2011 
 incidents = 1.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 1.0000  Date_of_death = Feb2011 
 incidents = 5.0000  Date_of_death = Jan2011 
 incidents = 5.0000  Date_of_death = Dec2010 
 incidents = 1.0000  Date_of_death = Nov2010 
 incidents = 5.0000  Date_of_death = Oct2010 
 incidents = 1.0000  Date_of_death = Sep2010 
 incidents = 2.0000  Date_of_death = Aug2010 
 incidents = 5.0000  Date_of_death = Jul2010 
 incidents = 5.0000  Date_of_death = Jun2010 
 incidents = 5.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 5.0000  Date_of_death = Mar2010 
 incidents = 5.0000  Date_of_death = Feb2010 
 incidents = 1.0000  Date_of_death = Jan2010 
 incidents = 5.0000  Date_of_death = Dec2009 
 incidents = 5.0000  Date_of_death = Nov2009 
 incidents = 5.0000  Date_of_death = Oct2009 
 incidents = 5.0000  Date_of_death = Sep2009 
 incidents = 5.0000  Date_of_death = Aug2009 
 incidents = 5.0000  Date_of_death = Jul2009 
 incidents = 5.0000  Date_of_death = Jun2009 
 incidents = 5.0000  Date_of_death = May2009 
 incidents = 5.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 5.0000  Date_of_death = Feb2009 
 incidents = 1.0000  Date_of_death = Jan2009 
 incidents = 2.0000  Date_of_death = Dec2008 
 incidents = 5.0000  Date_of_death = Nov2008 
 incidents = 5.0000  Date_of_death = Oct2008 
 incidents = 5.0000  Date_of_death = Sep2008 
 incidents = 2.0000  Date_of_death = Aug2008 
 incidents = 1.0000  Date_of_death = Jul2008 
 incidents = 1.0000  Date_of_death = Jun2008 
 incidents = 5.0000  Date_of_death = May2008 
 incidents = 3.0000  Date_of_death = Apr2008 
 incidents = 5.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 5.0000  Date_of_death = Nov2007 
 incidents = 1.0000  Date_of_death = Oct2007 
 incidents = 1.0000  Date_of_death = Sep2007 
 incidents = 5.0000  Date_of_death = Aug2007 
 incidents = 5.0000  Date_of_death = Jul2007 
 incidents = 5.0000  Date_of_death = Jun2007 
 incidents = 1.0000  Date_of_death = May2007 
 incidents = 5.0000  Date_of_death = Apr2007 
 incidents = 5.0000  Date_of_death = Mar2007 
 incidents = 5.0000  Date_of_death = Feb2007 
 incidents = 5.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 1.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 2.0000  Date_of_death = Sep2006 
 incidents = 5.0000  Date_of_death = Aug2006 
 incidents = 1.0000  Date_of_death = Jul2006 
 incidents = 1.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 2.0000  Date_of_death = Apr2006 
 incidents = 4.0000  Date_of_death = Mar2006 
 incidents = 3.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 5.0000  Date_of_death = Nov2005 
 incidents = 2.0000  Date_of_death = Oct2005 
 incidents = 1.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 2.0000  Date_of_death = Jul2005 
 incidents = 5.0000  Date_of_death = Jun2005 
 incidents = 2.0000  Date_of_death = May2005 
 incidents = 4.0000  Date_of_death = Apr2005 
 incidents = 5.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 1.0000  Date_of_death = Jan2005 
 incidents = 1.0000  Date_of_death = Dec2004 
 incidents = 3.0000  Date_of_death = Nov2004 
 incidents = 5.0000  Date_of_death = Oct2004 
 incidents = 5.0000  Date_of_death = Sep2004 
 incidents = 1.0000  Date_of_death = Aug2004 
 incidents = 1.0000  Date_of_death = Jul2004 
 incidents = 5.0000  Date_of_death = Jun2004 
 incidents = 1.0000  Date_of_death = May2004 
 incidents = 5.0000  Date_of_death = Apr2004 
 incidents = 5.0000  Date_of_death = Mar2004 
 incidents = 5.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 5.0000  Date_of_death = Oct2003 
 incidents = 5.0000  Date_of_death = Sep2003 
 incidents = 5.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 1.0000  Date_of_death = Jun2003 
 incidents = 5.0000  Date_of_death = May2003 
 incidents = 2.0000  Date_of_death = Apr2003 
 incidents = 5.0000  Date_of_death = Mar2003 
 incidents = 5.0000  Date_of_death = Feb2003 
 incidents = 5.0000  Date_of_death = Jan2003 
 incidents = 1.0000  Date_of_death = Dec2002 
 incidents = 2.0000  Date_of_death = Nov2002 
 incidents = 1.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 5.0000  Date_of_death = Aug2002 
 incidents = 1.0000  Date_of_death = Jul2002 
 incidents = 1.0000  Date_of_death = Jun2002 
 incidents = 5.0000  Date_of_death = May2002 
 incidents = 5.0000  Date_of_death = Apr2002 
 incidents = 5.0000  Date_of_death = Mar2002 
 incidents = 5.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 5.0000  Date_of_death = Dec2001 
 incidents = 5.0000  Date_of_death = Nov2001 
 incidents = 5.0000  Date_of_death = Oct2001 
 incidents = 5.0000  Date_of_death = Sep2001 
 incidents = 5.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 5.0000  Date_of_death = Jun2001 
 incidents = 1.0000  Date_of_death = May2001 
 incidents = 5.0000  Date_of_death = Apr2001 
 incidents = 5.0000  Date_of_death = Mar2001 
 incidents = 1.0000  Date_of_death = Feb2001 
 incidents = 1.0000  Date_of_death = Jan2001 
 incidents = 5.0000  Date_of_death = Aug2020 
 Upper 95% = 6.6483 
 Lower 95% = -0.7123  Date_of_death = Jul2020 
 Upper 95% = 6.7140 
 Lower 95% = -0.6466  Date_of_death = Jul2020 
 Upper 95% = 6.7140 
 Lower 95% = -0.6466  Date_of_death = Jun2020 
 Upper 95% = 7.0171 
 Lower 95% = -0.3434  Date_of_death = Jun2020 
 Upper 95% = 7.0171 
 Lower 95% = -0.3434  Date_of_death = May2020 
 Upper 95% = 7.3120 
 Lower 95% = -0.0484  Date_of_death = May2020 
 Upper 95% = 7.3120 
 Lower 95% = -0.0484  Date_of_death = Apr2020 
 Upper 95% = 6.9363 
 Lower 95% = -0.4239  Date_of_death = Apr2020 
 Upper 95% = 6.9363 
 Lower 95% = -0.4239  Date_of_death = Mar2020 
 Upper 95% = 7.0823 
 Lower 95% = -0.2779  Date_of_death = Mar2020 
 Upper 95% = 7.0823 
 Lower 95% = -0.2779  Date_of_death = Feb2020 
 Upper 95% = 6.0220 
 Lower 95% = -1.3380  Date_of_death = Feb2020 
 Upper 95% = 6.0220 
 Lower 95% = -1.3380  Date_of_death = Jan2020 
 Upper 95% = 6.1339 
 Lower 95% = -1.2260  Date_of_death = Jan2020 
 Upper 95% = 6.1339 
 Lower 95% = -1.2260  Date_of_death = Dec2019 
 Upper 95% = 6.2204 
 Lower 95% = -1.1442  Date_of_death = Dec2019 
 Upper 95% = 6.2204 
 Lower 95% = -1.1442  Date_of_death = Nov2019 
 Upper 95% = 6.7013 
 Lower 95% = -0.6632  Date_of_death = Nov2019 
 Upper 95% = 6.7013 
 Lower 95% = -0.6632  Date_of_death = Oct2019 
 Upper 95% = 6.5241 
 Lower 95% = -0.8402  Date_of_death = Oct2019 
 Upper 95% = 6.5241 
 Lower 95% = -0.8402  Date_of_death = Sep2019 
 Upper 95% = 6.9825 
 Lower 95% = -0.3817
Forecast Plot

County=San Bernardino

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 4.00000 2.43277 1.33822

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 OCT2019 238 0 1.00000 4.00000 2.43277 1.33822

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.42664
Level Error Variance 0.53499
Season Error Variance 1.65660

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -403.6
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 238
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 226
AIC (smaller is better) 813.25
BIC (smaller is better) 823.51
AICC (smaller is better) 813.35
HQIC (smaller is better) 817.39
CAIC (smaller is better) 826.51
Likelihood Optimization Algorithm Converged in 5 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.65590 0.17204 9.63 <.0001
Level Error Variance 0.00328 0.0034844 0.94 0.3470
Season Error Variance 0.00412 0.0099024 0.42 0.6773

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 226
Mean Squared Error 2.05104
Root Mean Squared Error 1.43214
Mean Absolute Percentage Error 73.80365
Maximum Percent Error 74.38476
R-Square -0.16651
Adjusted R-Square -0.17698
Random Walk R-Square 0.35441
Amemiya's Adjusted R-Square -0.19790

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 6.39 0.0115
Level 1 56.80 <.0001
Season 11 10.81 0.4591

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.025889644 0.2688005

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 0.00412

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 4.5821 
 Percent = 0.0308  Prediction Error = 4.5349 
 Percent = 0.0377  Prediction Error = 4.5349 
 Percent = 0.0377  Prediction Error = 4.4876 
 Percent = 0.0459  Prediction Error = 4.4876 
 Percent = 0.0459  Prediction Error = 4.4404 
 Percent = 0.0557  Prediction Error = 4.4404 
 Percent = 0.0557  Prediction Error = 4.3931 
 Percent = 0.0673  Prediction Error = 4.3931 
 Percent = 0.0673  Prediction Error = 4.3458 
 Percent = 0.0809  Prediction Error = 4.3458 
 Percent = 0.0809  Prediction Error = 4.2986 
 Percent = 0.0968  Prediction Error = 4.2986 
 Percent = 0.0968  Prediction Error = 4.2513 
 Percent = 0.1153  Prediction Error = 4.2513 
 Percent = 0.1153  Prediction Error = 4.2041 
 Percent = 0.1367  Prediction Error = 4.2041 
 Percent = 0.1367  Prediction Error = 4.1568 
 Percent = 0.1615  Prediction Error = 4.1568 
 Percent = 0.1615  Prediction Error = 4.1096 
 Percent = 0.1899  Prediction Error = 4.1096 
 Percent = 0.1899  Prediction Error = 4.0623 
 Percent = 0.2223  Prediction Error = 4.0623 
 Percent = 0.2223  Prediction Error = 4.015 
 Percent = 0.2592  Prediction Error = 4.015 
 Percent = 0.2592  Prediction Error = 3.9678 
 Percent = 0.301  Prediction Error = 3.9678 
 Percent = 0.301  Prediction Error = 3.9205 
 Percent = 0.348  Prediction Error = 3.9205 
 Percent = 0.348  Prediction Error = 3.8733 
 Percent = 0.4008  Prediction Error = 3.8733 
 Percent = 0.4008  Prediction Error = 3.826 
 Percent = 0.4597  Prediction Error = 3.826 
 Percent = 0.4597  Prediction Error = 3.7788 
 Percent = 0.5252  Prediction Error = 3.7788 
 Percent = 0.5252  Prediction Error = 3.7315 
 Percent = 0.5977  Prediction Error = 3.7315 
 Percent = 0.5977  Prediction Error = 3.6842 
 Percent = 0.6777  Prediction Error = 3.6842 
 Percent = 0.6777  Prediction Error = 3.637 
 Percent = 0.7654  Prediction Error = 3.637 
 Percent = 0.7654  Prediction Error = 3.5897 
 Percent = 0.8614  Prediction Error = 3.5897 
 Percent = 0.8614  Prediction Error = 3.5425 
 Percent = 0.9659  Prediction Error = 3.5425 
 Percent = 0.9659  Prediction Error = 3.4952 
 Percent = 1.0792  Prediction Error = 3.4952 
 Percent = 1.0792  Prediction Error = 3.448 
 Percent = 1.2017  Prediction Error = 3.448 
 Percent = 1.2017  Prediction Error = 3.4007 
 Percent = 1.3335  Prediction Error = 3.4007 
 Percent = 1.3335  Prediction Error = 3.3534 
 Percent = 1.4749  Prediction Error = 3.3534 
 Percent = 1.4749  Prediction Error = 3.3062 
 Percent = 1.6259  Prediction Error = 3.3062 
 Percent = 1.6259  Prediction Error = 3.2589 
 Percent = 1.7867  Prediction Error = 3.2589 
 Percent = 1.7867  Prediction Error = 3.2117 
 Percent = 1.9574  Prediction Error = 3.2117 
 Percent = 1.9574  Prediction Error = 3.1644 
 Percent = 2.1378  Prediction Error = 3.1644 
 Percent = 2.1378  Prediction Error = 3.1172 
 Percent = 2.3279  Prediction Error = 3.1172 
 Percent = 2.3279  Prediction Error = 3.0699 
 Percent = 2.5276  Prediction Error = 3.0699 
 Percent = 2.5276  Prediction Error = 3.0226 
 Percent = 2.7366  Prediction Error = 3.0226 
 Percent = 2.7366  Prediction Error = 2.9754 
 Percent = 2.9547  Prediction Error = 2.9754 
 Percent = 2.9547  Prediction Error = 2.9281 
 Percent = 3.1816  Prediction Error = 2.9281 
 Percent = 3.1816  Prediction Error = 2.8809 
 Percent = 3.4169  Prediction Error = 2.8809 
 Percent = 3.4169  Prediction Error = 2.7864 
 Percent = 3.9107  Prediction Error = 2.7864 
 Percent = 3.9107  Prediction Error = 2.6918 
 Percent = 4.4316  Prediction Error = 2.6918 
 Percent = 4.4316  Prediction Error = 2.3611 
 Percent = 6.3772  Prediction Error = 2.3611 
 Percent = 6.3772  Prediction Error = 2.2193 
 Percent = 7.2081  Prediction Error = 2.2193 
 Percent = 7.2081  Prediction Error = 2.1248 
 Percent = 7.7367  Prediction Error = 2.1248 
 Percent = 7.7367  Prediction Error = 2.0775 
 Percent = 7.9894  Prediction Error = 2.0775 
 Percent = 7.9894  Prediction Error = 2.0303 
 Percent = 8.2327  Prediction Error = 2.0303 
 Percent = 8.2327  Prediction Error = 1.983 
 Percent = 8.4652  Prediction Error = 1.983 
 Percent = 8.4652  Prediction Error = 1.9357 
 Percent = 8.6859  Prediction Error = 1.9357 
 Percent = 8.6859  Prediction Error = 1.8885 
 Percent = 8.8934  Prediction Error = 1.8885 
 Percent = 8.8934  Prediction Error = 1.8412 
 Percent = 9.087  Prediction Error = 1.8412 
 Percent = 9.087  Prediction Error = 1.794 
 Percent = 9.2656  Prediction Error = 1.794 
 Percent = 9.2656  Prediction Error = 1.7467 
 Percent = 9.4286  Prediction Error = 1.7467 
 Percent = 9.4286  Prediction Error = 1.6995 
 Percent = 9.5753  Prediction Error = 1.6995 
 Percent = 9.5753  Prediction Error = 1.6522 
 Percent = 9.7055  Prediction Error = 1.6522 
 Percent = 9.7055  Prediction Error = 1.6049 
 Percent = 9.819  Prediction Error = 1.6049 
 Percent = 9.819  Prediction Error = 1.5577 
 Percent = 9.9159  Prediction Error = 1.5577 
 Percent = 9.9159  Prediction Error = 1.5104 
 Percent = 9.9966  Prediction Error = 1.5104 
 Percent = 9.9966  Prediction Error = 1.4632 
 Percent = 10.061  Prediction Error = 1.4632 
 Percent = 10.061  Prediction Error = 1.4159 
 Percent = 10.111  Prediction Error = 1.4159 
 Percent = 10.111  Prediction Error = 1.3687 
 Percent = 10.147  Prediction Error = 1.3687 
 Percent = 10.147  Prediction Error = 1.3214 
 Percent = 10.171  Prediction Error = 1.3214 
 Percent = 10.171  Prediction Error = 1.2741 
 Percent = 10.183  Prediction Error = 1.2741 
 Percent = 10.183  Prediction Error = 1.2269 
 Percent = 10.186  Prediction Error = 1.2269 
 Percent = 10.186  Prediction Error = 1.1796 
 Percent = 10.182  Prediction Error = 1.1796 
 Percent = 10.182  Prediction Error = 1.1324 
 Percent = 10.171  Prediction Error = 1.1324 
 Percent = 10.171  Prediction Error = 1.0851 
 Percent = 10.157  Prediction Error = 1.0851 
 Percent = 10.157  Prediction Error = 1.0379 
 Percent = 10.142  Prediction Error = 1.0379 
 Percent = 10.142  Prediction Error = 0.9906 
 Percent = 10.127  Prediction Error = 0.9906 
 Percent = 10.127  Prediction Error = 0.9433 
 Percent = 10.115  Prediction Error = 0.9433 
 Percent = 10.115  Prediction Error = 0.8961 
 Percent = 10.108  Prediction Error = 0.8961 
 Percent = 10.108  Prediction Error = 0.8488 
 Percent = 10.108  Prediction Error = 0.8488 
 Percent = 10.108  Prediction Error = 0.8016 
 Percent = 10.116  Prediction Error = 0.8016 
 Percent = 10.116  Prediction Error = 0.7543 
 Percent = 10.135  Prediction Error = 0.7543 
 Percent = 10.135  Prediction Error = 0.7071 
 Percent = 10.165  Prediction Error = 0.7071 
 Percent = 10.165  Prediction Error = 0.6598 
 Percent = 10.209  Prediction Error = 0.6598 
 Percent = 10.209  Prediction Error = 0.6125 
 Percent = 10.266  Prediction Error = 0.6125 
 Percent = 10.266  Prediction Error = 0.5653 
 Percent = 10.338  Prediction Error = 0.5653 
 Percent = 10.338  Prediction Error = 0.518 
 Percent = 10.425  Prediction Error = 0.518 
 Percent = 10.425  Prediction Error = 0.4708 
 Percent = 10.527  Prediction Error = 0.4708 
 Percent = 10.527  Prediction Error = 0.4235 
 Percent = 10.644  Prediction Error = 0.4235 
 Percent = 10.644  Prediction Error = 0.3763 
 Percent = 10.776  Prediction Error = 0.3763 
 Percent = 10.776  Prediction Error = 0.329 
 Percent = 10.922  Prediction Error = 0.329 
 Percent = 10.922  Prediction Error = 0.2817 
 Percent = 11.081  Prediction Error = 0.2817 
 Percent = 11.081  Prediction Error = 0.2345 
 Percent = 11.252  Prediction Error = 0.2345 
 Percent = 11.252  Prediction Error = 0.1872 
 Percent = 11.434  Prediction Error = 0.1872 
 Percent = 11.434  Prediction Error = 0.14 
 Percent = 11.625  Prediction Error = 0.14 
 Percent = 11.625  Prediction Error = -0.144 
 Percent = 12.871  Prediction Error = -0.144 
 Percent = 12.871  Prediction Error = -0.238 
 Percent = 13.281  Prediction Error = -0.238 
 Percent = 13.281  Prediction Error = -0.285 
 Percent = 13.478  Prediction Error = -0.285 
 Percent = 13.478  Prediction Error = -0.333 
 Percent = 13.666  Prediction Error = -0.333 
 Percent = 13.666  Prediction Error = -0.38 
 Percent = 13.844  Prediction Error = -0.38 
 Percent = 13.844  Prediction Error = -0.427 
 Percent = 14.011  Prediction Error = -0.427 
 Percent = 14.011  Prediction Error = -0.474 
 Percent = 14.165  Prediction Error = -0.474 
 Percent = 14.165  Prediction Error = -0.522 
 Percent = 14.306  Prediction Error = -0.522 
 Percent = 14.306  Prediction Error = -0.569 
 Percent = 14.431  Prediction Error = -0.569 
 Percent = 14.431  Prediction Error = -0.616 
 Percent = 14.54  Prediction Error = -0.616 
 Percent = 14.54  Prediction Error = -0.663 
 Percent = 14.632  Prediction Error = -0.663 
 Percent = 14.632  Prediction Error = -0.711 
 Percent = 14.706  Prediction Error = -0.711 
 Percent = 14.706  Prediction Error = -0.758 
 Percent = 14.761  Prediction Error = -0.758 
 Percent = 14.761  Prediction Error = -0.805 
 Percent = 14.796  Prediction Error = -0.805 
 Percent = 14.796  Prediction Error = -0.852 
 Percent = 14.811  Prediction Error = -0.852 
 Percent = 14.811  Prediction Error = -0.9 
 Percent = 14.805  Prediction Error = -0.9 
 Percent = 14.805  Prediction Error = -0.947 
 Percent = 14.777  Prediction Error = -0.947 
 Percent = 14.777  Prediction Error = -0.994 
 Percent = 14.729  Prediction Error = -0.994 
 Percent = 14.729  Prediction Error = -1.041 
 Percent = 14.658  Prediction Error = -1.041 
 Percent = 14.658  Prediction Error = -1.089 
 Percent = 14.566  Prediction Error = -1.089 
 Percent = 14.566  Prediction Error = -1.136 
 Percent = 14.451  Prediction Error = -1.136 
 Percent = 14.451  Prediction Error = -1.183 
 Percent = 14.315  Prediction Error = -1.183 
 Percent = 14.315  Prediction Error = -1.23 
 Percent = 14.157  Prediction Error = -1.23 
 Percent = 14.157  Prediction Error = -1.278 
 Percent = 13.977  Prediction Error = -1.278 
 Percent = 13.977  Prediction Error = -1.325 
 Percent = 13.776  Prediction Error = -1.325 
 Percent = 13.776  Prediction Error = -1.372 
 Percent = 13.554  Prediction Error = -1.372 
 Percent = 13.554  Prediction Error = -1.42 
 Percent = 13.311  Prediction Error = -1.42 
 Percent = 13.311  Prediction Error = -1.467 
 Percent = 13.049  Prediction Error = -1.467 
 Percent = 13.049  Prediction Error = -1.514 
 Percent = 12.769  Prediction Error = -1.514 
 Percent = 12.769  Prediction Error = -1.561 
 Percent = 12.47  Prediction Error = -1.561 
 Percent = 12.47  Prediction Error = -1.609 
 Percent = 12.154  Prediction Error = -1.609 
 Percent = 12.154  Prediction Error = -1.656 
 Percent = 11.822  Prediction Error = -1.656 
 Percent = 11.822  Prediction Error = -1.703 
 Percent = 11.476  Prediction Error = -1.703 
 Percent = 11.476  Prediction Error = -1.75 
 Percent = 11.117  Prediction Error = -1.75 
 Percent = 11.117  Prediction Error = -2.223 
 Percent = 7.1455  Prediction Error = -2.223 
 Percent = 7.1455  Prediction Error = -2.317 
 Percent = 6.361  Prediction Error = -2.317 
 Percent = 6.361  Prediction Error = -2.412 
 Percent = 5.6109  Prediction Error = -2.412 
 Percent = 5.6109  Prediction Error = -2.459 
 Percent = 5.2521  Prediction Error = -2.459 
 Percent = 5.2521  Prediction Error = -2.506 
 Percent = 4.9056  Prediction Error = -2.506 
 Percent = 4.9056  Prediction Error = -2.554 
 Percent = 4.5722  Prediction Error = -2.554 
 Percent = 4.5722  Prediction Error = -2.601 
 Percent = 4.2527  Prediction Error = -2.601 
 Percent = 4.2527  Prediction Error = -2.648 
 Percent = 3.9476  Prediction Error = -2.648 
 Percent = 3.9476  Prediction Error = -2.695 
 Percent = 3.6574  Prediction Error = -2.695 
 Percent = 3.6574  Prediction Error = -2.743 
 Percent = 3.3822  Prediction Error = -2.743 
 Percent = 3.3822  Prediction Error = -2.79 
 Percent = 3.1221  Prediction Error = -2.79 
 Percent = 3.1221  Prediction Error = -2.837 
 Percent = 2.8771  Prediction Error = -2.837 
 Percent = 2.8771  Prediction Error = -2.884 
 Percent = 2.6469  Prediction Error = -2.884 
 Percent = 2.6469  Prediction Error = -2.932 
 Percent = 2.4311  Prediction Error = -2.932 
 Percent = 2.4311  Prediction Error = -2.979 
 Percent = 2.2295  Prediction Error = -2.979 
 Percent = 2.2295  Prediction Error = -3.026 
 Percent = 2.0415  Prediction Error = -3.026 
 Percent = 2.0415  Prediction Error = -3.073 
 Percent = 1.8665  Prediction Error = -3.073 
 Percent = 1.8665  Prediction Error = -3.121 
 Percent = 1.704  Prediction Error = -3.121 
 Percent = 1.704  Prediction Error = -3.168 
 Percent = 1.5532  Prediction Error = -3.168 
 Percent = 1.5532  Prediction Error = -3.215 
 Percent = 1.4137  Prediction Error = -3.215 
 Percent = 1.4137  Prediction Error = -3.263 
 Percent = 1.2846  Prediction Error = -3.263 
 Percent = 1.2846  Prediction Error = -3.31 
 Percent = 1.1654  Prediction Error = -3.31 
 Percent = 1.1654  Prediction Error = -3.357 
 Percent = 1.0555  Prediction Error = -3.357 
 Percent = 1.0555  Prediction Error = -3.404 
 Percent = 0.9543  Prediction Error = -3.404 
 Percent = 0.9543  Prediction Error = -3.452 
 Percent = 0.8611  Prediction Error = -3.452 
 Percent = 0.8611  Prediction Error = -3.499 
 Percent = 0.7754  Prediction Error = -3.499 
 Percent = 0.7754  Prediction Error = -3.546 
 Percent = 0.6968  Prediction Error = -3.546 
 Percent = 0.6968  Prediction Error = -3.593 
 Percent = 0.6247  Prediction Error = -3.593 
 Percent = 0.6247  Prediction Error = -3.641 
 Percent = 0.5587  Prediction Error = -3.641 
 Percent = 0.5587  Prediction Error = -3.688 
 Percent = 0.4984  Prediction Error = -3.688 
 Percent = 0.4984  Prediction Error = -3.735 
 Percent = 0.4435  Prediction Error = -3.735 
 Percent = 0.4435  Prediction Error = -3.782 
 Percent = 0.3934  Prediction Error = -3.782 
 Percent = 0.3934  Prediction Error = -3.83 
 Percent = 0.3479  Prediction Error = -3.83 
 Percent = 0.3479  Prediction Error = -3.877 
 Percent = 0.3067  Prediction Error = -3.877 
 Percent = 0.3067  Prediction Error = -3.924 
 Percent = 0.2695  Prediction Error = -3.924 
 Percent = 0.2695  Prediction Error = -3.971 
 Percent = 0.236  Prediction Error = -3.971 
 Percent = 0.236  Prediction Error = -4.019 
 Percent = 0.2059  Prediction Error = -4.019 
 Percent = 0.2059  Prediction Error = -4.066 
 Percent = 0.179  Prediction Error = -4.066 
 Percent = 0.179  Prediction Error = -4.113 
 Percent = 0.155  Prediction Error = -4.113 
 Percent = 0.155  Prediction Error = -4.16 
 Percent = 0.1337  Prediction Error = -4.16 
 Percent = 0.1337  Prediction Error = -4.208 
 Percent = 0.1149  Prediction Error = -4.208 
 Percent = 0.1149  Prediction Error = -4.255 
 Percent = 0.0982  Prediction Error = -4.255 
 Percent = 0.0982  Prediction Error = -4.302 
 Percent = 0.0837  Prediction Error = -4.302 
 Percent = 0.0837  Prediction Error = -4.349 
 Percent = 0.071  Prediction Error = -4.349 
 Percent = 0.071  Prediction Error = -4.397 
 Percent = 0.0599  Prediction Error = -4.397 
 Percent = 0.0599  Prediction Error = -4.444 
 Percent = 0.0504  Prediction Error = -4.444 
 Percent = 0.0504  Prediction Error = -4.491 
 Percent = 0.0421  Prediction Error = -4.491 
 Percent = 0.0421  Prediction Error = -4.538 
 Percent = 0.0351  Prediction Error = -4.538 
 Percent = 0.0351  Prediction Error = -4.586 
 Percent = 0.0291  Prediction Error = -4.586 
 Percent = 0.0291  Prediction Error = -4.633 
 Percent = 0.024  Prediction Error = -4.633 
 Percent = 0.024  Prediction Error = -4.68 
 Percent = 0.0197  Prediction Error = 4.2416 
 Percent = 0.1854  Prediction Error = 4.1982 
 Percent = 0.203  Prediction Error = 4.1982 
 Percent = 0.203  Prediction Error = 4.1547 
 Percent = 0.222  Prediction Error = 4.1547 
 Percent = 0.222  Prediction Error = 4.1113 
 Percent = 0.2426  Prediction Error = 4.1113 
 Percent = 0.2426  Prediction Error = 4.0678 
 Percent = 0.2648  Prediction Error = 4.0678 
 Percent = 0.2648  Prediction Error = 4.0244 
 Percent = 0.2888  Prediction Error = 4.0244 
 Percent = 0.2888  Prediction Error = 3.9809 
 Percent = 0.3147  Prediction Error = 3.9809 
 Percent = 0.3147  Prediction Error = 3.9374 
 Percent = 0.3426  Prediction Error = 3.9374 
 Percent = 0.3426  Prediction Error = 3.894 
 Percent = 0.3726  Prediction Error = 3.894 
 Percent = 0.3726  Prediction Error = 3.8505 
 Percent = 0.4049  Prediction Error = 3.8505 
 Percent = 0.4049  Prediction Error = 3.8071 
 Percent = 0.4396  Prediction Error = 3.8071 
 Percent = 0.4396  Prediction Error = 3.7636 
 Percent = 0.4768  Prediction Error = 3.7636 
 Percent = 0.4768  Prediction Error = 3.7202 
 Percent = 0.5167  Prediction Error = 3.7202 
 Percent = 0.5167  Prediction Error = 3.6767 
 Percent = 0.5594  Prediction Error = 3.6767 
 Percent = 0.5594  Prediction Error = 3.6333 
 Percent = 0.6051  Prediction Error = 3.6333 
 Percent = 0.6051  Prediction Error = 3.5898 
 Percent = 0.6539  Prediction Error = 3.5898 
 Percent = 0.6539  Prediction Error = 3.5463 
 Percent = 0.706  Prediction Error = 3.5463 
 Percent = 0.706  Prediction Error = 3.5029 
 Percent = 0.7616  Prediction Error = 3.5029 
 Percent = 0.7616  Prediction Error = 3.4594 
 Percent = 0.8208  Prediction Error = 3.4594 
 Percent = 0.8208  Prediction Error = 3.416 
 Percent = 0.8838  Prediction Error = 3.416 
 Percent = 0.8838  Prediction Error = 3.3725 
 Percent = 0.9507  Prediction Error = 3.3725 
 Percent = 0.9507  Prediction Error = 3.3291 
 Percent = 1.0218  Prediction Error = 3.3291 
 Percent = 1.0218  Prediction Error = 3.2856 
 Percent = 1.0971  Prediction Error = 3.2856 
 Percent = 1.0971  Prediction Error = 3.2421 
 Percent = 1.177  Prediction Error = 3.2421 
 Percent = 1.177  Prediction Error = 3.1987 
 Percent = 1.2615  Prediction Error = 3.1987 
 Percent = 1.2615  Prediction Error = 3.1552 
 Percent = 1.3508  Prediction Error = 3.1552 
 Percent = 1.3508  Prediction Error = 3.1118 
 Percent = 1.4451  Prediction Error = 3.1118 
 Percent = 1.4451  Prediction Error = 3.0683 
 Percent = 1.5446  Prediction Error = 3.0683 
 Percent = 1.5446  Prediction Error = 3.0249 
 Percent = 1.6494  Prediction Error = 3.0249 
 Percent = 1.6494  Prediction Error = 2.9814 
 Percent = 1.7597  Prediction Error = 2.9814 
 Percent = 1.7597  Prediction Error = 2.938 
 Percent = 1.8757  Prediction Error = 2.938 
 Percent = 1.8757  Prediction Error = 2.8945 
 Percent = 1.9974  Prediction Error = 2.8945 
 Percent = 1.9974  Prediction Error = 2.851 
 Percent = 2.1252  Prediction Error = 2.851 
 Percent = 2.1252  Prediction Error = 2.8076 
 Percent = 2.259  Prediction Error = 2.8076 
 Percent = 2.259  Prediction Error = 2.7641 
 Percent = 2.399  Prediction Error = 2.7641 
 Percent = 2.399  Prediction Error = 2.7207 
 Percent = 2.5454  Prediction Error = 2.7207 
 Percent = 2.5454  Prediction Error = 2.6772 
 Percent = 2.6982  Prediction Error = 2.6772 
 Percent = 2.6982  Prediction Error = 2.6338 
 Percent = 2.8576  Prediction Error = 2.6338 
 Percent = 2.8576  Prediction Error = 2.5903 
 Percent = 3.0236  Prediction Error = 2.5903 
 Percent = 3.0236  Prediction Error = 2.5469 
 Percent = 3.1964  Prediction Error = 2.5469 
 Percent = 3.1964  Prediction Error = 2.5034 
 Percent = 3.3759  Prediction Error = 2.5034 
 Percent = 3.3759  Prediction Error = 2.4599 
 Percent = 3.5622  Prediction Error = 2.4599 
 Percent = 3.5622  Prediction Error = 2.4165 
 Percent = 3.7553  Prediction Error = 2.4165 
 Percent = 3.7553  Prediction Error = 2.373 
 Percent = 3.9553  Prediction Error = 2.373 
 Percent = 3.9553  Prediction Error = 2.3296 
 Percent = 4.1621  Prediction Error = 2.3296 
 Percent = 4.1621  Prediction Error = 2.2861 
 Percent = 4.3757  Prediction Error = 2.2861 
 Percent = 4.3757  Prediction Error = 2.1992 
 Percent = 4.823  Prediction Error = 2.1992 
 Percent = 4.823  Prediction Error = 2.1123 
 Percent = 5.2966  Prediction Error = 2.1123 
 Percent = 5.2966  Prediction Error = 2.0254 
 Percent = 5.7954  Prediction Error = 2.0254 
 Percent = 5.7954  Prediction Error = 1.9385 
 Percent = 6.3178  Prediction Error = 1.9385 
 Percent = 6.3178  Prediction Error = 1.8516 
 Percent = 6.8621  Prediction Error = 1.8516 
 Percent = 6.8621  Prediction Error = 1.1997 
 Percent = 11.345  Prediction Error = 1.1997 
 Percent = 11.345  Prediction Error = 1.0694 
 Percent = 12.238  Prediction Error = 1.0694 
 Percent = 12.238  Prediction Error = 0.9824 
 Percent = 12.813  Prediction Error = 0.9824 
 Percent = 12.813  Prediction Error = 0.8955 
 Percent = 13.366  Prediction Error = 0.8955 
 Percent = 13.366  Prediction Error = 0.8086 
 Percent = 13.891  Prediction Error = 0.8086 
 Percent = 13.891  Prediction Error = 0.7652 
 Percent = 14.142  Prediction Error = 0.7652 
 Percent = 14.142  Prediction Error = 0.7217 
 Percent = 14.384  Prediction Error = 0.7217 
 Percent = 14.384  Prediction Error = 0.6783 
 Percent = 14.617  Prediction Error = 0.6783 
 Percent = 14.617  Prediction Error = 0.6348 
 Percent = 14.841  Prediction Error = 0.6348 
 Percent = 14.841  Prediction Error = 0.5913 
 Percent = 15.053  Prediction Error = 0.5913 
 Percent = 15.053  Prediction Error = 0.5479 
 Percent = 15.255  Prediction Error = 0.5479 
 Percent = 15.255  Prediction Error = 0.5044 
 Percent = 15.445  Prediction Error = 0.5044 
 Percent = 15.445  Prediction Error = 0.461 
 Percent = 15.624  Prediction Error = 0.461 
 Percent = 15.624  Prediction Error = 0.4175 
 Percent = 15.79  Prediction Error = 0.4175 
 Percent = 15.79  Prediction Error = 0.3741 
 Percent = 15.943  Prediction Error = 0.3741 
 Percent = 15.943  Prediction Error = 0.3306 
 Percent = 16.082  Prediction Error = 0.3306 
 Percent = 16.082  Prediction Error = 0.2872 
 Percent = 16.208  Prediction Error = 0.2872 
 Percent = 16.208  Prediction Error = 0.2437 
 Percent = 16.32  Prediction Error = 0.2437 
 Percent = 16.32  Prediction Error = 0.2002 
 Percent = 16.418  Prediction Error = 0.2002 
 Percent = 16.418  Prediction Error = 0.1568 
 Percent = 16.501  Prediction Error = 0.1568 
 Percent = 16.501  Prediction Error = 0.1133 
 Percent = 16.569  Prediction Error = 0.1133 
 Percent = 16.569  Prediction Error = 0.0699 
 Percent = 16.623  Prediction Error = 0.0699 
 Percent = 16.623  Prediction Error = 0.0264 
 Percent = 16.661  Prediction Error = 0.0264 
 Percent = 16.661  Prediction Error = -0.017 
 Percent = 16.684  Prediction Error = -0.017 
 Percent = 16.684  Prediction Error = -0.06 
 Percent = 16.692  Prediction Error = -0.06 
 Percent = 16.692  Prediction Error = -0.104 
 Percent = 16.684  Prediction Error = -0.104 
 Percent = 16.684  Prediction Error = -0.147 
 Percent = 16.661  Prediction Error = -0.147 
 Percent = 16.661  Prediction Error = -0.191 
 Percent = 16.623  Prediction Error = -0.191 
 Percent = 16.623  Prediction Error = -0.234 
 Percent = 16.569  Prediction Error = -0.234 
 Percent = 16.569  Prediction Error = -0.278 
 Percent = 16.501  Prediction Error = -0.278 
 Percent = 16.501  Prediction Error = -0.321 
 Percent = 16.418  Prediction Error = -0.321 
 Percent = 16.418  Prediction Error = -0.365 
 Percent = 16.32  Prediction Error = -0.365 
 Percent = 16.32  Prediction Error = -0.408 
 Percent = 16.208  Prediction Error = -0.408 
 Percent = 16.208  Prediction Error = -0.452 
 Percent = 16.082  Prediction Error = -0.452 
 Percent = 16.082  Prediction Error = -0.495 
 Percent = 15.943  Prediction Error = -0.495 
 Percent = 15.943  Prediction Error = -0.539 
 Percent = 15.79  Prediction Error = -0.539 
 Percent = 15.79  Prediction Error = -0.582 
 Percent = 15.624  Prediction Error = -0.582 
 Percent = 15.624  Prediction Error = -0.625 
 Percent = 15.445  Prediction Error = -0.625 
 Percent = 15.445  Prediction Error = -0.669 
 Percent = 15.255  Prediction Error = -0.669 
 Percent = 15.255  Prediction Error = -0.712 
 Percent = 15.053  Prediction Error = -0.712 
 Percent = 15.053  Prediction Error = -0.756 
 Percent = 14.841  Prediction Error = -0.756 
 Percent = 14.841  Prediction Error = -0.799 
 Percent = 14.617  Prediction Error = -0.799 
 Percent = 14.617  Prediction Error = -0.843 
 Percent = 14.384  Prediction Error = -0.843 
 Percent = 14.384  Prediction Error = -0.886 
 Percent = 14.142  Prediction Error = -0.886 
 Percent = 14.142  Prediction Error = -0.93 
 Percent = 13.891  Prediction Error = -0.93 
 Percent = 13.891  Prediction Error = -1.017 
 Percent = 13.366  Prediction Error = -1.017 
 Percent = 13.366  Prediction Error = -1.103 
 Percent = 12.813  Prediction Error = -1.103 
 Percent = 12.813  Prediction Error = -1.625 
 Percent = 9.2061  Prediction Error = -1.625 
 Percent = 9.2061  Prediction Error = -1.799 
 Percent = 8.0068  Prediction Error = -1.799 
 Percent = 8.0068  Prediction Error = -1.929 
 Percent = 7.1418  Prediction Error = -1.929 
 Percent = 7.1418  Prediction Error = -2.016 
 Percent = 6.5874  Prediction Error = -2.016 
 Percent = 6.5874  Prediction Error = -2.103 
 Percent = 6.0537  Prediction Error = -2.103 
 Percent = 6.0537  Prediction Error = -2.19 
 Percent = 5.5429  Prediction Error = -2.19 
 Percent = 5.5429  Prediction Error = -2.277 
 Percent = 5.0566  Prediction Error = -2.277 
 Percent = 5.0566  Prediction Error = -2.364 
 Percent = 4.596  Prediction Error = -2.364 
 Percent = 4.596  Prediction Error = -2.407 
 Percent = 4.3757  Prediction Error = -2.407 
 Percent = 4.3757  Prediction Error = -2.451 
 Percent = 4.1621  Prediction Error = -2.451 
 Percent = 4.1621  Prediction Error = -2.494 
 Percent = 3.9553  Prediction Error = -2.494 
 Percent = 3.9553  Prediction Error = -2.537 
 Percent = 3.7553  Prediction Error = -2.537 
 Percent = 3.7553  Prediction Error = -2.581 
 Percent = 3.5622  Prediction Error = -2.581 
 Percent = 3.5622  Prediction Error = -2.624 
 Percent = 3.3759  Prediction Error = -2.624 
 Percent = 3.3759  Prediction Error = -2.668 
 Percent = 3.1964  Prediction Error = -2.668 
 Percent = 3.1964  Prediction Error = -2.711 
 Percent = 3.0236  Prediction Error = -2.711 
 Percent = 3.0236  Prediction Error = -2.755 
 Percent = 2.8576  Prediction Error = -2.755 
 Percent = 2.8576  Prediction Error = -2.798 
 Percent = 2.6982  Prediction Error = -2.798 
 Percent = 2.6982  Prediction Error = -2.842 
 Percent = 2.5454  Prediction Error = -2.842 
 Percent = 2.5454  Prediction Error = -2.885 
 Percent = 2.399  Prediction Error = -2.885 
 Percent = 2.399  Prediction Error = -2.929 
 Percent = 2.259  Prediction Error = -2.929 
 Percent = 2.259  Prediction Error = -2.972 
 Percent = 2.1252  Prediction Error = -2.972 
 Percent = 2.1252  Prediction Error = -3.015 
 Percent = 1.9974  Prediction Error = -3.015 
 Percent = 1.9974  Prediction Error = -3.059 
 Percent = 1.8757  Prediction Error = -3.059 
 Percent = 1.8757  Prediction Error = -3.102 
 Percent = 1.7597  Prediction Error = -3.102 
 Percent = 1.7597  Prediction Error = -3.146 
 Percent = 1.6494  Prediction Error = -3.146 
 Percent = 1.6494  Prediction Error = -3.189 
 Percent = 1.5446  Prediction Error = -3.189 
 Percent = 1.5446  Prediction Error = -3.233 
 Percent = 1.4451  Prediction Error = -3.233 
 Percent = 1.4451  Prediction Error = -3.276 
 Percent = 1.3508  Prediction Error = -3.276 
 Percent = 1.3508  Prediction Error = -3.32 
 Percent = 1.2615  Prediction Error = -3.32 
 Percent = 1.2615  Prediction Error = -3.363 
 Percent = 1.177  Prediction Error = -3.363 
 Percent = 1.177  Prediction Error = -3.407 
 Percent = 1.0971  Prediction Error = -3.407 
 Percent = 1.0971  Prediction Error = -3.45 
 Percent = 1.0218  Prediction Error = -3.45 
 Percent = 1.0218  Prediction Error = -3.494 
 Percent = 0.9507  Prediction Error = -3.494 
 Percent = 0.9507  Prediction Error = -3.537 
 Percent = 0.8838  Prediction Error = -3.537 
 Percent = 0.8838  Prediction Error = -3.58 
 Percent = 0.8208  Prediction Error = -3.58 
 Percent = 0.8208  Prediction Error = -3.624 
 Percent = 0.7616  Prediction Error = -3.624 
 Percent = 0.7616  Prediction Error = -3.667 
 Percent = 0.706  Prediction Error = -3.667 
 Percent = 0.706  Prediction Error = -3.711 
 Percent = 0.6539  Prediction Error = -3.711 
 Percent = 0.6539  Prediction Error = -3.754 
 Percent = 0.6051  Prediction Error = -3.754 
 Percent = 0.6051  Prediction Error = -3.798 
 Percent = 0.5594  Prediction Error = -3.798 
 Percent = 0.5594  Prediction Error = -3.841 
 Percent = 0.5167  Prediction Error = -3.841 
 Percent = 0.5167  Prediction Error = -3.885 
 Percent = 0.4768  Prediction Error = -3.885 
 Percent = 0.4768  Prediction Error = -3.928 
 Percent = 0.4396  Prediction Error = -3.928 
 Percent = 0.4396  Prediction Error = -3.972 
 Percent = 0.4049  Prediction Error = -3.972 
 Percent = 0.4049  Prediction Error = -4.015 
 Percent = 0.3726  Prediction Error = -4.015 
 Percent = 0.3726  Prediction Error = -4.058 
 Percent = 0.3426  Prediction Error = -4.058 
 Percent = 0.3426  Prediction Error = -4.102 
 Percent = 0.3147  Prediction Error = -4.102 
 Percent = 0.3147  Prediction Error = -4.145 
 Percent = 0.2888  Prediction Error = -4.145 
 Percent = 0.2888  Prediction Error = -4.189 
 Percent = 0.2648  Prediction Error = -4.189 
 Percent = 0.2648  Prediction Error = -4.232 
 Percent = 0.2426  Prediction Error = -4.232 
 Percent = 0.2426  Prediction Error = -4.276 
 Percent = 0.222  Prediction Error = -4.276 
 Percent = 0.222  Prediction Error = -4.319 
 Percent = 0.203  Prediction Error = -4.319 
 Percent = 0.203  Prediction Error = -4.363 
 Percent = 0.1854  Prediction Error = 3 
 Percent = 1.3274  Prediction Error = 3 
 Percent = 1.3274  Prediction Error = 2.4 
 Percent = 6.1947  Prediction Error = 2.4 
 Percent = 6.1947  Prediction Error = 1.8 
 Percent = 10.619  Prediction Error = 1.8 
 Percent = 10.619  Prediction Error = 1.2 
 Percent = 13.274  Prediction Error = 1.2 
 Percent = 13.274  Prediction Error = 0.6 
 Percent = 6.1947  Prediction Error = 0.6 
 Percent = 6.1947  Prediction Error = 0 
 Percent = 13.274  Prediction Error = 0 
 Percent = 13.274  Prediction Error = -0.6 
 Percent = 15.487  Prediction Error = -0.6 
 Percent = 15.487  Prediction Error = -1.2 
 Percent = 15.487  Prediction Error = -1.2 
 Percent = 15.487  Prediction Error = -1.8 
 Percent = 14.602  Prediction Error = -1.8 
 Percent = 14.602  Prediction Error = -2.4 
 Percent = 1.7699  Prediction Error = -2.4 
 Percent = 1.7699  Prediction Error = -3 
 Percent = 1.7699  Prediction Error = -3 
 Percent = 1.7699  Quantile = 2.7747 
 Residual = 2.9754  Quantile = 2.448 
 Residual = 2.9654  Quantile = 2.2701 
 Residual = 2.9578  Quantile = 2.1439 
 Residual = 2.6716  Quantile = 2.0447 
 Residual = 2.6613  Quantile = 1.9623 
 Residual = 2.66  Quantile = 1.8915 
 Residual = 2.5496  Quantile = 1.829 
 Residual = 2.5121  Quantile = 1.7729 
 Residual = 2.41  Quantile = 1.7219 
 Residual = 2.3989  Quantile = 1.6751 
 Residual = 2.3724  Quantile = 1.6316 
 Residual = 2.3518  Quantile = 1.591 
 Residual = 2.2764  Quantile = 1.5529 
 Residual = 2.2748  Quantile = 1.5169 
 Residual = 2.1867  Quantile = 1.4828 
 Residual = 2.1652  Quantile = 1.4503 
 Residual = 2.1556  Quantile = 1.4193 
 Residual = 2.0401  Quantile = 1.3896 
 Residual = 2.0362  Quantile = 1.3611 
 Residual = 2.0288  Quantile = 1.3336 
 Residual = 2  Quantile = 1.3072 
 Residual = 1.9844  Quantile = 1.2816 
 Residual = 1.9563  Quantile = 1.2568 
 Residual = 1.9391  Quantile = 1.2327 
 Residual = 1.918  Quantile = 1.2094 
 Residual = 1.9079  Quantile = 1.1867 
 Residual = 1.8746  Quantile = 1.1646 
 Residual = 1.8579  Quantile = 1.143 
 Residual = 1.7851  Quantile = 1.122 
 Residual = 1.7593  Quantile = 1.1014 
 Residual = 1.7392  Quantile = 1.0813 
 Residual = 1.6862  Quantile = 1.0616 
 Residual = 1.634  Quantile = 1.0424 
 Residual = 1.6192  Quantile = 1.0235 
 Residual = 1.6059  Quantile = 1.005 
 Residual = 1.5681  Quantile = 0.9868 
 Residual = 1.5539  Quantile = 0.9689 
 Residual = 1.5409  Quantile = 0.9513 
 Residual = 1.5397  Quantile = 0.9341 
 Residual = 1.5377  Quantile = 0.9171 
 Residual = 1.5175  Quantile = 0.9003 
 Residual = 1.4991  Quantile = 0.8838 
 Residual = 1.4946  Quantile = 0.8676 
 Residual = 1.4699  Quantile = 0.8515 
 Residual = 1.4621  Quantile = 0.8357 
 Residual = 1.4584  Quantile = 0.8201 
 Residual = 1.4512  Quantile = 0.8047 
 Residual = 1.4501  Quantile = 0.7895 
 Residual = 1.4485  Quantile = 0.7744 
 Residual = 1.4374  Quantile = 0.7596 
 Residual = 1.4252  Quantile = 0.7449 
 Residual = 1.4142  Quantile = 0.7303 
 Residual = 1.3583  Quantile = 0.7159 
 Residual = 1.327  Quantile = 0.7017 
 Residual = 1.3161  Quantile = 0.6876 
 Residual = 1.2789  Quantile = 0.6736 
 Residual = 1.2397  Quantile = 0.6598 
 Residual = 1.2135  Quantile = 0.6461 
 Residual = 1.1732  Quantile = 0.6325 
 Residual = 1.1516  Quantile = 0.619 
 Residual = 1.1472  Quantile = 0.6056 
 Residual = 1.1209  Quantile = 0.5924 
 Residual = 1.0664  Quantile = 0.5792 
 Residual = 1.0435  Quantile = 0.5662 
 Residual = 0.9879  Quantile = 0.5532 
 Residual = 0.9807  Quantile = 0.5404 
 Residual = 0.9436  Quantile = 0.5276 
 Residual = 0.9404  Quantile = 0.5149 
 Residual = 0.9257  Quantile = 0.5023 
 Residual = 0.924  Quantile = 0.4898 
 Residual = 0.9132  Quantile = 0.4773 
 Residual = 0.8845  Quantile = 0.4649 
 Residual = 0.8158  Quantile = 0.4526 
 Residual = 0.7262  Quantile = 0.4404 
 Residual = 0.7221  Quantile = 0.4282 
 Residual = 0.7108  Quantile = 0.4161 
 Residual = 0.6603  Quantile = 0.404 
 Residual = 0.6223  Quantile = 0.392 
 Residual = 0.5792  Quantile = 0.3801 
 Residual = 0.5369  Quantile = 0.3682 
 Residual = 0.533  Quantile = 0.3564 
 Residual = 0.4738  Quantile = 0.3446 
 Residual = 0.3486  Quantile = 0.3329 
 Residual = 0.3383  Quantile = 0.3212 
 Residual = 0.3175  Quantile = 0.3095 
 Residual = 0.2346  Quantile = 0.2979 
 Residual = 0.2197  Quantile = 0.2864 
 Residual = 0.0823  Quantile = 0.2749 
 Residual = 0.069  Quantile = 0.2634 
 Residual = 0.0568  Quantile = 0.2519 
 Residual = 0.0499  Quantile = 0.2405 
 Residual = 0.0478  Quantile = 0.2291 
 Residual = 0.0245  Quantile = 0.2177 
 Residual = 0.021  Quantile = 0.2064 
 Residual = 0.0053  Quantile = 0.1951 
 Residual = -0.007  Quantile = 0.1838 
 Residual = -0.008  Quantile = 0.1726 
 Residual = -0.019  Quantile = 0.1613 
 Residual = -0.027  Quantile = 0.1501 
 Residual = -0.035  Quantile = 0.1389 
 Residual = -0.041  Quantile = 0.1278 
 Residual = -0.047  Quantile = 0.1166 
 Residual = -0.049  Quantile = 0.1054 
 Residual = -0.049  Quantile = 0.0943 
 Residual = -0.051  Quantile = 0.0832 
 Residual = -0.055  Quantile = 0.0721 
 Residual = -0.056  Quantile = 0.061 
 Residual = -0.075  Quantile = 0.0499 
 Residual = -0.083  Quantile = 0.0388 
 Residual = -0.095  Quantile = 0.0277 
 Residual = -0.191  Quantile = 0.0166 
 Residual = -0.211  Quantile = 0.0055 
 Residual = -0.223  Quantile = -0.006 
 Residual = -0.245  Quantile = -0.017 
 Residual = -0.298  Quantile = -0.028 
 Residual = -0.337  Quantile = -0.039 
 Residual = -0.347  Quantile = -0.05 
 Residual = -0.363  Quantile = -0.061 
 Residual = -0.396  Quantile = -0.072 
 Residual = -0.424  Quantile = -0.083 
 Residual = -0.45  Quantile = -0.094 
 Residual = -0.486  Quantile = -0.105 
 Residual = -0.488  Quantile = -0.117 
 Residual = -0.522  Quantile = -0.128 
 Residual = -0.523  Quantile = -0.139 
 Residual = -0.541  Quantile = -0.15 
 Residual = -0.556  Quantile = -0.161 
 Residual = -0.561  Quantile = -0.173 
 Residual = -0.565  Quantile = -0.184 
 Residual = -0.575  Quantile = -0.195 
 Residual = -0.591  Quantile = -0.206 
 Residual = -0.628  Quantile = -0.218 
 Residual = -0.658  Quantile = -0.229 
 Residual = -0.675  Quantile = -0.24 
 Residual = -0.706  Quantile = -0.252 
 Residual = -0.711  Quantile = -0.263 
 Residual = -0.725  Quantile = -0.275 
 Residual = -0.737  Quantile = -0.286 
 Residual = -0.745  Quantile = -0.298 
 Residual = -0.749  Quantile = -0.31 
 Residual = -0.754  Quantile = -0.321 
 Residual = -0.754  Quantile = -0.333 
 Residual = -0.779  Quantile = -0.345 
 Residual = -0.783  Quantile = -0.356 
 Residual = -0.794  Quantile = -0.368 
 Residual = -0.825  Quantile = -0.38 
 Residual = -0.826  Quantile = -0.392 
 Residual = -0.839  Quantile = -0.404 
 Residual = -0.854  Quantile = -0.416 
 Residual = -0.893  Quantile = -0.428 
 Residual = -0.911  Quantile = -0.44 
 Residual = -0.933  Quantile = -0.453 
 Residual = -0.953  Quantile = -0.465 
 Residual = -0.954  Quantile = -0.477 
 Residual = -0.98  Quantile = -0.49 
 Residual = -1.001  Quantile = -0.502 
 Residual = -1.004  Quantile = -0.515 
 Residual = -1.034  Quantile = -0.528 
 Residual = -1.039  Quantile = -0.54 
 Residual = -1.044  Quantile = -0.553 
 Residual = -1.051  Quantile = -0.566 
 Residual = -1.064  Quantile = -0.579 
 Residual = -1.07  Quantile = -0.592 
 Residual = -1.078  Quantile = -0.606 
 Residual = -1.096  Quantile = -0.619 
 Residual = -1.117  Quantile = -0.632 
 Residual = -1.129  Quantile = -0.646 
 Residual = -1.146  Quantile = -0.66 
 Residual = -1.158  Quantile = -0.674 
 Residual = -1.163  Quantile = -0.688 
 Residual = -1.173  Quantile = -0.702 
 Residual = -1.196  Quantile = -0.716 
 Residual = -1.206  Quantile = -0.73 
 Residual = -1.228  Quantile = -0.745 
 Residual = -1.251  Quantile = -0.76 
 Residual = -1.276  Quantile = -0.774 
 Residual = -1.276  Quantile = -0.789 
 Residual = -1.28  Quantile = -0.805 
 Residual = -1.36  Quantile = -0.82 
 Residual = -1.381  Quantile = -0.836 
 Residual = -1.463  Quantile = -0.852 
 Residual = -1.463  Quantile = -0.868 
 Residual = -1.48  Quantile = -0.884 
 Residual = -1.485  Quantile = -0.9 
 Residual = -1.491  Quantile = -0.917 
 Residual = -1.505  Quantile = -0.934 
 Residual = -1.522  Quantile = -0.951 
 Residual = -1.528  Quantile = -0.969 
 Residual = -1.536  Quantile = -0.987 
 Residual = -1.54  Quantile = -1.005 
 Residual = -1.548  Quantile = -1.023 
 Residual = -1.587  Quantile = -1.042 
 Residual = -1.605  Quantile = -1.062 
 Residual = -1.649  Quantile = -1.081 
 Residual = -1.671  Quantile = -1.101 
 Residual = -1.706  Quantile = -1.122 
 Residual = -1.714  Quantile = -1.143 
 Residual = -1.715  Quantile = -1.165 
 Residual = -1.735  Quantile = -1.187 
 Residual = -1.741  Quantile = -1.209 
 Residual = -1.744  Quantile = -1.233 
 Residual = -1.767  Quantile = -1.257 
 Residual = -1.798  Quantile = -1.282 
 Residual = -1.822  Quantile = -1.307 
 Residual = -1.831  Quantile = -1.334 
 Residual = -1.852  Quantile = -1.361 
 Residual = -1.898  Quantile = -1.39 
 Residual = -1.899  Quantile = -1.419 
 Residual = -1.975  Quantile = -1.45 
 Residual = -1.975  Quantile = -1.483 
 Residual = -1.988  Quantile = -1.517 
 Residual = -1.995  Quantile = -1.553 
 Residual = -1.996  Quantile = -1.591 
 Residual = -2.005  Quantile = -1.632 
 Residual = -2.026  Quantile = -1.675 
 Residual = -2.036  Quantile = -1.722 
 Residual = -2.069  Quantile = -1.773 
 Residual = -2.079  Quantile = -1.829 
 Residual = -2.111  Quantile = -1.891 
 Residual = -2.25  Quantile = -1.962 
 Residual = -2.366  Quantile = -2.045 
 Residual = -2.484  Quantile = -2.144 
 Residual = -2.7  Quantile = -2.27 
 Residual = -2.983  Quantile = -2.448 
 Residual = -3.004  Quantile = -2.775 
 Residual = -3.073  Slope = 1.434 
 Y = -0.06  Lag = 24 
 ACF = 0.041  Lag = 23 
 ACF = -0.071  Lag = 22 
 ACF = 0.1536  Lag = 21 
 ACF = -0.076  Lag = 20 
 ACF = 0.0186  Lag = 19 
 ACF = -0.078  Lag = 18 
 ACF = 0.0891  Lag = 17 
 ACF = 0.0356  Lag = 16 
 ACF = 0.0947  Lag = 15 
 ACF = 0.0063  Lag = 14 
 ACF = -0.04  Lag = 13 
 ACF = -0.01  Lag = 12 
 ACF = 0.0145  Lag = 11 
 ACF = -0.091  Lag = 10 
 ACF = 0.0788  Lag = 9 
 ACF = 0.0787  Lag = 8 
 ACF = -0.058  Lag = 7 
 ACF = -0.05  Lag = 6 
 ACF = 0.0366  Lag = 5 
 ACF = 0.001  Lag = 4 
 ACF = 0.0076  Lag = 3 
 ACF = -0.063  Lag = 2 
 ACF = -0.023  Lag = 1 
 ACF = -0.012  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.145 
 Upper = 0.145  Lag = 23 
 Lower = -0.144 
 Upper = 0.1443  Lag = 23 
 Lower = -0.144 
 Upper = 0.1443  Lag = 22 
 Lower = -0.141 
 Upper = 0.1414  Lag = 22 
 Lower = -0.141 
 Upper = 0.1414  Lag = 21 
 Lower = -0.141 
 Upper = 0.1407  Lag = 21 
 Lower = -0.141 
 Upper = 0.1407  Lag = 20 
 Lower = -0.141 
 Upper = 0.1406  Lag = 20 
 Lower = -0.141 
 Upper = 0.1406  Lag = 19 
 Lower = -0.14 
 Upper = 0.1399  Lag = 19 
 Lower = -0.14 
 Upper = 0.1399  Lag = 18 
 Lower = -0.139 
 Upper = 0.1389  Lag = 18 
 Lower = -0.139 
 Upper = 0.1389  Lag = 17 
 Lower = -0.139 
 Upper = 0.1387  Lag = 17 
 Lower = -0.139 
 Upper = 0.1387  Lag = 16 
 Lower = -0.138 
 Upper = 0.1376  Lag = 16 
 Lower = -0.138 
 Upper = 0.1376  Lag = 15 
 Lower = -0.138 
 Upper = 0.1375  Lag = 15 
 Lower = -0.138 
 Upper = 0.1375  Lag = 14 
 Lower = -0.137 
 Upper = 0.1373  Lag = 14 
 Lower = -0.137 
 Upper = 0.1373  Lag = 13 
 Lower = -0.137 
 Upper = 0.1373  Lag = 13 
 Lower = -0.137 
 Upper = 0.1373  Lag = 12 
 Lower = -0.137 
 Upper = 0.1373  Lag = 12 
 Lower = -0.137 
 Upper = 0.1373  Lag = 11 
 Lower = -0.136 
 Upper = 0.1362  Lag = 11 
 Lower = -0.136 
 Upper = 0.1362  Lag = 10 
 Lower = -0.135 
 Upper = 0.1354  Lag = 10 
 Lower = -0.135 
 Upper = 0.1354  Lag = 9 
 Lower = -0.135 
 Upper = 0.1346  Lag = 9 
 Lower = -0.135 
 Upper = 0.1346  Lag = 8 
 Lower = -0.134 
 Upper = 0.1342  Lag = 8 
 Lower = -0.134 
 Upper = 0.1342  Lag = 7 
 Lower = -0.134 
 Upper = 0.1338  Lag = 7 
 Lower = -0.134 
 Upper = 0.1338  Lag = 6 
 Lower = -0.134 
 Upper = 0.1337  Lag = 6 
 Lower = -0.134 
 Upper = 0.1337  Lag = 5 
 Lower = -0.134 
 Upper = 0.1337  Lag = 5 
 Lower = -0.134 
 Upper = 0.1337  Lag = 4 
 Lower = -0.134 
 Upper = 0.1337  Lag = 4 
 Lower = -0.134 
 Upper = 0.1337  Lag = 3 
 Lower = -0.133 
 Upper = 0.1331  Lag = 3 
 Lower = -0.133 
 Upper = 0.1331  Lag = 2 
 Lower = -0.133 
 Upper = 0.1331  Lag = 2 
 Lower = -0.133 
 Upper = 0.1331  Lag = 1 
 Lower = -0.133 
 Upper = 0.133  Lag = 1 
 Lower = -0.133 
 Upper = 0.133  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0593  Lag = 23 
 PACF = -0.056  Lag = 22 
 PACF = 0.1279  Lag = 21 
 PACF = -0.064  Lag = 20 
 PACF = 0.0403  Lag = 19 
 PACF = -0.087  Lag = 18 
 PACF = 0.0879  Lag = 17 
 PACF = 0.056  Lag = 16 
 PACF = 0.095  Lag = 15 
 PACF = -0.002  Lag = 14 
 PACF = -0.051  Lag = 13 
 PACF = -57E-6  Lag = 12 
 PACF = 0.0246  Lag = 11 
 PACF = -0.095  Lag = 10 
 PACF = 0.073  Lag = 9 
 PACF = 0.0801  Lag = 8 
 PACF = -0.058  Lag = 7 
 PACF = -0.048  Lag = 6 
 PACF = 0.033  Lag = 5 
 PACF = -0.002  Lag = 4 
 PACF = 0.0054  Lag = 3 
 PACF = -0.064  Lag = 2 
 PACF = -0.023  Lag = 1 
 PACF = -0.012  Lag = 24 
 Lower = -0.133 
 Upper = 0.133  Lag = 23 
 Lower = -0.133 
 Upper = 0.133  Lag = 23 
 Lower = -0.133 
 Upper = 0.133  Lag = 22 
 Lower = -0.133 
 Upper = 0.133  Lag = 22 
 Lower = -0.133 
 Upper = 0.133  Lag = 21 
 Lower = -0.133 
 Upper = 0.133  Lag = 21 
 Lower = -0.133 
 Upper = 0.133  Lag = 20 
 Lower = -0.133 
 Upper = 0.133  Lag = 20 
 Lower = -0.133 
 Upper = 0.133  Lag = 19 
 Lower = -0.133 
 Upper = 0.133  Lag = 19 
 Lower = -0.133 
 Upper = 0.133  Lag = 18 
 Lower = -0.133 
 Upper = 0.133  Lag = 18 
 Lower = -0.133 
 Upper = 0.133  Lag = 17 
 Lower = -0.133 
 Upper = 0.133  Lag = 17 
 Lower = -0.133 
 Upper = 0.133  Lag = 16 
 Lower = -0.133 
 Upper = 0.133  Lag = 16 
 Lower = -0.133 
 Upper = 0.133  Lag = 15 
 Lower = -0.133 
 Upper = 0.133  Lag = 15 
 Lower = -0.133 
 Upper = 0.133  Lag = 14 
 Lower = -0.133 
 Upper = 0.133  Lag = 14 
 Lower = -0.133 
 Upper = 0.133  Lag = 13 
 Lower = -0.133 
 Upper = 0.133  Lag = 13 
 Lower = -0.133 
 Upper = 0.133  Lag = 12 
 Lower = -0.133 
 Upper = 0.133  Lag = 12 
 Lower = -0.133 
 Upper = 0.133  Lag = 11 
 Lower = -0.133 
 Upper = 0.133  Lag = 11 
 Lower = -0.133 
 Upper = 0.133  Lag = 10 
 Lower = -0.133 
 Upper = 0.133  Lag = 10 
 Lower = -0.133 
 Upper = 0.133  Lag = 9 
 Lower = -0.133 
 Upper = 0.133  Lag = 9 
 Lower = -0.133 
 Upper = 0.133  Lag = 8 
 Lower = -0.133 
 Upper = 0.133  Lag = 8 
 Lower = -0.133 
 Upper = 0.133  Lag = 7 
 Lower = -0.133 
 Upper = 0.133  Lag = 7 
 Lower = -0.133 
 Upper = 0.133  Lag = 6 
 Lower = -0.133 
 Upper = 0.133  Lag = 6 
 Lower = -0.133 
 Upper = 0.133  Lag = 5 
 Lower = -0.133 
 Upper = 0.133  Lag = 5 
 Lower = -0.133 
 Upper = 0.133  Lag = 4 
 Lower = -0.133 
 Upper = 0.133  Lag = 4 
 Lower = -0.133 
 Upper = 0.133  Lag = 3 
 Lower = -0.133 
 Upper = 0.133  Lag = 3 
 Lower = -0.133 
 Upper = 0.133  Lag = 2 
 Lower = -0.133 
 Upper = 0.133  Lag = 2 
 Lower = -0.133 
 Upper = 0.133  Lag = 1 
 Lower = -0.133 
 Upper = 0.133
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Oct2019 
 Loess Fit = -0.511  Date_of_death = Aug2019 
 Loess Fit = -0.5  Date_of_death = Aug2019 
 Loess Fit = -0.5  Date_of_death = Jul2019 
 Loess Fit = -0.488  Date_of_death = Jul2019 
 Loess Fit = -0.488  Date_of_death = Jun2019 
 Loess Fit = -0.476  Date_of_death = Jun2019 
 Loess Fit = -0.476  Date_of_death = May2019 
 Loess Fit = -0.464  Date_of_death = May2019 
 Loess Fit = -0.464  Date_of_death = Apr2019 
 Loess Fit = -0.452  Date_of_death = Apr2019 
 Loess Fit = -0.452  Date_of_death = Mar2019 
 Loess Fit = -0.441  Date_of_death = Mar2019 
 Loess Fit = -0.441  Date_of_death = Feb2019 
 Loess Fit = -0.429  Date_of_death = Feb2019 
 Loess Fit = -0.429  Date_of_death = Dec2018 
 Loess Fit = -0.417  Date_of_death = Dec2018 
 Loess Fit = -0.417  Date_of_death = Nov2018 
 Loess Fit = -0.405  Date_of_death = Nov2018 
 Loess Fit = -0.405  Date_of_death = Oct2018 
 Loess Fit = -0.393  Date_of_death = Oct2018 
 Loess Fit = -0.393  Date_of_death = Sep2018 
 Loess Fit = -0.382  Date_of_death = Sep2018 
 Loess Fit = -0.382  Date_of_death = Aug2018 
 Loess Fit = -0.37  Date_of_death = Aug2018 
 Loess Fit = -0.37  Date_of_death = Jul2018 
 Loess Fit = -0.359  Date_of_death = Jul2018 
 Loess Fit = -0.359  Date_of_death = Jun2018 
 Loess Fit = -0.348  Date_of_death = Jun2018 
 Loess Fit = -0.348  Date_of_death = May2018 
 Loess Fit = -0.337  Date_of_death = May2018 
 Loess Fit = -0.337  Date_of_death = Apr2018 
 Loess Fit = -0.326  Date_of_death = Apr2018 
 Loess Fit = -0.326  Date_of_death = Feb2018 
 Loess Fit = -0.315  Date_of_death = Feb2018 
 Loess Fit = -0.315  Date_of_death = Jan2018 
 Loess Fit = -0.304  Date_of_death = Jan2018 
 Loess Fit = -0.304  Date_of_death = Dec2017 
 Loess Fit = -0.293  Date_of_death = Dec2017 
 Loess Fit = -0.293  Date_of_death = Nov2017 
 Loess Fit = -0.282  Date_of_death = Nov2017 
 Loess Fit = -0.282  Date_of_death = Oct2017 
 Loess Fit = -0.271  Date_of_death = Oct2017 
 Loess Fit = -0.271  Date_of_death = Sep2017 
 Loess Fit = -0.26  Date_of_death = Sep2017 
 Loess Fit = -0.26  Date_of_death = Aug2017 
 Loess Fit = -0.249  Date_of_death = Aug2017 
 Loess Fit = -0.249  Date_of_death = Jul2017 
 Loess Fit = -0.238  Date_of_death = Jul2017 
 Loess Fit = -0.238  Date_of_death = May2017 
 Loess Fit = -0.227  Date_of_death = May2017 
 Loess Fit = -0.227  Date_of_death = Apr2017 
 Loess Fit = -0.217  Date_of_death = Apr2017 
 Loess Fit = -0.217  Date_of_death = Mar2017 
 Loess Fit = -0.207  Date_of_death = Mar2017 
 Loess Fit = -0.207  Date_of_death = Feb2017 
 Loess Fit = -0.197  Date_of_death = Feb2017 
 Loess Fit = -0.197  Date_of_death = Jan2017 
 Loess Fit = -0.187  Date_of_death = Jan2017 
 Loess Fit = -0.187  Date_of_death = Dec2016 
 Loess Fit = -0.177  Date_of_death = Dec2016 
 Loess Fit = -0.177  Date_of_death = Nov2016 
 Loess Fit = -0.167  Date_of_death = Nov2016 
 Loess Fit = -0.167  Date_of_death = Sep2016 
 Loess Fit = -0.157  Date_of_death = Sep2016 
 Loess Fit = -0.157  Date_of_death = Aug2016 
 Loess Fit = -0.147  Date_of_death = Aug2016 
 Loess Fit = -0.147  Date_of_death = Jul2016 
 Loess Fit = -0.137  Date_of_death = Jul2016 
 Loess Fit = -0.137  Date_of_death = Jun2016 
 Loess Fit = -0.127  Date_of_death = Jun2016 
 Loess Fit = -0.127  Date_of_death = May2016 
 Loess Fit = -0.117  Date_of_death = May2016 
 Loess Fit = -0.117  Date_of_death = Apr2016 
 Loess Fit = -0.107  Date_of_death = Apr2016 
 Loess Fit = -0.107  Date_of_death = Mar2016 
 Loess Fit = -0.097  Date_of_death = Mar2016 
 Loess Fit = -0.097  Date_of_death = Feb2016 
 Loess Fit = -0.088  Date_of_death = Feb2016 
 Loess Fit = -0.088  Date_of_death = Dec2015 
 Loess Fit = -0.078  Date_of_death = Dec2015 
 Loess Fit = -0.078  Date_of_death = Nov2015 
 Loess Fit = -0.069  Date_of_death = Nov2015 
 Loess Fit = -0.069  Date_of_death = Oct2015 
 Loess Fit = -0.059  Date_of_death = Oct2015 
 Loess Fit = -0.059  Date_of_death = Sep2015 
 Loess Fit = -0.05  Date_of_death = Sep2015 
 Loess Fit = -0.05  Date_of_death = Aug2015 
 Loess Fit = -0.04  Date_of_death = Aug2015 
 Loess Fit = -0.04  Date_of_death = Jul2015 
 Loess Fit = -0.031  Date_of_death = Jul2015 
 Loess Fit = -0.031  Date_of_death = Jun2015 
 Loess Fit = -0.021  Date_of_death = Jun2015 
 Loess Fit = -0.021  Date_of_death = May2015 
 Loess Fit = -0.012  Date_of_death = May2015 
 Loess Fit = -0.012  Date_of_death = Apr2015 
 Loess Fit = -0.002  Date_of_death = Apr2015 
 Loess Fit = -0.002  Date_of_death = Feb2015 
 Loess Fit = 0.0075  Date_of_death = Feb2015 
 Loess Fit = 0.0075  Date_of_death = Jan2015 
 Loess Fit = 0.0167  Date_of_death = Jan2015 
 Loess Fit = 0.0167  Date_of_death = Dec2014 
 Loess Fit = 0.0252  Date_of_death = Dec2014 
 Loess Fit = 0.0252  Date_of_death = Nov2014 
 Loess Fit = 0.0337  Date_of_death = Nov2014 
 Loess Fit = 0.0337  Date_of_death = Oct2014 
 Loess Fit = 0.0422  Date_of_death = Oct2014 
 Loess Fit = 0.0422  Date_of_death = Sep2014 
 Loess Fit = 0.0506  Date_of_death = Sep2014 
 Loess Fit = 0.0506  Date_of_death = Aug2014 
 Loess Fit = 0.0591  Date_of_death = Aug2014 
 Loess Fit = 0.0591  Date_of_death = Jul2014 
 Loess Fit = 0.0676  Date_of_death = Jul2014 
 Loess Fit = 0.0676  Date_of_death = May2014 
 Loess Fit = 0.0761  Date_of_death = May2014 
 Loess Fit = 0.0761  Date_of_death = Apr2014 
 Loess Fit = 0.0846  Date_of_death = Apr2014 
 Loess Fit = 0.0846  Date_of_death = Mar2014 
 Loess Fit = 0.093  Date_of_death = Mar2014 
 Loess Fit = 0.093  Date_of_death = Feb2014 
 Loess Fit = 0.1015  Date_of_death = Feb2014 
 Loess Fit = 0.1015  Date_of_death = Jan2014 
 Loess Fit = 0.11  Date_of_death = Jan2014 
 Loess Fit = 0.11  Date_of_death = Dec2013 
 Loess Fit = 0.1185  Date_of_death = Dec2013 
 Loess Fit = 0.1185  Date_of_death = Nov2013 
 Loess Fit = 0.1197  Date_of_death = Nov2013 
 Loess Fit = 0.1197  Date_of_death = Sep2013 
 Loess Fit = 0.1188  Date_of_death = Sep2013 
 Loess Fit = 0.1188  Date_of_death = Aug2013 
 Loess Fit = 0.118  Date_of_death = Aug2013 
 Loess Fit = 0.118  Date_of_death = Jul2013 
 Loess Fit = 0.1172  Date_of_death = Jul2013 
 Loess Fit = 0.1172  Date_of_death = Jun2013 
 Loess Fit = 0.1164  Date_of_death = Jun2013 
 Loess Fit = 0.1164  Date_of_death = May2013 
 Loess Fit = 0.1155  Date_of_death = May2013 
 Loess Fit = 0.1155  Date_of_death = Apr2013 
 Loess Fit = 0.1147  Date_of_death = Apr2013 
 Loess Fit = 0.1147  Date_of_death = Mar2013 
 Loess Fit = 0.1139  Date_of_death = Mar2013 
 Loess Fit = 0.1139  Date_of_death = Feb2013 
 Loess Fit = 0.113  Date_of_death = Feb2013 
 Loess Fit = 0.113  Date_of_death = Dec2012 
 Loess Fit = 0.1122  Date_of_death = Dec2012 
 Loess Fit = 0.1122  Date_of_death = Nov2012 
 Loess Fit = 0.1114  Date_of_death = Nov2012 
 Loess Fit = 0.1114  Date_of_death = Oct2012 
 Loess Fit = 0.1105  Date_of_death = Oct2012 
 Loess Fit = 0.1105  Date_of_death = Sep2012 
 Loess Fit = 0.1083  Date_of_death = Sep2012 
 Loess Fit = 0.1083  Date_of_death = Aug2012 
 Loess Fit = 0.1034  Date_of_death = Aug2012 
 Loess Fit = 0.1034  Date_of_death = Jul2012 
 Loess Fit = 0.0985  Date_of_death = Jul2012 
 Loess Fit = 0.0985  Date_of_death = Jun2012 
 Loess Fit = 0.0935  Date_of_death = Jun2012 
 Loess Fit = 0.0935  Date_of_death = May2012 
 Loess Fit = 0.0886  Date_of_death = May2012 
 Loess Fit = 0.0886  Date_of_death = Apr2012 
 Loess Fit = 0.0837  Date_of_death = Apr2012 
 Loess Fit = 0.0837  Date_of_death = Feb2012 
 Loess Fit = 0.0788  Date_of_death = Feb2012 
 Loess Fit = 0.0788  Date_of_death = Jan2012 
 Loess Fit = 0.0739  Date_of_death = Jan2012 
 Loess Fit = 0.0739  Date_of_death = Dec2011 
 Loess Fit = 0.0689  Date_of_death = Dec2011 
 Loess Fit = 0.0689  Date_of_death = Nov2011 
 Loess Fit = 0.064  Date_of_death = Nov2011 
 Loess Fit = 0.064  Date_of_death = Oct2011 
 Loess Fit = 0.0591  Date_of_death = Oct2011 
 Loess Fit = 0.0591  Date_of_death = Sep2011 
 Loess Fit = 0.0542  Date_of_death = Sep2011 
 Loess Fit = 0.0542  Date_of_death = Aug2011 
 Loess Fit = 0.0493  Date_of_death = Aug2011 
 Loess Fit = 0.0493  Date_of_death = Jul2011 
 Loess Fit = 0.0425  Date_of_death = Jul2011 
 Loess Fit = 0.0425  Date_of_death = May2011 
 Loess Fit = 0.0354  Date_of_death = May2011 
 Loess Fit = 0.0354  Date_of_death = Apr2011 
 Loess Fit = 0.0283  Date_of_death = Apr2011 
 Loess Fit = 0.0283  Date_of_death = Mar2011 
 Loess Fit = 0.0212  Date_of_death = Mar2011 
 Loess Fit = 0.0212  Date_of_death = Feb2011 
 Loess Fit = 0.014  Date_of_death = Feb2011 
 Loess Fit = 0.014  Date_of_death = Jan2011 
 Loess Fit = 0.0069  Date_of_death = Jan2011 
 Loess Fit = 0.0069  Date_of_death = Dec2010 
 Loess Fit = -15E-5  Date_of_death = Dec2010 
 Loess Fit = -15E-5  Date_of_death = Nov2010 
 Loess Fit = -0.007  Date_of_death = Nov2010 
 Loess Fit = -0.007  Date_of_death = Oct2010 
 Loess Fit = -0.014  Date_of_death = Oct2010 
 Loess Fit = -0.014  Date_of_death = Aug2010 
 Loess Fit = -0.021  Date_of_death = Aug2010 
 Loess Fit = -0.021  Date_of_death = Jul2010 
 Loess Fit = -0.029  Date_of_death = Jul2010 
 Loess Fit = -0.029  Date_of_death = Jun2010 
 Loess Fit = -0.036  Date_of_death = Jun2010 
 Loess Fit = -0.036  Date_of_death = May2010 
 Loess Fit = -0.043  Date_of_death = May2010 
 Loess Fit = -0.043  Date_of_death = Apr2010 
 Loess Fit = -0.05  Date_of_death = Apr2010 
 Loess Fit = -0.05  Date_of_death = Mar2010 
 Loess Fit = -0.057  Date_of_death = Mar2010 
 Loess Fit = -0.057  Date_of_death = Feb2010 
 Loess Fit = -0.064  Date_of_death = Feb2010 
 Loess Fit = -0.064  Date_of_death = Dec2009 
 Loess Fit = -0.071  Date_of_death = Dec2009 
 Loess Fit = -0.071  Date_of_death = Nov2009 
 Loess Fit = -0.079  Date_of_death = Nov2009 
 Loess Fit = -0.079  Date_of_death = Oct2009 
 Loess Fit = -0.086  Date_of_death = Oct2009 
 Loess Fit = -0.086  Date_of_death = Sep2009 
 Loess Fit = -0.093  Date_of_death = Sep2009 
 Loess Fit = -0.093  Date_of_death = Aug2009 
 Loess Fit = -0.1  Date_of_death = Aug2009 
 Loess Fit = -0.1  Date_of_death = Jul2009 
 Loess Fit = -0.107  Date_of_death = Jul2009 
 Loess Fit = -0.107  Date_of_death = Jun2009 
 Loess Fit = -0.115  Date_of_death = Jun2009 
 Loess Fit = -0.115  Date_of_death = May2009 
 Loess Fit = -0.122  Date_of_death = May2009 
 Loess Fit = -0.122  Date_of_death = Apr2009 
 Loess Fit = -0.129  Date_of_death = Apr2009 
 Loess Fit = -0.129  Date_of_death = Feb2009 
 Loess Fit = -0.136  Date_of_death = Feb2009 
 Loess Fit = -0.136  Date_of_death = Jan2009 
 Loess Fit = -0.14  Date_of_death = Jan2009 
 Loess Fit = -0.14  Date_of_death = Dec2008 
 Loess Fit = -0.145  Date_of_death = Dec2008 
 Loess Fit = -0.145  Date_of_death = Nov2008 
 Loess Fit = -0.149  Date_of_death = Nov2008 
 Loess Fit = -0.149  Date_of_death = Oct2008 
 Loess Fit = -0.153  Date_of_death = Oct2008 
 Loess Fit = -0.153  Date_of_death = Sep2008 
 Loess Fit = -0.158  Date_of_death = Sep2008 
 Loess Fit = -0.158  Date_of_death = Aug2008 
 Loess Fit = -0.162  Date_of_death = Aug2008 
 Loess Fit = -0.162  Date_of_death = Jul2008 
 Loess Fit = -0.166  Date_of_death = Jul2008 
 Loess Fit = -0.166  Date_of_death = May2008 
 Loess Fit = -0.171  Date_of_death = May2008 
 Loess Fit = -0.171  Date_of_death = Apr2008 
 Loess Fit = -0.175  Date_of_death = Apr2008 
 Loess Fit = -0.175  Date_of_death = Mar2008 
 Loess Fit = -0.179  Date_of_death = Mar2008 
 Loess Fit = -0.179  Date_of_death = Feb2008 
 Loess Fit = -0.184  Date_of_death = Feb2008 
 Loess Fit = -0.184  Date_of_death = Jan2008 
 Loess Fit = -0.188  Date_of_death = Jan2008 
 Loess Fit = -0.188  Date_of_death = Dec2007 
 Loess Fit = -0.19  Date_of_death = Dec2007 
 Loess Fit = -0.19  Date_of_death = Nov2007 
 Loess Fit = -0.19  Date_of_death = Nov2007 
 Loess Fit = -0.19  Date_of_death = Oct2007 
 Loess Fit = -0.19  Date_of_death = Oct2007 
 Loess Fit = -0.19  Date_of_death = Aug2007 
 Loess Fit = -0.191  Date_of_death = Aug2007 
 Loess Fit = -0.191  Date_of_death = Jul2007 
 Loess Fit = -0.191  Date_of_death = Jul2007 
 Loess Fit = -0.191  Date_of_death = Jun2007 
 Loess Fit = -0.191  Date_of_death = Jun2007 
 Loess Fit = -0.191  Date_of_death = May2007 
 Loess Fit = -0.192  Date_of_death = May2007 
 Loess Fit = -0.192  Date_of_death = Apr2007 
 Loess Fit = -0.192  Date_of_death = Apr2007 
 Loess Fit = -0.192  Date_of_death = Mar2007 
 Loess Fit = -0.193  Date_of_death = Mar2007 
 Loess Fit = -0.193  Date_of_death = Feb2007 
 Loess Fit = -0.193  Date_of_death = Feb2007 
 Loess Fit = -0.193  Date_of_death = Jan2007 
 Loess Fit = -0.193  Date_of_death = Jan2007 
 Loess Fit = -0.193  Date_of_death = Nov2006 
 Loess Fit = -0.194  Date_of_death = Nov2006 
 Loess Fit = -0.194  Date_of_death = Oct2006 
 Loess Fit = -0.193  Date_of_death = Oct2006 
 Loess Fit = -0.193  Date_of_death = Sep2006 
 Loess Fit = -0.188  Date_of_death = Sep2006 
 Loess Fit = -0.188  Date_of_death = Aug2006 
 Loess Fit = -0.183  Date_of_death = Aug2006 
 Loess Fit = -0.183  Date_of_death = Jul2006 
 Loess Fit = -0.178  Date_of_death = Jul2006 
 Loess Fit = -0.178  Date_of_death = Jun2006 
 Loess Fit = -0.173  Date_of_death = Jun2006 
 Loess Fit = -0.173  Date_of_death = May2006 
 Loess Fit = -0.169  Date_of_death = May2006 
 Loess Fit = -0.169  Date_of_death = Apr2006 
 Loess Fit = -0.164  Date_of_death = Apr2006 
 Loess Fit = -0.164  Date_of_death = Feb2006 
 Loess Fit = -0.159  Date_of_death = Feb2006 
 Loess Fit = -0.159  Date_of_death = Jan2006 
 Loess Fit = -0.154  Date_of_death = Jan2006 
 Loess Fit = -0.154  Date_of_death = Dec2005 
 Loess Fit = -0.149  Date_of_death = Dec2005 
 Loess Fit = -0.149  Date_of_death = Nov2005 
 Loess Fit = -0.144  Date_of_death = Nov2005 
 Loess Fit = -0.144  Date_of_death = Oct2005 
 Loess Fit = -0.139  Date_of_death = Oct2005 
 Loess Fit = -0.139  Date_of_death = Sep2005 
 Loess Fit = -0.134  Date_of_death = Sep2005 
 Loess Fit = -0.134  Date_of_death = Aug2005 
 Loess Fit = -0.127  Date_of_death = Aug2005 
 Loess Fit = -0.127  Date_of_death = Jul2005 
 Loess Fit = -0.12  Date_of_death = Jul2005 
 Loess Fit = -0.12  Date_of_death = May2005 
 Loess Fit = -0.112  Date_of_death = May2005 
 Loess Fit = -0.112  Date_of_death = Apr2005 
 Loess Fit = -0.105  Date_of_death = Apr2005 
 Loess Fit = -0.105  Date_of_death = Mar2005 
 Loess Fit = -0.097  Date_of_death = Mar2005 
 Loess Fit = -0.097  Date_of_death = Feb2005 
 Loess Fit = -0.09  Date_of_death = Feb2005 
 Loess Fit = -0.09  Date_of_death = Jan2005 
 Loess Fit = -0.082  Date_of_death = Jan2005 
 Loess Fit = -0.082  Date_of_death = Dec2004 
 Loess Fit = -0.075  Date_of_death = Dec2004 
 Loess Fit = -0.075  Date_of_death = Nov2004 
 Loess Fit = -0.067  Date_of_death = Nov2004 
 Loess Fit = -0.067  Date_of_death = Oct2004 
 Loess Fit = -0.06  Date_of_death = Oct2004 
 Loess Fit = -0.06  Date_of_death = Aug2004 
 Loess Fit = -0.053  Date_of_death = Aug2004 
 Loess Fit = -0.053  Date_of_death = Jul2004 
 Loess Fit = -0.045  Date_of_death = Jul2004 
 Loess Fit = -0.045  Date_of_death = Jun2004 
 Loess Fit = -0.037  Date_of_death = Jun2004 
 Loess Fit = -0.037  Date_of_death = May2004 
 Loess Fit = -0.029  Date_of_death = May2004 
 Loess Fit = -0.029  Date_of_death = Apr2004 
 Loess Fit = -0.021  Date_of_death = Apr2004 
 Loess Fit = -0.021  Date_of_death = Mar2004 
 Loess Fit = -0.013  Date_of_death = Mar2004 
 Loess Fit = -0.013  Date_of_death = Feb2004 
 Loess Fit = -0.005  Date_of_death = Feb2004 
 Loess Fit = -0.005  Date_of_death = Jan2004 
 Loess Fit = 0.0035  Date_of_death = Jan2004 
 Loess Fit = 0.0035  Date_of_death = Nov2003 
 Loess Fit = 0.0117  Date_of_death = Nov2003 
 Loess Fit = 0.0117  Date_of_death = Oct2003 
 Loess Fit = 0.0198  Date_of_death = Oct2003 
 Loess Fit = 0.0198  Date_of_death = Sep2003 
 Loess Fit = 0.028  Date_of_death = Sep2003 
 Loess Fit = 0.028  Date_of_death = Aug2003 
 Loess Fit = 0.0361  Date_of_death = Aug2003 
 Loess Fit = 0.0361  Date_of_death = Jul2003 
 Loess Fit = 0.0443  Date_of_death = Jul2003 
 Loess Fit = 0.0443  Date_of_death = Jun2003 
 Loess Fit = 0.0525  Date_of_death = Jun2003 
 Loess Fit = 0.0525  Date_of_death = May2003 
 Loess Fit = 0.0606  Date_of_death = May2003 
 Loess Fit = 0.0606  Date_of_death = Apr2003 
 Loess Fit = 0.0691  Date_of_death = Apr2003 
 Loess Fit = 0.0691  Date_of_death = Feb2003 
 Loess Fit = 0.0775  Date_of_death = Feb2003 
 Loess Fit = 0.0775  Date_of_death = Jan2003 
 Loess Fit = 0.086  Date_of_death = Jan2003 
 Loess Fit = 0.086  Date_of_death = Dec2002 
 Loess Fit = 0.0945  Date_of_death = Dec2002 
 Loess Fit = 0.0945  Date_of_death = Nov2002 
 Loess Fit = 0.1029  Date_of_death = Nov2002 
 Loess Fit = 0.1029  Date_of_death = Oct2002 
 Loess Fit = 0.1114  Date_of_death = Oct2002 
 Loess Fit = 0.1114  Date_of_death = Sep2002 
 Loess Fit = 0.1199  Date_of_death = Sep2002 
 Loess Fit = 0.1199  Date_of_death = Aug2002 
 Loess Fit = 0.1283  Date_of_death = Aug2002 
 Loess Fit = 0.1283  Date_of_death = Jul2002 
 Loess Fit = 0.1368  Date_of_death = Jul2002 
 Loess Fit = 0.1368  Date_of_death = May2002 
 Loess Fit = 0.1453  Date_of_death = May2002 
 Loess Fit = 0.1453  Date_of_death = Apr2002 
 Loess Fit = 0.1537  Date_of_death = Apr2002 
 Loess Fit = 0.1537  Date_of_death = Mar2002 
 Loess Fit = 0.1622  Date_of_death = Mar2002 
 Loess Fit = 0.1622  Date_of_death = Feb2002 
 Loess Fit = 0.1708  Date_of_death = Feb2002 
 Loess Fit = 0.1708  Date_of_death = Jan2002 
 Loess Fit = 0.1797  Date_of_death = Jan2002 
 Loess Fit = 0.1797  Date_of_death = Dec2001 
 Loess Fit = 0.1886  Date_of_death = Dec2001 
 Loess Fit = 0.1886  Date_of_death = Nov2001 
 Loess Fit = 0.1974  Date_of_death = Nov2001 
 Loess Fit = 0.1974  Date_of_death = Oct2001 
 Loess Fit = 0.2063  Date_of_death = Oct2001 
 Loess Fit = 0.2063  Date_of_death = Aug2001 
 Loess Fit = 0.2151  Date_of_death = Aug2001 
 Loess Fit = 0.2151  Date_of_death = Jul2001 
 Loess Fit = 0.224  Date_of_death = Jul2001 
 Loess Fit = 0.224  Date_of_death = Jun2001 
 Loess Fit = 0.2329  Date_of_death = Jun2001 
 Loess Fit = 0.2329  Date_of_death = May2001 
 Loess Fit = 0.2417  Date_of_death = May2001 
 Loess Fit = 0.2417  Date_of_death = Apr2001 
 Loess Fit = 0.2506  Date_of_death = Apr2001 
 Loess Fit = 0.2506  Date_of_death = Mar2001 
 Loess Fit = 0.2595  Date_of_death = Mar2001 
 Loess Fit = 0.2595  Date_of_death = Feb2001 
 Loess Fit = 0.2683  Date_of_death = Feb2001 
 Loess Fit = 0.2683  Date_of_death = Jan2001 
 Loess Fit = 0.2772  Date_of_death = Oct2019 
 Prediction Error = -1.228  Date_of_death = Sep2019 
 Prediction Error = -0.783  Date_of_death = Aug2019 
 Prediction Error = 1.9079  Date_of_death = Jul2019 
 Prediction Error = 0.0245  Date_of_death = Jun2019 
 Prediction Error = -1.505  Date_of_death = May2019 
 Prediction Error = -1.28  Date_of_death = Apr2019 
 Prediction Error = -1.146  Date_of_death = Mar2019 
 Prediction Error = -0.826  Date_of_death = Feb2019 
 Prediction Error = -0.779  Date_of_death = Jan2019 
 Prediction Error = 2.2748  Date_of_death = Dec2018 
 Prediction Error = -1.251  Date_of_death = Nov2018 
 Prediction Error = 1.918  Date_of_death = Oct2018 
 Prediction Error = -1.463  Date_of_death = Sep2018 
 Prediction Error = -2.111  Date_of_death = Aug2018 
 Prediction Error = -0.337  Date_of_death = Jul2018 
 Prediction Error = -0.223  Date_of_death = Jun2018 
 Prediction Error = -1.899  Date_of_death = May2018 
 Prediction Error = -1.649  Date_of_death = Apr2018 
 Prediction Error = -0.396  Date_of_death = Mar2018 
 Prediction Error = -1.163  Date_of_death = Feb2018 
 Prediction Error = -1.158  Date_of_death = Jan2018 
 Prediction Error = 2.1867  Date_of_death = Dec2017 
 Prediction Error = -1.735  Date_of_death = Nov2017 
 Prediction Error = -1.605  Date_of_death = Oct2017 
 Prediction Error = 1.3583  Date_of_death = Sep2017 
 Prediction Error = 0.7108  Date_of_death = Aug2017 
 Prediction Error = 1.634  Date_of_death = Jul2017 
 Prediction Error = -1.54  Date_of_death = Jun2017 
 Prediction Error = -2.25  Date_of_death = May2017 
 Prediction Error = -1.995  Date_of_death = Apr2017 
 Prediction Error = -1.767  Date_of_death = Mar2017 
 Prediction Error = 1.8579  Date_of_death = Feb2017 
 Prediction Error = -1.491  Date_of_death = Jan2017 
 Prediction Error = -0.035  Date_of_death = Dec2016 
 Prediction Error = 1.2397  Date_of_death = Nov2016 
 Prediction Error = 1.4512  Date_of_death = Oct2016 
 Prediction Error = 1.4142  Date_of_death = Sep2016 
 Prediction Error = -2.7  Date_of_death = Aug2016 
 Prediction Error = -1.744  Date_of_death = Jul2016 
 Prediction Error = 0.3175  Date_of_death = Jun2016 
 Prediction Error = 0.7262  Date_of_death = May2016 
 Prediction Error = 1.1209  Date_of_death = Apr2016 
 Prediction Error = 1.4501  Date_of_death = Mar2016 
 Prediction Error = 1.0435  Date_of_death = Feb2016 
 Prediction Error = 1.8746  Date_of_death = Jan2016 
 Prediction Error = -0.954  Date_of_death = Dec2015 
 Prediction Error = -0.706  Date_of_death = Nov2015 
 Prediction Error = 0.5792  Date_of_death = Oct2015 
 Prediction Error = 0.5369  Date_of_death = Sep2015 
 Prediction Error = 0.533  Date_of_death = Aug2015 
 Prediction Error = -1.715  Date_of_death = Jul2015 
 Prediction Error = -1.706  Date_of_death = Jun2015 
 Prediction Error = 0.924  Date_of_death = May2015 
 Prediction Error = 1.327  Date_of_death = Apr2015 
 Prediction Error = -1.714  Date_of_death = Mar2015 
 Prediction Error = 0.0053  Date_of_death = Feb2015 
 Prediction Error = 0.8845  Date_of_death = Jan2015 
 Prediction Error = 2.2764  Date_of_death = Dec2014 
 Prediction Error = 1.5175  Date_of_death = Nov2014 
 Prediction Error = -1.528  Date_of_death = Oct2014 
 Prediction Error = -0.486  Date_of_death = Sep2014 
 Prediction Error = 0.6223  Date_of_death = Aug2014 
 Prediction Error = -1.852  Date_of_death = Jul2014 
 Prediction Error = 1.5681  Date_of_death = Jun2014 
 Prediction Error = -0.008  Date_of_death = May2014 
 Prediction Error = -1.831  Date_of_death = Apr2014 
 Prediction Error = 1.5377  Date_of_death = Mar2014 
 Prediction Error = -1.044  Date_of_death = Feb2014 
 Prediction Error = 2.1652  Date_of_death = Jan2014 
 Prediction Error = -0.839  Date_of_death = Dec2013 
 Prediction Error = 1.6862  Date_of_death = Nov2013 
 Prediction Error = -0.556  Date_of_death = Oct2013 
 Prediction Error = 1.7851  Date_of_death = Sep2013 
 Prediction Error = 0.8158  Date_of_death = Aug2013 
 Prediction Error = 1.4991  Date_of_death = Jul2013 
 Prediction Error = 1.9844  Date_of_death = Jun2013 
 Prediction Error = -2.005  Date_of_death = May2013 
 Prediction Error = -1.798  Date_of_death = Apr2013 
 Prediction Error = -1.485  Date_of_death = Mar2013 
 Prediction Error = 0.0823  Date_of_death = Feb2013 
 Prediction Error = -0.893  Date_of_death = Jan2013 
 Prediction Error = 2.5121  Date_of_death = Dec2012 
 Prediction Error = -0.298  Date_of_death = Nov2012 
 Prediction Error = -0.561  Date_of_death = Oct2012 
 Prediction Error = 2.0401  Date_of_death = Sep2012 
 Prediction Error = 0.9404  Date_of_death = Aug2012 
 Prediction Error = -0.591  Date_of_death = Jul2012 
 Prediction Error = -0.083  Date_of_death = Jun2012 
 Prediction Error = 1.1516  Date_of_death = May2012 
 Prediction Error = 1.4946  Date_of_death = Apr2012 
 Prediction Error = 1.9563  Date_of_death = Mar2012 
 Prediction Error = -0.754  Date_of_death = Feb2012 
 Prediction Error = -0.725  Date_of_death = Jan2012 
 Prediction Error = -0.363  Date_of_death = Dec2011 
 Prediction Error = 2.1556  Date_of_death = Nov2011 
 Prediction Error = -1.548  Date_of_death = Oct2011 
 Prediction Error = -0.953  Date_of_death = Sep2011 
 Prediction Error = 1.1732  Date_of_death = Aug2011 
 Prediction Error = 1.7593  Date_of_death = Jul2011 
 Prediction Error = 2.3989  Date_of_death = Jun2011 
 Prediction Error = -0.754  Date_of_death = May2011 
 Prediction Error = -0.424  Date_of_death = Apr2011 
 Prediction Error = -1.117  Date_of_death = Mar2011 
 Prediction Error = 2.6716  Date_of_death = Feb2011 
 Prediction Error = -0.658  Date_of_death = Jan2011 
 Prediction Error = -0.245  Date_of_death = Dec2010 
 Prediction Error = 1.4485  Date_of_death = Nov2010 
 Prediction Error = -1.587  Date_of_death = Oct2010 
 Prediction Error = -0.911  Date_of_death = Sep2010 
 Prediction Error = 1.4621  Date_of_death = Aug2010 
 Prediction Error = -1.381  Date_of_death = Jul2010 
 Prediction Error = -0.737  Date_of_death = Jun2010 
 Prediction Error = -2.079  Date_of_death = May2010 
 Prediction Error = -1.741  Date_of_death = Apr2010 
 Prediction Error = 2.0362  Date_of_death = Mar2010 
 Prediction Error = -0.565  Date_of_death = Feb2010 
 Prediction Error = 0.2346  Date_of_death = Jan2010 
 Prediction Error = -0.45  Date_of_death = Dec2009 
 Prediction Error = -0.854  Date_of_death = Nov2009 
 Prediction Error = 1.4699  Date_of_death = Oct2009 
 Prediction Error = -1.196  Date_of_death = Sep2009 
 Prediction Error = -1.988  Date_of_death = Aug2009 
 Prediction Error = -1.822  Date_of_death = Jul2009 
 Prediction Error = 2.41  Date_of_death = Jun2009 
 Prediction Error = -1.36  Date_of_death = May2009 
 Prediction Error = 0.2197  Date_of_death = Apr2009 
 Prediction Error = -1.276  Date_of_death = Mar2009 
 Prediction Error = 0.3383  Date_of_death = Feb2009 
 Prediction Error = -1.07  Date_of_death = Jan2009 
 Prediction Error = -0.711  Date_of_death = Dec2008 
 Prediction Error = -1.206  Date_of_death = Nov2008 
 Prediction Error = 1.4584  Date_of_death = Oct2008 
 Prediction Error = 1.9391  Date_of_death = Sep2008 
 Prediction Error = 1.1472  Date_of_death = Aug2008 
 Prediction Error = -0.933  Date_of_death = Jul2008 
 Prediction Error = -0.745  Date_of_death = Jun2008 
 Prediction Error = 0.7221  Date_of_death = May2008 
 Prediction Error = 1.4252  Date_of_death = Apr2008 
 Prediction Error = 0.9257  Date_of_death = Mar2008 
 Prediction Error = -0.675  Date_of_death = Feb2008 
 Prediction Error = -1.129  Date_of_death = Jan2008 
 Prediction Error = 0.4738  Date_of_death = Dec2007 
 Prediction Error = -1.276  Date_of_death = Nov2007 
 Prediction Error = -0.575  Date_of_death = Oct2007 
 Prediction Error = -0.095  Date_of_death = Sep2007 
 Prediction Error = -1.078  Date_of_death = Aug2007 
 Prediction Error = -2.366  Date_of_death = Jul2007 
 Prediction Error = -1.001  Date_of_death = Jun2007 
 Prediction Error = -0.522  Date_of_death = May2007 
 Prediction Error = 1.4374  Date_of_death = Apr2007 
 Prediction Error = -0.347  Date_of_death = Mar2007 
 Prediction Error = 2.5496  Date_of_death = Feb2007 
 Prediction Error = -1.48  Date_of_death = Jan2007 
 Prediction Error = -0.794  Date_of_death = Dec2006 
 Prediction Error = -0.488  Date_of_death = Nov2006 
 Prediction Error = -2.069  Date_of_death = Oct2006 
 Prediction Error = -1.536  Date_of_death = Sep2006 
 Prediction Error = 0.9132  Date_of_death = Aug2006 
 Prediction Error = 0.6603  Date_of_death = Jul2006 
 Prediction Error = -0.055  Date_of_death = Jun2006 
 Prediction Error = -1.898  Date_of_death = May2006 
 Prediction Error = 1.6059  Date_of_death = Apr2006 
 Prediction Error = -0.541  Date_of_death = Mar2006 
 Prediction Error = -0.749  Date_of_death = Feb2006 
 Prediction Error = -1.975  Date_of_death = Jan2006 
 Prediction Error = -1.173  Date_of_death = Dec2005 
 Prediction Error = -0.825  Date_of_death = Nov2005 
 Prediction Error = 0.9879  Date_of_death = Oct2005 
 Prediction Error = -2.026  Date_of_death = Sep2005 
 Prediction Error = 0.9436  Date_of_death = Aug2005 
 Prediction Error = -0.628  Date_of_death = Jul2005 
 Prediction Error = -1.522  Date_of_death = Jun2005 
 Prediction Error = -0.075  Date_of_death = May2005 
 Prediction Error = 1.7392  Date_of_death = Apr2005 
 Prediction Error = 1.6192  Date_of_death = Mar2005 
 Prediction Error = -1.051  Date_of_death = Feb2005 
 Prediction Error = 1.2135  Date_of_death = Jan2005 
 Prediction Error = -0.211  Date_of_death = Dec2004 
 Prediction Error = 1.5409  Date_of_death = Nov2004 
 Prediction Error = 1.3161  Date_of_death = Oct2004 
 Prediction Error = -2.484  Date_of_death = Sep2004 
 Prediction Error = 1.2789  Date_of_death = Aug2004 
 Prediction Error = -1.996  Date_of_death = Jul2004 
 Prediction Error = 2.0288  Date_of_death = Jun2004 
 Prediction Error = 0.0568  Date_of_death = May2004 
 Prediction Error = 2.3518  Date_of_death = Apr2004 
 Prediction Error = -1.671  Date_of_death = Mar2004 
 Prediction Error = 0.0478  Date_of_death = Feb2004 
 Prediction Error = 0.3486  Date_of_death = Jan2004 
 Prediction Error = -0.191  Date_of_death = Dec2003 
 Prediction Error = -1.975  Date_of_death = Nov2003 
 Prediction Error = -0.98  Date_of_death = Oct2003 
 Prediction Error = -2.036  Date_of_death = Sep2003 
 Prediction Error = -1.064  Date_of_death = Aug2003 
 Prediction Error = -0.049  Date_of_death = Jul2003 
 Prediction Error = 2.66  Date_of_death = Jun2003 
 Prediction Error = -0.007  Date_of_death = May2003 
 Prediction Error = -1.034  Date_of_death = Apr2003 
 Prediction Error = -1.039  Date_of_death = Mar2003 
 Prediction Error = 2.6613  Date_of_death = Feb2003 
 Prediction Error = -1.004  Date_of_death = Jan2003 
 Prediction Error = 2.3724  Date_of_death = Dec2002 
 Prediction Error = 1.5539  Date_of_death = Nov2002 
 Prediction Error = -2.983  Date_of_death = Oct2002 
 Prediction Error = 0.021  Date_of_death = Sep2002 
 Prediction Error = 1.5397  Date_of_death = Aug2002 
 Prediction Error = 0.0499  Date_of_death = Jul2002 
 Prediction Error = 1.0664  Date_of_death = Jun2002 
 Prediction Error = 0.069  Date_of_death = May2002 
 Prediction Error = -1.463  Date_of_death = Apr2002 
 Prediction Error = -3.004  Date_of_death = Mar2002 
 Prediction Error = -0.523  Date_of_death = Feb2002 
 Prediction Error = -3.073  Date_of_death = Jan2002 
 Prediction Error = -1.096  Date_of_death = Dec2001 
 Prediction Error = 2.9578  Date_of_death = Nov2001 
 Prediction Error = -0.051  Date_of_death = Oct2001 
 Prediction Error = -0.056  Date_of_death = Sep2001 
 Prediction Error = 2.9654  Date_of_death = Aug2001 
 Prediction Error = -0.041  Date_of_death = Jul2001 
 Prediction Error = -0.047  Date_of_death = Jun2001 
 Prediction Error = -0.049  Date_of_death = May2001 
 Prediction Error = 2.9754  Date_of_death = Apr2001 
 Prediction Error = -0.027  Date_of_death = Mar2001 
 Prediction Error = 0.9807  Date_of_death = Feb2001 
 Prediction Error = -0.019  Date_of_death = Jan2001 
 Prediction Error = 2  Date_of_death = Oct2019 
 2*STD = 2.7315 
 -2*STD = -2.731  Date_of_death = Sep2019 
 2*STD = 2.7315 
 -2*STD = -2.731  Date_of_death = Sep2019 
 2*STD = 2.7315 
 -2*STD = -2.731  Date_of_death = Aug2019 
 2*STD = 2.7315 
 -2*STD = -2.731  Date_of_death = Aug2019 
 2*STD = 2.7315 
 -2*STD = -2.731  Date_of_death = Jul2019 
 2*STD = 2.7315 
 -2*STD = -2.732  Date_of_death = Jul2019 
 2*STD = 2.7315 
 -2*STD = -2.732  Date_of_death = Jun2019 
 2*STD = 2.7315 
 -2*STD = -2.732  Date_of_death = Jun2019 
 2*STD = 2.7315 
 -2*STD = -2.732  Date_of_death = May2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = May2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = Apr2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = Apr2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = Mar2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = Mar2019 
 2*STD = 2.7316 
 -2*STD = -2.732  Date_of_death = Feb2019 
 2*STD = 2.7317 
 -2*STD = -2.732  Date_of_death = Feb2019 
 2*STD = 2.7317 
 -2*STD = -2.732  Date_of_death = Jan2019 
 2*STD = 2.7317 
 -2*STD = -2.732  Date_of_death = Jan2019 
 2*STD = 2.7317 
 -2*STD = -2.732  Date_of_death = Dec2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Dec2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Nov2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Nov2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Oct2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Oct2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Sep2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Sep2018 
 2*STD = 2.7335 
 -2*STD = -2.733  Date_of_death = Aug2018 
 2*STD = 2.7335 
 -2*STD = -2.734  Date_of_death = Aug2018 
 2*STD = 2.7335 
 -2*STD = -2.734  Date_of_death = Jul2018 
 2*STD = 2.7335 
 -2*STD = -2.734  Date_of_death = Jul2018 
 2*STD = 2.7335 
 -2*STD = -2.734  Date_of_death = Jun2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = Jun2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = May2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = May2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = Apr2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = Apr2018 
 2*STD = 2.7336 
 -2*STD = -2.734  Date_of_death = Mar2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Mar2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Feb2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Feb2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Jan2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Jan2018 
 2*STD = 2.7337 
 -2*STD = -2.734  Date_of_death = Dec2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Dec2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Nov2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Nov2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Oct2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Oct2017 
 2*STD = 2.7358 
 -2*STD = -2.736  Date_of_death = Sep2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Sep2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Aug2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Aug2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Jul2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Jul2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Jun2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = Jun2017 
 2*STD = 2.7359 
 -2*STD = -2.736  Date_of_death = May2017 
 2*STD = 2.736 
 -2*STD = -2.736  Date_of_death = May2017 
 2*STD = 2.736 
 -2*STD = -2.736  Date_of_death = Apr2017 
 2*STD = 2.736 
 -2*STD = -2.736  Date_of_death = Apr2017 
 2*STD = 2.736 
 -2*STD = -2.736  Date_of_death = Mar2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Mar2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Feb2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Feb2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Jan2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Jan2017 
 2*STD = 2.7361 
 -2*STD = -2.736  Date_of_death = Dec2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Dec2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Nov2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Nov2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Oct2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Oct2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Sep2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Sep2016 
 2*STD = 2.7386 
 -2*STD = -2.739  Date_of_death = Aug2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = Aug2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = Jul2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = Jul2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = Jun2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = Jun2016 
 2*STD = 2.7387 
 -2*STD = -2.739  Date_of_death = May2016 
 2*STD = 2.7388 
 -2*STD = -2.739  Date_of_death = May2016 
 2*STD = 2.7388 
 -2*STD = -2.739  Date_of_death = Apr2016 
 2*STD = 2.7388 
 -2*STD = -2.739  Date_of_death = Apr2016 
 2*STD = 2.7388 
 -2*STD = -2.739  Date_of_death = Mar2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Mar2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Feb2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Feb2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Jan2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Jan2016 
 2*STD = 2.7389 
 -2*STD = -2.739  Date_of_death = Dec2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Dec2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Nov2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Nov2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Oct2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Oct2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Sep2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Sep2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Aug2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Aug2015 
 2*STD = 2.7419 
 -2*STD = -2.742  Date_of_death = Jul2015 
 2*STD = 2.742 
 -2*STD = -2.742  Date_of_death = Jul2015 
 2*STD = 2.742 
 -2*STD = -2.742  Date_of_death = Jun2015 
 2*STD = 2.742 
 -2*STD = -2.742  Date_of_death = Jun2015 
 2*STD = 2.742 
 -2*STD = -2.742  Date_of_death = May2015 
 2*STD = 2.7421 
 -2*STD = -2.742  Date_of_death = May2015 
 2*STD = 2.7421 
 -2*STD = -2.742  Date_of_death = Apr2015 
 2*STD = 2.7421 
 -2*STD = -2.742  Date_of_death = Apr2015 
 2*STD = 2.7421 
 -2*STD = -2.742  Date_of_death = Mar2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Mar2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Feb2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Feb2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Jan2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Jan2015 
 2*STD = 2.7422 
 -2*STD = -2.742  Date_of_death = Dec2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Dec2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Nov2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Nov2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Oct2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Oct2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Sep2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Sep2014 
 2*STD = 2.7458 
 -2*STD = -2.746  Date_of_death = Aug2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = Aug2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = Jul2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = Jul2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = Jun2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = Jun2014 
 2*STD = 2.7459 
 -2*STD = -2.746  Date_of_death = May2014 
 2*STD = 2.746 
 -2*STD = -2.746  Date_of_death = May2014 
 2*STD = 2.746 
 -2*STD = -2.746  Date_of_death = Apr2014 
 2*STD = 2.7461 
 -2*STD = -2.746  Date_of_death = Apr2014 
 2*STD = 2.7461 
 -2*STD = -2.746  Date_of_death = Mar2014 
 2*STD = 2.7461 
 -2*STD = -2.746  Date_of_death = Mar2014 
 2*STD = 2.7461 
 -2*STD = -2.746  Date_of_death = Feb2014 
 2*STD = 2.7462 
 -2*STD = -2.746  Date_of_death = Feb2014 
 2*STD = 2.7462 
 -2*STD = -2.746  Date_of_death = Jan2014 
 2*STD = 2.7462 
 -2*STD = -2.746  Date_of_death = Jan2014 
 2*STD = 2.7462 
 -2*STD = -2.746  Date_of_death = Dec2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Dec2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Nov2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Nov2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Oct2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Oct2013 
 2*STD = 2.7505 
 -2*STD = -2.75  Date_of_death = Sep2013 
 2*STD = 2.7505 
 -2*STD = -2.751  Date_of_death = Sep2013 
 2*STD = 2.7505 
 -2*STD = -2.751  Date_of_death = Aug2013 
 2*STD = 2.7505 
 -2*STD = -2.751  Date_of_death = Aug2013 
 2*STD = 2.7505 
 -2*STD = -2.751  Date_of_death = Jul2013 
 2*STD = 2.7506 
 -2*STD = -2.751  Date_of_death = Jul2013 
 2*STD = 2.7506 
 -2*STD = -2.751  Date_of_death = Jun2013 
 2*STD = 2.7506 
 -2*STD = -2.751  Date_of_death = Jun2013 
 2*STD = 2.7506 
 -2*STD = -2.751  Date_of_death = May2013 
 2*STD = 2.7507 
 -2*STD = -2.751  Date_of_death = May2013 
 2*STD = 2.7507 
 -2*STD = -2.751  Date_of_death = Apr2013 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Apr2013 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Mar2013 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Mar2013 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Feb2013 
 2*STD = 2.7509 
 -2*STD = -2.751  Date_of_death = Feb2013 
 2*STD = 2.7509 
 -2*STD = -2.751  Date_of_death = Jan2013 
 2*STD = 2.7509 
 -2*STD = -2.751  Date_of_death = Jan2013 
 2*STD = 2.7509 
 -2*STD = -2.751  Date_of_death = Dec2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Dec2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Nov2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Nov2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Oct2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Oct2012 
 2*STD = 2.7561 
 -2*STD = -2.756  Date_of_death = Sep2012 
 2*STD = 2.7562 
 -2*STD = -2.756  Date_of_death = Sep2012 
 2*STD = 2.7562 
 -2*STD = -2.756  Date_of_death = Aug2012 
 2*STD = 2.7562 
 -2*STD = -2.756  Date_of_death = Aug2012 
 2*STD = 2.7562 
 -2*STD = -2.756  Date_of_death = Jul2012 
 2*STD = 2.7563 
 -2*STD = -2.756  Date_of_death = Jul2012 
 2*STD = 2.7563 
 -2*STD = -2.756  Date_of_death = Jun2012 
 2*STD = 2.7563 
 -2*STD = -2.756  Date_of_death = Jun2012 
 2*STD = 2.7563 
 -2*STD = -2.756  Date_of_death = May2012 
 2*STD = 2.7564 
 -2*STD = -2.756  Date_of_death = May2012 
 2*STD = 2.7564 
 -2*STD = -2.756  Date_of_death = Apr2012 
 2*STD = 2.7565 
 -2*STD = -2.756  Date_of_death = Apr2012 
 2*STD = 2.7565 
 -2*STD = -2.756  Date_of_death = Mar2012 
 2*STD = 2.7566 
 -2*STD = -2.757  Date_of_death = Mar2012 
 2*STD = 2.7566 
 -2*STD = -2.757  Date_of_death = Feb2012 
 2*STD = 2.7567 
 -2*STD = -2.757  Date_of_death = Feb2012 
 2*STD = 2.7567 
 -2*STD = -2.757  Date_of_death = Jan2012 
 2*STD = 2.7567 
 -2*STD = -2.757  Date_of_death = Jan2012 
 2*STD = 2.7567 
 -2*STD = -2.757  Date_of_death = Dec2011 
 2*STD = 2.763 
 -2*STD = -2.763  Date_of_death = Dec2011 
 2*STD = 2.763 
 -2*STD = -2.763  Date_of_death = Nov2011 
 2*STD = 2.763 
 -2*STD = -2.763  Date_of_death = Nov2011 
 2*STD = 2.763 
 -2*STD = -2.763  Date_of_death = Oct2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Oct2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Sep2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Sep2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Aug2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Aug2011 
 2*STD = 2.7631 
 -2*STD = -2.763  Date_of_death = Jul2011 
 2*STD = 2.7632 
 -2*STD = -2.763  Date_of_death = Jul2011 
 2*STD = 2.7632 
 -2*STD = -2.763  Date_of_death = Jun2011 
 2*STD = 2.7633 
 -2*STD = -2.763  Date_of_death = Jun2011 
 2*STD = 2.7633 
 -2*STD = -2.763  Date_of_death = May2011 
 2*STD = 2.7633 
 -2*STD = -2.763  Date_of_death = May2011 
 2*STD = 2.7633 
 -2*STD = -2.763  Date_of_death = Apr2011 
 2*STD = 2.7634 
 -2*STD = -2.763  Date_of_death = Apr2011 
 2*STD = 2.7634 
 -2*STD = -2.763  Date_of_death = Mar2011 
 2*STD = 2.7635 
 -2*STD = -2.764  Date_of_death = Mar2011 
 2*STD = 2.7635 
 -2*STD = -2.764  Date_of_death = Feb2011 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Feb2011 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jan2011 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jan2011 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Dec2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Dec2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Nov2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Nov2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Oct2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Oct2010 
 2*STD = 2.7716 
 -2*STD = -2.772  Date_of_death = Sep2010 
 2*STD = 2.7717 
 -2*STD = -2.772  Date_of_death = Sep2010 
 2*STD = 2.7717 
 -2*STD = -2.772  Date_of_death = Aug2010 
 2*STD = 2.7717 
 -2*STD = -2.772  Date_of_death = Aug2010 
 2*STD = 2.7717 
 -2*STD = -2.772  Date_of_death = Jul2010 
 2*STD = 2.7718 
 -2*STD = -2.772  Date_of_death = Jul2010 
 2*STD = 2.7718 
 -2*STD = -2.772  Date_of_death = Jun2010 
 2*STD = 2.7719 
 -2*STD = -2.772  Date_of_death = Jun2010 
 2*STD = 2.7719 
 -2*STD = -2.772  Date_of_death = May2010 
 2*STD = 2.772 
 -2*STD = -2.772  Date_of_death = May2010 
 2*STD = 2.772 
 -2*STD = -2.772  Date_of_death = Apr2010 
 2*STD = 2.7721 
 -2*STD = -2.772  Date_of_death = Apr2010 
 2*STD = 2.7721 
 -2*STD = -2.772  Date_of_death = Mar2010 
 2*STD = 2.7722 
 -2*STD = -2.772  Date_of_death = Mar2010 
 2*STD = 2.7722 
 -2*STD = -2.772  Date_of_death = Feb2010 
 2*STD = 2.7723 
 -2*STD = -2.772  Date_of_death = Feb2010 
 2*STD = 2.7723 
 -2*STD = -2.772  Date_of_death = Jan2010 
 2*STD = 2.7724 
 -2*STD = -2.772  Date_of_death = Jan2010 
 2*STD = 2.7724 
 -2*STD = -2.772  Date_of_death = Dec2009 
 2*STD = 2.7823 
 -2*STD = -2.782  Date_of_death = Dec2009 
 2*STD = 2.7823 
 -2*STD = -2.782  Date_of_death = Nov2009 
 2*STD = 2.7823 
 -2*STD = -2.782  Date_of_death = Nov2009 
 2*STD = 2.7823 
 -2*STD = -2.782  Date_of_death = Oct2009 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Oct2009 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Sep2009 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Sep2009 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Aug2009 
 2*STD = 2.7825 
 -2*STD = -2.783  Date_of_death = Aug2009 
 2*STD = 2.7825 
 -2*STD = -2.783  Date_of_death = Jul2009 
 2*STD = 2.7826 
 -2*STD = -2.783  Date_of_death = Jul2009 
 2*STD = 2.7826 
 -2*STD = -2.783  Date_of_death = Jun2009 
 2*STD = 2.7827 
 -2*STD = -2.783  Date_of_death = Jun2009 
 2*STD = 2.7827 
 -2*STD = -2.783  Date_of_death = May2009 
 2*STD = 2.7828 
 -2*STD = -2.783  Date_of_death = May2009 
 2*STD = 2.7828 
 -2*STD = -2.783  Date_of_death = Apr2009 
 2*STD = 2.7829 
 -2*STD = -2.783  Date_of_death = Apr2009 
 2*STD = 2.7829 
 -2*STD = -2.783  Date_of_death = Mar2009 
 2*STD = 2.7831 
 -2*STD = -2.783  Date_of_death = Mar2009 
 2*STD = 2.7831 
 -2*STD = -2.783  Date_of_death = Feb2009 
 2*STD = 2.7832 
 -2*STD = -2.783  Date_of_death = Feb2009 
 2*STD = 2.7832 
 -2*STD = -2.783  Date_of_death = Jan2009 
 2*STD = 2.7833 
 -2*STD = -2.783  Date_of_death = Jan2009 
 2*STD = 2.7833 
 -2*STD = -2.783  Date_of_death = Dec2008 
 2*STD = 2.7961 
 -2*STD = -2.796  Date_of_death = Dec2008 
 2*STD = 2.7961 
 -2*STD = -2.796  Date_of_death = Nov2008 
 2*STD = 2.7961 
 -2*STD = -2.796  Date_of_death = Nov2008 
 2*STD = 2.7961 
 -2*STD = -2.796  Date_of_death = Oct2008 
 2*STD = 2.7962 
 -2*STD = -2.796  Date_of_death = Oct2008 
 2*STD = 2.7962 
 -2*STD = -2.796  Date_of_death = Sep2008 
 2*STD = 2.7963 
 -2*STD = -2.796  Date_of_death = Sep2008 
 2*STD = 2.7963 
 -2*STD = -2.796  Date_of_death = Aug2008 
 2*STD = 2.7963 
 -2*STD = -2.796  Date_of_death = Aug2008 
 2*STD = 2.7963 
 -2*STD = -2.796  Date_of_death = Jul2008 
 2*STD = 2.7964 
 -2*STD = -2.796  Date_of_death = Jul2008 
 2*STD = 2.7964 
 -2*STD = -2.796  Date_of_death = Jun2008 
 2*STD = 2.7965 
 -2*STD = -2.797  Date_of_death = Jun2008 
 2*STD = 2.7965 
 -2*STD = -2.797  Date_of_death = May2008 
 2*STD = 2.7967 
 -2*STD = -2.797  Date_of_death = May2008 
 2*STD = 2.7967 
 -2*STD = -2.797  Date_of_death = Apr2008 
 2*STD = 2.7968 
 -2*STD = -2.797  Date_of_death = Apr2008 
 2*STD = 2.7968 
 -2*STD = -2.797  Date_of_death = Mar2008 
 2*STD = 2.797 
 -2*STD = -2.797  Date_of_death = Mar2008 
 2*STD = 2.797 
 -2*STD = -2.797  Date_of_death = Feb2008 
 2*STD = 2.7972 
 -2*STD = -2.797  Date_of_death = Feb2008 
 2*STD = 2.7972 
 -2*STD = -2.797  Date_of_death = Jan2008 
 2*STD = 2.7973 
 -2*STD = -2.797  Date_of_death = Jan2008 
 2*STD = 2.7973 
 -2*STD = -2.797  Date_of_death = Dec2007 
 2*STD = 2.8142 
 -2*STD = -2.814  Date_of_death = Dec2007 
 2*STD = 2.8142 
 -2*STD = -2.814  Date_of_death = Nov2007 
 2*STD = 2.8143 
 -2*STD = -2.814  Date_of_death = Nov2007 
 2*STD = 2.8143 
 -2*STD = -2.814  Date_of_death = Oct2007 
 2*STD = 2.8143 
 -2*STD = -2.814  Date_of_death = Oct2007 
 2*STD = 2.8143 
 -2*STD = -2.814  Date_of_death = Sep2007 
 2*STD = 2.8144 
 -2*STD = -2.814  Date_of_death = Sep2007 
 2*STD = 2.8144 
 -2*STD = -2.814  Date_of_death = Aug2007 
 2*STD = 2.8145 
 -2*STD = -2.814  Date_of_death = Aug2007 
 2*STD = 2.8145 
 -2*STD = -2.814  Date_of_death = Jul2007 
 2*STD = 2.8146 
 -2*STD = -2.815  Date_of_death = Jul2007 
 2*STD = 2.8146 
 -2*STD = -2.815  Date_of_death = Jun2007 
 2*STD = 2.8147 
 -2*STD = -2.815  Date_of_death = Jun2007 
 2*STD = 2.8147 
 -2*STD = -2.815  Date_of_death = May2007 
 2*STD = 2.8148 
 -2*STD = -2.815  Date_of_death = May2007 
 2*STD = 2.8148 
 -2*STD = -2.815  Date_of_death = Apr2007 
 2*STD = 2.815 
 -2*STD = -2.815  Date_of_death = Apr2007 
 2*STD = 2.815 
 -2*STD = -2.815  Date_of_death = Mar2007 
 2*STD = 2.8152 
 -2*STD = -2.815  Date_of_death = Mar2007 
 2*STD = 2.8152 
 -2*STD = -2.815  Date_of_death = Feb2007 
 2*STD = 2.8155 
 -2*STD = -2.815  Date_of_death = Feb2007 
 2*STD = 2.8155 
 -2*STD = -2.815  Date_of_death = Jan2007 
 2*STD = 2.8156 
 -2*STD = -2.816  Date_of_death = Jan2007 
 2*STD = 2.8156 
 -2*STD = -2.816  Date_of_death = Dec2006 
 2*STD = 2.8388 
 -2*STD = -2.839  Date_of_death = Dec2006 
 2*STD = 2.8388 
 -2*STD = -2.839  Date_of_death = Nov2006 
 2*STD = 2.8388 
 -2*STD = -2.839  Date_of_death = Nov2006 
 2*STD = 2.8388 
 -2*STD = -2.839  Date_of_death = Oct2006 
 2*STD = 2.8389 
 -2*STD = -2.839  Date_of_death = Oct2006 
 2*STD = 2.8389 
 -2*STD = -2.839  Date_of_death = Sep2006 
 2*STD = 2.839 
 -2*STD = -2.839  Date_of_death = Sep2006 
 2*STD = 2.839 
 -2*STD = -2.839  Date_of_death = Aug2006 
 2*STD = 2.8391 
 -2*STD = -2.839  Date_of_death = Aug2006 
 2*STD = 2.8391 
 -2*STD = -2.839  Date_of_death = Jul2006 
 2*STD = 2.8392 
 -2*STD = -2.839  Date_of_death = Jul2006 
 2*STD = 2.8392 
 -2*STD = -2.839  Date_of_death = Jun2006 
 2*STD = 2.8393 
 -2*STD = -2.839  Date_of_death = Jun2006 
 2*STD = 2.8393 
 -2*STD = -2.839  Date_of_death = May2006 
 2*STD = 2.8395 
 -2*STD = -2.84  Date_of_death = May2006 
 2*STD = 2.8395 
 -2*STD = -2.84  Date_of_death = Apr2006 
 2*STD = 2.8397 
 -2*STD = -2.84  Date_of_death = Apr2006 
 2*STD = 2.8397 
 -2*STD = -2.84  Date_of_death = Mar2006 
 2*STD = 2.8399 
 -2*STD = -2.84  Date_of_death = Mar2006 
 2*STD = 2.8399 
 -2*STD = -2.84  Date_of_death = Feb2006 
 2*STD = 2.8402 
 -2*STD = -2.84  Date_of_death = Feb2006 
 2*STD = 2.8402 
 -2*STD = -2.84  Date_of_death = Jan2006 
 2*STD = 2.8404 
 -2*STD = -2.84  Date_of_death = Jan2006 
 2*STD = 2.8404 
 -2*STD = -2.84  Date_of_death = Dec2005 
 2*STD = 2.8737 
 -2*STD = -2.874  Date_of_death = Dec2005 
 2*STD = 2.8737 
 -2*STD = -2.874  Date_of_death = Nov2005 
 2*STD = 2.8737 
 -2*STD = -2.874  Date_of_death = Nov2005 
 2*STD = 2.8737 
 -2*STD = -2.874  Date_of_death = Oct2005 
 2*STD = 2.8738 
 -2*STD = -2.874  Date_of_death = Oct2005 
 2*STD = 2.8738 
 -2*STD = -2.874  Date_of_death = Sep2005 
 2*STD = 2.8739 
 -2*STD = -2.874  Date_of_death = Sep2005 
 2*STD = 2.8739 
 -2*STD = -2.874  Date_of_death = Aug2005 
 2*STD = 2.874 
 -2*STD = -2.874  Date_of_death = Aug2005 
 2*STD = 2.874 
 -2*STD = -2.874  Date_of_death = Jul2005 
 2*STD = 2.8741 
 -2*STD = -2.874  Date_of_death = Jul2005 
 2*STD = 2.8741 
 -2*STD = -2.874  Date_of_death = Jun2005 
 2*STD = 2.8743 
 -2*STD = -2.874  Date_of_death = Jun2005 
 2*STD = 2.8743 
 -2*STD = -2.874  Date_of_death = May2005 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = May2005 
 2*STD = 2.8744 
 -2*STD = -2.874  Date_of_death = Apr2005 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = Apr2005 
 2*STD = 2.8746 
 -2*STD = -2.875  Date_of_death = Mar2005 
 2*STD = 2.8749 
 -2*STD = -2.875  Date_of_death = Mar2005 
 2*STD = 2.8749 
 -2*STD = -2.875  Date_of_death = Feb2005 
 2*STD = 2.8752 
 -2*STD = -2.875  Date_of_death = Feb2005 
 2*STD = 2.8752 
 -2*STD = -2.875  Date_of_death = Jan2005 
 2*STD = 2.8754 
 -2*STD = -2.875  Date_of_death = Jan2005 
 2*STD = 2.8754 
 -2*STD = -2.875  Date_of_death = Dec2004 
 2*STD = 2.9264 
 -2*STD = -2.926  Date_of_death = Dec2004 
 2*STD = 2.9264 
 -2*STD = -2.926  Date_of_death = Nov2004 
 2*STD = 2.9264 
 -2*STD = -2.926  Date_of_death = Nov2004 
 2*STD = 2.9264 
 -2*STD = -2.926  Date_of_death = Oct2004 
 2*STD = 2.9265 
 -2*STD = -2.926  Date_of_death = Oct2004 
 2*STD = 2.9265 
 -2*STD = -2.926  Date_of_death = Sep2004 
 2*STD = 2.9266 
 -2*STD = -2.927  Date_of_death = Sep2004 
 2*STD = 2.9266 
 -2*STD = -2.927  Date_of_death = Aug2004 
 2*STD = 2.9267 
 -2*STD = -2.927  Date_of_death = Aug2004 
 2*STD = 2.9267 
 -2*STD = -2.927  Date_of_death = Jul2004 
 2*STD = 2.9268 
 -2*STD = -2.927  Date_of_death = Jul2004 
 2*STD = 2.9268 
 -2*STD = -2.927  Date_of_death = Jun2004 
 2*STD = 2.927 
 -2*STD = -2.927  Date_of_death = Jun2004 
 2*STD = 2.927 
 -2*STD = -2.927  Date_of_death = May2004 
 2*STD = 2.9271 
 -2*STD = -2.927  Date_of_death = May2004 
 2*STD = 2.9271 
 -2*STD = -2.927  Date_of_death = Apr2004 
 2*STD = 2.9274 
 -2*STD = -2.927  Date_of_death = Apr2004 
 2*STD = 2.9274 
 -2*STD = -2.927  Date_of_death = Mar2004 
 2*STD = 2.9276 
 -2*STD = -2.928  Date_of_death = Mar2004 
 2*STD = 2.9276 
 -2*STD = -2.928  Date_of_death = Feb2004 
 2*STD = 2.9279 
 -2*STD = -2.928  Date_of_death = Feb2004 
 2*STD = 2.9279 
 -2*STD = -2.928  Date_of_death = Jan2004 
 2*STD = 2.9282 
 -2*STD = -2.928  Date_of_death = Jan2004 
 2*STD = 2.9282 
 -2*STD = -2.928  Date_of_death = Dec2003 
 2*STD = 3.0142 
 -2*STD = -3.014  Date_of_death = Dec2003 
 2*STD = 3.0142 
 -2*STD = -3.014  Date_of_death = Nov2003 
 2*STD = 3.0142 
 -2*STD = -3.014  Date_of_death = Nov2003 
 2*STD = 3.0142 
 -2*STD = -3.014  Date_of_death = Oct2003 
 2*STD = 3.0143 
 -2*STD = -3.014  Date_of_death = Oct2003 
 2*STD = 3.0143 
 -2*STD = -3.014  Date_of_death = Sep2003 
 2*STD = 3.0143 
 -2*STD = -3.014  Date_of_death = Sep2003 
 2*STD = 3.0143 
 -2*STD = -3.014  Date_of_death = Aug2003 
 2*STD = 3.0144 
 -2*STD = -3.014  Date_of_death = Aug2003 
 2*STD = 3.0144 
 -2*STD = -3.014  Date_of_death = Jul2003 
 2*STD = 3.0145 
 -2*STD = -3.015  Date_of_death = Jul2003 
 2*STD = 3.0145 
 -2*STD = -3.015  Date_of_death = Jun2003 
 2*STD = 3.0147 
 -2*STD = -3.015  Date_of_death = Jun2003 
 2*STD = 3.0147 
 -2*STD = -3.015  Date_of_death = May2003 
 2*STD = 3.0149 
 -2*STD = -3.015  Date_of_death = May2003 
 2*STD = 3.0149 
 -2*STD = -3.015  Date_of_death = Apr2003 
 2*STD = 3.0151 
 -2*STD = -3.015  Date_of_death = Apr2003 
 2*STD = 3.0151 
 -2*STD = -3.015  Date_of_death = Mar2003 
 2*STD = 3.0153 
 -2*STD = -3.015  Date_of_death = Mar2003 
 2*STD = 3.0153 
 -2*STD = -3.015  Date_of_death = Feb2003 
 2*STD = 3.0156 
 -2*STD = -3.016  Date_of_death = Feb2003 
 2*STD = 3.0156 
 -2*STD = -3.016  Date_of_death = Jan2003 
 2*STD = 3.0159 
 -2*STD = -3.016  Date_of_death = Jan2003 
 2*STD = 3.0159 
 -2*STD = -3.016  Date_of_death = Dec2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Dec2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Nov2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Nov2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Oct2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Oct2002 
 2*STD = 3.1865 
 -2*STD = -3.187  Date_of_death = Sep2002 
 2*STD = 3.1866 
 -2*STD = -3.187  Date_of_death = Sep2002 
 2*STD = 3.1866 
 -2*STD = -3.187  Date_of_death = Aug2002 
 2*STD = 3.1867 
 -2*STD = -3.187  Date_of_death = Aug2002 
 2*STD = 3.1867 
 -2*STD = -3.187  Date_of_death = Jul2002 
 2*STD = 3.1867 
 -2*STD = -3.187  Date_of_death = Jul2002 
 2*STD = 3.1867 
 -2*STD = -3.187  Date_of_death = Jun2002 
 2*STD = 3.1868 
 -2*STD = -3.187  Date_of_death = Jun2002 
 2*STD = 3.1868 
 -2*STD = -3.187  Date_of_death = May2002 
 2*STD = 3.187 
 -2*STD = -3.187  Date_of_death = May2002 
 2*STD = 3.187 
 -2*STD = -3.187  Date_of_death = Apr2002 
 2*STD = 3.1871 
 -2*STD = -3.187  Date_of_death = Apr2002 
 2*STD = 3.1871 
 -2*STD = -3.187  Date_of_death = Mar2002 
 2*STD = 3.1873 
 -2*STD = -3.187  Date_of_death = Mar2002 
 2*STD = 3.1873 
 -2*STD = -3.187  Date_of_death = Feb2002 
 2*STD = 3.1876 
 -2*STD = -3.188  Date_of_death = Feb2002 
 2*STD = 3.1876 
 -2*STD = -3.188  Date_of_death = Jan2002 
 2*STD = 3.1878 
 -2*STD = -3.188  Date_of_death = Jan2002 
 2*STD = 3.1878 
 -2*STD = -3.188  Date_of_death = Dec2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Dec2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Nov2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Nov2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Oct2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Oct2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Sep2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Sep2001 
 2*STD = 3.6649 
 -2*STD = -3.665  Date_of_death = Aug2001 
 2*STD = 3.665 
 -2*STD = -3.665  Date_of_death = Aug2001 
 2*STD = 3.665 
 -2*STD = -3.665  Date_of_death = Jul2001 
 2*STD = 3.665 
 -2*STD = -3.665  Date_of_death = Jul2001 
 2*STD = 3.665 
 -2*STD = -3.665  Date_of_death = Jun2001 
 2*STD = 3.6651 
 -2*STD = -3.665  Date_of_death = Jun2001 
 2*STD = 3.6651 
 -2*STD = -3.665  Date_of_death = May2001 
 2*STD = 3.6651 
 -2*STD = -3.665  Date_of_death = May2001 
 2*STD = 3.6651 
 -2*STD = -3.665  Date_of_death = Apr2001 
 2*STD = 3.6652 
 -2*STD = -3.665  Date_of_death = Apr2001 
 2*STD = 3.6652 
 -2*STD = -3.665  Date_of_death = Mar2001 
 2*STD = 3.6654 
 -2*STD = -3.665  Date_of_death = Mar2001 
 2*STD = 3.6654 
 -2*STD = -3.665  Date_of_death = Feb2001 
 2*STD = 3.6656 
 -2*STD = -3.666  Date_of_death = Feb2001 
 2*STD = 3.6656 
 -2*STD = -3.666  Date_of_death = Jan2001 
 2*STD = 3.6657 
 -2*STD = -3.666  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
239 NOV2019 2.154940 1.36573 -0.521833 4.831714
240 DEC2019 1.956273 1.36619 -0.721405 4.633951
241 JAN2020 1.779653 1.36641 -0.898452 4.457758
242 FEB2020 1.521184 1.36741 -1.158888 4.201257
243 MAR2020 1.597941 1.36840 -1.084071 4.279953
244 APR2020 1.926550 1.36938 -0.757380 4.610479
245 MAY2020 2.094934 1.37035 -0.590895 4.780764
246 JUN2020 2.331388 1.37131 -0.356324 5.019101
247 JUL2020 1.951307 1.37226 -0.738271 4.640885
248 AUG2020 2.241881 1.37320 -0.449541 4.933303
249 SEP2020 2.664584 1.37410 -0.028604 5.357771
250 OCT2020 2.090039 1.37452 -0.603963 4.784042

Forecasts Only Plot

 Date_of_death = Oct2020 
 Forecast = 2.0900  Date_of_death = Sep2020 
 Forecast = 2.6646  Date_of_death = Sep2020 
 Forecast = 2.6646  Date_of_death = Aug2020 
 Forecast = 2.2419  Date_of_death = Aug2020 
 Forecast = 2.2419  Date_of_death = Jul2020 
 Forecast = 1.9513  Date_of_death = Jul2020 
 Forecast = 1.9513  Date_of_death = Jun2020 
 Forecast = 2.3314  Date_of_death = Jun2020 
 Forecast = 2.3314  Date_of_death = May2020 
 Forecast = 2.0949  Date_of_death = May2020 
 Forecast = 2.0949  Date_of_death = Apr2020 
 Forecast = 1.9265  Date_of_death = Apr2020 
 Forecast = 1.9265  Date_of_death = Mar2020 
 Forecast = 1.5979  Date_of_death = Mar2020 
 Forecast = 1.5979  Date_of_death = Feb2020 
 Forecast = 1.5212  Date_of_death = Feb2020 
 Forecast = 1.5212  Date_of_death = Jan2020 
 Forecast = 1.7797  Date_of_death = Jan2020 
 Forecast = 1.7797  Date_of_death = Dec2019 
 Forecast = 1.9563  Date_of_death = Dec2019 
 Forecast = 1.9563  Date_of_death = Nov2019 
 Forecast = 2.1549  Date_of_death = Oct2020 
 Upper 95% = 4.7840 
 Lower 95% = -0.6040  Date_of_death = Sep2020 
 Upper 95% = 5.3578 
 Lower 95% = -0.0286  Date_of_death = Sep2020 
 Upper 95% = 5.3578 
 Lower 95% = -0.0286  Date_of_death = Aug2020 
 Upper 95% = 4.9333 
 Lower 95% = -0.4495  Date_of_death = Aug2020 
 Upper 95% = 4.9333 
 Lower 95% = -0.4495  Date_of_death = Jul2020 
 Upper 95% = 4.6409 
 Lower 95% = -0.7383  Date_of_death = Jul2020 
 Upper 95% = 4.6409 
 Lower 95% = -0.7383  Date_of_death = Jun2020 
 Upper 95% = 5.0191 
 Lower 95% = -0.3563  Date_of_death = Jun2020 
 Upper 95% = 5.0191 
 Lower 95% = -0.3563  Date_of_death = May2020 
 Upper 95% = 4.7808 
 Lower 95% = -0.5909  Date_of_death = May2020 
 Upper 95% = 4.7808 
 Lower 95% = -0.5909  Date_of_death = Apr2020 
 Upper 95% = 4.6105 
 Lower 95% = -0.7574  Date_of_death = Apr2020 
 Upper 95% = 4.6105 
 Lower 95% = -0.7574  Date_of_death = Mar2020 
 Upper 95% = 4.2800 
 Lower 95% = -1.0841  Date_of_death = Mar2020 
 Upper 95% = 4.2800 
 Lower 95% = -1.0841  Date_of_death = Feb2020 
 Upper 95% = 4.2013 
 Lower 95% = -1.1589  Date_of_death = Feb2020 
 Upper 95% = 4.2013 
 Lower 95% = -1.1589  Date_of_death = Jan2020 
 Upper 95% = 4.4578 
 Lower 95% = -0.8985  Date_of_death = Jan2020 
 Upper 95% = 4.4578 
 Lower 95% = -0.8985  Date_of_death = Dec2019 
 Upper 95% = 4.6340 
 Lower 95% = -0.7214  Date_of_death = Dec2019 
 Upper 95% = 4.6340 
 Lower 95% = -0.7214  Date_of_death = Nov2019 
 Upper 95% = 4.8317 
 Lower 95% = -0.5218
Forecast Only Plot

Forecasts Plot

 X = 21823  Date_of_death = Oct2020 
 Forecast = 2.0900  Date_of_death = Sep2020 
 Forecast = 2.6646  Date_of_death = Sep2020 
 Forecast = 2.6646  Date_of_death = Aug2020 
 Forecast = 2.2419  Date_of_death = Aug2020 
 Forecast = 2.2419  Date_of_death = Jul2020 
 Forecast = 1.9513  Date_of_death = Jul2020 
 Forecast = 1.9513  Date_of_death = Jun2020 
 Forecast = 2.3314  Date_of_death = Jun2020 
 Forecast = 2.3314  Date_of_death = May2020 
 Forecast = 2.0949  Date_of_death = May2020 
 Forecast = 2.0949  Date_of_death = Apr2020 
 Forecast = 1.9265  Date_of_death = Apr2020 
 Forecast = 1.9265  Date_of_death = Mar2020 
 Forecast = 1.5979  Date_of_death = Mar2020 
 Forecast = 1.5979  Date_of_death = Feb2020 
 Forecast = 1.5212  Date_of_death = Feb2020 
 Forecast = 1.5212  Date_of_death = Jan2020 
 Forecast = 1.7797  Date_of_death = Jan2020 
 Forecast = 1.7797  Date_of_death = Dec2019 
 Forecast = 1.9563  Date_of_death = Dec2019 
 Forecast = 1.9563  Date_of_death = Nov2019 
 Forecast = 2.1549  Date_of_death = Nov2019 
 Forecast = 2.1549  Date_of_death = Oct2019 
 Forecast = 2.2278  Date_of_death = Oct2019 
 Forecast = 2.2278  Date_of_death = Sep2019 
 Forecast = 2.7831  Date_of_death = Sep2019 
 Forecast = 2.7831  Date_of_death = Aug2019 
 Forecast = 2.0921  Date_of_death = Aug2019 
 Forecast = 2.0921  Date_of_death = Jul2019 
 Forecast = 1.9755  Date_of_death = Jul2019 
 Forecast = 1.9755  Date_of_death = Jun2019 
 Forecast = 2.5054  Date_of_death = Jun2019 
 Forecast = 2.5054  Date_of_death = May2019 
 Forecast = 2.2798  Date_of_death = May2019 
 Forecast = 2.2798  Date_of_death = Apr2019 
 Forecast = 2.1458  Date_of_death = Apr2019 
 Forecast = 2.1458  Date_of_death = Mar2019 
 Forecast = 1.8261  Date_of_death = Mar2019 
 Forecast = 1.8261  Date_of_death = Feb2019 
 Forecast = 1.7795  Date_of_death = Feb2019 
 Forecast = 1.7795  Date_of_death = Jan2019 
 Forecast = 1.7252  Date_of_death = Jan2019 
 Forecast = 1.7252  Date_of_death = Dec2018 
 Forecast = 2.2515  Date_of_death = Dec2018 
 Forecast = 2.2515  Date_of_death = Nov2018 
 Forecast = 2.0820  Date_of_death = Nov2018 
 Forecast = 2.0820  Date_of_death = Oct2018 
 Forecast = 2.4634  Date_of_death = Oct2018 
 Forecast = 2.4634  Date_of_death = Sep2018 
 Forecast = 3.1108  Date_of_death = Sep2018 
 Forecast = 3.1108  Date_of_death = Aug2018 
 Forecast = 2.3366  Date_of_death = Aug2018 
 Forecast = 2.3366  Date_of_death = Jul2018 
 Forecast = 2.2226  Date_of_death = Jul2018 
 Forecast = 2.2226  Date_of_death = Jun2018 
 Forecast = 2.8991  Date_of_death = Jun2018 
 Forecast = 2.8991  Date_of_death = May2018 
 Forecast = 2.6486  Date_of_death = May2018 
 Forecast = 2.6486  Date_of_death = Apr2018 
 Forecast = 2.3955  Date_of_death = Apr2018 
 Forecast = 2.3955  Date_of_death = Mar2018 
 Forecast = 2.1635  Date_of_death = Mar2018 
 Forecast = 2.1635  Date_of_death = Feb2018 
 Forecast = 2.1584  Date_of_death = Feb2018 
 Forecast = 2.1584  Date_of_death = Jan2018 
 Forecast = 1.8133  Date_of_death = Jan2018 
 Forecast = 1.8133  Date_of_death = Dec2017 
 Forecast = 2.7350  Date_of_death = Dec2017 
 Forecast = 2.7350  Date_of_death = Nov2017 
 Forecast = 2.6049  Date_of_death = Nov2017 
 Forecast = 2.6049  Date_of_death = Oct2017 
 Forecast = 2.6417  Date_of_death = Oct2017 
 Forecast = 2.6417  Date_of_death = Sep2017 
 Forecast = 3.2892  Date_of_death = Sep2017 
 Forecast = 3.2892  Date_of_death = Aug2017 
 Forecast = 2.3660  Date_of_death = Aug2017 
 Forecast = 2.3660  Date_of_death = Jul2017 
 Forecast = 2.5401  Date_of_death = Jul2017 
 Forecast = 2.5401  Date_of_death = Jun2017 
 Forecast = 3.2503  Date_of_death = Jun2017 
 Forecast = 3.2503  Date_of_death = May2017 
 Forecast = 2.9946  Date_of_death = May2017 
 Forecast = 2.9946  Date_of_death = Apr2017 
 Forecast = 2.7669  Date_of_death = Apr2017 
 Forecast = 2.7669  Date_of_death = Mar2017 
 Forecast = 2.1421  Date_of_death = Mar2017 
 Forecast = 2.1421  Date_of_death = Feb2017 
 Forecast = 2.4907  Date_of_death = Feb2017 
 Forecast = 2.4907  Date_of_death = Jan2017 
 Forecast = 2.0351  Date_of_death = Jan2017 
 Forecast = 2.0351  Date_of_death = Dec2016 
 Forecast = 2.7603  Date_of_death = Dec2016 
 Forecast = 2.7603  Date_of_death = Nov2016 
 Forecast = 2.5488  Date_of_death = Nov2016 
 Forecast = 2.5488  Date_of_death = Oct2016 
 Forecast = 2.5858  Date_of_death = Oct2016 
 Forecast = 2.5858  Date_of_death = Sep2016 
 Forecast = 3.7001  Date_of_death = Sep2016 
 Forecast = 3.7001  Date_of_death = Aug2016 
 Forecast = 2.7442  Date_of_death = Aug2016 
 Forecast = 2.7442  Date_of_death = Jul2016 
 Forecast = 2.6825  Date_of_death = Jul2016 
 Forecast = 2.6825  Date_of_death = Jun2016 
 Forecast = 3.2738  Date_of_death = Jun2016 
 Forecast = 3.2738  Date_of_death = May2016 
 Forecast = 2.8791  Date_of_death = May2016 
 Forecast = 2.8791  Date_of_death = Apr2016 
 Forecast = 2.5499  Date_of_death = Apr2016 
 Forecast = 2.5499  Date_of_death = Mar2016 
 Forecast = 1.9565  Date_of_death = Mar2016 
 Forecast = 1.9565  Date_of_death = Feb2016 
 Forecast = 2.1254  Date_of_death = Feb2016 
 Forecast = 2.1254  Date_of_death = Jan2016 
 Forecast = 1.9541  Date_of_death = Jan2016 
 Forecast = 1.9541  Date_of_death = Dec2015 
 Forecast = 2.7057  Date_of_death = Dec2015 
 Forecast = 2.7057  Date_of_death = Nov2015 
 Forecast = 2.4208  Date_of_death = Nov2015 
 Forecast = 2.4208  Date_of_death = Oct2015 
 Forecast = 2.4631  Date_of_death = Oct2015 
 Forecast = 2.4631  Date_of_death = Sep2015 
 Forecast = 3.4670  Date_of_death = Sep2015 
 Forecast = 3.4670  Date_of_death = Aug2015 
 Forecast = 2.7154  Date_of_death = Aug2015 
 Forecast = 2.7154  Date_of_death = Jul2015 
 Forecast = 2.7063  Date_of_death = Jul2015 
 Forecast = 2.7063  Date_of_death = Jun2015 
 Forecast = 3.0760  Date_of_death = Jun2015 
 Forecast = 3.0760  Date_of_death = May2015 
 Forecast = 2.6730  Date_of_death = May2015 
 Forecast = 2.6730  Date_of_death = Apr2015 
 Forecast = 2.7145  Date_of_death = Apr2015 
 Forecast = 2.7145  Date_of_death = Mar2015 
 Forecast = 1.9947  Date_of_death = Mar2015 
 Forecast = 1.9947  Date_of_death = Feb2015 
 Forecast = 2.1155  Date_of_death = Feb2015 
 Forecast = 2.1155  Date_of_death = Jan2015 
 Forecast = 1.7236  Date_of_death = Jan2015 
 Forecast = 1.7236  Date_of_death = Dec2014 
 Forecast = 2.4825  Date_of_death = Dec2014 
 Forecast = 2.4825  Date_of_death = Nov2014 
 Forecast = 2.5277  Date_of_death = Nov2014 
 Forecast = 2.5277  Date_of_death = Oct2014 
 Forecast = 2.4865  Date_of_death = Oct2014 
 Forecast = 2.4865  Date_of_death = Sep2014 
 Forecast = 3.3777  Date_of_death = Sep2014 
 Forecast = 3.3777  Date_of_death = Aug2014 
 Forecast = 2.8518  Date_of_death = Aug2014 
 Forecast = 2.8518  Date_of_death = Jul2014 
 Forecast = 2.4319  Date_of_death = Jul2014 
 Forecast = 2.4319  Date_of_death = Jun2014 
 Forecast = 3.0081  Date_of_death = Jun2014 
 Forecast = 3.0081  Date_of_death = May2014 
 Forecast = 2.8306  Date_of_death = May2014 
 Forecast = 2.8306  Date_of_death = Apr2014 
 Forecast = 2.4623  Date_of_death = Apr2014 
 Forecast = 2.4623  Date_of_death = Mar2014 
 Forecast = 2.0438  Date_of_death = Mar2014 
 Forecast = 2.0438  Date_of_death = Feb2014 
 Forecast = 1.8348  Date_of_death = Feb2014 
 Forecast = 1.8348  Date_of_death = Jan2014 
 Forecast = 1.8392  Date_of_death = Jan2014 
 Forecast = 1.8392  Date_of_death = Dec2013 
 Forecast = 2.3138  Date_of_death = Dec2013 
 Forecast = 2.3138  Date_of_death = Nov2013 
 Forecast = 2.5558  Date_of_death = Nov2013 
 Forecast = 2.5558  Date_of_death = Oct2013 
 Forecast = 2.2149  Date_of_death = Oct2013 
 Forecast = 2.2149  Date_of_death = Sep2013 
 Forecast = 3.1842  Date_of_death = Sep2013 
 Forecast = 3.1842  Date_of_death = Aug2013 
 Forecast = 2.5009  Date_of_death = Aug2013 
 Forecast = 2.5009  Date_of_death = Jul2013 
 Forecast = 2.0156  Date_of_death = Jul2013 
 Forecast = 2.0156  Date_of_death = Jun2013 
 Forecast = 3.0049  Date_of_death = Jun2013 
 Forecast = 3.0049  Date_of_death = May2013 
 Forecast = 2.7983  Date_of_death = May2013 
 Forecast = 2.7983  Date_of_death = Apr2013 
 Forecast = 2.4851  Date_of_death = Apr2013 
 Forecast = 2.4851  Date_of_death = Mar2013 
 Forecast = 1.9177  Date_of_death = Mar2013 
 Forecast = 1.9177  Date_of_death = Feb2013 
 Forecast = 1.8928  Date_of_death = Feb2013 
 Forecast = 1.8928  Date_of_death = Jan2013 
 Forecast = 1.4879  Date_of_death = Jan2013 
 Forecast = 1.4879  Date_of_death = Dec2012 
 Forecast = 2.2979  Date_of_death = Dec2012 
 Forecast = 2.2979  Date_of_death = Nov2012 
 Forecast = 2.5613  Date_of_death = Nov2012 
 Forecast = 2.5613  Date_of_death = Oct2012 
 Forecast = 1.9599  Date_of_death = Oct2012 
 Forecast = 1.9599  Date_of_death = Sep2012 
 Forecast = 3.0596  Date_of_death = Sep2012 
 Forecast = 3.0596  Date_of_death = Aug2012 
 Forecast = 2.5908  Date_of_death = Aug2012 
 Forecast = 2.5908  Date_of_death = Jul2012 
 Forecast = 2.0825  Date_of_death = Jul2012 
 Forecast = 2.0825  Date_of_death = Jun2012 
 Forecast = 2.8484  Date_of_death = Jun2012 
 Forecast = 2.8484  Date_of_death = May2012 
 Forecast = 2.5054  Date_of_death = May2012 
 Forecast = 2.5054  Date_of_death = Apr2012 
 Forecast = 2.0437  Date_of_death = Apr2012 
 Forecast = 2.0437  Date_of_death = Mar2012 
 Forecast = 1.7536  Date_of_death = Mar2012 
 Forecast = 1.7536  Date_of_death = Feb2012 
 Forecast = 1.7248  Date_of_death = Feb2012 
 Forecast = 1.7248  Date_of_death = Jan2012 
 Forecast = 1.3632  Date_of_death = Jan2012 
 Forecast = 1.3632  Date_of_death = Dec2011 
 Forecast = 1.8444  Date_of_death = Dec2011 
 Forecast = 1.8444  Date_of_death = Nov2011 
 Forecast = 2.5480  Date_of_death = Nov2011 
 Forecast = 2.5480  Date_of_death = Oct2011 
 Forecast = 1.9532  Date_of_death = Oct2011 
 Forecast = 1.9532  Date_of_death = Sep2011 
 Forecast = 2.8268  Date_of_death = Sep2011 
 Forecast = 2.8268  Date_of_death = Aug2011 
 Forecast = 2.2407  Date_of_death = Aug2011 
 Forecast = 2.2407  Date_of_death = Jul2011 
 Forecast = 1.6011  Date_of_death = Jul2011 
 Forecast = 1.6011  Date_of_death = Jun2011 
 Forecast = 2.7536  Date_of_death = Jun2011 
 Forecast = 2.7536  Date_of_death = May2011 
 Forecast = 2.4243  Date_of_death = May2011 
 Forecast = 2.4243  Date_of_death = Apr2011 
 Forecast = 2.1172  Date_of_death = Apr2011 
 Forecast = 2.1172  Date_of_death = Mar2011 
 Forecast = 1.3284  Date_of_death = Mar2011 
 Forecast = 1.3284  Date_of_death = Feb2011 
 Forecast = 1.6577  Date_of_death = Feb2011 
 Forecast = 1.6577  Date_of_death = Jan2011 
 Forecast = 1.2446  Date_of_death = Jan2011 
 Forecast = 1.2446  Date_of_death = Dec2010 
 Forecast = 1.5515  Date_of_death = Dec2010 
 Forecast = 1.5515  Date_of_death = Nov2010 
 Forecast = 2.5874  Date_of_death = Nov2010 
 Forecast = 2.5874  Date_of_death = Oct2010 
 Forecast = 1.9113  Date_of_death = Oct2010 
 Forecast = 1.9113  Date_of_death = Sep2010 
 Forecast = 2.5379  Date_of_death = Sep2010 
 Forecast = 2.5379  Date_of_death = Aug2010 
 Forecast = 2.3812  Date_of_death = Aug2010 
 Forecast = 2.3812  Date_of_death = Jul2010 
 Forecast = 1.7371  Date_of_death = Jul2010 
 Forecast = 1.7371  Date_of_death = Jun2010 
 Forecast = 3.0789  Date_of_death = Jun2010 
 Forecast = 3.0789  Date_of_death = May2010 
 Forecast = 2.7411  Date_of_death = May2010 
 Forecast = 2.7411  Date_of_death = Apr2010 
 Forecast = 1.9638  Date_of_death = Apr2010 
 Forecast = 1.9638  Date_of_death = Mar2010 
 Forecast = 1.5653  Date_of_death = Mar2010 
 Forecast = 1.5653  Date_of_death = Feb2010 
 Forecast = 1.7654  Date_of_death = Feb2010 
 Forecast = 1.7654  Date_of_death = Jan2010 
 Forecast = 1.4504  Date_of_death = Jan2010 
 Forecast = 1.4504  Date_of_death = Dec2009 
 Forecast = 1.8545  Date_of_death = Dec2009 
 Forecast = 1.8545  Date_of_death = Nov2009 
 Forecast = 2.5301  Date_of_death = Nov2009 
 Forecast = 2.5301  Date_of_death = Oct2009 
 Forecast = 2.1956  Date_of_death = Oct2009 
 Forecast = 2.1956  Date_of_death = Sep2009 
 Forecast = 2.9877  Date_of_death = Sep2009 
 Forecast = 2.9877  Date_of_death = Aug2009 
 Forecast = 2.8219  Date_of_death = Aug2009 
 Forecast = 2.8219  Date_of_death = Jul2009 
 Forecast = 1.5900  Date_of_death = Jul2009 
 Forecast = 1.5900  Date_of_death = Jun2009 
 Forecast = 3.3598  Date_of_death = Jun2009 
 Forecast = 3.3598  Date_of_death = May2009 
 Forecast = 2.7803  Date_of_death = May2009 
 Forecast = 2.7803  Date_of_death = Apr2009 
 Forecast = 2.2757  Date_of_death = Apr2009 
 Forecast = 2.2757  Date_of_death = Mar2009 
 Forecast = 1.6617  Date_of_death = Mar2009 
 Forecast = 1.6617  Date_of_death = Feb2009 
 Forecast = 2.0702  Date_of_death = Feb2009 
 Forecast = 2.0702  Date_of_death = Jan2009 
 Forecast = 1.7108  Date_of_death = Jan2009 
 Forecast = 1.7108  Date_of_death = Dec2008 
 Forecast = 2.2058  Date_of_death = Dec2008 
 Forecast = 2.2058  Date_of_death = Nov2008 
 Forecast = 2.5416  Date_of_death = Nov2008 
 Forecast = 2.5416  Date_of_death = Oct2008 
 Forecast = 2.0609  Date_of_death = Oct2008 
 Forecast = 2.0609  Date_of_death = Sep2008 
 Forecast = 2.8528  Date_of_death = Sep2008 
 Forecast = 2.8528  Date_of_death = Aug2008 
 Forecast = 2.9329  Date_of_death = Aug2008 
 Forecast = 2.9329  Date_of_death = Jul2008 
 Forecast = 1.7446  Date_of_death = Jul2008 
 Forecast = 1.7446  Date_of_death = Jun2008 
 Forecast = 3.2779  Date_of_death = Jun2008 
 Forecast = 3.2779  Date_of_death = May2008 
 Forecast = 2.5748  Date_of_death = May2008 
 Forecast = 2.5748  Date_of_death = Apr2008 
 Forecast = 2.0743  Date_of_death = Apr2008 
 Forecast = 2.0743  Date_of_death = Mar2008 
 Forecast = 1.6754  Date_of_death = Mar2008 
 Forecast = 1.6754  Date_of_death = Feb2008 
 Forecast = 2.1286  Date_of_death = Feb2008 
 Forecast = 2.1286  Date_of_death = Jan2008 
 Forecast = 1.5262  Date_of_death = Jan2008 
 Forecast = 1.5262  Date_of_death = Dec2007 
 Forecast = 2.2758  Date_of_death = Dec2007 
 Forecast = 2.2758  Date_of_death = Nov2007 
 Forecast = 2.5747  Date_of_death = Nov2007 
 Forecast = 2.5747  Date_of_death = Oct2007 
 Forecast = 2.0948  Date_of_death = Oct2007 
 Forecast = 2.0948  Date_of_death = Sep2007 
 Forecast = 3.0784  Date_of_death = Sep2007 
 Forecast = 3.0784  Date_of_death = Aug2007 
 Forecast = 3.3661  Date_of_death = Aug2007 
 Forecast = 3.3661  Date_of_death = Jul2007 
 Forecast = 2.0008  Date_of_death = Jul2007 
 Forecast = 2.0008  Date_of_death = Jun2007 
 Forecast = 3.5222  Date_of_death = Jun2007 
 Forecast = 3.5222  Date_of_death = May2007 
 Forecast = 2.5626  Date_of_death = May2007 
 Forecast = 2.5626  Date_of_death = Apr2007 
 Forecast = 2.3474  Date_of_death = Apr2007 
 Forecast = 2.3474  Date_of_death = Mar2007 
 Forecast = 1.4504  Date_of_death = Mar2007 
 Forecast = 1.4504  Date_of_death = Feb2007 
 Forecast = 2.4800  Date_of_death = Feb2007 
 Forecast = 2.4800  Date_of_death = Jan2007 
 Forecast = 1.7944  Date_of_death = Jan2007 
 Forecast = 1.7944  Date_of_death = Dec2006 
 Forecast = 2.4876  Date_of_death = Dec2006 
 Forecast = 2.4876  Date_of_death = Nov2006 
 Forecast = 3.0689  Date_of_death = Nov2006 
 Forecast = 3.0689  Date_of_death = Oct2006 
 Forecast = 2.5356  Date_of_death = Oct2006 
 Forecast = 2.5356  Date_of_death = Sep2006 
 Forecast = 3.0868  Date_of_death = Sep2006 
 Forecast = 3.0868  Date_of_death = Aug2006 
 Forecast = 3.3397  Date_of_death = Aug2006 
 Forecast = 3.3397  Date_of_death = Jul2006 
 Forecast = 2.0548  Date_of_death = Jul2006 
 Forecast = 2.0548  Date_of_death = Jun2006 
 Forecast = 3.8983  Date_of_death = Jun2006 
 Forecast = 3.8983  Date_of_death = May2006 
 Forecast = 2.3941  Date_of_death = May2006 
 Forecast = 2.3941  Date_of_death = Apr2006 
 Forecast = 2.5411  Date_of_death = Apr2006 
 Forecast = 2.5411  Date_of_death = Mar2006 
 Forecast = 1.7488  Date_of_death = Mar2006 
 Forecast = 1.7488  Date_of_death = Feb2006 
 Forecast = 2.9749  Date_of_death = Feb2006 
 Forecast = 2.9749  Date_of_death = Jan2006 
 Forecast = 2.1726  Date_of_death = Jan2006 
 Forecast = 2.1726  Date_of_death = Dec2005 
 Forecast = 2.8253  Date_of_death = Dec2005 
 Forecast = 2.8253  Date_of_death = Nov2005 
 Forecast = 3.0121  Date_of_death = Nov2005 
 Forecast = 3.0121  Date_of_death = Oct2005 
 Forecast = 3.0261  Date_of_death = Oct2005 
 Forecast = 3.0261  Date_of_death = Sep2005 
 Forecast = 3.0564  Date_of_death = Sep2005 
 Forecast = 3.0564  Date_of_death = Aug2005 
 Forecast = 3.6284  Date_of_death = Aug2005 
 Forecast = 3.6284  Date_of_death = Jul2005 
 Forecast = 2.5225  Date_of_death = Jul2005 
 Forecast = 2.5225  Date_of_death = Jun2005 
 Forecast = 4.0753  Date_of_death = Jun2005 
 Forecast = 4.0753  Date_of_death = May2005 
 Forecast = 2.2608  Date_of_death = May2005 
 Forecast = 2.2608  Date_of_death = Apr2005 
 Forecast = 2.3808  Date_of_death = Apr2005 
 Forecast = 2.3808  Date_of_death = Mar2005 
 Forecast = 2.0508  Date_of_death = Mar2005 
 Forecast = 2.0508  Date_of_death = Feb2005 
 Forecast = 2.7865  Date_of_death = Feb2005 
 Forecast = 2.7865  Date_of_death = Jan2005 
 Forecast = 2.2108  Date_of_death = Jan2005 
 Forecast = 2.2108  Date_of_death = Dec2004 
 Forecast = 2.4591  Date_of_death = Dec2004 
 Forecast = 2.4591  Date_of_death = Nov2004 
 Forecast = 2.6839  Date_of_death = Nov2004 
 Forecast = 2.6839  Date_of_death = Oct2004 
 Forecast = 3.4841  Date_of_death = Oct2004 
 Forecast = 3.4841  Date_of_death = Sep2004 
 Forecast = 2.7211  Date_of_death = Sep2004 
 Forecast = 2.7211  Date_of_death = Aug2004 
 Forecast = 3.9962  Date_of_death = Aug2004 
 Forecast = 3.9962  Date_of_death = Jul2004 
 Forecast = 1.9712  Date_of_death = Jul2004 
 Forecast = 1.9712  Date_of_death = Jun2004 
 Forecast = 3.9432  Date_of_death = Jun2004 
 Forecast = 3.9432  Date_of_death = May2004 
 Forecast = 1.6482  Date_of_death = May2004 
 Forecast = 1.6482  Date_of_death = Apr2004 
 Forecast = 2.6712  Date_of_death = Apr2004 
 Forecast = 2.6712  Date_of_death = Mar2004 
 Forecast = 1.9522  Date_of_death = Mar2004 
 Forecast = 1.9522  Date_of_death = Feb2004 
 Forecast = 2.6514  Date_of_death = Feb2004 
 Forecast = 2.6514  Date_of_death = Jan2004 
 Forecast = 2.1910  Date_of_death = Jan2004 
 Forecast = 2.1910  Date_of_death = Dec2003 
 Forecast = 2.9750  Date_of_death = Dec2003 
 Forecast = 2.9750  Date_of_death = Nov2003 
 Forecast = 2.9804  Date_of_death = Nov2003 
 Forecast = 2.9804  Date_of_death = Oct2003 
 Forecast = 4.0357  Date_of_death = Oct2003 
 Forecast = 4.0357  Date_of_death = Sep2003 
 Forecast = 3.0642  Date_of_death = Sep2003 
 Forecast = 3.0642  Date_of_death = Aug2003 
 Forecast = 4.0490  Date_of_death = Aug2003 
 Forecast = 4.0490  Date_of_death = Jul2003 
 Forecast = 1.3400  Date_of_death = Jul2003 
 Forecast = 1.3400  Date_of_death = Jun2003 
 Forecast = 4.0070  Date_of_death = Jun2003 
 Forecast = 4.0070  Date_of_death = May2003 
 Forecast = 2.0341  Date_of_death = May2003 
 Forecast = 2.0341  Date_of_death = Apr2003 
 Forecast = 3.0393  Date_of_death = Apr2003 
 Forecast = 3.0393  Date_of_death = Mar2003 
 Forecast = 1.3387  Date_of_death = Mar2003 
 Forecast = 1.3387  Date_of_death = Feb2003 
 Forecast = 3.0042  Date_of_death = Feb2003 
 Forecast = 3.0042  Date_of_death = Jan2003 
 Forecast = 1.6276  Date_of_death = Jan2003 
 Forecast = 1.6276  Date_of_death = Dec2002 
 Forecast = 2.4461  Date_of_death = Dec2002 
 Forecast = 2.4461  Date_of_death = Nov2002 
 Forecast = 3.9828  Date_of_death = Nov2002 
 Forecast = 3.9828  Date_of_death = Oct2002 
 Forecast = 3.9790  Date_of_death = Oct2002 
 Forecast = 3.9790  Date_of_death = Sep2002 
 Forecast = 2.4603  Date_of_death = Sep2002 
 Forecast = 2.4603  Date_of_death = Aug2002 
 Forecast = 3.9501  Date_of_death = Aug2002 
 Forecast = 3.9501  Date_of_death = Jul2002 
 Forecast = 0.9336  Date_of_death = Jul2002 
 Forecast = 0.9336  Date_of_death = Jun2002 
 Forecast = 3.9310  Date_of_death = Jun2002 
 Forecast = 3.9310  Date_of_death = May2002 
 Forecast = 2.4629  Date_of_death = May2002 
 Forecast = 2.4629  Date_of_death = Apr2002 
 Forecast = 4.0038  Date_of_death = Apr2002 
 Forecast = 4.0038  Date_of_death = Mar2002 
 Forecast = 1.5233  Date_of_death = Mar2002 
 Forecast = 1.5233  Date_of_death = Feb2002 
 Forecast = 4.0735  Date_of_death = Feb2002 
 Forecast = 4.0735  Date_of_death = Jan2002 
 Forecast = 2.0964  Date_of_death = Jan2002 
 Forecast = 2.0964  Date_of_death = Dec2001 
 Forecast = 1.0422  Date_of_death = Dec2001 
 Forecast = 1.0422  Date_of_death = Nov2001 
 Forecast = 4.0510  Date_of_death = Nov2001 
 Forecast = 4.0510  Date_of_death = Oct2001 
 Forecast = 4.0561  Date_of_death = Oct2001 
 Forecast = 4.0561  Date_of_death = Sep2001 
 Forecast = 1.0346  Date_of_death = Sep2001 
 Forecast = 1.0346  Date_of_death = Aug2001 
 Forecast = 4.0406  Date_of_death = Aug2001 
 Forecast = 4.0406  Date_of_death = Jul2001 
 Forecast = 1.0467  Date_of_death = Jul2001 
 Forecast = 1.0467  Date_of_death = Jun2001 
 Forecast = 4.0491  Date_of_death = Jun2001 
 Forecast = 4.0491  Date_of_death = May2001 
 Forecast = 1.0246  Date_of_death = May2001 
 Forecast = 1.0246  Date_of_death = Apr2001 
 Forecast = 4.0265  Date_of_death = Apr2001 
 Forecast = 4.0265  Date_of_death = Mar2001 
 Forecast = 1.0193  Date_of_death = Mar2001 
 Forecast = 1.0193  Date_of_death = Feb2001 
 Forecast = 4.0190  Date_of_death = Feb2001 
 Forecast = 4.0190  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Oct2019 
 incidents = 1.0000  Date_of_death = Sep2019 
 incidents = 2.0000  Date_of_death = Aug2019 
 incidents = 4.0000  Date_of_death = Jul2019 
 incidents = 2.0000  Date_of_death = Jun2019 
 incidents = 1.0000  Date_of_death = May2019 
 incidents = 1.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 1.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 4.0000  Date_of_death = Dec2018 
 incidents = 1.0000  Date_of_death = Nov2018 
 incidents = 4.0000  Date_of_death = Oct2018 
 incidents = 1.0000  Date_of_death = Sep2018 
 incidents = 1.0000  Date_of_death = Aug2018 
 incidents = 2.0000  Date_of_death = Jul2018 
 incidents = 2.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 1.0000  Date_of_death = Apr2018 
 incidents = 2.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 1.0000  Date_of_death = Jan2018 
 incidents = 4.0000  Date_of_death = Dec2017 
 incidents = 1.0000  Date_of_death = Nov2017 
 incidents = 1.0000  Date_of_death = Oct2017 
 incidents = 4.0000  Date_of_death = Sep2017 
 incidents = 4.0000  Date_of_death = Aug2017 
 incidents = 4.0000  Date_of_death = Jul2017 
 incidents = 1.0000  Date_of_death = Jun2017 
 incidents = 1.0000  Date_of_death = May2017 
 incidents = 1.0000  Date_of_death = Apr2017 
 incidents = 1.0000  Date_of_death = Mar2017 
 incidents = 4.0000  Date_of_death = Feb2017 
 incidents = 1.0000  Date_of_death = Jan2017 
 incidents = 2.0000  Date_of_death = Dec2016 
 incidents = 4.0000  Date_of_death = Nov2016 
 incidents = 4.0000  Date_of_death = Oct2016 
 incidents = 4.0000  Date_of_death = Sep2016 
 incidents = 1.0000  Date_of_death = Aug2016 
 incidents = 1.0000  Date_of_death = Jul2016 
 incidents = 3.0000  Date_of_death = Jun2016 
 incidents = 4.0000  Date_of_death = May2016 
 incidents = 4.0000  Date_of_death = Apr2016 
 incidents = 4.0000  Date_of_death = Mar2016 
 incidents = 3.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 1.0000  Date_of_death = Dec2015 
 incidents = 2.0000  Date_of_death = Nov2015 
 incidents = 3.0000  Date_of_death = Oct2015 
 incidents = 3.0000  Date_of_death = Sep2015 
 incidents = 4.0000  Date_of_death = Aug2015 
 incidents = 1.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 4.0000  Date_of_death = May2015 
 incidents = 4.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 2.0000  Date_of_death = Feb2015 
 incidents = 3.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 4.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 2.0000  Date_of_death = Sep2014 
 incidents = 4.0000  Date_of_death = Aug2014 
 incidents = 1.0000  Date_of_death = Jul2014 
 incidents = 4.0000  Date_of_death = Jun2014 
 incidents = 3.0000  Date_of_death = May2014 
 incidents = 1.0000  Date_of_death = Apr2014 
 incidents = 4.0000  Date_of_death = Mar2014 
 incidents = 1.0000  Date_of_death = Feb2014 
 incidents = 4.0000  Date_of_death = Jan2014 
 incidents = 1.0000  Date_of_death = Dec2013 
 incidents = 4.0000  Date_of_death = Nov2013 
 incidents = 2.0000  Date_of_death = Oct2013 
 incidents = 4.0000  Date_of_death = Sep2013 
 incidents = 4.0000  Date_of_death = Aug2013 
 incidents = 4.0000  Date_of_death = Jul2013 
 incidents = 4.0000  Date_of_death = Jun2013 
 incidents = 1.0000  Date_of_death = May2013 
 incidents = 1.0000  Date_of_death = Apr2013 
 incidents = 1.0000  Date_of_death = Mar2013 
 incidents = 2.0000  Date_of_death = Feb2013 
 incidents = 1.0000  Date_of_death = Jan2013 
 incidents = 4.0000  Date_of_death = Dec2012 
 incidents = 2.0000  Date_of_death = Nov2012 
 incidents = 2.0000  Date_of_death = Oct2012 
 incidents = 4.0000  Date_of_death = Sep2012 
 incidents = 4.0000  Date_of_death = Aug2012 
 incidents = 2.0000  Date_of_death = Jul2012 
 incidents = 2.0000  Date_of_death = Jun2012 
 incidents = 4.0000  Date_of_death = May2012 
 incidents = 4.0000  Date_of_death = Apr2012 
 incidents = 4.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 1.0000  Date_of_death = Jan2012 
 incidents = 1.0000  Date_of_death = Dec2011 
 incidents = 4.0000  Date_of_death = Nov2011 
 incidents = 1.0000  Date_of_death = Oct2011 
 incidents = 1.0000  Date_of_death = Sep2011 
 incidents = 4.0000  Date_of_death = Aug2011 
 incidents = 4.0000  Date_of_death = Jul2011 
 incidents = 4.0000  Date_of_death = Jun2011 
 incidents = 2.0000  Date_of_death = May2011 
 incidents = 2.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 4.0000  Date_of_death = Feb2011 
 incidents = 1.0000  Date_of_death = Jan2011 
 incidents = 1.0000  Date_of_death = Dec2010 
 incidents = 3.0000  Date_of_death = Nov2010 
 incidents = 1.0000  Date_of_death = Oct2010 
 incidents = 1.0000  Date_of_death = Sep2010 
 incidents = 4.0000  Date_of_death = Aug2010 
 incidents = 1.0000  Date_of_death = Jul2010 
 incidents = 1.0000  Date_of_death = Jun2010 
 incidents = 1.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 4.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 2.0000  Date_of_death = Jan2010 
 incidents = 1.0000  Date_of_death = Dec2009 
 incidents = 1.0000  Date_of_death = Nov2009 
 incidents = 4.0000  Date_of_death = Oct2009 
 incidents = 1.0000  Date_of_death = Sep2009 
 incidents = 1.0000  Date_of_death = Aug2009 
 incidents = 1.0000  Date_of_death = Jul2009 
 incidents = 4.0000  Date_of_death = Jun2009 
 incidents = 2.0000  Date_of_death = May2009 
 incidents = 3.0000  Date_of_death = Apr2009 
 incidents = 1.0000  Date_of_death = Mar2009 
 incidents = 2.0000  Date_of_death = Feb2009 
 incidents = 1.0000  Date_of_death = Jan2009 
 incidents = 1.0000  Date_of_death = Dec2008 
 incidents = 1.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 4.0000  Date_of_death = Sep2008 
 incidents = 4.0000  Date_of_death = Aug2008 
 incidents = 2.0000  Date_of_death = Jul2008 
 incidents = 1.0000  Date_of_death = Jun2008 
 incidents = 4.0000  Date_of_death = May2008 
 incidents = 4.0000  Date_of_death = Apr2008 
 incidents = 3.0000  Date_of_death = Mar2008 
 incidents = 1.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 2.0000  Date_of_death = Dec2007 
 incidents = 1.0000  Date_of_death = Nov2007 
 incidents = 2.0000  Date_of_death = Oct2007 
 incidents = 2.0000  Date_of_death = Sep2007 
 incidents = 2.0000  Date_of_death = Aug2007 
 incidents = 1.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 3.0000  Date_of_death = May2007 
 incidents = 4.0000  Date_of_death = Apr2007 
 incidents = 2.0000  Date_of_death = Mar2007 
 incidents = 4.0000  Date_of_death = Feb2007 
 incidents = 1.0000  Date_of_death = Jan2007 
 incidents = 1.0000  Date_of_death = Dec2006 
 incidents = 2.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 4.0000  Date_of_death = Aug2006 
 incidents = 4.0000  Date_of_death = Jul2006 
 incidents = 2.0000  Date_of_death = Jun2006 
 incidents = 2.0000  Date_of_death = May2006 
 incidents = 4.0000  Date_of_death = Apr2006 
 incidents = 2.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 1.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 2.0000  Date_of_death = Nov2005 
 incidents = 4.0000  Date_of_death = Oct2005 
 incidents = 1.0000  Date_of_death = Sep2005 
 incidents = 4.0000  Date_of_death = Aug2005 
 incidents = 3.0000  Date_of_death = Jul2005 
 incidents = 1.0000  Date_of_death = Jun2005 
 incidents = 4.0000  Date_of_death = May2005 
 incidents = 4.0000  Date_of_death = Apr2005 
 incidents = 4.0000  Date_of_death = Mar2005 
 incidents = 1.0000  Date_of_death = Feb2005 
 incidents = 4.0000  Date_of_death = Jan2005 
 incidents = 2.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 4.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 4.0000  Date_of_death = Aug2004 
 incidents = 2.0000  Date_of_death = Jul2004 
 incidents = 4.0000  Date_of_death = Jun2004 
 incidents = 4.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 1.0000  Date_of_death = Mar2004 
 incidents = 2.0000  Date_of_death = Feb2004 
 incidents = 3.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 1.0000  Date_of_death = Nov2003 
 incidents = 2.0000  Date_of_death = Oct2003 
 incidents = 2.0000  Date_of_death = Sep2003 
 incidents = 2.0000  Date_of_death = Aug2003 
 incidents = 4.0000  Date_of_death = Jul2003 
 incidents = 4.0000  Date_of_death = Jun2003 
 incidents = 4.0000  Date_of_death = May2003 
 incidents = 1.0000  Date_of_death = Apr2003 
 incidents = 2.0000  Date_of_death = Mar2003 
 incidents = 4.0000  Date_of_death = Feb2003 
 incidents = 2.0000  Date_of_death = Jan2003 
 incidents = 4.0000  Date_of_death = Dec2002 
 incidents = 4.0000  Date_of_death = Nov2002 
 incidents = 1.0000  Date_of_death = Oct2002 
 incidents = 4.0000  Date_of_death = Sep2002 
 incidents = 4.0000  Date_of_death = Aug2002 
 incidents = 4.0000  Date_of_death = Jul2002 
 incidents = 2.0000  Date_of_death = Jun2002 
 incidents = 4.0000  Date_of_death = May2002 
 incidents = 1.0000  Date_of_death = Apr2002 
 incidents = 1.0000  Date_of_death = Mar2002 
 incidents = 1.0000  Date_of_death = Feb2002 
 incidents = 1.0000  Date_of_death = Jan2002 
 incidents = 1.0000  Date_of_death = Dec2001 
 incidents = 4.0000  Date_of_death = Nov2001 
 incidents = 4.0000  Date_of_death = Oct2001 
 incidents = 4.0000  Date_of_death = Sep2001 
 incidents = 4.0000  Date_of_death = Aug2001 
 incidents = 4.0000  Date_of_death = Jul2001 
 incidents = 1.0000  Date_of_death = Jun2001 
 incidents = 4.0000  Date_of_death = May2001 
 incidents = 4.0000  Date_of_death = Apr2001 
 incidents = 4.0000  Date_of_death = Mar2001 
 incidents = 2.0000  Date_of_death = Feb2001 
 incidents = 4.0000  Date_of_death = Jan2001 
 incidents = 3.0000  Date_of_death = Oct2020 
 Upper 95% = 4.7840 
 Lower 95% = -0.6040  Date_of_death = Sep2020 
 Upper 95% = 5.3578 
 Lower 95% = -0.0286  Date_of_death = Sep2020 
 Upper 95% = 5.3578 
 Lower 95% = -0.0286  Date_of_death = Aug2020 
 Upper 95% = 4.9333 
 Lower 95% = -0.4495  Date_of_death = Aug2020 
 Upper 95% = 4.9333 
 Lower 95% = -0.4495  Date_of_death = Jul2020 
 Upper 95% = 4.6409 
 Lower 95% = -0.7383  Date_of_death = Jul2020 
 Upper 95% = 4.6409 
 Lower 95% = -0.7383  Date_of_death = Jun2020 
 Upper 95% = 5.0191 
 Lower 95% = -0.3563  Date_of_death = Jun2020 
 Upper 95% = 5.0191 
 Lower 95% = -0.3563  Date_of_death = May2020 
 Upper 95% = 4.7808 
 Lower 95% = -0.5909  Date_of_death = May2020 
 Upper 95% = 4.7808 
 Lower 95% = -0.5909  Date_of_death = Apr2020 
 Upper 95% = 4.6105 
 Lower 95% = -0.7574  Date_of_death = Apr2020 
 Upper 95% = 4.6105 
 Lower 95% = -0.7574  Date_of_death = Mar2020 
 Upper 95% = 4.2800 
 Lower 95% = -1.0841  Date_of_death = Mar2020 
 Upper 95% = 4.2800 
 Lower 95% = -1.0841  Date_of_death = Feb2020 
 Upper 95% = 4.2013 
 Lower 95% = -1.1589  Date_of_death = Feb2020 
 Upper 95% = 4.2013 
 Lower 95% = -1.1589  Date_of_death = Jan2020 
 Upper 95% = 4.4578 
 Lower 95% = -0.8985  Date_of_death = Jan2020 
 Upper 95% = 4.4578 
 Lower 95% = -0.8985  Date_of_death = Dec2019 
 Upper 95% = 4.6340 
 Lower 95% = -0.7214  Date_of_death = Dec2019 
 Upper 95% = 4.6340 
 Lower 95% = -0.7214  Date_of_death = Nov2019 
 Upper 95% = 4.8317 
 Lower 95% = -0.5218
Forecast Plot

County=San Diego

Series Span Summary

Estimation Span

Estimation Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 4.00000 2.63559 1.33793

Forecast Span

Forecast Span Summary
Variable Type First Obs Last Obs NObs NMiss Min Max Mean Standard
Deviation
incidents Dependent JAN2000 AUG2019 236 0 1.00000 4.00000 2.63559 1.33793

Fit Summary

Initial Estimates

Preliminary Estimates of the Free Parameters
Component Parameter Estimate
Irregular Error Variance 1.42597
Level Error Variance 0.53474
Season Error Variance 1.89946

Likelihood

Likelihood Based Fit Statistics
Statistic Value
Full Log Likelihood -403.9
Diffuse Part of Log Likelihood -2.485
Non-Missing Observations Used 236
Estimated Parameters 3
Initialized Diffuse State Elements 12
Normalized Residual Sum of Squares 224
AIC (smaller is better) 813.71
BIC (smaller is better) 823.94
AICC (smaller is better) 813.82
HQIC (smaller is better) 817.84
CAIC (smaller is better) 826.94
Likelihood Optimization Algorithm Converged in 13 Iterations.

Estimates

Parameter Estimates

Final Estimates of the Free Parameters
Component Parameter Estimate Approx
Std Error
t Value Approx
Pr > |t|
Irregular Error Variance 1.79717 0.16982 10.58 <.0001
Level Error Variance 1.858667E-9 1.04387E-6 0.00 0.9986
Season Error Variance 2.816886E-8 0.00001952 0.00 0.9988

Goodness of Fit

Fit Statistics Based on Residuals
Number of non-missing residuals used for computing the fit statistics = 224
Mean Squared Error 2.14848
Root Mean Squared Error 1.46577
Mean Absolute Percentage Error 77.38853
Maximum Percent Error 75.00000
R-Square -0.20693
Adjusted R-Square -0.21786
Random Walk R-Square 0.42084
Amemiya's Adjusted R-Square -0.23970

Component Significance

Significance Analysis of Components (Based on the Final State)
Component DF Chi-Square Pr > ChiSq
Irregular 1 28.49 <.0001
Level 1 912.64 <.0001
Season 11 10.07 0.5242

TrendInformation

Trend Information (Based on the Final State)
Name Estimate Standard
Error
Level 2.637061413 0.087291

Seasonals

Summary of Seasons
Name Type Season Length Error Variance
Season DUMMY 12 2.816886E-8

Outlier Summary

Residual Diagnostics Panel

 Prediction Error = 4.9219 
 Percent = 0.0131  Prediction Error = 4.875 
 Percent = 0.0156  Prediction Error = 4.875 
 Percent = 0.0156  Prediction Error = 4.8281 
 Percent = 0.0184  Prediction Error = 4.8281 
 Percent = 0.0184  Prediction Error = 4.7813 
 Percent = 0.0217  Prediction Error = 4.7813 
 Percent = 0.0217  Prediction Error = 4.7344 
 Percent = 0.0256  Prediction Error = 4.7344 
 Percent = 0.0256  Prediction Error = 4.6875 
 Percent = 0.03  Prediction Error = 4.6875 
 Percent = 0.03  Prediction Error = 4.6406 
 Percent = 0.0351  Prediction Error = 4.6406 
 Percent = 0.0351  Prediction Error = 4.5938 
 Percent = 0.041  Prediction Error = 4.5938 
 Percent = 0.041  Prediction Error = 4.5469 
 Percent = 0.0477  Prediction Error = 4.5469 
 Percent = 0.0477  Prediction Error = 4.5 
 Percent = 0.0554  Prediction Error = 4.5 
 Percent = 0.0554  Prediction Error = 4.4531 
 Percent = 0.0641  Prediction Error = 4.4531 
 Percent = 0.0641  Prediction Error = 4.4063 
 Percent = 0.0741  Prediction Error = 4.4063 
 Percent = 0.0741  Prediction Error = 4.3594 
 Percent = 0.0854  Prediction Error = 4.3594 
 Percent = 0.0854  Prediction Error = 4.3125 
 Percent = 0.0982  Prediction Error = 4.3125 
 Percent = 0.0982  Prediction Error = 4.2656 
 Percent = 0.1127  Prediction Error = 4.2656 
 Percent = 0.1127  Prediction Error = 4.2188 
 Percent = 0.1291  Prediction Error = 4.2188 
 Percent = 0.1291  Prediction Error = 4.1719 
 Percent = 0.1475  Prediction Error = 4.1719 
 Percent = 0.1475  Prediction Error = 4.125 
 Percent = 0.1683  Prediction Error = 4.125 
 Percent = 0.1683  Prediction Error = 4.0781 
 Percent = 0.1916  Prediction Error = 4.0781 
 Percent = 0.1916  Prediction Error = 4.0313 
 Percent = 0.2178  Prediction Error = 4.0313 
 Percent = 0.2178  Prediction Error = 3.9844 
 Percent = 0.2472  Prediction Error = 3.9844 
 Percent = 0.2472  Prediction Error = 3.9375 
 Percent = 0.28  Prediction Error = 3.9375 
 Percent = 0.28  Prediction Error = 3.8906 
 Percent = 0.3167  Prediction Error = 3.8906 
 Percent = 0.3167  Prediction Error = 3.8438 
 Percent = 0.3576  Prediction Error = 3.8438 
 Percent = 0.3576  Prediction Error = 3.7969 
 Percent = 0.4032  Prediction Error = 3.7969 
 Percent = 0.4032  Prediction Error = 3.75 
 Percent = 0.4539  Prediction Error = 3.75 
 Percent = 0.4539  Prediction Error = 3.7031 
 Percent = 0.5102  Prediction Error = 3.7031 
 Percent = 0.5102  Prediction Error = 3.6563 
 Percent = 0.5726  Prediction Error = 3.6563 
 Percent = 0.5726  Prediction Error = 3.6094 
 Percent = 0.6418  Prediction Error = 3.6094 
 Percent = 0.6418  Prediction Error = 3.5625 
 Percent = 0.7182  Prediction Error = 3.5625 
 Percent = 0.7182  Prediction Error = 3.5156 
 Percent = 0.8025  Prediction Error = 3.5156 
 Percent = 0.8025  Prediction Error = 3.4688 
 Percent = 0.8954  Prediction Error = 3.4688 
 Percent = 0.8954  Prediction Error = 3.4219 
 Percent = 0.9975  Prediction Error = 3.4219 
 Percent = 0.9975  Prediction Error = 3.375 
 Percent = 1.1095  Prediction Error = 3.375 
 Percent = 1.1095  Prediction Error = 3.3281 
 Percent = 1.232  Prediction Error = 3.3281 
 Percent = 1.232  Prediction Error = 3.2813 
 Percent = 1.3659  Prediction Error = 3.2813 
 Percent = 1.3659  Prediction Error = 3.2344 
 Percent = 1.5117  Prediction Error = 3.2344 
 Percent = 1.5117  Prediction Error = 3.1875 
 Percent = 1.6701  Prediction Error = 3.1875 
 Percent = 1.6701  Prediction Error = 3.1406 
 Percent = 1.8418  Prediction Error = 3.1406 
 Percent = 1.8418  Prediction Error = 3.0938 
 Percent = 2.0273  Prediction Error = 3.0938 
 Percent = 2.0273  Prediction Error = 3.0469 
 Percent = 2.2272  Prediction Error = 3.0469 
 Percent = 2.2272  Prediction Error = 3 
 Percent = 2.442  Prediction Error = 3 
 Percent = 2.442  Prediction Error = 2.9531 
 Percent = 2.6721  Prediction Error = 2.9531 
 Percent = 2.6721  Prediction Error = 2.9063 
 Percent = 2.9177  Prediction Error = 2.9063 
 Percent = 2.9177  Prediction Error = 2.8594 
 Percent = 3.179  Prediction Error = 2.8594 
 Percent = 3.179  Prediction Error = 2.8125 
 Percent = 3.456  Prediction Error = 2.8125 
 Percent = 3.456  Prediction Error = 2.7656 
 Percent = 3.7486  Prediction Error = 2.7656 
 Percent = 3.7486  Prediction Error = 2.7188 
 Percent = 4.0566  Prediction Error = 2.7188 
 Percent = 4.0566  Prediction Error = 2.6719 
 Percent = 4.3795  Prediction Error = 2.6719 
 Percent = 4.3795  Prediction Error = 2.625 
 Percent = 4.7167  Prediction Error = 2.625 
 Percent = 4.7167  Prediction Error = 2.5781 
 Percent = 5.0674  Prediction Error = 2.5781 
 Percent = 5.0674  Prediction Error = 2.5313 
 Percent = 5.4306  Prediction Error = 2.5313 
 Percent = 5.4306  Prediction Error = 2.1094 
 Percent = 9.0044  Prediction Error = 2.1094 
 Percent = 9.0044  Prediction Error = 2.0156 
 Percent = 9.7825  Prediction Error = 2.0156 
 Percent = 9.7825  Prediction Error = 1.9688 
 Percent = 10.155  Prediction Error = 1.9688 
 Percent = 10.155  Prediction Error = 1.9219 
 Percent = 10.513  Prediction Error = 1.9219 
 Percent = 10.513  Prediction Error = 1.875 
 Percent = 10.855  Prediction Error = 1.875 
 Percent = 10.855  Prediction Error = 1.8281 
 Percent = 11.178  Prediction Error = 1.8281 
 Percent = 11.178  Prediction Error = 1.7813 
 Percent = 11.48  Prediction Error = 1.7813 
 Percent = 11.48  Prediction Error = 1.7344 
 Percent = 11.759  Prediction Error = 1.7344 
 Percent = 11.759  Prediction Error = 1.6875 
 Percent = 12.013  Prediction Error = 1.6875 
 Percent = 12.013  Prediction Error = 1.6406 
 Percent = 12.241  Prediction Error = 1.6406 
 Percent = 12.241  Prediction Error = 1.5938 
 Percent = 12.441  Prediction Error = 1.5938 
 Percent = 12.441  Prediction Error = 1.5469 
 Percent = 12.613  Prediction Error = 1.5469 
 Percent = 12.613  Prediction Error = 1.5 
 Percent = 12.756  Prediction Error = 1.5 
 Percent = 12.756  Prediction Error = 1.4531 
 Percent = 12.87  Prediction Error = 1.4531 
 Percent = 12.87  Prediction Error = 1.4063 
 Percent = 12.953  Prediction Error = 1.4063 
 Percent = 12.953  Prediction Error = 1.3594 
 Percent = 13.007  Prediction Error = 1.3594 
 Percent = 13.007  Prediction Error = 1.3125 
 Percent = 13.033  Prediction Error = 1.3125 
 Percent = 13.033  Prediction Error = 1.2656 
 Percent = 13.03  Prediction Error = 1.2656 
 Percent = 13.03  Prediction Error = 1.2188 
 Percent = 12.999  Prediction Error = 1.2188 
 Percent = 12.999  Prediction Error = 1.1719 
 Percent = 12.944  Prediction Error = 1.1719 
 Percent = 12.944  Prediction Error = 1.125 
 Percent = 12.864  Prediction Error = 1.125 
 Percent = 12.864  Prediction Error = 1.0781 
 Percent = 12.761  Prediction Error = 1.0781 
 Percent = 12.761  Prediction Error = 1.0313 
 Percent = 12.638  Prediction Error = 1.0313 
 Percent = 12.638  Prediction Error = 0.9844 
 Percent = 12.497  Prediction Error = 0.9844 
 Percent = 12.497  Prediction Error = 0.9375 
 Percent = 12.341  Prediction Error = 0.9375 
 Percent = 12.341  Prediction Error = 0.8906 
 Percent = 12.17  Prediction Error = 0.8906 
 Percent = 12.17  Prediction Error = 0.8438 
 Percent = 11.989  Prediction Error = 0.8438 
 Percent = 11.989  Prediction Error = 0.7969 
 Percent = 11.799  Prediction Error = 0.7969 
 Percent = 11.799  Prediction Error = 0.6563 
 Percent = 11.204  Prediction Error = 0.6563 
 Percent = 11.204  Prediction Error = 0.5625 
 Percent = 10.811  Prediction Error = 0.5625 
 Percent = 10.811  Prediction Error = 0.5156 
 Percent = 10.623  Prediction Error = 0.5156 
 Percent = 10.623  Prediction Error = 0.4688 
 Percent = 10.442  Prediction Error = 0.4688 
 Percent = 10.442  Prediction Error = 0.4219 
 Percent = 10.272  Prediction Error = 0.4219 
 Percent = 10.272  Prediction Error = 0.375 
 Percent = 10.113  Prediction Error = 0.375 
 Percent = 10.113  Prediction Error = 0.3281 
 Percent = 9.9681  Prediction Error = 0.3281 
 Percent = 9.9681  Prediction Error = 0.2813 
 Percent = 9.8378  Prediction Error = 0.2813 
 Percent = 9.8378  Prediction Error = 0.2344 
 Percent = 9.7235  Prediction Error = 0.2344 
 Percent = 9.7235  Prediction Error = 0.1875 
 Percent = 9.6263  Prediction Error = 0.1875 
 Percent = 9.6263  Prediction Error = 0.1406 
 Percent = 9.5471  Prediction Error = 0.1406 
 Percent = 9.5471  Prediction Error = 0.0938 
 Percent = 9.4865  Prediction Error = 0.0938 
 Percent = 9.4865  Prediction Error = 0.0469 
 Percent = 9.445  Prediction Error = 0.0469 
 Percent = 9.445  Prediction Error = 1.8E-8 
 Percent = 9.4228  Prediction Error = 1.8E-8 
 Percent = 9.4228  Prediction Error = -0.047 
 Percent = 9.4201  Prediction Error = -0.047 
 Percent = 9.4201  Prediction Error = -0.094 
 Percent = 9.4366  Prediction Error = -0.094 
 Percent = 9.4366  Prediction Error = -0.141 
 Percent = 9.4721  Prediction Error = -0.141 
 Percent = 9.4721  Prediction Error = -0.187 
 Percent = 9.5261  Prediction Error = -0.187 
 Percent = 9.5261  Prediction Error = -0.234 
 Percent = 9.5979  Prediction Error = -0.234 
 Percent = 9.5979  Prediction Error = -0.281 
 Percent = 9.6868  Prediction Error = -0.281 
 Percent = 9.6868  Prediction Error = -0.328 
 Percent = 9.7916  Prediction Error = -0.328 
 Percent = 9.7916  Prediction Error = -0.375 
 Percent = 9.9113  Prediction Error = -0.375 
 Percent = 9.9113  Prediction Error = -0.422 
 Percent = 10.045  Prediction Error = -0.422 
 Percent = 10.045  Prediction Error = -0.469 
 Percent = 10.19  Prediction Error = -0.469 
 Percent = 10.19  Prediction Error = -0.516 
 Percent = 10.346  Prediction Error = -0.516 
 Percent = 10.346  Prediction Error = -0.562 
 Percent = 10.51  Prediction Error = -0.562 
 Percent = 10.51  Prediction Error = -0.609 
 Percent = 10.681  Prediction Error = -0.609 
 Percent = 10.681  Prediction Error = -0.75 
 Percent = 11.216  Prediction Error = -0.75 
 Percent = 11.216  Prediction Error = -0.844 
 Percent = 11.569  Prediction Error = -0.844 
 Percent = 11.569  Prediction Error = -0.891 
 Percent = 11.738  Prediction Error = -0.891 
 Percent = 11.738  Prediction Error = -0.937 
 Percent = 11.898  Prediction Error = -0.937 
 Percent = 11.898  Prediction Error = -0.984 
 Percent = 12.048  Prediction Error = -0.984 
 Percent = 12.048  Prediction Error = -1.031 
 Percent = 12.185  Prediction Error = -1.031 
 Percent = 12.185  Prediction Error = -1.078 
 Percent = 12.308  Prediction Error = -1.078 
 Percent = 12.308  Prediction Error = -1.125 
 Percent = 12.413  Prediction Error = -1.125 
 Percent = 12.413  Prediction Error = -1.172 
 Percent = 12.5  Prediction Error = -1.172 
 Percent = 12.5  Prediction Error = -1.219 
 Percent = 12.567  Prediction Error = -1.219 
 Percent = 12.567  Prediction Error = -1.266 
 Percent = 12.612  Prediction Error = -1.266 
 Percent = 12.612  Prediction Error = -1.312 
 Percent = 12.633  Prediction Error = -1.312 
 Percent = 12.633  Prediction Error = -1.359 
 Percent = 12.63  Prediction Error = -1.359 
 Percent = 12.63  Prediction Error = -1.406 
 Percent = 12.602  Prediction Error = -1.406 
 Percent = 12.602  Prediction Error = -1.453 
 Percent = 12.547  Prediction Error = -1.453 
 Percent = 12.547  Prediction Error = -1.5 
 Percent = 12.466  Prediction Error = -1.5 
 Percent = 12.466  Prediction Error = -1.547 
 Percent = 12.358  Prediction Error = -1.547 
 Percent = 12.358  Prediction Error = -1.594 
 Percent = 12.223  Prediction Error = -1.594 
 Percent = 12.223  Prediction Error = -1.641 
 Percent = 12.063  Prediction Error = -1.641 
 Percent = 12.063  Prediction Error = -1.687 
 Percent = 11.876  Prediction Error = -1.687 
 Percent = 11.876  Prediction Error = -1.734 
 Percent = 11.665  Prediction Error = -1.734 
 Percent = 11.665  Prediction Error = -1.781 
 Percent = 11.43  Prediction Error = -1.781 
 Percent = 11.43  Prediction Error = -1.828 
 Percent = 11.173  Prediction Error = -1.828 
 Percent = 11.173  Prediction Error = -1.875 
 Percent = 10.895  Prediction Error = -1.875 
 Percent = 10.895  Prediction Error = -1.922 
 Percent = 10.598  Prediction Error = -1.922 
 Percent = 10.598  Prediction Error = -1.969 
 Percent = 10.283  Prediction Error = -1.969 
 Percent = 10.283  Prediction Error = -2.016 
 Percent = 9.9534  Prediction Error = -2.016 
 Percent = 9.9534  Prediction Error = -2.437 
 Percent = 6.6466  Prediction Error = -2.437 
 Percent = 6.6466  Prediction Error = -2.531 
 Percent = 5.9187  Prediction Error = -2.531 
 Percent = 5.9187  Prediction Error = -2.625 
 Percent = 5.2229  Prediction Error = -2.625 
 Percent = 5.2229  Prediction Error = -2.672 
 Percent = 4.8901  Prediction Error = -2.672 
 Percent = 4.8901  Prediction Error = -2.719 
 Percent = 4.5687  Prediction Error = -2.719 
 Percent = 4.5687  Prediction Error = -2.766 
 Percent = 4.2594  Prediction Error = -2.766 
 Percent = 4.2594  Prediction Error = -2.812 
 Percent = 3.9628  Prediction Error = -2.812 
 Percent = 3.9628  Prediction Error = -2.859 
 Percent = 3.6794  Prediction Error = -2.859 
 Percent = 3.6794  Prediction Error = -2.906 
 Percent = 3.4095  Prediction Error = -2.906 
 Percent = 3.4095  Prediction Error = -2.953 
 Percent = 3.1532  Prediction Error = -2.953 
 Percent = 3.1532  Prediction Error = -3 
 Percent = 2.9107  Prediction Error = -3 
 Percent = 2.9107  Prediction Error = -3.047 
 Percent = 2.6818  Prediction Error = -3.047 
 Percent = 2.6818  Prediction Error = -3.094 
 Percent = 2.4663  Prediction Error = -3.094 
 Percent = 2.4663  Prediction Error = -3.141 
 Percent = 2.2642  Prediction Error = -3.141 
 Percent = 2.2642  Prediction Error = -3.187 
 Percent = 2.0749  Prediction Error = -3.187 
 Percent = 2.0749  Prediction Error = -3.234 
 Percent = 1.8981  Prediction Error = -3.234 
 Percent = 1.8981  Prediction Error = -3.281 
 Percent = 1.7335  Prediction Error = -3.281 
 Percent = 1.7335  Prediction Error = -3.328 
 Percent = 1.5804  Prediction Error = -3.328 
 Percent = 1.5804  Prediction Error = -3.375 
 Percent = 1.4384  Prediction Error = -3.375 
 Percent = 1.4384  Prediction Error = -3.422 
 Percent = 1.307  Prediction Error = -3.422 
 Percent = 1.307  Prediction Error = -3.469 
 Percent = 1.1856  Prediction Error = -3.469 
 Percent = 1.1856  Prediction Error = -3.516 
 Percent = 1.0737  Prediction Error = -3.516 
 Percent = 1.0737  Prediction Error = -3.562 
 Percent = 0.9707  Prediction Error = -3.562 
 Percent = 0.9707  Prediction Error = -3.609 
 Percent = 0.8761  Prediction Error = -3.609 
 Percent = 0.8761  Prediction Error = -3.656 
 Percent = 0.7894  Prediction Error = -3.656 
 Percent = 0.7894  Prediction Error = -3.703 
 Percent = 0.71  Prediction Error = -3.703 
 Percent = 0.71  Prediction Error = -3.75 
 Percent = 0.6374  Prediction Error = -3.75 
 Percent = 0.6374  Prediction Error = -3.797 
 Percent = 0.5712  Prediction Error = -3.797 
 Percent = 0.5712  Prediction Error = -3.844 
 Percent = 0.5109  Prediction Error = -3.844 
 Percent = 0.5109  Prediction Error = -3.891 
 Percent = 0.4562  Prediction Error = -3.891 
 Percent = 0.4562  Prediction Error = -3.937 
 Percent = 0.4065  Prediction Error = -3.937 
 Percent = 0.4065  Prediction Error = -3.984 
 Percent = 0.3614  Prediction Error = -3.984 
 Percent = 0.3614  Prediction Error = -4.031 
 Percent = 0.3207  Prediction Error = -4.031 
 Percent = 0.3207  Prediction Error = -4.078 
 Percent = 0.284  Prediction Error = -4.078 
 Percent = 0.284  Prediction Error = -4.125 
 Percent = 0.2509  Prediction Error = -4.125 
 Percent = 0.2509  Prediction Error = -4.172 
 Percent = 0.2212  Prediction Error = -4.172 
 Percent = 0.2212  Prediction Error = -4.219 
 Percent = 0.1945  Prediction Error = -4.219 
 Percent = 0.1945  Prediction Error = -4.266 
 Percent = 0.1707  Prediction Error = -4.266 
 Percent = 0.1707  Prediction Error = -4.312 
 Percent = 0.1494  Prediction Error = -4.312 
 Percent = 0.1494  Prediction Error = -4.359 
 Percent = 0.1304  Prediction Error = -4.359 
 Percent = 0.1304  Prediction Error = -4.406 
 Percent = 0.1136  Prediction Error = -4.406 
 Percent = 0.1136  Prediction Error = -4.453 
 Percent = 0.0986  Prediction Error = -4.453 
 Percent = 0.0986  Prediction Error = -4.5 
 Percent = 0.0854  Prediction Error = -4.5 
 Percent = 0.0854  Prediction Error = -4.547 
 Percent = 0.0738  Prediction Error = -4.547 
 Percent = 0.0738  Prediction Error = -4.594 
 Percent = 0.0636  Prediction Error = -4.594 
 Percent = 0.0636  Prediction Error = -4.641 
 Percent = 0.0546  Prediction Error = -4.641 
 Percent = 0.0546  Prediction Error = -4.687 
 Percent = 0.0467  Prediction Error = -4.687 
 Percent = 0.0467  Prediction Error = -4.734 
 Percent = 0.0399  Prediction Error = -4.734 
 Percent = 0.0399  Prediction Error = -4.781 
 Percent = 0.034  Prediction Error = -4.781 
 Percent = 0.034  Prediction Error = -4.828 
 Percent = 0.0288  Prediction Error = -4.828 
 Percent = 0.0288  Prediction Error = -4.875 
 Percent = 0.0244  Prediction Error = -4.875 
 Percent = 0.0244  Prediction Error = -4.922 
 Percent = 0.0205  Prediction Error = 4.3773 
 Percent = 0.181  Prediction Error = 4.3328 
 Percent = 0.1982  Prediction Error = 4.3328 
 Percent = 0.1982  Prediction Error = 4.2883 
 Percent = 0.2167  Prediction Error = 4.2883 
 Percent = 0.2167  Prediction Error = 4.2438 
 Percent = 0.2368  Prediction Error = 4.2438 
 Percent = 0.2368  Prediction Error = 4.1993 
 Percent = 0.2585  Prediction Error = 4.1993 
 Percent = 0.2585  Prediction Error = 4.1548 
 Percent = 0.282  Prediction Error = 4.1548 
 Percent = 0.282  Prediction Error = 4.1103 
 Percent = 0.3073  Prediction Error = 4.1103 
 Percent = 0.3073  Prediction Error = 4.0658 
 Percent = 0.3345  Prediction Error = 4.0658 
 Percent = 0.3345  Prediction Error = 4.0213 
 Percent = 0.3638  Prediction Error = 4.0213 
 Percent = 0.3638  Prediction Error = 3.9768 
 Percent = 0.3953  Prediction Error = 3.9768 
 Percent = 0.3953  Prediction Error = 3.9323 
 Percent = 0.4292  Prediction Error = 3.9323 
 Percent = 0.4292  Prediction Error = 3.8877 
 Percent = 0.4655  Prediction Error = 3.8877 
 Percent = 0.4655  Prediction Error = 3.8432 
 Percent = 0.5045  Prediction Error = 3.8432 
 Percent = 0.5045  Prediction Error = 3.7987 
 Percent = 0.5462  Prediction Error = 3.7987 
 Percent = 0.5462  Prediction Error = 3.7542 
 Percent = 0.5908  Prediction Error = 3.7542 
 Percent = 0.5908  Prediction Error = 3.7097 
 Percent = 0.6385  Prediction Error = 3.7097 
 Percent = 0.6385  Prediction Error = 3.6652 
 Percent = 0.6893  Prediction Error = 3.6652 
 Percent = 0.6893  Prediction Error = 3.6207 
 Percent = 0.7436  Prediction Error = 3.6207 
 Percent = 0.7436  Prediction Error = 3.5762 
 Percent = 0.8014  Prediction Error = 3.5762 
 Percent = 0.8014  Prediction Error = 3.5317 
 Percent = 0.8629  Prediction Error = 3.5317 
 Percent = 0.8629  Prediction Error = 3.4872 
 Percent = 0.9282  Prediction Error = 3.4872 
 Percent = 0.9282  Prediction Error = 3.4427 
 Percent = 0.9976  Prediction Error = 3.4427 
 Percent = 0.9976  Prediction Error = 3.3982 
 Percent = 1.0712  Prediction Error = 3.3982 
 Percent = 1.0712  Prediction Error = 3.3536 
 Percent = 1.1491  Prediction Error = 3.3536 
 Percent = 1.1491  Prediction Error = 3.3091 
 Percent = 1.2316  Prediction Error = 3.3091 
 Percent = 1.2316  Prediction Error = 3.2646 
 Percent = 1.3188  Prediction Error = 3.2646 
 Percent = 1.3188  Prediction Error = 3.2201 
 Percent = 1.4109  Prediction Error = 3.2201 
 Percent = 1.4109  Prediction Error = 3.1756 
 Percent = 1.5081  Prediction Error = 3.1756 
 Percent = 1.5081  Prediction Error = 3.1311 
 Percent = 1.6104  Prediction Error = 3.1311 
 Percent = 1.6104  Prediction Error = 3.0866 
 Percent = 1.7181  Prediction Error = 3.0866 
 Percent = 1.7181  Prediction Error = 3.0421 
 Percent = 1.8313  Prediction Error = 3.0421 
 Percent = 1.8313  Prediction Error = 2.9976 
 Percent = 1.9502  Prediction Error = 2.9976 
 Percent = 1.9502  Prediction Error = 2.9531 
 Percent = 2.0749  Prediction Error = 2.9531 
 Percent = 2.0749  Prediction Error = 2.9086 
 Percent = 2.2056  Prediction Error = 2.9086 
 Percent = 2.2056  Prediction Error = 2.8641 
 Percent = 2.3423  Prediction Error = 2.8641 
 Percent = 2.3423  Prediction Error = 2.8196 
 Percent = 2.4852  Prediction Error = 2.8196 
 Percent = 2.4852  Prediction Error = 2.775 
 Percent = 2.6344  Prediction Error = 2.775 
 Percent = 2.6344  Prediction Error = 2.7305 
 Percent = 2.7901  Prediction Error = 2.7305 
 Percent = 2.7901  Prediction Error = 2.686 
 Percent = 2.9522  Prediction Error = 2.686 
 Percent = 2.9522  Prediction Error = 2.6415 
 Percent = 3.1208  Prediction Error = 2.6415 
 Percent = 3.1208  Prediction Error = 2.597 
 Percent = 3.2961  Prediction Error = 2.597 
 Percent = 3.2961  Prediction Error = 2.5525 
 Percent = 3.478  Prediction Error = 2.5525 
 Percent = 3.478  Prediction Error = 2.508 
 Percent = 3.6665  Prediction Error = 2.508 
 Percent = 3.6665  Prediction Error = 2.4635 
 Percent = 3.8618  Prediction Error = 2.4635 
 Percent = 3.8618  Prediction Error = 2.419 
 Percent = 4.0637  Prediction Error = 2.419 
 Percent = 4.0637  Prediction Error = 2.3745 
 Percent = 4.2722  Prediction Error = 2.3745 
 Percent = 4.2722  Prediction Error = 2.2855 
 Percent = 4.709  Prediction Error = 2.2855 
 Percent = 4.709  Prediction Error = 2.1964 
 Percent = 5.1714  Prediction Error = 2.1964 
 Percent = 5.1714  Prediction Error = 2.1074 
 Percent = 5.6583  Prediction Error = 2.1074 
 Percent = 5.6583  Prediction Error = 2.0184 
 Percent = 6.1685  Prediction Error = 2.0184 
 Percent = 6.1685  Prediction Error = 1.9294 
 Percent = 6.6999  Prediction Error = 1.9294 
 Percent = 6.6999  Prediction Error = 1.2618 
 Percent = 11.077  Prediction Error = 1.2618 
 Percent = 11.077  Prediction Error = 1.1282 
 Percent = 11.949  Prediction Error = 1.1282 
 Percent = 11.949  Prediction Error = 1.0392 
 Percent = 12.51  Prediction Error = 1.0392 
 Percent = 12.51  Prediction Error = 0.9502 
 Percent = 13.05  Prediction Error = 0.9502 
 Percent = 13.05  Prediction Error = 0.8612 
 Percent = 13.563  Prediction Error = 0.8612 
 Percent = 13.563  Prediction Error = 0.8167 
 Percent = 13.808  Prediction Error = 0.8167 
 Percent = 13.808  Prediction Error = 0.7722 
 Percent = 14.044  Prediction Error = 0.7722 
 Percent = 14.044  Prediction Error = 0.7277 
 Percent = 14.272  Prediction Error = 0.7277 
 Percent = 14.272  Prediction Error = 0.6832 
 Percent = 14.49  Prediction Error = 0.6832 
 Percent = 14.49  Prediction Error = 0.6387 
 Percent = 14.698  Prediction Error = 0.6387 
 Percent = 14.698  Prediction Error = 0.5941 
 Percent = 14.895  Prediction Error = 0.5941 
 Percent = 14.895  Prediction Error = 0.5496 
 Percent = 15.08  Prediction Error = 0.5496 
 Percent = 15.08  Prediction Error = 0.5051 
 Percent = 15.254  Prediction Error = 0.5051 
 Percent = 15.254  Prediction Error = 0.4606 
 Percent = 15.416  Prediction Error = 0.4606 
 Percent = 15.416  Prediction Error = 0.4161 
 Percent = 15.566  Prediction Error = 0.4161 
 Percent = 15.566  Prediction Error = 0.3716 
 Percent = 15.702  Prediction Error = 0.3716 
 Percent = 15.702  Prediction Error = 0.3271 
 Percent = 15.825  Prediction Error = 0.3271 
 Percent = 15.825  Prediction Error = 0.2826 
 Percent = 15.934  Prediction Error = 0.2826 
 Percent = 15.934  Prediction Error = 0.2381 
 Percent = 16.03  Prediction Error = 0.2381 
 Percent = 16.03  Prediction Error = 0.1936 
 Percent = 16.111  Prediction Error = 0.1936 
 Percent = 16.111  Prediction Error = 0.1491 
 Percent = 16.178  Prediction Error = 0.1491 
 Percent = 16.178  Prediction Error = 0.1046 
 Percent = 16.23  Prediction Error = 0.1046 
 Percent = 16.23  Prediction Error = 0.0601 
 Percent = 16.267  Prediction Error = 0.0601 
 Percent = 16.267  Prediction Error = 0.0155 
 Percent = 16.29  Prediction Error = 0.0155 
 Percent = 16.29  Prediction Error = -0.029 
 Percent = 16.297  Prediction Error = -0.029 
 Percent = 16.297  Prediction Error = -0.073 
 Percent = 16.29  Prediction Error = -0.073 
 Percent = 16.29  Prediction Error = -0.118 
 Percent = 16.267  Prediction Error = -0.118 
 Percent = 16.267  Prediction Error = -0.162 
 Percent = 16.23  Prediction Error = -0.162 
 Percent = 16.23  Prediction Error = -0.207 
 Percent = 16.178  Prediction Error = -0.207 
 Percent = 16.178  Prediction Error = -0.252 
 Percent = 16.111  Prediction Error = -0.252 
 Percent = 16.111  Prediction Error = -0.296 
 Percent = 16.03  Prediction Error = -0.296 
 Percent = 16.03  Prediction Error = -0.341 
 Percent = 15.934  Prediction Error = -0.341 
 Percent = 15.934  Prediction Error = -0.385 
 Percent = 15.825  Prediction Error = -0.385 
 Percent = 15.825  Prediction Error = -0.43 
 Percent = 15.702  Prediction Error = -0.43 
 Percent = 15.702  Prediction Error = -0.474 
 Percent = 15.566  Prediction Error = -0.474 
 Percent = 15.566  Prediction Error = -0.519 
 Percent = 15.416  Prediction Error = -0.519 
 Percent = 15.416  Prediction Error = -0.563 
 Percent = 15.254  Prediction Error = -0.563 
 Percent = 15.254  Prediction Error = -0.608 
 Percent = 15.08  Prediction Error = -0.608 
 Percent = 15.08  Prediction Error = -0.652 
 Percent = 14.895  Prediction Error = -0.652 
 Percent = 14.895  Prediction Error = -0.697 
 Percent = 14.698  Prediction Error = -0.697 
 Percent = 14.698  Prediction Error = -0.741 
 Percent = 14.49  Prediction Error = -0.741 
 Percent = 14.49  Prediction Error = -0.786 
 Percent = 14.272  Prediction Error = -0.786 
 Percent = 14.272  Prediction Error = -0.83 
 Percent = 14.044  Prediction Error = -0.83 
 Percent = 14.044  Prediction Error = -0.875 
 Percent = 13.808  Prediction Error = -0.875 
 Percent = 13.808  Prediction Error = -0.919 
 Percent = 13.563  Prediction Error = -0.919 
 Percent = 13.563  Prediction Error = -1.008 
 Percent = 13.05  Prediction Error = -1.008 
 Percent = 13.05  Prediction Error = -1.097 
 Percent = 12.51  Prediction Error = -1.097 
 Percent = 12.51  Prediction Error = -1.631 
 Percent = 8.9885  Prediction Error = -1.631 
 Percent = 8.9885  Prediction Error = -1.809 
 Percent = 7.8175  Prediction Error = -1.809 
 Percent = 7.8175  Prediction Error = -1.943 
 Percent = 6.973  Prediction Error = -1.943 
 Percent = 6.973  Prediction Error = -2.032 
 Percent = 6.4317  Prediction Error = -2.032 
 Percent = 6.4317  Prediction Error = -2.121 
 Percent = 5.9106  Prediction Error = -2.121 
 Percent = 5.9106  Prediction Error = -2.21 
 Percent = 5.4119  Prediction Error = -2.21 
 Percent = 5.4119  Prediction Error = -2.299 
 Percent = 4.9371  Prediction Error = -2.299 
 Percent = 4.9371  Prediction Error = -2.388 
 Percent = 4.4874  Prediction Error = -2.388 
 Percent = 4.4874  Prediction Error = -2.432 
 Percent = 4.2722  Prediction Error = -2.432 
 Percent = 4.2722  Prediction Error = -2.477 
 Percent = 4.0637  Prediction Error = -2.477 
 Percent = 4.0637  Prediction Error = -2.521 
 Percent = 3.8618  Prediction Error = -2.521 
 Percent = 3.8618  Prediction Error = -2.566 
 Percent = 3.6665  Prediction Error = -2.566 
 Percent = 3.6665  Prediction Error = -2.61 
 Percent = 3.478  Prediction Error = -2.61 
 Percent = 3.478  Prediction Error = -2.655 
 Percent = 3.2961  Prediction Error = -2.655 
 Percent = 3.2961  Prediction Error = -2.699 
 Percent = 3.1208  Prediction Error = -2.699 
 Percent = 3.1208  Prediction Error = -2.744 
 Percent = 2.9522  Prediction Error = -2.744 
 Percent = 2.9522  Prediction Error = -2.788 
 Percent = 2.7901  Prediction Error = -2.788 
 Percent = 2.7901  Prediction Error = -2.833 
 Percent = 2.6344  Prediction Error = -2.833 
 Percent = 2.6344  Prediction Error = -2.877 
 Percent = 2.4852  Prediction Error = -2.877 
 Percent = 2.4852  Prediction Error = -2.922 
 Percent = 2.3423  Prediction Error = -2.922 
 Percent = 2.3423  Prediction Error = -2.966 
 Percent = 2.2056  Prediction Error = -2.966 
 Percent = 2.2056  Prediction Error = -3.011 
 Percent = 2.0749  Prediction Error = -3.011 
 Percent = 2.0749  Prediction Error = -3.056 
 Percent = 1.9502  Prediction Error = -3.056 
 Percent = 1.9502  Prediction Error = -3.1 
 Percent = 1.8313  Prediction Error = -3.1 
 Percent = 1.8313  Prediction Error = -3.145 
 Percent = 1.7181  Prediction Error = -3.145 
 Percent = 1.7181  Prediction Error = -3.189 
 Percent = 1.6104  Prediction Error = -3.189 
 Percent = 1.6104  Prediction Error = -3.234 
 Percent = 1.5081  Prediction Error = -3.234 
 Percent = 1.5081  Prediction Error = -3.278 
 Percent = 1.4109  Prediction Error = -3.278 
 Percent = 1.4109  Prediction Error = -3.323 
 Percent = 1.3188  Prediction Error = -3.323 
 Percent = 1.3188  Prediction Error = -3.367 
 Percent = 1.2316  Prediction Error = -3.367 
 Percent = 1.2316  Prediction Error = -3.412 
 Percent = 1.1491  Prediction Error = -3.412 
 Percent = 1.1491  Prediction Error = -3.456 
 Percent = 1.0712  Prediction Error = -3.456 
 Percent = 1.0712  Prediction Error = -3.501 
 Percent = 0.9976  Prediction Error = -3.501 
 Percent = 0.9976  Prediction Error = -3.545 
 Percent = 0.9282  Prediction Error = -3.545 
 Percent = 0.9282  Prediction Error = -3.59 
 Percent = 0.8629  Prediction Error = -3.59 
 Percent = 0.8629  Prediction Error = -3.634 
 Percent = 0.8014  Prediction Error = -3.634 
 Percent = 0.8014  Prediction Error = -3.679 
 Percent = 0.7436  Prediction Error = -3.679 
 Percent = 0.7436  Prediction Error = -3.723 
 Percent = 0.6893  Prediction Error = -3.723 
 Percent = 0.6893  Prediction Error = -3.768 
 Percent = 0.6385  Prediction Error = -3.768 
 Percent = 0.6385  Prediction Error = -3.812 
 Percent = 0.5908  Prediction Error = -3.812 
 Percent = 0.5908  Prediction Error = -3.857 
 Percent = 0.5462  Prediction Error = -3.857 
 Percent = 0.5462  Prediction Error = -3.901 
 Percent = 0.5045  Prediction Error = -3.901 
 Percent = 0.5045  Prediction Error = -3.946 
 Percent = 0.4655  Prediction Error = -3.946 
 Percent = 0.4655  Prediction Error = -3.99 
 Percent = 0.4292  Prediction Error = -3.99 
 Percent = 0.4292  Prediction Error = -4.035 
 Percent = 0.3953  Prediction Error = -4.035 
 Percent = 0.3953  Prediction Error = -4.079 
 Percent = 0.3638  Prediction Error = -4.079 
 Percent = 0.3638  Prediction Error = -4.124 
 Percent = 0.3345  Prediction Error = -4.124 
 Percent = 0.3345  Prediction Error = -4.168 
 Percent = 0.3073  Prediction Error = -4.168 
 Percent = 0.3073  Prediction Error = -4.213 
 Percent = 0.282  Prediction Error = -4.213 
 Percent = 0.282  Prediction Error = -4.257 
 Percent = 0.2585  Prediction Error = -4.257 
 Percent = 0.2585  Prediction Error = -4.302 
 Percent = 0.2368  Prediction Error = -4.302 
 Percent = 0.2368  Prediction Error = -4.346 
 Percent = 0.2167  Prediction Error = -4.346 
 Percent = 0.2167  Prediction Error = -4.391 
 Percent = 0.1982  Prediction Error = -4.391 
 Percent = 0.1982  Prediction Error = -4.435 
 Percent = 0.181  Prediction Error = 3 
 Percent = 0.8929  Prediction Error = 3 
 Percent = 0.8929  Prediction Error = 2.4 
 Percent = 1.3393  Prediction Error = 2.4 
 Percent = 1.3393  Prediction Error = 1.8 
 Percent = 18.304  Prediction Error = 1.8 
 Percent = 18.304  Prediction Error = 1.2 
 Percent = 17.857  Prediction Error = 1.2 
 Percent = 17.857  Prediction Error = 0.6 
 Percent = 7.5893  Prediction Error = 0.6 
 Percent = 7.5893  Prediction Error = 0 
 Percent = 6.6964  Prediction Error = 0 
 Percent = 6.6964  Prediction Error = -0.6 
 Percent = 9.8214  Prediction Error = -0.6 
 Percent = 9.8214  Prediction Error = -1.2 
 Percent = 16.071  Prediction Error = -1.2 
 Percent = 16.071  Prediction Error = -1.8 
 Percent = 16.964  Prediction Error = -1.8 
 Percent = 16.964  Prediction Error = -2.4 
 Percent = 3.125  Prediction Error = -2.4 
 Percent = 3.125  Prediction Error = -3 
 Percent = 1.3393  Prediction Error = -3 
 Percent = 1.3393  Quantile = 2.7718 
 Residual = 3  Quantile = 2.4448 
 Residual = 3  Quantile = 2.2667 
 Residual = 2.5  Quantile = 2.1403 
 Residual = 2.2857  Quantile = 2.041 
 Residual = 2.2857  Quantile = 1.9585 
 Residual = 2  Quantile = 1.8876 
 Residual = 2  Quantile = 1.825 
 Residual = 2  Quantile = 1.7688 
 Residual = 2  Quantile = 1.7178 
 Residual = 2  Quantile = 1.6708 
 Residual = 2  Quantile = 1.6273 
 Residual = 2  Quantile = 1.5866 
 Residual = 2  Quantile = 1.5484 
 Residual = 1.8889  Quantile = 1.5124 
 Residual = 1.8  Quantile = 1.4782 
 Residual = 1.8  Quantile = 1.4457 
 Residual = 1.7857  Quantile = 1.4146 
 Residual = 1.7778  Quantile = 1.3848 
 Residual = 1.75  Quantile = 1.3562 
 Residual = 1.75  Quantile = 1.3287 
 Residual = 1.7143  Quantile = 1.3022 
 Residual = 1.7059  Quantile = 1.2765 
 Residual = 1.7  Quantile = 1.2516 
 Residual = 1.6923  Quantile = 1.2275 
 Residual = 1.6842  Quantile = 1.2041 
 Residual = 1.6667  Quantile = 1.1814 
 Residual = 1.6667  Quantile = 1.1592 
 Residual = 1.6667  Quantile = 1.1376 
 Residual = 1.6429  Quantile = 1.1165 
 Residual = 1.6364  Quantile = 1.0959 
 Residual = 1.6364  Quantile = 1.0757 
 Residual = 1.6154  Quantile = 1.056 
 Residual = 1.6  Quantile = 1.0367 
 Residual = 1.6  Quantile = 1.0177 
 Residual = 1.6  Quantile = 0.9991 
 Residual = 1.6  Quantile = 0.9809 
 Residual = 1.5789  Quantile = 0.963 
 Residual = 1.5714  Quantile = 0.9453 
 Residual = 1.5714  Quantile = 0.928 
 Residual = 1.5625  Quantile = 0.911 
 Residual = 1.5625  Quantile = 0.8942 
 Residual = 1.5556  Quantile = 0.8776 
 Residual = 1.5385  Quantile = 0.8613 
 Residual = 1.5  Quantile = 0.8452 
 Residual = 1.5  Quantile = 0.8293 
 Residual = 1.5  Quantile = 0.8137 
 Residual = 1.5  Quantile = 0.7982 
 Residual = 1.5  Quantile = 0.7829 
 Residual = 1.4706  Quantile = 0.7678 
 Residual = 1.4667  Quantile = 0.7529 
 Residual = 1.4545  Quantile = 0.7381 
 Residual = 1.4444  Quantile = 0.7235 
 Residual = 1.4444  Quantile = 0.7091 
 Residual = 1.4375  Quantile = 0.6948 
 Residual = 1.4286  Quantile = 0.6806 
 Residual = 1.3889  Quantile = 0.6666 
 Residual = 1.3846  Quantile = 0.6527 
 Residual = 1.375  Quantile = 0.639 
 Residual = 1.375  Quantile = 0.6253 
 Residual = 1.375  Quantile = 0.6118 
 Residual = 1.375  Quantile = 0.5983 
 Residual = 1.3684  Quantile = 0.585 
 Residual = 1.3333  Quantile = 0.5718 
 Residual = 1.3077  Quantile = 0.5587 
 Residual = 1.3  Quantile = 0.5457 
 Residual = 1.2941  Quantile = 0.5328 
 Residual = 1.2857  Quantile = 0.5199 
 Residual = 1.2727  Quantile = 0.5072 
 Residual = 1.25  Quantile = 0.4945 
 Residual = 1.25  Quantile = 0.4819 
 Residual = 1.2222  Quantile = 0.4694 
 Residual = 1.2222  Quantile = 0.4569 
 Residual = 1.2222  Quantile = 0.4446 
 Residual = 1.2143  Quantile = 0.4323 
 Residual = 1.1667  Quantile = 0.42 
 Residual = 1.1  Quantile = 0.4078 
 Residual = 1  Quantile = 0.3957 
 Residual = 1  Quantile = 0.3837 
 Residual = 1  Quantile = 0.3717 
 Residual = 1  Quantile = 0.3597 
 Residual = 1  Quantile = 0.3478 
 Residual = 1  Quantile = 0.336 
 Residual = 0.9412  Quantile = 0.3242 
 Residual = 0.9333  Quantile = 0.3124 
 Residual = 0.9231  Quantile = 0.3007 
 Residual = 0.9167  Quantile = 0.289 
 Residual = 0.8889  Quantile = 0.2774 
 Residual = 0.8571  Quantile = 0.2658 
 Residual = 0.8333  Quantile = 0.2542 
 Residual = 0.8  Quantile = 0.2427 
 Residual = 0.7895  Quantile = 0.2312 
 Residual = 0.7778  Quantile = 0.2197 
 Residual = 0.75  Quantile = 0.2083 
 Residual = 0.75  Quantile = 0.1969 
 Residual = 0.75  Quantile = 0.1855 
 Residual = 0.6667  Quantile = 0.1741 
 Residual = 0.6471  Quantile = 0.1628 
 Residual = 0.6364  Quantile = 0.1515 
 Residual = 0.6  Quantile = 0.1402 
 Residual = 0.6  Quantile = 0.1289 
 Residual = 0.5556  Quantile = 0.1176 
 Residual = 0.5  Quantile = 0.1064 
 Residual = 0.4286  Quantile = 0.0952 
 Residual = 0.2  Quantile = 0.0839 
 Residual = 0.2  Quantile = 0.0727 
 Residual = 0.1875  Quantile = 0.0615 
 Residual = 0.1818  Quantile = 0.0503 
 Residual = 0.1  Quantile = 0.0391 
 Residual = 9.1E-8  Quantile = 0.0279 
 Residual = 8.3E-8  Quantile = 0.0168 
 Residual = 2.1E-8  Quantile = 0.0056 
 Residual = 46E-11  Quantile = -0.006 
 Residual = 0  Quantile = -0.017 
 Residual = -13E-9  Quantile = -0.028 
 Residual = -3E-8  Quantile = -0.039 
 Residual = -0.071  Quantile = -0.05 
 Residual = -0.222  Quantile = -0.062 
 Residual = -0.231  Quantile = -0.073 
 Residual = -0.312  Quantile = -0.084 
 Residual = -0.385  Quantile = -0.095 
 Residual = -0.467  Quantile = -0.106 
 Residual = -0.5  Quantile = -0.118 
 Residual = -0.5  Quantile = -0.129 
 Residual = -0.5  Quantile = -0.14 
 Residual = -0.5  Quantile = -0.151 
 Residual = -0.529  Quantile = -0.163 
 Residual = -0.545  Quantile = -0.174 
 Residual = -0.571  Quantile = -0.185 
 Residual = -0.588  Quantile = -0.197 
 Residual = -0.667  Quantile = -0.208 
 Residual = -0.667  Quantile = -0.22 
 Residual = -0.667  Quantile = -0.231 
 Residual = -0.778  Quantile = -0.243 
 Residual = -0.8  Quantile = -0.254 
 Residual = -0.8  Quantile = -0.266 
 Residual = -0.824  Quantile = -0.277 
 Residual = -0.833  Quantile = -0.289 
 Residual = -0.833  Quantile = -0.301 
 Residual = -0.867  Quantile = -0.312 
 Residual = -0.889  Quantile = -0.324 
 Residual = -1  Quantile = -0.336 
 Residual = -1  Quantile = -0.348 
 Residual = -1  Quantile = -0.36 
 Residual = -1  Quantile = -0.372 
 Residual = -1  Quantile = -0.384 
 Residual = -1  Quantile = -0.396 
 Residual = -1.125  Quantile = -0.408 
 Residual = -1.154  Quantile = -0.42 
 Residual = -1.167  Quantile = -0.432 
 Residual = -1.2  Quantile = -0.445 
 Residual = -1.25  Quantile = -0.457 
 Residual = -1.278  Quantile = -0.469 
 Residual = -1.294  Quantile = -0.482 
 Residual = -1.333  Quantile = -0.494 
 Residual = -1.333  Quantile = -0.507 
 Residual = -1.333  Quantile = -0.52 
 Residual = -1.333  Quantile = -0.533 
 Residual = -1.353  Quantile = -0.546 
 Residual = -1.385  Quantile = -0.559 
 Residual = -1.389  Quantile = -0.572 
 Residual = -1.389  Quantile = -0.585 
 Residual = -1.4  Quantile = -0.598 
 Residual = -1.4  Quantile = -0.612 
 Residual = -1.4  Quantile = -0.625 
 Residual = -1.417  Quantile = -0.639 
 Residual = -1.429  Quantile = -0.653 
 Residual = -1.429  Quantile = -0.667 
 Residual = -1.429  Quantile = -0.681 
 Residual = -1.438  Quantile = -0.695 
 Residual = -1.438  Quantile = -0.709 
 Residual = -1.455  Quantile = -0.724 
 Residual = -1.455  Quantile = -0.738 
 Residual = -1.5  Quantile = -0.753 
 Residual = -1.5  Quantile = -0.768 
 Residual = -1.5  Quantile = -0.783 
 Residual = -1.5  Quantile = -0.798 
 Residual = -1.5  Quantile = -0.814 
 Residual = -1.5  Quantile = -0.829 
 Residual = -1.5  Quantile = -0.845 
 Residual = -1.5  Quantile = -0.861 
 Residual = -1.5  Quantile = -0.878 
 Residual = -1.5  Quantile = -0.894 
 Residual = -1.533  Quantile = -0.911 
 Residual = -1.556  Quantile = -0.928 
 Residual = -1.579  Quantile = -0.945 
 Residual = -1.588  Quantile = -0.963 
 Residual = -1.6  Quantile = -0.981 
 Residual = -1.6  Quantile = -0.999 
 Residual = -1.647  Quantile = -1.018 
 Residual = -1.667  Quantile = -1.037 
 Residual = -1.667  Quantile = -1.056 
 Residual = -1.667  Quantile = -1.076 
 Residual = -1.667  Quantile = -1.096 
 Residual = -1.684  Quantile = -1.116 
 Residual = -1.687  Quantile = -1.138 
 Residual = -1.714  Quantile = -1.159 
 Residual = -1.714  Quantile = -1.181 
 Residual = -1.75  Quantile = -1.204 
 Residual = -1.778  Quantile = -1.228 
 Residual = -1.786  Quantile = -1.252 
 Residual = -1.8  Quantile = -1.276 
 Residual = -1.833  Quantile = -1.302 
 Residual = -1.833  Quantile = -1.329 
 Residual = -1.842  Quantile = -1.356 
 Residual = -1.846  Quantile = -1.385 
 Residual = -1.857  Quantile = -1.415 
 Residual = -1.909  Quantile = -1.446 
 Residual = -1.923  Quantile = -1.478 
 Residual = -2  Quantile = -1.512 
 Residual = -2  Quantile = -1.548 
 Residual = -2  Quantile = -1.587 
 Residual = -2  Quantile = -1.627 
 Residual = -2  Quantile = -1.671 
 Residual = -2  Quantile = -1.718 
 Residual = -2.158  Quantile = -1.769 
 Residual = -2.2  Quantile = -1.825 
 Residual = -2.25  Quantile = -1.888 
 Residual = -2.286  Quantile = -1.959 
 Residual = -2.333  Quantile = -2.041 
 Residual = -2.455  Quantile = -2.14 
 Residual = -2.667  Quantile = -2.267 
 Residual = -3  Quantile = -2.445 
 Residual = -3  Quantile = -2.772 
 Residual = -3  Slope = 1.4688 
 Y = -0.029  Lag = 24 
 ACF = 0.0439  Lag = 23 
 ACF = -0.017  Lag = 22 
 ACF = 0.03  Lag = 21 
 ACF = -0.073  Lag = 20 
 ACF = -0.018  Lag = 19 
 ACF = 0.054  Lag = 18 
 ACF = 0.041  Lag = 17 
 ACF = -0.016  Lag = 16 
 ACF = -0.055  Lag = 15 
 ACF = -0.082  Lag = 14 
 ACF = 0.0305  Lag = 13 
 ACF = -0.072  Lag = 12 
 ACF = -0.055  Lag = 11 
 ACF = -0.03  Lag = 10 
 ACF = 0.0602  Lag = 9 
 ACF = 0.0323  Lag = 8 
 ACF = 0.079  Lag = 7 
 ACF = -0.068  Lag = 6 
 ACF = 0.0881  Lag = 5 
 ACF = -0.051  Lag = 4 
 ACF = 0.0775  Lag = 3 
 ACF = -0.028  Lag = 2 
 ACF = 0.141  Lag = 1 
 ACF = -0.104  Lag = 0 
 ACF = 1  Lag = 24 
 Lower = -0.146 
 Upper = 0.1458  Lag = 23 
 Lower = -0.146 
 Upper = 0.1457  Lag = 23 
 Lower = -0.146 
 Upper = 0.1457  Lag = 22 
 Lower = -0.146 
 Upper = 0.1456  Lag = 22 
 Lower = -0.146 
 Upper = 0.1456  Lag = 21 
 Lower = -0.145 
 Upper = 0.145  Lag = 21 
 Lower = -0.145 
 Upper = 0.145  Lag = 20 
 Lower = -0.145 
 Upper = 0.1449  Lag = 20 
 Lower = -0.145 
 Upper = 0.1449  Lag = 19 
 Lower = -0.145 
 Upper = 0.1446  Lag = 19 
 Lower = -0.145 
 Upper = 0.1446  Lag = 18 
 Lower = -0.144 
 Upper = 0.1444  Lag = 18 
 Lower = -0.144 
 Upper = 0.1444  Lag = 17 
 Lower = -0.144 
 Upper = 0.1443  Lag = 17 
 Lower = -0.144 
 Upper = 0.1443  Lag = 16 
 Lower = -0.144 
 Upper = 0.1439  Lag = 16 
 Lower = -0.144 
 Upper = 0.1439  Lag = 15 
 Lower = -0.143 
 Upper = 0.1431  Lag = 15 
 Lower = -0.143 
 Upper = 0.1431  Lag = 14 
 Lower = -0.143 
 Upper = 0.143  Lag = 14 
 Lower = -0.143 
 Upper = 0.143  Lag = 13 
 Lower = -0.142 
 Upper = 0.1424  Lag = 13 
 Lower = -0.142 
 Upper = 0.1424  Lag = 12 
 Lower = -0.142 
 Upper = 0.142  Lag = 12 
 Lower = -0.142 
 Upper = 0.142  Lag = 11 
 Lower = -0.142 
 Upper = 0.1419  Lag = 11 
 Lower = -0.142 
 Upper = 0.1419  Lag = 10 
 Lower = -0.141 
 Upper = 0.1414  Lag = 10 
 Lower = -0.141 
 Upper = 0.1414  Lag = 9 
 Lower = -0.141 
 Upper = 0.1413  Lag = 9 
 Lower = -0.141 
 Upper = 0.1413  Lag = 8 
 Lower = -0.14 
 Upper = 0.1405  Lag = 8 
 Lower = -0.14 
 Upper = 0.1405  Lag = 7 
 Lower = -0.14 
 Upper = 0.1399  Lag = 7 
 Lower = -0.14 
 Upper = 0.1399  Lag = 6 
 Lower = -0.139 
 Upper = 0.1389  Lag = 6 
 Lower = -0.139 
 Upper = 0.1389  Lag = 5 
 Lower = -0.139 
 Upper = 0.1386  Lag = 5 
 Lower = -0.139 
 Upper = 0.1386  Lag = 4 
 Lower = -0.138 
 Upper = 0.1378  Lag = 4 
 Lower = -0.138 
 Upper = 0.1378  Lag = 3 
 Lower = -0.138 
 Upper = 0.1377  Lag = 3 
 Lower = -0.138 
 Upper = 0.1377  Lag = 2 
 Lower = -0.135 
 Upper = 0.1351  Lag = 2 
 Lower = -0.135 
 Upper = 0.1351  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336  Lag = 0 
 Lower = 0 
 Upper = 0  Lag = 24 
 PACF = 0.0427  Lag = 23 
 PACF = 0.0077  Lag = 22 
 PACF = 0.0326  Lag = 21 
 PACF = -0.07  Lag = 20 
 PACF = -0.016  Lag = 19 
 PACF = 0.078  Lag = 18 
 PACF = 0.0494  Lag = 17 
 PACF = -0.007  Lag = 16 
 PACF = -0.076  Lag = 15 
 PACF = -0.056  Lag = 14 
 PACF = 0.0233  Lag = 13 
 PACF = -0.076  Lag = 12 
 PACF = -0.091  Lag = 11 
 PACF = -0.022  Lag = 10 
 PACF = 0.0442  Lag = 9 
 PACF = 0.0648  Lag = 8 
 PACF = 0.0476  Lag = 7 
 PACF = -0.044  Lag = 6 
 PACF = 0.0648  Lag = 5 
 PACF = -0.036  Lag = 4 
 PACF = 0.0579  Lag = 3 
 PACF = -0.001  Lag = 2 
 PACF = 0.1315  Lag = 1 
 PACF = -0.104  Lag = 24 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 23 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 22 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 21 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 20 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 19 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 18 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 17 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 16 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 15 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 14 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 13 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 12 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 11 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 10 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 9 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 8 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 7 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 6 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 5 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 4 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 3 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 2 
 Lower = -0.134 
 Upper = 0.1336  Lag = 1 
 Lower = -0.134 
 Upper = 0.1336
PanelResidualPlot

Residuals With A Smoother

 Date_of_death = Aug2019 
 Loess Fit = -0.063  Date_of_death = Jun2019 
 Loess Fit = -0.062  Date_of_death = Jun2019 
 Loess Fit = -0.062  Date_of_death = May2019 
 Loess Fit = -0.061  Date_of_death = May2019 
 Loess Fit = -0.061  Date_of_death = Apr2019 
 Loess Fit = -0.06  Date_of_death = Apr2019 
 Loess Fit = -0.06  Date_of_death = Mar2019 
 Loess Fit = -0.059  Date_of_death = Mar2019 
 Loess Fit = -0.059  Date_of_death = Feb2019 
 Loess Fit = -0.058  Date_of_death = Feb2019 
 Loess Fit = -0.058  Date_of_death = Jan2019 
 Loess Fit = -0.057  Date_of_death = Jan2019 
 Loess Fit = -0.057  Date_of_death = Dec2018 
 Loess Fit = -0.056  Date_of_death = Dec2018 
 Loess Fit = -0.056  Date_of_death = Nov2018 
 Loess Fit = -0.055  Date_of_death = Nov2018 
 Loess Fit = -0.055  Date_of_death = Sep2018 
 Loess Fit = -0.054  Date_of_death = Sep2018 
 Loess Fit = -0.054  Date_of_death = Aug2018 
 Loess Fit = -0.053  Date_of_death = Aug2018 
 Loess Fit = -0.053  Date_of_death = Jul2018 
 Loess Fit = -0.052  Date_of_death = Jul2018 
 Loess Fit = -0.052  Date_of_death = Jun2018 
 Loess Fit = -0.051  Date_of_death = Jun2018 
 Loess Fit = -0.051  Date_of_death = May2018 
 Loess Fit = -0.05  Date_of_death = May2018 
 Loess Fit = -0.05  Date_of_death = Apr2018 
 Loess Fit = -0.049  Date_of_death = Apr2018 
 Loess Fit = -0.049  Date_of_death = Mar2018 
 Loess Fit = -0.049  Date_of_death = Mar2018 
 Loess Fit = -0.049  Date_of_death = Feb2018 
 Loess Fit = -0.048  Date_of_death = Feb2018 
 Loess Fit = -0.048  Date_of_death = Jan2018 
 Loess Fit = -0.047  Date_of_death = Jan2018 
 Loess Fit = -0.047  Date_of_death = Nov2017 
 Loess Fit = -0.046  Date_of_death = Nov2017 
 Loess Fit = -0.046  Date_of_death = Oct2017 
 Loess Fit = -0.045  Date_of_death = Oct2017 
 Loess Fit = -0.045  Date_of_death = Sep2017 
 Loess Fit = -0.045  Date_of_death = Sep2017 
 Loess Fit = -0.045  Date_of_death = Aug2017 
 Loess Fit = -0.044  Date_of_death = Aug2017 
 Loess Fit = -0.044  Date_of_death = Jul2017 
 Loess Fit = -0.043  Date_of_death = Jul2017 
 Loess Fit = -0.043  Date_of_death = Jun2017 
 Loess Fit = -0.042  Date_of_death = Jun2017 
 Loess Fit = -0.042  Date_of_death = May2017 
 Loess Fit = -0.042  Date_of_death = May2017 
 Loess Fit = -0.042  Date_of_death = Apr2017 
 Loess Fit = -0.041  Date_of_death = Apr2017 
 Loess Fit = -0.041  Date_of_death = Mar2017 
 Loess Fit = -0.037  Date_of_death = Mar2017 
 Loess Fit = -0.037  Date_of_death = Jan2017 
 Loess Fit = -0.032  Date_of_death = Jan2017 
 Loess Fit = -0.032  Date_of_death = Dec2016 
 Loess Fit = -0.027  Date_of_death = Dec2016 
 Loess Fit = -0.027  Date_of_death = Nov2016 
 Loess Fit = -0.023  Date_of_death = Nov2016 
 Loess Fit = -0.023  Date_of_death = Oct2016 
 Loess Fit = -0.018  Date_of_death = Oct2016 
 Loess Fit = -0.018  Date_of_death = Sep2016 
 Loess Fit = -0.014  Date_of_death = Sep2016 
 Loess Fit = -0.014  Date_of_death = Aug2016 
 Loess Fit = -0.009  Date_of_death = Aug2016 
 Loess Fit = -0.009  Date_of_death = Jul2016 
 Loess Fit = -0.004  Date_of_death = Jul2016 
 Loess Fit = -0.004  Date_of_death = Jun2016 
 Loess Fit = 0.0003  Date_of_death = Jun2016 
 Loess Fit = 0.0003  Date_of_death = Apr2016 
 Loess Fit = 0.0049  Date_of_death = Apr2016 
 Loess Fit = 0.0049  Date_of_death = Mar2016 
 Loess Fit = 0.0095  Date_of_death = Mar2016 
 Loess Fit = 0.0095  Date_of_death = Feb2016 
 Loess Fit = 0.0142  Date_of_death = Feb2016 
 Loess Fit = 0.0142  Date_of_death = Jan2016 
 Loess Fit = 0.0181  Date_of_death = Jan2016 
 Loess Fit = 0.0181  Date_of_death = Dec2015 
 Loess Fit = 0.0206  Date_of_death = Dec2015 
 Loess Fit = 0.0206  Date_of_death = Nov2015 
 Loess Fit = 0.0232  Date_of_death = Nov2015 
 Loess Fit = 0.0232  Date_of_death = Oct2015 
 Loess Fit = 0.0258  Date_of_death = Oct2015 
 Loess Fit = 0.0258  Date_of_death = Sep2015 
 Loess Fit = 0.0284  Date_of_death = Sep2015 
 Loess Fit = 0.0284  Date_of_death = Aug2015 
 Loess Fit = 0.0309  Date_of_death = Aug2015 
 Loess Fit = 0.0309  Date_of_death = Jun2015 
 Loess Fit = 0.0335  Date_of_death = Jun2015 
 Loess Fit = 0.0335  Date_of_death = May2015 
 Loess Fit = 0.0361  Date_of_death = May2015 
 Loess Fit = 0.0361  Date_of_death = Apr2015 
 Loess Fit = 0.0387  Date_of_death = Apr2015 
 Loess Fit = 0.0387  Date_of_death = Mar2015 
 Loess Fit = 0.0412  Date_of_death = Mar2015 
 Loess Fit = 0.0412  Date_of_death = Feb2015 
 Loess Fit = 0.0438  Date_of_death = Feb2015 
 Loess Fit = 0.0438  Date_of_death = Jan2015 
 Loess Fit = 0.0464  Date_of_death = Jan2015 
 Loess Fit = 0.0464  Date_of_death = Dec2014 
 Loess Fit = 0.049  Date_of_death = Dec2014 
 Loess Fit = 0.049  Date_of_death = Nov2014 
 Loess Fit = 0.0425  Date_of_death = Nov2014 
 Loess Fit = 0.0425  Date_of_death = Oct2014 
 Loess Fit = 0.0336  Date_of_death = Oct2014 
 Loess Fit = 0.0336  Date_of_death = Aug2014 
 Loess Fit = 0.0246  Date_of_death = Aug2014 
 Loess Fit = 0.0246  Date_of_death = Jul2014 
 Loess Fit = 0.0156  Date_of_death = Jul2014 
 Loess Fit = 0.0156  Date_of_death = Jun2014 
 Loess Fit = 0.0066  Date_of_death = Jun2014 
 Loess Fit = 0.0066  Date_of_death = May2014 
 Loess Fit = -0.002  Date_of_death = May2014 
 Loess Fit = -0.002  Date_of_death = Apr2014 
 Loess Fit = -0.011  Date_of_death = Apr2014 
 Loess Fit = -0.011  Date_of_death = Mar2014 
 Loess Fit = -0.02  Date_of_death = Mar2014 
 Loess Fit = -0.02  Date_of_death = Feb2014 
 Loess Fit = -0.029  Date_of_death = Feb2014 
 Loess Fit = -0.029  Date_of_death = Jan2014 
 Loess Fit = -0.038  Date_of_death = Jan2014 
 Loess Fit = -0.038  Date_of_death = Nov2013 
 Loess Fit = -0.047  Date_of_death = Nov2013 
 Loess Fit = -0.047  Date_of_death = Oct2013 
 Loess Fit = -0.056  Date_of_death = Oct2013 
 Loess Fit = -0.056  Date_of_death = Sep2013 
 Loess Fit = -0.063  Date_of_death = Sep2013 
 Loess Fit = -0.063  Date_of_death = Aug2013 
 Loess Fit = -0.063  Date_of_death = Aug2013 
 Loess Fit = -0.063  Date_of_death = Jul2013 
 Loess Fit = -0.062  Date_of_death = Jul2013 
 Loess Fit = -0.062  Date_of_death = Jun2013 
 Loess Fit = -0.062  Date_of_death = Jun2013 
 Loess Fit = -0.062  Date_of_death = May2013 
 Loess Fit = -0.061  Date_of_death = May2013 
 Loess Fit = -0.061  Date_of_death = Apr2013 
 Loess Fit = -0.061  Date_of_death = Apr2013 
 Loess Fit = -0.061  Date_of_death = Mar2013 
 Loess Fit = -0.06  Date_of_death = Mar2013 
 Loess Fit = -0.06  Date_of_death = Jan2013 
 Loess Fit = -0.06  Date_of_death = Jan2013 
 Loess Fit = -0.06  Date_of_death = Dec2012 
 Loess Fit = -0.059  Date_of_death = Dec2012 
 Loess Fit = -0.059  Date_of_death = Nov2012 
 Loess Fit = -0.059  Date_of_death = Nov2012 
 Loess Fit = -0.059  Date_of_death = Oct2012 
 Loess Fit = -0.058  Date_of_death = Oct2012 
 Loess Fit = -0.058  Date_of_death = Sep2012 
 Loess Fit = -0.057  Date_of_death = Sep2012 
 Loess Fit = -0.057  Date_of_death = Aug2012 
 Loess Fit = -0.057  Date_of_death = Aug2012 
 Loess Fit = -0.057  Date_of_death = Jul2012 
 Loess Fit = -0.052  Date_of_death = Jul2012 
 Loess Fit = -0.052  Date_of_death = Jun2012 
 Loess Fit = -0.046  Date_of_death = Jun2012 
 Loess Fit = -0.046  Date_of_death = May2012 
 Loess Fit = -0.04  Date_of_death = May2012 
 Loess Fit = -0.04  Date_of_death = Mar2012 
 Loess Fit = -0.033  Date_of_death = Mar2012 
 Loess Fit = -0.033  Date_of_death = Feb2012 
 Loess Fit = -0.027  Date_of_death = Feb2012 
 Loess Fit = -0.027  Date_of_death = Jan2012 
 Loess Fit = -0.02  Date_of_death = Jan2012 
 Loess Fit = -0.02  Date_of_death = Dec2011 
 Loess Fit = -0.014  Date_of_death = Dec2011 
 Loess Fit = -0.014  Date_of_death = Nov2011 
 Loess Fit = -0.007  Date_of_death = Nov2011 
 Loess Fit = -0.007  Date_of_death = Oct2011 
 Loess Fit = -66E-5  Date_of_death = Oct2011 
 Loess Fit = -66E-5  Date_of_death = Sep2011 
 Loess Fit = 0.0058  Date_of_death = Sep2011 
 Loess Fit = 0.0058  Date_of_death = Aug2011 
 Loess Fit = 0.0123  Date_of_death = Aug2011 
 Loess Fit = 0.0123  Date_of_death = Jul2011 
 Loess Fit = 0.0188  Date_of_death = Jul2011 
 Loess Fit = 0.0188  Date_of_death = May2011 
 Loess Fit = 0.0269  Date_of_death = May2011 
 Loess Fit = 0.0269  Date_of_death = Apr2011 
 Loess Fit = 0.0531  Date_of_death = Apr2011 
 Loess Fit = 0.0531  Date_of_death = Mar2011 
 Loess Fit = 0.0793  Date_of_death = Mar2011 
 Loess Fit = 0.0793  Date_of_death = Feb2011 
 Loess Fit = 0.1054  Date_of_death = Feb2011 
 Loess Fit = 0.1054  Date_of_death = Jan2011 
 Loess Fit = 0.1316  Date_of_death = Jan2011 
 Loess Fit = 0.1316  Date_of_death = Dec2010 
 Loess Fit = 0.1578  Date_of_death = Dec2010 
 Loess Fit = 0.1578  Date_of_death = Nov2010 
 Loess Fit = 0.184  Date_of_death = Nov2010 
 Loess Fit = 0.184  Date_of_death = Oct2010 
 Loess Fit = 0.2102  Date_of_death = Oct2010 
 Loess Fit = 0.2102  Date_of_death = Aug2010 
 Loess Fit = 0.2364  Date_of_death = Aug2010 
 Loess Fit = 0.2364  Date_of_death = Jul2010 
 Loess Fit = 0.2626  Date_of_death = Jul2010 
 Loess Fit = 0.2626  Date_of_death = Jun2010 
 Loess Fit = 0.2887  Date_of_death = Jun2010 
 Loess Fit = 0.2887  Date_of_death = May2010 
 Loess Fit = 0.3149  Date_of_death = May2010 
 Loess Fit = 0.3149  Date_of_death = Apr2010 
 Loess Fit = 0.3411  Date_of_death = Apr2010 
 Loess Fit = 0.3411  Date_of_death = Mar2010 
 Loess Fit = 0.3553  Date_of_death = Mar2010 
 Loess Fit = 0.3553  Date_of_death = Feb2010 
 Loess Fit = 0.3588  Date_of_death = Feb2010 
 Loess Fit = 0.3588  Date_of_death = Jan2010 
 Loess Fit = 0.3623  Date_of_death = Jan2010 
 Loess Fit = 0.3623  Date_of_death = Dec2009 
 Loess Fit = 0.3658  Date_of_death = Dec2009 
 Loess Fit = 0.3658  Date_of_death = Oct2009 
 Loess Fit = 0.3693  Date_of_death = Oct2009 
 Loess Fit = 0.3693  Date_of_death = Sep2009 
 Loess Fit = 0.3728  Date_of_death = Sep2009 
 Loess Fit = 0.3728  Date_of_death = Aug2009 
 Loess Fit = 0.3763  Date_of_death = Aug2009 
 Loess Fit = 0.3763  Date_of_death = Jul2009 
 Loess Fit = 0.3798  Date_of_death = Jul2009 
 Loess Fit = 0.3798  Date_of_death = Jun2009 
 Loess Fit = 0.3833  Date_of_death = Jun2009 
 Loess Fit = 0.3833  Date_of_death = May2009 
 Loess Fit = 0.3868  Date_of_death = May2009 
 Loess Fit = 0.3868  Date_of_death = Apr2009 
 Loess Fit = 0.3903  Date_of_death = Apr2009 
 Loess Fit = 0.3903  Date_of_death = Mar2009 
 Loess Fit = 0.3937  Date_of_death = Mar2009 
 Loess Fit = 0.3937  Date_of_death = Jan2009 
 Loess Fit = 0.3964  Date_of_death = Jan2009 
 Loess Fit = 0.3964  Date_of_death = Dec2008 
 Loess Fit = 0.3724  Date_of_death = Dec2008 
 Loess Fit = 0.3724  Date_of_death = Nov2008 
 Loess Fit = 0.3484  Date_of_death = Nov2008 
 Loess Fit = 0.3484  Date_of_death = Oct2008 
 Loess Fit = 0.3244  Date_of_death = Oct2008 
 Loess Fit = 0.3244  Date_of_death = Sep2008 
 Loess Fit = 0.3004  Date_of_death = Sep2008 
 Loess Fit = 0.3004  Date_of_death = Aug2008 
 Loess Fit = 0.2764  Date_of_death = Aug2008 
 Loess Fit = 0.2764  Date_of_death = Jul2008 
 Loess Fit = 0.2524  Date_of_death = Jul2008 
 Loess Fit = 0.2524  Date_of_death = Jun2008 
 Loess Fit = 0.2284  Date_of_death = Jun2008 
 Loess Fit = 0.2284  Date_of_death = May2008 
 Loess Fit = 0.2044  Date_of_death = May2008 
 Loess Fit = 0.2044  Date_of_death = Mar2008 
 Loess Fit = 0.1804  Date_of_death = Mar2008 
 Loess Fit = 0.1804  Date_of_death = Feb2008 
 Loess Fit = 0.1564  Date_of_death = Feb2008 
 Loess Fit = 0.1564  Date_of_death = Jan2008 
 Loess Fit = 0.1324  Date_of_death = Jan2008 
 Loess Fit = 0.1324  Date_of_death = Dec2007 
 Loess Fit = 0.1084  Date_of_death = Dec2007 
 Loess Fit = 0.1084  Date_of_death = Nov2007 
 Loess Fit = 0.081  Date_of_death = Nov2007 
 Loess Fit = 0.081  Date_of_death = Oct2007 
 Loess Fit = 0.0491  Date_of_death = Oct2007 
 Loess Fit = 0.0491  Date_of_death = Sep2007 
 Loess Fit = 0.0171  Date_of_death = Sep2007 
 Loess Fit = 0.0171  Date_of_death = Aug2007 
 Loess Fit = -0.015  Date_of_death = Aug2007 
 Loess Fit = -0.015  Date_of_death = Jul2007 
 Loess Fit = -0.047  Date_of_death = Jul2007 
 Loess Fit = -0.047  Date_of_death = May2007 
 Loess Fit = -0.079  Date_of_death = May2007 
 Loess Fit = -0.079  Date_of_death = Apr2007 
 Loess Fit = -0.111  Date_of_death = Apr2007 
 Loess Fit = -0.111  Date_of_death = Mar2007 
 Loess Fit = -0.143  Date_of_death = Mar2007 
 Loess Fit = -0.143  Date_of_death = Feb2007 
 Loess Fit = -0.175  Date_of_death = Feb2007 
 Loess Fit = -0.175  Date_of_death = Jan2007 
 Loess Fit = -0.207  Date_of_death = Jan2007 
 Loess Fit = -0.207  Date_of_death = Dec2006 
 Loess Fit = -0.239  Date_of_death = Dec2006 
 Loess Fit = -0.239  Date_of_death = Nov2006 
 Loess Fit = -0.271  Date_of_death = Nov2006 
 Loess Fit = -0.271  Date_of_death = Oct2006 
 Loess Fit = -0.303  Date_of_death = Oct2006 
 Loess Fit = -0.303  Date_of_death = Sep2006 
 Loess Fit = -0.314  Date_of_death = Sep2006 
 Loess Fit = -0.314  Date_of_death = Jul2006 
 Loess Fit = -0.321  Date_of_death = Jul2006 
 Loess Fit = -0.321  Date_of_death = Jun2006 
 Loess Fit = -0.329  Date_of_death = Jun2006 
 Loess Fit = -0.329  Date_of_death = May2006 
 Loess Fit = -0.336  Date_of_death = May2006 
 Loess Fit = -0.336  Date_of_death = Apr2006 
 Loess Fit = -0.343  Date_of_death = Apr2006 
 Loess Fit = -0.343  Date_of_death = Mar2006 
 Loess Fit = -0.351  Date_of_death = Mar2006 
 Loess Fit = -0.351  Date_of_death = Feb2006 
 Loess Fit = -0.358  Date_of_death = Feb2006 
 Loess Fit = -0.358  Date_of_death = Jan2006 
 Loess Fit = -0.366  Date_of_death = Jan2006 
 Loess Fit = -0.366  Date_of_death = Dec2005 
 Loess Fit = -0.373  Date_of_death = Dec2005 
 Loess Fit = -0.373  Date_of_death = Oct2005 
 Loess Fit = -0.38  Date_of_death = Oct2005 
 Loess Fit = -0.38  Date_of_death = Sep2005 
 Loess Fit = -0.388  Date_of_death = Sep2005 
 Loess Fit = -0.388  Date_of_death = Aug2005 
 Loess Fit = -0.395  Date_of_death = Aug2005 
 Loess Fit = -0.395  Date_of_death = Jul2005 
 Loess Fit = -0.396  Date_of_death = Jul2005 
 Loess Fit = -0.396  Date_of_death = Jun2005 
 Loess Fit = -0.38  Date_of_death = Jun2005 
 Loess Fit = -0.38  Date_of_death = May2005 
 Loess Fit = -0.364  Date_of_death = May2005 
 Loess Fit = -0.364  Date_of_death = Apr2005 
 Loess Fit = -0.348  Date_of_death = Apr2005 
 Loess Fit = -0.348  Date_of_death = Mar2005 
 Loess Fit = -0.332  Date_of_death = Mar2005 
 Loess Fit = -0.332  Date_of_death = Feb2005 
 Loess Fit = -0.316  Date_of_death = Feb2005 
 Loess Fit = -0.316  Date_of_death = Dec2004 
 Loess Fit = -0.3  Date_of_death = Dec2004 
 Loess Fit = -0.3  Date_of_death = Nov2004 
 Loess Fit = -0.284  Date_of_death = Nov2004 
 Loess Fit = -0.284  Date_of_death = Oct2004 
 Loess Fit = -0.268  Date_of_death = Oct2004 
 Loess Fit = -0.268  Date_of_death = Sep2004 
 Loess Fit = -0.252  Date_of_death = Sep2004 
 Loess Fit = -0.252  Date_of_death = Aug2004 
 Loess Fit = -0.236  Date_of_death = Aug2004 
 Loess Fit = -0.236  Date_of_death = Jul2004 
 Loess Fit = -0.221  Date_of_death = Jul2004 
 Loess Fit = -0.221  Date_of_death = Jun2004 
 Loess Fit = -0.205  Date_of_death = Jun2004 
 Loess Fit = -0.205  Date_of_death = May2004 
 Loess Fit = -0.193  Date_of_death = May2004 
 Loess Fit = -0.193  Date_of_death = Apr2004 
 Loess Fit = -0.183  Date_of_death = Apr2004 
 Loess Fit = -0.183  Date_of_death = Feb2004 
 Loess Fit = -0.173  Date_of_death = Feb2004 
 Loess Fit = -0.173  Date_of_death = Jan2004 
 Loess Fit = -0.164  Date_of_death = Jan2004 
 Loess Fit = -0.164  Date_of_death = Dec2003 
 Loess Fit = -0.154  Date_of_death = Dec2003 
 Loess Fit = -0.154  Date_of_death = Nov2003 
 Loess Fit = -0.144  Date_of_death = Nov2003 
 Loess Fit = -0.144  Date_of_death = Oct2003 
 Loess Fit = -0.134  Date_of_death = Oct2003 
 Loess Fit = -0.134  Date_of_death = Sep2003 
 Loess Fit = -0.124  Date_of_death = Sep2003 
 Loess Fit = -0.124  Date_of_death = Aug2003 
 Loess Fit = -0.114  Date_of_death = Aug2003 
 Loess Fit = -0.114  Date_of_death = Jul2003 
 Loess Fit = -0.104  Date_of_death = Jul2003 
 Loess Fit = -0.104  Date_of_death = Jun2003 
 Loess Fit = -0.094  Date_of_death = Jun2003 
 Loess Fit = -0.094  Date_of_death = Apr2003 
 Loess Fit = -0.084  Date_of_death = Apr2003 
 Loess Fit = -0.084  Date_of_death = Mar2003 
 Loess Fit = -0.077  Date_of_death = Mar2003 
 Loess Fit = -0.077  Date_of_death = Feb2003 
 Loess Fit = -0.082  Date_of_death = Feb2003 
 Loess Fit = -0.082  Date_of_death = Jan2003 
 Loess Fit = -0.087  Date_of_death = Jan2003 
 Loess Fit = -0.087  Date_of_death = Dec2002 
 Loess Fit = -0.092  Date_of_death = Dec2002 
 Loess Fit = -0.092  Date_of_death = Nov2002 
 Loess Fit = -0.097  Date_of_death = Nov2002 
 Loess Fit = -0.097  Date_of_death = Oct2002 
 Loess Fit = -0.102  Date_of_death = Oct2002 
 Loess Fit = -0.102  Date_of_death = Sep2002 
 Loess Fit = -0.108  Date_of_death = Sep2002 
 Loess Fit = -0.108  Date_of_death = Jul2002 
 Loess Fit = -0.113  Date_of_death = Jul2002 
 Loess Fit = -0.113  Date_of_death = Jun2002 
 Loess Fit = -0.118  Date_of_death = Jun2002 
 Loess Fit = -0.118  Date_of_death = May2002 
 Loess Fit = -0.123  Date_of_death = May2002 
 Loess Fit = -0.123  Date_of_death = Apr2002 
 Loess Fit = -0.128  Date_of_death = Apr2002 
 Loess Fit = -0.128  Date_of_death = Mar2002 
 Loess Fit = -0.133  Date_of_death = Mar2002 
 Loess Fit = -0.133  Date_of_death = Feb2002 
 Loess Fit = -0.138  Date_of_death = Feb2002 
 Loess Fit = -0.138  Date_of_death = Jan2002 
 Loess Fit = -0.144  Date_of_death = Jan2002 
 Loess Fit = -0.144  Date_of_death = Dec2001 
 Loess Fit = -0.151  Date_of_death = Dec2001 
 Loess Fit = -0.151  Date_of_death = Nov2001 
 Loess Fit = -0.157  Date_of_death = Nov2001 
 Loess Fit = -0.157  Date_of_death = Sep2001 
 Loess Fit = -0.164  Date_of_death = Sep2001 
 Loess Fit = -0.164  Date_of_death = Aug2001 
 Loess Fit = -0.171  Date_of_death = Aug2001 
 Loess Fit = -0.171  Date_of_death = Jul2001 
 Loess Fit = -0.177  Date_of_death = Jul2001 
 Loess Fit = -0.177  Date_of_death = Jun2001 
 Loess Fit = -0.184  Date_of_death = Jun2001 
 Loess Fit = -0.184  Date_of_death = May2001 
 Loess Fit = -0.191  Date_of_death = May2001 
 Loess Fit = -0.191  Date_of_death = Apr2001 
 Loess Fit = -0.197  Date_of_death = Apr2001 
 Loess Fit = -0.197  Date_of_death = Mar2001 
 Loess Fit = -0.204  Date_of_death = Mar2001 
 Loess Fit = -0.204  Date_of_death = Feb2001 
 Loess Fit = -0.21  Date_of_death = Feb2001 
 Loess Fit = -0.21  Date_of_death = Jan2001 
 Loess Fit = -0.217  Date_of_death = Aug2019 
 Prediction Error = -1.684  Date_of_death = Jul2019 
 Prediction Error = 1.3684  Date_of_death = Jun2019 
 Prediction Error = 0.7895  Date_of_death = May2019 
 Prediction Error = 1.6842  Date_of_death = Apr2019 
 Prediction Error = -1.579  Date_of_death = Mar2019 
 Prediction Error = 1.5789  Date_of_death = Feb2019 
 Prediction Error = -1.842  Date_of_death = Jan2019 
 Prediction Error = -2.158  Date_of_death = Dec2018 
 Prediction Error = 0.7778  Date_of_death = Nov2018 
 Prediction Error = -1.389  Date_of_death = Oct2018 
 Prediction Error = 1.3889  Date_of_death = Sep2018 
 Prediction Error = 1.4444  Date_of_death = Aug2018 
 Prediction Error = -1.778  Date_of_death = Jul2018 
 Prediction Error = 1.4444  Date_of_death = Jun2018 
 Prediction Error = -1.278  Date_of_death = May2018 
 Prediction Error = -1.389  Date_of_death = Apr2018 
 Prediction Error = 1.5  Date_of_death = Mar2018 
 Prediction Error = -1.5  Date_of_death = Feb2018 
 Prediction Error = 1.2222  Date_of_death = Jan2018 
 Prediction Error = 0.8889  Date_of_death = Dec2017 
 Prediction Error = -1.294  Date_of_death = Nov2017 
 Prediction Error = 1.7059  Date_of_death = Oct2017 
 Prediction Error = 1.4706  Date_of_death = Sep2017 
 Prediction Error = -0.588  Date_of_death = Aug2017 
 Prediction Error = -0.824  Date_of_death = Jul2017 
 Prediction Error = -1.647  Date_of_death = Jun2017 
 Prediction Error = -1.353  Date_of_death = May2017 
 Prediction Error = 0.6471  Date_of_death = Apr2017 
 Prediction Error = -1.588  Date_of_death = Mar2017 
 Prediction Error = -0.529  Date_of_death = Feb2017 
 Prediction Error = 1.2941  Date_of_death = Jan2017 
 Prediction Error = 0.9412  Date_of_death = Dec2016 
 Prediction Error = 0.75  Date_of_death = Nov2016 
 Prediction Error = -0.312  Date_of_death = Oct2016 
 Prediction Error = 1.5625  Date_of_death = Sep2016 
 Prediction Error = -1.687  Date_of_death = Aug2016 
 Prediction Error = 0.1875  Date_of_death = Jul2016 
 Prediction Error = 1.4375  Date_of_death = Jun2016 
 Prediction Error = -1.438  Date_of_death = May2016 
 Prediction Error = -1.438  Date_of_death = Apr2016 
 Prediction Error = 1.5  Date_of_death = Mar2016 
 Prediction Error = 1.5625  Date_of_death = Feb2016 
 Prediction Error = 1.375  Date_of_death = Jan2016 
 Prediction Error = -1.125  Date_of_death = Dec2015 
 Prediction Error = 0.8  Date_of_death = Nov2015 
 Prediction Error = -1.4  Date_of_death = Oct2015 
 Prediction Error = 0.6  Date_of_death = Sep2015 
 Prediction Error = -1.8  Date_of_death = Aug2015 
 Prediction Error = -0.867  Date_of_death = Jul2015 
 Prediction Error = -1.667  Date_of_death = Jun2015 
 Prediction Error = 1.6667  Date_of_death = May2015 
 Prediction Error = -0.467  Date_of_death = Apr2015 
 Prediction Error = -1.6  Date_of_death = Mar2015 
 Prediction Error = -1.533  Date_of_death = Feb2015 
 Prediction Error = 1.4667  Date_of_death = Jan2015 
 Prediction Error = 0.9333  Date_of_death = Dec2014 
 Prediction Error = 0.8571  Date_of_death = Nov2014 
 Prediction Error = -1.5  Date_of_death = Oct2014 
 Prediction Error = 1.7143  Date_of_death = Sep2014 
 Prediction Error = 1.2857  Date_of_death = Aug2014 
 Prediction Error = 1.2143  Date_of_death = Jul2014 
 Prediction Error = -1.786  Date_of_death = Jun2014 
 Prediction Error = 1.7857  Date_of_death = May2014 
 Prediction Error = 1.6429  Date_of_death = Apr2014 
 Prediction Error = -1.714  Date_of_death = Mar2014 
 Prediction Error = 1.5714  Date_of_death = Feb2014 
 Prediction Error = -0.571  Date_of_death = Jan2014 
 Prediction Error = -0.071  Date_of_death = Dec2013 
 Prediction Error = 0.9231  Date_of_death = Nov2013 
 Prediction Error = 1.6154  Date_of_death = Oct2013 
 Prediction Error = -1.385  Date_of_death = Sep2013 
 Prediction Error = 1.3846  Date_of_death = Aug2013 
 Prediction Error = -1.923  Date_of_death = Jul2013 
 Prediction Error = 1.3077  Date_of_death = Jun2013 
 Prediction Error = -0.231  Date_of_death = May2013 
 Prediction Error = -0.385  Date_of_death = Apr2013 
 Prediction Error = -1.846  Date_of_death = Mar2013 
 Prediction Error = 1.6923  Date_of_death = Feb2013 
 Prediction Error = 1.5385  Date_of_death = Jan2013 
 Prediction Error = -1.154  Date_of_death = Dec2012 
 Prediction Error = -2.25  Date_of_death = Nov2012 
 Prediction Error = -1.5  Date_of_death = Oct2012 
 Prediction Error = -1.5  Date_of_death = Sep2012 
 Prediction Error = -0.667  Date_of_death = Aug2012 
 Prediction Error = 1.1667  Date_of_death = Jul2012 
 Prediction Error = -1.833  Date_of_death = Jun2012 
 Prediction Error = -1.333  Date_of_death = May2012 
 Prediction Error = -1.5  Date_of_death = Apr2012 
 Prediction Error = 1.25  Date_of_death = Mar2012 
 Prediction Error = -1.417  Date_of_death = Feb2012 
 Prediction Error = 1.6667  Date_of_death = Jan2012 
 Prediction Error = 0.9167  Date_of_death = Dec2011 
 Prediction Error = -2.455  Date_of_death = Nov2011 
 Prediction Error = -0.545  Date_of_death = Oct2011 
 Prediction Error = 1.6364  Date_of_death = Sep2011 
 Prediction Error = 1.4545  Date_of_death = Aug2011 
 Prediction Error = 0.1818  Date_of_death = Jul2011 
 Prediction Error = 1.2727  Date_of_death = Jun2011 
 Prediction Error = -1.455  Date_of_death = May2011 
 Prediction Error = 1.6364  Date_of_death = Apr2011 
 Prediction Error = -1.909  Date_of_death = Mar2011 
 Prediction Error = 0.6364  Date_of_death = Feb2011 
 Prediction Error = -1.455  Date_of_death = Jan2011 
 Prediction Error = 1  Date_of_death = Dec2010 
 Prediction Error = 0.6  Date_of_death = Nov2010 
 Prediction Error = 1.6  Date_of_death = Oct2010 
 Prediction Error = 1.8  Date_of_death = Sep2010 
 Prediction Error = 1.6  Date_of_death = Aug2010 
 Prediction Error = 1.3  Date_of_death = Jul2010 
 Prediction Error = -0.8  Date_of_death = Jun2010 
 Prediction Error = -1.6  Date_of_death = May2010 
 Prediction Error = -1.5  Date_of_death = Apr2010 
 Prediction Error = 0.1  Date_of_death = Mar2010 
 Prediction Error = -1.5  Date_of_death = Feb2010 
 Prediction Error = 1.7  Date_of_death = Jan2010 
 Prediction Error = 1.1  Date_of_death = Dec2009 
 Prediction Error = 0.6667  Date_of_death = Nov2009 
 Prediction Error = 1.7778  Date_of_death = Oct2009 
 Prediction Error = -0.222  Date_of_death = Sep2009 
 Prediction Error = -1.556  Date_of_death = Aug2009 
 Prediction Error = -0.778  Date_of_death = Jul2009 
 Prediction Error = -0.889  Date_of_death = Jun2009 
 Prediction Error = 1.5556  Date_of_death = May2009 
 Prediction Error = 1.6667  Date_of_death = Apr2009 
 Prediction Error = 1.2222  Date_of_death = Mar2009 
 Prediction Error = 0.5556  Date_of_death = Feb2009 
 Prediction Error = 1.8889  Date_of_death = Jan2009 
 Prediction Error = 1.2222  Date_of_death = Dec2008 
 Prediction Error = 0.75  Date_of_death = Nov2008 
 Prediction Error = 2  Date_of_death = Oct2008 
 Prediction Error = 2  Date_of_death = Sep2008 
 Prediction Error = -1.75  Date_of_death = Aug2008 
 Prediction Error = 1.375  Date_of_death = Jul2008 
 Prediction Error = -1  Date_of_death = Jun2008 
 Prediction Error = 1.75  Date_of_death = May2008 
 Prediction Error = -1.5  Date_of_death = Apr2008 
 Prediction Error = 1.375  Date_of_death = Mar2008 
 Prediction Error = 1.75  Date_of_death = Feb2008 
 Prediction Error = -1.25  Date_of_death = Jan2008 
 Prediction Error = 1.375  Date_of_death = Dec2007 
 Prediction Error = -1.429  Date_of_death = Nov2007 
 Prediction Error = 2.2857  Date_of_death = Oct2007 
 Prediction Error = 2.2857  Date_of_death = Sep2007 
 Prediction Error = 1.4286  Date_of_death = Aug2007 
 Prediction Error = 0.4286  Date_of_death = Jul2007 
 Prediction Error = -2.286  Date_of_death = Jun2007 
 Prediction Error = 2  Date_of_death = May2007 
 Prediction Error = -1.714  Date_of_death = Apr2007 
 Prediction Error = -1.857  Date_of_death = Mar2007 
 Prediction Error = -1.429  Date_of_death = Feb2007 
 Prediction Error = -1.429  Date_of_death = Jan2007 
 Prediction Error = 1.5714  Date_of_death = Dec2006 
 Prediction Error = -1.667  Date_of_death = Nov2006 
 Prediction Error = -0.833  Date_of_death = Oct2006 
 Prediction Error = -0.833  Date_of_death = Sep2006 
 Prediction Error = -1.833  Date_of_death = Aug2006 
 Prediction Error = -0.667  Date_of_death = Jul2006 
 Prediction Error = 0.8333  Date_of_death = Jun2006 
 Prediction Error = -1.167  Date_of_death = May2006 
 Prediction Error = -2  Date_of_death = Apr2006 
 Prediction Error = 1.3333  Date_of_death = Mar2006 
 Prediction Error = -1.667  Date_of_death = Feb2006 
 Prediction Error = -0.5  Date_of_death = Jan2006 
 Prediction Error = -1.667  Date_of_death = Dec2005 
 Prediction Error = -2  Date_of_death = Nov2005 
 Prediction Error = 0.2  Date_of_death = Oct2005 
 Prediction Error = 0.2  Date_of_death = Sep2005 
 Prediction Error = -2.2  Date_of_death = Aug2005 
 Prediction Error = 1.6  Date_of_death = Jul2005 
 Prediction Error = -1.4  Date_of_death = Jun2005 
 Prediction Error = -1.4  Date_of_death = May2005 
 Prediction Error = -1.2  Date_of_death = Apr2005 
 Prediction Error = -2  Date_of_death = Mar2005 
 Prediction Error = -0.8  Date_of_death = Feb2005 
 Prediction Error = 1.8  Date_of_death = Jan2005 
 Prediction Error = 1.6  Date_of_death = Dec2004 
 Prediction Error = -13E-9  Date_of_death = Nov2004 
 Prediction Error = -1  Date_of_death = Oct2004 
 Prediction Error = -1  Date_of_death = Sep2004 
 Prediction Error = 1  Date_of_death = Aug2004 
 Prediction Error = -0.5  Date_of_death = Jul2004 
 Prediction Error = 0.75  Date_of_death = Jun2004 
 Prediction Error = 2  Date_of_death = May2004 
 Prediction Error = 1  Date_of_death = Apr2004 
 Prediction Error = 1.25  Date_of_death = Mar2004 
 Prediction Error = 1.5  Date_of_death = Feb2004 
 Prediction Error = -1.5  Date_of_death = Jan2004 
 Prediction Error = -0.5  Date_of_death = Dec2003 
 Prediction Error = 8.3E-8  Date_of_death = Nov2003 
 Prediction Error = -1.333  Date_of_death = Oct2003 
 Prediction Error = 9.1E-8  Date_of_death = Sep2003 
 Prediction Error = -1.333  Date_of_death = Aug2003 
 Prediction Error = -2  Date_of_death = Jul2003 
 Prediction Error = 1  Date_of_death = Jun2003 
 Prediction Error = -1.333  Date_of_death = May2003 
 Prediction Error = -2.667  Date_of_death = Apr2003 
 Prediction Error = -2.333  Date_of_death = Mar2003 
 Prediction Error = 2  Date_of_death = Feb2003 
 Prediction Error = -0.667  Date_of_death = Jan2003 
 Prediction Error = 2  Date_of_death = Dec2002 
 Prediction Error = 46E-11  Date_of_death = Nov2002 
 Prediction Error = 2.5  Date_of_death = Oct2002 
 Prediction Error = -1.5  Date_of_death = Sep2002 
 Prediction Error = 1  Date_of_death = Aug2002 
 Prediction Error = 1.5  Date_of_death = Jul2002 
 Prediction Error = 1.5  Date_of_death = Jun2002 
 Prediction Error = -0.5  Date_of_death = May2002 
 Prediction Error = 0.5  Date_of_death = Apr2002 
 Prediction Error = 1  Date_of_death = Mar2002 
 Prediction Error = -3E-8  Date_of_death = Feb2002 
 Prediction Error = -1  Date_of_death = Jan2002 
 Prediction Error = 3  Date_of_death = Dec2001 
 Prediction Error = 2.1E-8  Date_of_death = Nov2001 
 Prediction Error = -1  Date_of_death = Oct2001 
 Prediction Error = -3  Date_of_death = Sep2001 
 Prediction Error = 2  Date_of_death = Aug2001 
 Prediction Error = -3  Date_of_death = Jul2001 
 Prediction Error = 3  Date_of_death = Jun2001 
 Prediction Error = -3  Date_of_death = May2001 
 Prediction Error = -1  Date_of_death = Apr2001 
 Prediction Error = -2  Date_of_death = Mar2001 
 Prediction Error = 2  Date_of_death = Feb2001 
 Prediction Error = -2  Date_of_death = Jan2001 
 Prediction Error = 0  Date_of_death = Aug2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jul2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jul2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jun2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jun2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = May2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = May2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Apr2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Apr2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Mar2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Mar2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Feb2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Feb2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jan2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Jan2019 
 2*STD = 2.7508 
 -2*STD = -2.751  Date_of_death = Dec2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Dec2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Nov2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Nov2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Oct2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Oct2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Sep2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Sep2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Aug2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Aug2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jul2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jul2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jun2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jun2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = May2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = May2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Apr2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Apr2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Mar2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Mar2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Feb2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Feb2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jan2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Jan2018 
 2*STD = 2.7546 
 -2*STD = -2.755  Date_of_death = Dec2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Dec2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Nov2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Nov2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Oct2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Oct2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Sep2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Sep2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Aug2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Aug2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jul2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jul2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jun2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jun2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = May2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = May2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Apr2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Apr2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Mar2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Mar2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Feb2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Feb2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jan2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Jan2017 
 2*STD = 2.7589 
 -2*STD = -2.759  Date_of_death = Dec2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Dec2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Nov2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Nov2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Oct2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Oct2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Sep2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Sep2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Aug2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Aug2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jul2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jul2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jun2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jun2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = May2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = May2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Apr2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Apr2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Mar2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Mar2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Feb2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Feb2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jan2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Jan2016 
 2*STD = 2.7637 
 -2*STD = -2.764  Date_of_death = Dec2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Dec2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Nov2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Nov2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Oct2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Oct2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Sep2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Sep2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Aug2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Aug2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jul2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jul2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jun2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jun2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = May2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = May2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Apr2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Apr2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Mar2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Mar2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Feb2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Feb2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jan2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Jan2015 
 2*STD = 2.7691 
 -2*STD = -2.769  Date_of_death = Dec2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Dec2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Nov2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Nov2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Oct2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Oct2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Sep2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Sep2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Aug2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Aug2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jul2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jul2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jun2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jun2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = May2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = May2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Apr2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Apr2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Mar2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Mar2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Feb2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Feb2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jan2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Jan2014 
 2*STD = 2.7753 
 -2*STD = -2.775  Date_of_death = Dec2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Dec2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Nov2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Nov2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Oct2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Oct2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Sep2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Sep2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Aug2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Aug2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jul2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jul2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jun2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jun2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = May2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = May2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Apr2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Apr2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Mar2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Mar2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Feb2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Feb2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jan2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Jan2013 
 2*STD = 2.7824 
 -2*STD = -2.782  Date_of_death = Dec2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Dec2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Nov2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Nov2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Oct2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Oct2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Sep2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Sep2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Aug2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Aug2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jul2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jul2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jun2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jun2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = May2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = May2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Apr2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Apr2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Mar2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Mar2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Feb2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Feb2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jan2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Jan2012 
 2*STD = 2.7907 
 -2*STD = -2.791  Date_of_death = Dec2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Dec2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Nov2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Nov2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Oct2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Oct2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Sep2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Sep2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Aug2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Aug2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jul2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jul2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jun2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jun2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = May2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = May2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Apr2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Apr2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Mar2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Mar2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Feb2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Feb2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jan2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Jan2011 
 2*STD = 2.8004 
 -2*STD = -2.8  Date_of_death = Dec2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Dec2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Nov2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Nov2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Oct2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Oct2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Sep2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Sep2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Aug2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Aug2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jul2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jul2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jun2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jun2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = May2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = May2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Apr2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Apr2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Mar2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Mar2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Feb2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Feb2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jan2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Jan2010 
 2*STD = 2.812 
 -2*STD = -2.812  Date_of_death = Dec2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Dec2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Nov2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Nov2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Oct2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Oct2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Sep2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Sep2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Aug2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Aug2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jul2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jul2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jun2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jun2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = May2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = May2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Apr2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Apr2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Mar2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Mar2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Feb2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Feb2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jan2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Jan2009 
 2*STD = 2.8262 
 -2*STD = -2.826  Date_of_death = Dec2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Dec2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Nov2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Nov2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Oct2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Oct2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Sep2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Sep2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Aug2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Aug2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jul2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jul2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jun2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jun2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = May2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = May2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Apr2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Apr2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Mar2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Mar2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Feb2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Feb2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jan2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Jan2008 
 2*STD = 2.8438 
 -2*STD = -2.844  Date_of_death = Dec2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Dec2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Nov2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Nov2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Oct2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Oct2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Sep2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Sep2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Aug2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Aug2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jul2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jul2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jun2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jun2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = May2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = May2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Apr2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Apr2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Mar2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Mar2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Feb2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Feb2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jan2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Jan2007 
 2*STD = 2.8663 
 -2*STD = -2.866  Date_of_death = Dec2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Dec2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Nov2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Nov2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Oct2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Oct2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Sep2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Sep2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Aug2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Aug2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jul2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jul2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jun2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jun2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = May2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = May2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Apr2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Apr2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Mar2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Mar2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Feb2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Feb2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jan2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Jan2006 
 2*STD = 2.896 
 -2*STD = -2.896  Date_of_death = Dec2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Dec2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Nov2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Nov2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Oct2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Oct2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Sep2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Sep2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Aug2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Aug2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jul2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jul2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jun2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jun2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = May2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = May2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Apr2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Apr2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Mar2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Mar2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Feb2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Feb2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jan2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Jan2005 
 2*STD = 2.9371 
 -2*STD = -2.937  Date_of_death = Dec2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Dec2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Nov2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Nov2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Oct2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Oct2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Sep2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Sep2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Aug2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Aug2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jul2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jul2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jun2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jun2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = May2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = May2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Apr2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Apr2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Mar2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Mar2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Feb2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Feb2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jan2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Jan2004 
 2*STD = 2.9976 
 -2*STD = -2.998  Date_of_death = Dec2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Dec2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Nov2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Nov2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Oct2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Oct2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Sep2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Sep2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Aug2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Aug2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jul2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jul2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jun2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jun2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = May2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = May2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Apr2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Apr2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Mar2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Mar2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Feb2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Feb2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jan2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Jan2003 
 2*STD = 3.0959 
 -2*STD = -3.096  Date_of_death = Dec2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Dec2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Nov2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Nov2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Oct2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Oct2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Sep2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Sep2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Aug2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Aug2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jul2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jul2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jun2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jun2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = May2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = May2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Apr2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Apr2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Mar2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Mar2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Feb2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Feb2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jan2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Jan2002 
 2*STD = 3.2837 
 -2*STD = -3.284  Date_of_death = Dec2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Dec2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Nov2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Nov2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Oct2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Oct2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Sep2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Sep2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Aug2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Aug2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Jul2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Jul2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Jun2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Jun2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = May2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = May2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Apr2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Apr2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Mar2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Mar2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Feb2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Feb2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Date_of_death = Jan2001 
 2*STD = 3.7917 
 -2*STD = -3.792  Y = 0
ResidualLoessPlot

Results

Forecasts

Forecasts for Variable incidents
Obs Date_of_death Forecast Standard
Error
95% Confidence Limits
237 SEP2019 2.631579 1.37541 -0.064178 5.327336
238 OCT2019 2.684212 1.37541 -0.011545 5.379969
239 NOV2019 2.315789 1.37541 -0.379968 5.011546
240 DEC2019 3.263158 1.37541 0.567401 5.958915
241 JAN2020 3.050000 1.37369 0.357615 5.742385
242 FEB2020 2.750001 1.37369 0.057615 5.442386
243 MAR2020 2.500000 1.37369 -0.192385 5.192385
244 APR2020 2.499999 1.37369 -0.192386 5.192385
245 MAY2020 2.400000 1.37369 -0.292385 5.092386
246 JUN2020 2.250000 1.37369 -0.442385 4.942385
247 JUL2020 2.700000 1.37369 0.007615 5.392386
248 AUG2020 2.599999 1.37369 -0.092386 5.292385

Forecasts Only Plot

 Date_of_death = Aug2020 
 Forecast = 2.6000  Date_of_death = Jul2020 
 Forecast = 2.7000  Date_of_death = Jul2020 
 Forecast = 2.7000  Date_of_death = Jun2020 
 Forecast = 2.2500  Date_of_death = Jun2020 
 Forecast = 2.2500  Date_of_death = May2020 
 Forecast = 2.4000  Date_of_death = May2020 
 Forecast = 2.4000  Date_of_death = Apr2020 
 Forecast = 2.5000  Date_of_death = Apr2020 
 Forecast = 2.5000  Date_of_death = Mar2020 
 Forecast = 2.5000  Date_of_death = Mar2020 
 Forecast = 2.5000  Date_of_death = Feb2020 
 Forecast = 2.7500  Date_of_death = Feb2020 
 Forecast = 2.7500  Date_of_death = Jan2020 
 Forecast = 3.0500  Date_of_death = Jan2020 
 Forecast = 3.0500  Date_of_death = Dec2019 
 Forecast = 3.2632  Date_of_death = Dec2019 
 Forecast = 3.2632  Date_of_death = Nov2019 
 Forecast = 2.3158  Date_of_death = Nov2019 
 Forecast = 2.3158  Date_of_death = Oct2019 
 Forecast = 2.6842  Date_of_death = Oct2019 
 Forecast = 2.6842  Date_of_death = Sep2019 
 Forecast = 2.6316  Date_of_death = Aug2020 
 Upper 95% = 5.2924 
 Lower 95% = -0.0924  Date_of_death = Jul2020 
 Upper 95% = 5.3924 
 Lower 95% = 0.0076  Date_of_death = Jul2020 
 Upper 95% = 5.3924 
 Lower 95% = 0.0076  Date_of_death = Jun2020 
 Upper 95% = 4.9424 
 Lower 95% = -0.4424  Date_of_death = Jun2020 
 Upper 95% = 4.9424 
 Lower 95% = -0.4424  Date_of_death = May2020 
 Upper 95% = 5.0924 
 Lower 95% = -0.2924  Date_of_death = May2020 
 Upper 95% = 5.0924 
 Lower 95% = -0.2924  Date_of_death = Apr2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Apr2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Mar2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Mar2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Feb2020 
 Upper 95% = 5.4424 
 Lower 95% = 0.0576  Date_of_death = Feb2020 
 Upper 95% = 5.4424 
 Lower 95% = 0.0576  Date_of_death = Jan2020 
 Upper 95% = 5.7424 
 Lower 95% = 0.3576  Date_of_death = Jan2020 
 Upper 95% = 5.7424 
 Lower 95% = 0.3576  Date_of_death = Dec2019 
 Upper 95% = 5.9589 
 Lower 95% = 0.5674  Date_of_death = Dec2019 
 Upper 95% = 5.9589 
 Lower 95% = 0.5674  Date_of_death = Nov2019 
 Upper 95% = 5.0115 
 Lower 95% = -0.3800  Date_of_death = Nov2019 
 Upper 95% = 5.0115 
 Lower 95% = -0.3800  Date_of_death = Oct2019 
 Upper 95% = 5.3800 
 Lower 95% = -0.0115  Date_of_death = Oct2019 
 Upper 95% = 5.3800 
 Lower 95% = -0.0115  Date_of_death = Sep2019 
 Upper 95% = 5.3273 
 Lower 95% = -0.0642
Forecast Only Plot

Forecasts Plot

 X = 21762  Date_of_death = Aug2020 
 Forecast = 2.6000  Date_of_death = Jul2020 
 Forecast = 2.7000  Date_of_death = Jul2020 
 Forecast = 2.7000  Date_of_death = Jun2020 
 Forecast = 2.2500  Date_of_death = Jun2020 
 Forecast = 2.2500  Date_of_death = May2020 
 Forecast = 2.4000  Date_of_death = May2020 
 Forecast = 2.4000  Date_of_death = Apr2020 
 Forecast = 2.5000  Date_of_death = Apr2020 
 Forecast = 2.5000  Date_of_death = Mar2020 
 Forecast = 2.5000  Date_of_death = Mar2020 
 Forecast = 2.5000  Date_of_death = Feb2020 
 Forecast = 2.7500  Date_of_death = Feb2020 
 Forecast = 2.7500  Date_of_death = Jan2020 
 Forecast = 3.0500  Date_of_death = Jan2020 
 Forecast = 3.0500  Date_of_death = Dec2019 
 Forecast = 3.2632  Date_of_death = Dec2019 
 Forecast = 3.2632  Date_of_death = Nov2019 
 Forecast = 2.3158  Date_of_death = Nov2019 
 Forecast = 2.3158  Date_of_death = Oct2019 
 Forecast = 2.6842  Date_of_death = Oct2019 
 Forecast = 2.6842  Date_of_death = Sep2019 
 Forecast = 2.6316  Date_of_death = Sep2019 
 Forecast = 2.6316  Date_of_death = Aug2019 
 Forecast = 2.6842  Date_of_death = Aug2019 
 Forecast = 2.6842  Date_of_death = Jul2019 
 Forecast = 2.6316  Date_of_death = Jul2019 
 Forecast = 2.6316  Date_of_death = Jun2019 
 Forecast = 2.2105  Date_of_death = Jun2019 
 Forecast = 2.2105  Date_of_death = May2019 
 Forecast = 2.3158  Date_of_death = May2019 
 Forecast = 2.3158  Date_of_death = Apr2019 
 Forecast = 2.5789  Date_of_death = Apr2019 
 Forecast = 2.5789  Date_of_death = Mar2019 
 Forecast = 2.4211  Date_of_death = Mar2019 
 Forecast = 2.4211  Date_of_death = Feb2019 
 Forecast = 2.8421  Date_of_death = Feb2019 
 Forecast = 2.8421  Date_of_death = Jan2019 
 Forecast = 3.1579  Date_of_death = Jan2019 
 Forecast = 3.1579  Date_of_death = Dec2018 
 Forecast = 3.2222  Date_of_death = Dec2018 
 Forecast = 3.2222  Date_of_death = Nov2018 
 Forecast = 2.3889  Date_of_death = Nov2018 
 Forecast = 2.3889  Date_of_death = Oct2018 
 Forecast = 2.6111  Date_of_death = Oct2018 
 Forecast = 2.6111  Date_of_death = Sep2018 
 Forecast = 2.5556  Date_of_death = Sep2018 
 Forecast = 2.5556  Date_of_death = Aug2018 
 Forecast = 2.7778  Date_of_death = Aug2018 
 Forecast = 2.7778  Date_of_death = Jul2018 
 Forecast = 2.5556  Date_of_death = Jul2018 
 Forecast = 2.5556  Date_of_death = Jun2018 
 Forecast = 2.2778  Date_of_death = Jun2018 
 Forecast = 2.2778  Date_of_death = May2018 
 Forecast = 2.3889  Date_of_death = May2018 
 Forecast = 2.3889  Date_of_death = Apr2018 
 Forecast = 2.5000  Date_of_death = Apr2018 
 Forecast = 2.5000  Date_of_death = Mar2018 
 Forecast = 2.5000  Date_of_death = Mar2018 
 Forecast = 2.5000  Date_of_death = Feb2018 
 Forecast = 2.7778  Date_of_death = Feb2018 
 Forecast = 2.7778  Date_of_death = Jan2018 
 Forecast = 3.1111  Date_of_death = Jan2018 
 Forecast = 3.1111  Date_of_death = Dec2017 
 Forecast = 3.2941  Date_of_death = Dec2017 
 Forecast = 3.2941  Date_of_death = Nov2017 
 Forecast = 2.2941  Date_of_death = Nov2017 
 Forecast = 2.2941  Date_of_death = Oct2017 
 Forecast = 2.5294  Date_of_death = Oct2017 
 Forecast = 2.5294  Date_of_death = Sep2017 
 Forecast = 2.5882  Date_of_death = Sep2017 
 Forecast = 2.5882  Date_of_death = Aug2017 
 Forecast = 2.8235  Date_of_death = Aug2017 
 Forecast = 2.8235  Date_of_death = Jul2017 
 Forecast = 2.6471  Date_of_death = Jul2017 
 Forecast = 2.6471  Date_of_death = Jun2017 
 Forecast = 2.3529  Date_of_death = Jun2017 
 Forecast = 2.3529  Date_of_death = May2017 
 Forecast = 2.3529  Date_of_death = May2017 
 Forecast = 2.3529  Date_of_death = Apr2017 
 Forecast = 2.5882  Date_of_death = Apr2017 
 Forecast = 2.5882  Date_of_death = Mar2017 
 Forecast = 2.5294  Date_of_death = Mar2017 
 Forecast = 2.5294  Date_of_death = Feb2017 
 Forecast = 2.7059  Date_of_death = Feb2017 
 Forecast = 2.7059  Date_of_death = Jan2017 
 Forecast = 3.0588  Date_of_death = Jan2017 
 Forecast = 3.0588  Date_of_death = Dec2016 
 Forecast = 3.2500  Date_of_death = Dec2016 
 Forecast = 3.2500  Date_of_death = Nov2016 
 Forecast = 2.3125  Date_of_death = Nov2016 
 Forecast = 2.3125  Date_of_death = Oct2016 
 Forecast = 2.4375  Date_of_death = Oct2016 
 Forecast = 2.4375  Date_of_death = Sep2016 
 Forecast = 2.6875  Date_of_death = Sep2016 
 Forecast = 2.6875  Date_of_death = Aug2016 
 Forecast = 2.8125  Date_of_death = Aug2016 
 Forecast = 2.8125  Date_of_death = Jul2016 
 Forecast = 2.5625  Date_of_death = Jul2016 
 Forecast = 2.5625  Date_of_death = Jun2016 
 Forecast = 2.4375  Date_of_death = Jun2016 
 Forecast = 2.4375  Date_of_death = May2016 
 Forecast = 2.4375  Date_of_death = May2016 
 Forecast = 2.4375  Date_of_death = Apr2016 
 Forecast = 2.5000  Date_of_death = Apr2016 
 Forecast = 2.5000  Date_of_death = Mar2016 
 Forecast = 2.4375  Date_of_death = Mar2016 
 Forecast = 2.4375  Date_of_death = Feb2016 
 Forecast = 2.6250  Date_of_death = Feb2016 
 Forecast = 2.6250  Date_of_death = Jan2016 
 Forecast = 3.1250  Date_of_death = Jan2016 
 Forecast = 3.1250  Date_of_death = Dec2015 
 Forecast = 3.2000  Date_of_death = Dec2015 
 Forecast = 3.2000  Date_of_death = Nov2015 
 Forecast = 2.4000  Date_of_death = Nov2015 
 Forecast = 2.4000  Date_of_death = Oct2015 
 Forecast = 2.4000  Date_of_death = Oct2015 
 Forecast = 2.4000  Date_of_death = Sep2015 
 Forecast = 2.8000  Date_of_death = Sep2015 
 Forecast = 2.8000  Date_of_death = Aug2015 
 Forecast = 2.8667  Date_of_death = Aug2015 
 Forecast = 2.8667  Date_of_death = Jul2015 
 Forecast = 2.6667  Date_of_death = Jul2015 
 Forecast = 2.6667  Date_of_death = Jun2015 
 Forecast = 2.3333  Date_of_death = Jun2015 
 Forecast = 2.3333  Date_of_death = May2015 
 Forecast = 2.4667  Date_of_death = May2015 
 Forecast = 2.4667  Date_of_death = Apr2015 
 Forecast = 2.6000  Date_of_death = Apr2015 
 Forecast = 2.6000  Date_of_death = Mar2015 
 Forecast = 2.5333  Date_of_death = Mar2015 
 Forecast = 2.5333  Date_of_death = Feb2015 
 Forecast = 2.5333  Date_of_death = Feb2015 
 Forecast = 2.5333  Date_of_death = Jan2015 
 Forecast = 3.0667  Date_of_death = Jan2015 
 Forecast = 3.0667  Date_of_death = Dec2014 
 Forecast = 3.1429  Date_of_death = Dec2014 
 Forecast = 3.1429  Date_of_death = Nov2014 
 Forecast = 2.5000  Date_of_death = Nov2014 
 Forecast = 2.5000  Date_of_death = Oct2014 
 Forecast = 2.2857  Date_of_death = Oct2014 
 Forecast = 2.2857  Date_of_death = Sep2014 
 Forecast = 2.7143  Date_of_death = Sep2014 
 Forecast = 2.7143  Date_of_death = Aug2014 
 Forecast = 2.7857  Date_of_death = Aug2014 
 Forecast = 2.7857  Date_of_death = Jul2014 
 Forecast = 2.7857  Date_of_death = Jul2014 
 Forecast = 2.7857  Date_of_death = Jun2014 
 Forecast = 2.2143  Date_of_death = Jun2014 
 Forecast = 2.2143  Date_of_death = May2014 
 Forecast = 2.3571  Date_of_death = May2014 
 Forecast = 2.3571  Date_of_death = Apr2014 
 Forecast = 2.7143  Date_of_death = Apr2014 
 Forecast = 2.7143  Date_of_death = Mar2014 
 Forecast = 2.4286  Date_of_death = Mar2014 
 Forecast = 2.4286  Date_of_death = Feb2014 
 Forecast = 2.5714  Date_of_death = Feb2014 
 Forecast = 2.5714  Date_of_death = Jan2014 
 Forecast = 3.0714  Date_of_death = Jan2014 
 Forecast = 3.0714  Date_of_death = Dec2013 
 Forecast = 3.0769  Date_of_death = Dec2013 
 Forecast = 3.0769  Date_of_death = Nov2013 
 Forecast = 2.3846  Date_of_death = Nov2013 
 Forecast = 2.3846  Date_of_death = Oct2013 
 Forecast = 2.3846  Date_of_death = Oct2013 
 Forecast = 2.3846  Date_of_death = Sep2013 
 Forecast = 2.6154  Date_of_death = Sep2013 
 Forecast = 2.6154  Date_of_death = Aug2013 
 Forecast = 2.9231  Date_of_death = Aug2013 
 Forecast = 2.9231  Date_of_death = Jul2013 
 Forecast = 2.6923  Date_of_death = Jul2013 
 Forecast = 2.6923  Date_of_death = Jun2013 
 Forecast = 2.2308  Date_of_death = Jun2013 
 Forecast = 2.2308  Date_of_death = May2013 
 Forecast = 2.3846  Date_of_death = May2013 
 Forecast = 2.3846  Date_of_death = Apr2013 
 Forecast = 2.8462  Date_of_death = Apr2013 
 Forecast = 2.8462  Date_of_death = Mar2013 
 Forecast = 2.3077  Date_of_death = Mar2013 
 Forecast = 2.3077  Date_of_death = Feb2013 
 Forecast = 2.4615  Date_of_death = Feb2013 
 Forecast = 2.4615  Date_of_death = Jan2013 
 Forecast = 3.1538  Date_of_death = Jan2013 
 Forecast = 3.1538  Date_of_death = Dec2012 
 Forecast = 3.2500  Date_of_death = Dec2012 
 Forecast = 3.2500  Date_of_death = Nov2012 
 Forecast = 2.5000  Date_of_death = Nov2012 
 Forecast = 2.5000  Date_of_death = Oct2012 
 Forecast = 2.5000  Date_of_death = Oct2012 
 Forecast = 2.5000  Date_of_death = Sep2012 
 Forecast = 2.6667  Date_of_death = Sep2012 
 Forecast = 2.6667  Date_of_death = Aug2012 
 Forecast = 2.8333  Date_of_death = Aug2012 
 Forecast = 2.8333  Date_of_death = Jul2012 
 Forecast = 2.8333  Date_of_death = Jul2012 
 Forecast = 2.8333  Date_of_death = Jun2012 
 Forecast = 2.3333  Date_of_death = Jun2012 
 Forecast = 2.3333  Date_of_death = May2012 
 Forecast = 2.5000  Date_of_death = May2012 
 Forecast = 2.5000  Date_of_death = Apr2012 
 Forecast = 2.7500  Date_of_death = Apr2012 
 Forecast = 2.7500  Date_of_death = Mar2012 
 Forecast = 2.4167  Date_of_death = Mar2012 
 Forecast = 2.4167  Date_of_death = Feb2012 
 Forecast = 2.3333  Date_of_death = Feb2012 
 Forecast = 2.3333  Date_of_death = Jan2012 
 Forecast = 3.0833  Date_of_death = Jan2012 
 Forecast = 3.0833  Date_of_death = Dec2011 
 Forecast = 3.4545  Date_of_death = Dec2011 
 Forecast = 3.4545  Date_of_death = Nov2011 
 Forecast = 2.5455  Date_of_death = Nov2011 
 Forecast = 2.5455  Date_of_death = Oct2011 
 Forecast = 2.3636  Date_of_death = Oct2011 
 Forecast = 2.3636  Date_of_death = Sep2011 
 Forecast = 2.5455  Date_of_death = Sep2011 
 Forecast = 2.5455  Date_of_death = Aug2011 
 Forecast = 2.8182  Date_of_death = Aug2011 
 Forecast = 2.8182  Date_of_death = Jul2011 
 Forecast = 2.7273  Date_of_death = Jul2011 
 Forecast = 2.7273  Date_of_death = Jun2011 
 Forecast = 2.4545  Date_of_death = Jun2011 
 Forecast = 2.4545  Date_of_death = May2011 
 Forecast = 2.3636  Date_of_death = May2011 
 Forecast = 2.3636  Date_of_death = Apr2011 
 Forecast = 2.9091  Date_of_death = Apr2011 
 Forecast = 2.9091  Date_of_death = Mar2011 
 Forecast = 2.3636  Date_of_death = Mar2011 
 Forecast = 2.3636  Date_of_death = Feb2011 
 Forecast = 2.4545  Date_of_death = Feb2011 
 Forecast = 2.4545  Date_of_death = Jan2011 
 Forecast = 3.0000  Date_of_death = Jan2011 
 Forecast = 3.0000  Date_of_death = Dec2010 
 Forecast = 3.4000  Date_of_death = Dec2010 
 Forecast = 3.4000  Date_of_death = Nov2010 
 Forecast = 2.4000  Date_of_death = Nov2010 
 Forecast = 2.4000  Date_of_death = Oct2010 
 Forecast = 2.2000  Date_of_death = Oct2010 
 Forecast = 2.2000  Date_of_death = Sep2010 
 Forecast = 2.4000  Date_of_death = Sep2010 
 Forecast = 2.4000  Date_of_death = Aug2010 
 Forecast = 2.7000  Date_of_death = Aug2010 
 Forecast = 2.7000  Date_of_death = Jul2010 
 Forecast = 2.8000  Date_of_death = Jul2010 
 Forecast = 2.8000  Date_of_death = Jun2010 
 Forecast = 2.6000  Date_of_death = Jun2010 
 Forecast = 2.6000  Date_of_death = May2010 
 Forecast = 2.5000  Date_of_death = May2010 
 Forecast = 2.5000  Date_of_death = Apr2010 
 Forecast = 2.9000  Date_of_death = Apr2010 
 Forecast = 2.9000  Date_of_death = Mar2010 
 Forecast = 2.5000  Date_of_death = Mar2010 
 Forecast = 2.5000  Date_of_death = Feb2010 
 Forecast = 2.3000  Date_of_death = Feb2010 
 Forecast = 2.3000  Date_of_death = Jan2010 
 Forecast = 2.9000  Date_of_death = Jan2010 
 Forecast = 2.9000  Date_of_death = Dec2009 
 Forecast = 3.3333  Date_of_death = Dec2009 
 Forecast = 3.3333  Date_of_death = Nov2009 
 Forecast = 2.2222  Date_of_death = Nov2009 
 Forecast = 2.2222  Date_of_death = Oct2009 
 Forecast = 2.2222  Date_of_death = Oct2009 
 Forecast = 2.2222  Date_of_death = Sep2009 
 Forecast = 2.5556  Date_of_death = Sep2009 
 Forecast = 2.5556  Date_of_death = Aug2009 
 Forecast = 2.7778  Date_of_death = Aug2009 
 Forecast = 2.7778  Date_of_death = Jul2009 
 Forecast = 2.8889  Date_of_death = Jul2009 
 Forecast = 2.8889  Date_of_death = Jun2009 
 Forecast = 2.4444  Date_of_death = Jun2009 
 Forecast = 2.4444  Date_of_death = May2009 
 Forecast = 2.3333  Date_of_death = May2009 
 Forecast = 2.3333  Date_of_death = Apr2009 
 Forecast = 2.7778  Date_of_death = Apr2009 
 Forecast = 2.7778  Date_of_death = Mar2009 
 Forecast = 2.4444  Date_of_death = Mar2009 
 Forecast = 2.4444  Date_of_death = Feb2009 
 Forecast = 2.1111  Date_of_death = Feb2009 
 Forecast = 2.1111  Date_of_death = Jan2009 
 Forecast = 2.7778  Date_of_death = Jan2009 
 Forecast = 2.7778  Date_of_death = Dec2008 
 Forecast = 3.2500  Date_of_death = Dec2008 
 Forecast = 3.2500  Date_of_death = Nov2008 
 Forecast = 2.0000  Date_of_death = Nov2008 
 Forecast = 2.0000  Date_of_death = Oct2008 
 Forecast = 2.0000  Date_of_death = Oct2008 
 Forecast = 2.0000  Date_of_death = Sep2008 
 Forecast = 2.7500  Date_of_death = Sep2008 
 Forecast = 2.7500  Date_of_death = Aug2008 
 Forecast = 2.6250  Date_of_death = Aug2008 
 Forecast = 2.6250  Date_of_death = Jul2008 
 Forecast = 3.0000  Date_of_death = Jul2008 
 Forecast = 3.0000  Date_of_death = Jun2008 
 Forecast = 2.2500  Date_of_death = Jun2008 
 Forecast = 2.2500  Date_of_death = May2008 
 Forecast = 2.5000  Date_of_death = May2008 
 Forecast = 2.5000  Date_of_death = Apr2008 
 Forecast = 2.6250  Date_of_death = Apr2008 
 Forecast = 2.6250  Date_of_death = Mar2008 
 Forecast = 2.2500  Date_of_death = Mar2008 
 Forecast = 2.2500  Date_of_death = Feb2008 
 Forecast = 2.2500  Date_of_death = Feb2008 
 Forecast = 2.2500  Date_of_death = Jan2008 
 Forecast = 2.6250  Date_of_death = Jan2008 
 Forecast = 2.6250  Date_of_death = Dec2007 
 Forecast = 3.4286  Date_of_death = Dec2007 
 Forecast = 3.4286  Date_of_death = Nov2007 
 Forecast = 1.7143  Date_of_death = Nov2007 
 Forecast = 1.7143  Date_of_death = Oct2007 
 Forecast = 1.7143  Date_of_death = Oct2007 
 Forecast = 1.7143  Date_of_death = Sep2007 
 Forecast = 2.5714  Date_of_death = Sep2007 
 Forecast = 2.5714  Date_of_death = Aug2007 
 Forecast = 2.5714  Date_of_death = Aug2007 
 Forecast = 2.5714  Date_of_death = Jul2007 
 Forecast = 3.2857  Date_of_death = Jul2007 
 Forecast = 3.2857  Date_of_death = Jun2007 
 Forecast = 2.0000  Date_of_death = Jun2007 
 Forecast = 2.0000  Date_of_death = May2007 
 Forecast = 2.7143  Date_of_death = May2007 
 Forecast = 2.7143  Date_of_death = Apr2007 
 Forecast = 2.8571  Date_of_death = Apr2007 
 Forecast = 2.8571  Date_of_death = Mar2007 
 Forecast = 2.4286  Date_of_death = Mar2007 
 Forecast = 2.4286  Date_of_death = Feb2007 
 Forecast = 2.4286  Date_of_death = Feb2007 
 Forecast = 2.4286  Date_of_death = Jan2007 
 Forecast = 2.4286  Date_of_death = Jan2007 
 Forecast = 2.4286  Date_of_death = Dec2006 
 Forecast = 3.6667  Date_of_death = Dec2006 
 Forecast = 3.6667  Date_of_death = Nov2006 
 Forecast = 1.8333  Date_of_death = Nov2006 
 Forecast = 1.8333  Date_of_death = Oct2006 
 Forecast = 1.8333  Date_of_death = Oct2006 
 Forecast = 1.8333  Date_of_death = Sep2006 
 Forecast = 2.8333  Date_of_death = Sep2006 
 Forecast = 2.8333  Date_of_death = Aug2006 
 Forecast = 2.6667  Date_of_death = Aug2006 
 Forecast = 2.6667  Date_of_death = Jul2006 
 Forecast = 3.1667  Date_of_death = Jul2006 
 Forecast = 3.1667  Date_of_death = Jun2006 
 Forecast = 2.1667  Date_of_death = Jun2006 
 Forecast = 2.1667  Date_of_death = May2006 
 Forecast = 3.0000  Date_of_death = May2006 
 Forecast = 3.0000  Date_of_death = Apr2006 
 Forecast = 2.6667  Date_of_death = Apr2006 
 Forecast = 2.6667  Date_of_death = Mar2006 
 Forecast = 2.6667  Date_of_death = Mar2006 
 Forecast = 2.6667  Date_of_death = Feb2006 
 Forecast = 2.5000  Date_of_death = Feb2006 
 Forecast = 2.5000  Date_of_death = Jan2006 
 Forecast = 2.6667  Date_of_death = Jan2006 
 Forecast = 2.6667  Date_of_death = Dec2005 
 Forecast = 4.0000  Date_of_death = Dec2005 
 Forecast = 4.0000  Date_of_death = Nov2005 
 Forecast = 1.8000  Date_of_death = Nov2005 
 Forecast = 1.8000  Date_of_death = Oct2005 
 Forecast = 1.8000  Date_of_death = Oct2005 
 Forecast = 1.8000  Date_of_death = Sep2005 
 Forecast = 3.2000  Date_of_death = Sep2005 
 Forecast = 3.2000  Date_of_death = Aug2005 
 Forecast = 2.4000  Date_of_death = Aug2005 
 Forecast = 2.4000  Date_of_death = Jul2005 
 Forecast = 3.4000  Date_of_death = Jul2005 
 Forecast = 3.4000  Date_of_death = Jun2005 
 Forecast = 2.4000  Date_of_death = Jun2005 
 Forecast = 2.4000  Date_of_death = May2005 
 Forecast = 3.2000  Date_of_death = May2005 
 Forecast = 3.2000  Date_of_death = Apr2005 
 Forecast = 3.0000  Date_of_death = Apr2005 
 Forecast = 3.0000  Date_of_death = Mar2005 
 Forecast = 2.8000  Date_of_death = Mar2005 
 Forecast = 2.8000  Date_of_death = Feb2005 
 Forecast = 2.2000  Date_of_death = Feb2005 
 Forecast = 2.2000  Date_of_death = Jan2005 
 Forecast = 2.4000  Date_of_death = Jan2005 
 Forecast = 2.4000  Date_of_death = Dec2004 
 Forecast = 4.0000  Date_of_death = Dec2004 
 Forecast = 4.0000  Date_of_death = Nov2004 
 Forecast = 2.0000  Date_of_death = Nov2004 
 Forecast = 2.0000  Date_of_death = Oct2004 
 Forecast = 2.0000  Date_of_death = Oct2004 
 Forecast = 2.0000  Date_of_death = Sep2004 
 Forecast = 3.0000  Date_of_death = Sep2004 
 Forecast = 3.0000  Date_of_death = Aug2004 
 Forecast = 2.5000  Date_of_death = Aug2004 
 Forecast = 2.5000  Date_of_death = Jul2004 
 Forecast = 3.2500  Date_of_death = Jul2004 
 Forecast = 3.2500  Date_of_death = Jun2004 
 Forecast = 2.0000  Date_of_death = Jun2004 
 Forecast = 2.0000  Date_of_death = May2004 
 Forecast = 3.0000  Date_of_death = May2004 
 Forecast = 3.0000  Date_of_death = Apr2004 
 Forecast = 2.7500  Date_of_death = Apr2004 
 Forecast = 2.7500  Date_of_death = Mar2004 
 Forecast = 2.5000  Date_of_death = Mar2004 
 Forecast = 2.5000  Date_of_death = Feb2004 
 Forecast = 2.5000  Date_of_death = Feb2004 
 Forecast = 2.5000  Date_of_death = Jan2004 
 Forecast = 2.5000  Date_of_death = Jan2004 
 Forecast = 2.5000  Date_of_death = Dec2003 
 Forecast = 4.0000  Date_of_death = Dec2003 
 Forecast = 4.0000  Date_of_death = Nov2003 
 Forecast = 2.3333  Date_of_death = Nov2003 
 Forecast = 2.3333  Date_of_death = Oct2003 
 Forecast = 2.0000  Date_of_death = Oct2003 
 Forecast = 2.0000  Date_of_death = Sep2003 
 Forecast = 3.3333  Date_of_death = Sep2003 
 Forecast = 3.3333  Date_of_death = Aug2003 
 Forecast = 3.0000  Date_of_death = Aug2003 
 Forecast = 3.0000  Date_of_death = Jul2003 
 Forecast = 3.0000  Date_of_death = Jul2003 
 Forecast = 3.0000  Date_of_death = Jun2003 
 Forecast = 2.3333  Date_of_death = Jun2003 
 Forecast = 2.3333  Date_of_death = May2003 
 Forecast = 3.6667  Date_of_death = May2003 
 Forecast = 3.6667  Date_of_death = Apr2003 
 Forecast = 3.3333  Date_of_death = Apr2003 
 Forecast = 3.3333  Date_of_death = Mar2003 
 Forecast = 2.0000  Date_of_death = Mar2003 
 Forecast = 2.0000  Date_of_death = Feb2003 
 Forecast = 2.6667  Date_of_death = Feb2003 
 Forecast = 2.6667  Date_of_death = Jan2003 
 Forecast = 2.0000  Date_of_death = Jan2003 
 Forecast = 2.0000  Date_of_death = Dec2002 
 Forecast = 4.0000  Date_of_death = Dec2002 
 Forecast = 4.0000  Date_of_death = Nov2002 
 Forecast = 1.5000  Date_of_death = Nov2002 
 Forecast = 1.5000  Date_of_death = Oct2002 
 Forecast = 2.5000  Date_of_death = Oct2002 
 Forecast = 2.5000  Date_of_death = Sep2002 
 Forecast = 3.0000  Date_of_death = Sep2002 
 Forecast = 3.0000  Date_of_death = Aug2002 
 Forecast = 2.5000  Date_of_death = Aug2002 
 Forecast = 2.5000  Date_of_death = Jul2002 
 Forecast = 2.5000  Date_of_death = Jul2002 
 Forecast = 2.5000  Date_of_death = Jun2002 
 Forecast = 2.5000  Date_of_death = Jun2002 
 Forecast = 2.5000  Date_of_death = May2002 
 Forecast = 3.5000  Date_of_death = May2002 
 Forecast = 3.5000  Date_of_death = Apr2002 
 Forecast = 3.0000  Date_of_death = Apr2002 
 Forecast = 3.0000  Date_of_death = Mar2002 
 Forecast = 2.0000  Date_of_death = Mar2002 
 Forecast = 2.0000  Date_of_death = Feb2002 
 Forecast = 3.0000  Date_of_death = Feb2002 
 Forecast = 3.0000  Date_of_death = Jan2002 
 Forecast = 1.0000  Date_of_death = Jan2002 
 Forecast = 1.0000  Date_of_death = Dec2001 
 Forecast = 4.0000  Date_of_death = Dec2001 
 Forecast = 4.0000  Date_of_death = Nov2001 
 Forecast = 2.0000  Date_of_death = Nov2001 
 Forecast = 2.0000  Date_of_death = Oct2001 
 Forecast = 4.0000  Date_of_death = Oct2001 
 Forecast = 4.0000  Date_of_death = Sep2001 
 Forecast = 2.0000  Date_of_death = Sep2001 
 Forecast = 2.0000  Date_of_death = Aug2001 
 Forecast = 4.0000  Date_of_death = Aug2001 
 Forecast = 4.0000  Date_of_death = Jul2001 
 Forecast = 1.0000  Date_of_death = Jul2001 
 Forecast = 1.0000  Date_of_death = Jun2001 
 Forecast = 4.0000  Date_of_death = Jun2001 
 Forecast = 4.0000  Date_of_death = May2001 
 Forecast = 4.0000  Date_of_death = May2001 
 Forecast = 4.0000  Date_of_death = Apr2001 
 Forecast = 4.0000  Date_of_death = Apr2001 
 Forecast = 4.0000  Date_of_death = Mar2001 
 Forecast = 1.0000  Date_of_death = Mar2001 
 Forecast = 1.0000  Date_of_death = Feb2001 
 Forecast = 4.0000  Date_of_death = Feb2001 
 Forecast = 4.0000  Date_of_death = Jan2001 
 Forecast = 1.0000  Date_of_death = Aug2019 
 incidents = 1.0000  Date_of_death = Jul2019 
 incidents = 4.0000  Date_of_death = Jun2019 
 incidents = 3.0000  Date_of_death = May2019 
 incidents = 4.0000  Date_of_death = Apr2019 
 incidents = 1.0000  Date_of_death = Mar2019 
 incidents = 4.0000  Date_of_death = Feb2019 
 incidents = 1.0000  Date_of_death = Jan2019 
 incidents = 1.0000  Date_of_death = Dec2018 
 incidents = 4.0000  Date_of_death = Nov2018 
 incidents = 1.0000  Date_of_death = Oct2018 
 incidents = 4.0000  Date_of_death = Sep2018 
 incidents = 4.0000  Date_of_death = Aug2018 
 incidents = 1.0000  Date_of_death = Jul2018 
 incidents = 4.0000  Date_of_death = Jun2018 
 incidents = 1.0000  Date_of_death = May2018 
 incidents = 1.0000  Date_of_death = Apr2018 
 incidents = 4.0000  Date_of_death = Mar2018 
 incidents = 1.0000  Date_of_death = Feb2018 
 incidents = 4.0000  Date_of_death = Jan2018 
 incidents = 4.0000  Date_of_death = Dec2017 
 incidents = 2.0000  Date_of_death = Nov2017 
 incidents = 4.0000  Date_of_death = Oct2017 
 incidents = 4.0000  Date_of_death = Sep2017 
 incidents = 2.0000  Date_of_death = Aug2017 
 incidents = 2.0000  Date_of_death = Jul2017 
 incidents = 1.0000  Date_of_death = Jun2017 
 incidents = 1.0000  Date_of_death = May2017 
 incidents = 3.0000  Date_of_death = Apr2017 
 incidents = 1.0000  Date_of_death = Mar2017 
 incidents = 2.0000  Date_of_death = Feb2017 
 incidents = 4.0000  Date_of_death = Jan2017 
 incidents = 4.0000  Date_of_death = Dec2016 
 incidents = 4.0000  Date_of_death = Nov2016 
 incidents = 2.0000  Date_of_death = Oct2016 
 incidents = 4.0000  Date_of_death = Sep2016 
 incidents = 1.0000  Date_of_death = Aug2016 
 incidents = 3.0000  Date_of_death = Jul2016 
 incidents = 4.0000  Date_of_death = Jun2016 
 incidents = 1.0000  Date_of_death = May2016 
 incidents = 1.0000  Date_of_death = Apr2016 
 incidents = 4.0000  Date_of_death = Mar2016 
 incidents = 4.0000  Date_of_death = Feb2016 
 incidents = 4.0000  Date_of_death = Jan2016 
 incidents = 2.0000  Date_of_death = Dec2015 
 incidents = 4.0000  Date_of_death = Nov2015 
 incidents = 1.0000  Date_of_death = Oct2015 
 incidents = 3.0000  Date_of_death = Sep2015 
 incidents = 1.0000  Date_of_death = Aug2015 
 incidents = 2.0000  Date_of_death = Jul2015 
 incidents = 1.0000  Date_of_death = Jun2015 
 incidents = 4.0000  Date_of_death = May2015 
 incidents = 2.0000  Date_of_death = Apr2015 
 incidents = 1.0000  Date_of_death = Mar2015 
 incidents = 1.0000  Date_of_death = Feb2015 
 incidents = 4.0000  Date_of_death = Jan2015 
 incidents = 4.0000  Date_of_death = Dec2014 
 incidents = 4.0000  Date_of_death = Nov2014 
 incidents = 1.0000  Date_of_death = Oct2014 
 incidents = 4.0000  Date_of_death = Sep2014 
 incidents = 4.0000  Date_of_death = Aug2014 
 incidents = 4.0000  Date_of_death = Jul2014 
 incidents = 1.0000  Date_of_death = Jun2014 
 incidents = 4.0000  Date_of_death = May2014 
 incidents = 4.0000  Date_of_death = Apr2014 
 incidents = 1.0000  Date_of_death = Mar2014 
 incidents = 4.0000  Date_of_death = Feb2014 
 incidents = 2.0000  Date_of_death = Jan2014 
 incidents = 3.0000  Date_of_death = Dec2013 
 incidents = 4.0000  Date_of_death = Nov2013 
 incidents = 4.0000  Date_of_death = Oct2013 
 incidents = 1.0000  Date_of_death = Sep2013 
 incidents = 4.0000  Date_of_death = Aug2013 
 incidents = 1.0000  Date_of_death = Jul2013 
 incidents = 4.0000  Date_of_death = Jun2013 
 incidents = 2.0000  Date_of_death = May2013 
 incidents = 2.0000  Date_of_death = Apr2013 
 incidents = 1.0000  Date_of_death = Mar2013 
 incidents = 4.0000  Date_of_death = Feb2013 
 incidents = 4.0000  Date_of_death = Jan2013 
 incidents = 2.0000  Date_of_death = Dec2012 
 incidents = 1.0000  Date_of_death = Nov2012 
 incidents = 1.0000  Date_of_death = Oct2012 
 incidents = 1.0000  Date_of_death = Sep2012 
 incidents = 2.0000  Date_of_death = Aug2012 
 incidents = 4.0000  Date_of_death = Jul2012 
 incidents = 1.0000  Date_of_death = Jun2012 
 incidents = 1.0000  Date_of_death = May2012 
 incidents = 1.0000  Date_of_death = Apr2012 
 incidents = 4.0000  Date_of_death = Mar2012 
 incidents = 1.0000  Date_of_death = Feb2012 
 incidents = 4.0000  Date_of_death = Jan2012 
 incidents = 4.0000  Date_of_death = Dec2011 
 incidents = 1.0000  Date_of_death = Nov2011 
 incidents = 2.0000  Date_of_death = Oct2011 
 incidents = 4.0000  Date_of_death = Sep2011 
 incidents = 4.0000  Date_of_death = Aug2011 
 incidents = 3.0000  Date_of_death = Jul2011 
 incidents = 4.0000  Date_of_death = Jun2011 
 incidents = 1.0000  Date_of_death = May2011 
 incidents = 4.0000  Date_of_death = Apr2011 
 incidents = 1.0000  Date_of_death = Mar2011 
 incidents = 3.0000  Date_of_death = Feb2011 
 incidents = 1.0000  Date_of_death = Jan2011 
 incidents = 4.0000  Date_of_death = Dec2010 
 incidents = 4.0000  Date_of_death = Nov2010 
 incidents = 4.0000  Date_of_death = Oct2010 
 incidents = 4.0000  Date_of_death = Sep2010 
 incidents = 4.0000  Date_of_death = Aug2010 
 incidents = 4.0000  Date_of_death = Jul2010 
 incidents = 2.0000  Date_of_death = Jun2010 
 incidents = 1.0000  Date_of_death = May2010 
 incidents = 1.0000  Date_of_death = Apr2010 
 incidents = 3.0000  Date_of_death = Mar2010 
 incidents = 1.0000  Date_of_death = Feb2010 
 incidents = 4.0000  Date_of_death = Jan2010 
 incidents = 4.0000  Date_of_death = Dec2009 
 incidents = 4.0000  Date_of_death = Nov2009 
 incidents = 4.0000  Date_of_death = Oct2009 
 incidents = 2.0000  Date_of_death = Sep2009 
 incidents = 1.0000  Date_of_death = Aug2009 
 incidents = 2.0000  Date_of_death = Jul2009 
 incidents = 2.0000  Date_of_death = Jun2009 
 incidents = 4.0000  Date_of_death = May2009 
 incidents = 4.0000  Date_of_death = Apr2009 
 incidents = 4.0000  Date_of_death = Mar2009 
 incidents = 3.0000  Date_of_death = Feb2009 
 incidents = 4.0000  Date_of_death = Jan2009 
 incidents = 4.0000  Date_of_death = Dec2008 
 incidents = 4.0000  Date_of_death = Nov2008 
 incidents = 4.0000  Date_of_death = Oct2008 
 incidents = 4.0000  Date_of_death = Sep2008 
 incidents = 1.0000  Date_of_death = Aug2008 
 incidents = 4.0000  Date_of_death = Jul2008 
 incidents = 2.0000  Date_of_death = Jun2008 
 incidents = 4.0000  Date_of_death = May2008 
 incidents = 1.0000  Date_of_death = Apr2008 
 incidents = 4.0000  Date_of_death = Mar2008 
 incidents = 4.0000  Date_of_death = Feb2008 
 incidents = 1.0000  Date_of_death = Jan2008 
 incidents = 4.0000  Date_of_death = Dec2007 
 incidents = 2.0000  Date_of_death = Nov2007 
 incidents = 4.0000  Date_of_death = Oct2007 
 incidents = 4.0000  Date_of_death = Sep2007 
 incidents = 4.0000  Date_of_death = Aug2007 
 incidents = 3.0000  Date_of_death = Jul2007 
 incidents = 1.0000  Date_of_death = Jun2007 
 incidents = 4.0000  Date_of_death = May2007 
 incidents = 1.0000  Date_of_death = Apr2007 
 incidents = 1.0000  Date_of_death = Mar2007 
 incidents = 1.0000  Date_of_death = Feb2007 
 incidents = 1.0000  Date_of_death = Jan2007 
 incidents = 4.0000  Date_of_death = Dec2006 
 incidents = 2.0000  Date_of_death = Nov2006 
 incidents = 1.0000  Date_of_death = Oct2006 
 incidents = 1.0000  Date_of_death = Sep2006 
 incidents = 1.0000  Date_of_death = Aug2006 
 incidents = 2.0000  Date_of_death = Jul2006 
 incidents = 4.0000  Date_of_death = Jun2006 
 incidents = 1.0000  Date_of_death = May2006 
 incidents = 1.0000  Date_of_death = Apr2006 
 incidents = 4.0000  Date_of_death = Mar2006 
 incidents = 1.0000  Date_of_death = Feb2006 
 incidents = 2.0000  Date_of_death = Jan2006 
 incidents = 1.0000  Date_of_death = Dec2005 
 incidents = 2.0000  Date_of_death = Nov2005 
 incidents = 2.0000  Date_of_death = Oct2005 
 incidents = 2.0000  Date_of_death = Sep2005 
 incidents = 1.0000  Date_of_death = Aug2005 
 incidents = 4.0000  Date_of_death = Jul2005 
 incidents = 2.0000  Date_of_death = Jun2005 
 incidents = 1.0000  Date_of_death = May2005 
 incidents = 2.0000  Date_of_death = Apr2005 
 incidents = 1.0000  Date_of_death = Mar2005 
 incidents = 2.0000  Date_of_death = Feb2005 
 incidents = 4.0000  Date_of_death = Jan2005 
 incidents = 4.0000  Date_of_death = Dec2004 
 incidents = 4.0000  Date_of_death = Nov2004 
 incidents = 1.0000  Date_of_death = Oct2004 
 incidents = 1.0000  Date_of_death = Sep2004 
 incidents = 4.0000  Date_of_death = Aug2004 
 incidents = 2.0000  Date_of_death = Jul2004 
 incidents = 4.0000  Date_of_death = Jun2004 
 incidents = 4.0000  Date_of_death = May2004 
 incidents = 4.0000  Date_of_death = Apr2004 
 incidents = 4.0000  Date_of_death = Mar2004 
 incidents = 4.0000  Date_of_death = Feb2004 
 incidents = 1.0000  Date_of_death = Jan2004 
 incidents = 2.0000  Date_of_death = Dec2003 
 incidents = 4.0000  Date_of_death = Nov2003 
 incidents = 1.0000  Date_of_death = Oct2003 
 incidents = 2.0000  Date_of_death = Sep2003 
 incidents = 2.0000  Date_of_death = Aug2003 
 incidents = 1.0000  Date_of_death = Jul2003 
 incidents = 4.0000  Date_of_death = Jun2003 
 incidents = 1.0000  Date_of_death = May2003 
 incidents = 1.0000  Date_of_death = Apr2003 
 incidents = 1.0000  Date_of_death = Mar2003 
 incidents = 4.0000  Date_of_death = Feb2003 
 incidents = 2.0000  Date_of_death = Jan2003 
 incidents = 4.0000  Date_of_death = Dec2002 
 incidents = 4.0000  Date_of_death = Nov2002 
 incidents = 4.0000  Date_of_death = Oct2002 
 incidents = 1.0000  Date_of_death = Sep2002 
 incidents = 4.0000  Date_of_death = Aug2002 
 incidents = 4.0000  Date_of_death = Jul2002 
 incidents = 4.0000  Date_of_death = Jun2002 
 incidents = 2.0000  Date_of_death = May2002 
 incidents = 4.0000  Date_of_death = Apr2002 
 incidents = 4.0000  Date_of_death = Mar2002 
 incidents = 2.0000  Date_of_death = Feb2002 
 incidents = 2.0000  Date_of_death = Jan2002 
 incidents = 4.0000  Date_of_death = Dec2001 
 incidents = 4.0000  Date_of_death = Nov2001 
 incidents = 1.0000  Date_of_death = Oct2001 
 incidents = 1.0000  Date_of_death = Sep2001 
 incidents = 4.0000  Date_of_death = Aug2001 
 incidents = 1.0000  Date_of_death = Jul2001 
 incidents = 4.0000  Date_of_death = Jun2001 
 incidents = 1.0000  Date_of_death = May2001 
 incidents = 3.0000  Date_of_death = Apr2001 
 incidents = 2.0000  Date_of_death = Mar2001 
 incidents = 3.0000  Date_of_death = Feb2001 
 incidents = 2.0000  Date_of_death = Jan2001 
 incidents = 1.0000  Date_of_death = Aug2020 
 Upper 95% = 5.2924 
 Lower 95% = -0.0924  Date_of_death = Jul2020 
 Upper 95% = 5.3924 
 Lower 95% = 0.0076  Date_of_death = Jul2020 
 Upper 95% = 5.3924 
 Lower 95% = 0.0076  Date_of_death = Jun2020 
 Upper 95% = 4.9424 
 Lower 95% = -0.4424  Date_of_death = Jun2020 
 Upper 95% = 4.9424 
 Lower 95% = -0.4424  Date_of_death = May2020 
 Upper 95% = 5.0924 
 Lower 95% = -0.2924  Date_of_death = May2020 
 Upper 95% = 5.0924 
 Lower 95% = -0.2924  Date_of_death = Apr2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Apr2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Mar2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Mar2020 
 Upper 95% = 5.1924 
 Lower 95% = -0.1924  Date_of_death = Feb2020 
 Upper 95% = 5.4424 
 Lower 95% = 0.0576  Date_of_death = Feb2020 
 Upper 95% = 5.4424 
 Lower 95% = 0.0576  Date_of_death = Jan2020 
 Upper 95% = 5.7424 
 Lower 95% = 0.3576  Date_of_death = Jan2020 
 Upper 95% = 5.7424 
 Lower 95% = 0.3576  Date_of_death = Dec2019 
 Upper 95% = 5.9589 
 Lower 95% = 0.5674  Date_of_death = Dec2019 
 Upper 95% = 5.9589 
 Lower 95% = 0.5674  Date_of_death = Nov2019 
 Upper 95% = 5.0115 
 Lower 95% = -0.3800  Date_of_death = Nov2019 
 Upper 95% = 5.0115 
 Lower 95% = -0.3800  Date_of_death = Oct2019 
 Upper 95% = 5.3800 
 Lower 95% = -0.0115  Date_of_death = Oct2019 
 Upper 95% = 5.3800 
 Lower 95% = -0.0115  Date_of_death = Sep2019 
 Upper 95% = 5.3273 
 Lower 95% = -0.0642
Forecast Plot